Preprint
Review

Phytoplankton as CO2 Sinks. Redirecting the Carbon Cycle

Altmetrics

Downloads

123

Views

103

Comments

0

A peer-reviewed article of this preprint also exists.

Submitted:

20 August 2024

Posted:

20 August 2024

You are already at the latest version

Alerts
Abstract
Since the Industrial Revolution, nearly 700 GtC of carbon have been emitted into the atmosphere as CO2 derived from human activities, of which 292 GtC remain uncontrolled. Furthermore, the emission rate is increasing yearly, with the latest value (2022) of 11 GtC. By the end of this century, the atmospheric CO2 concentration is predicted to surpass 700 ppm. The effects of this sudden carbon release on the worldwide biogeochemical cycles and balances are not yet fully understood, but it is undeniable that global warming and climate change are already a fact, with this gas playing a starring role. Governmental policies and international agreements on emission reduction need to produce results quickly enough, and the deadline to act is running out. Besides the agreements to reduce emissions, alternative strategies to reverse this trend must be sufficiently promoted. Biological CO2 capture is a speedy flow of the carbon cycle capable of capturing over 115 GtC annually through photosynthesis. An increase of 6.5% in this capture and the subsequent stabilization of produced biomass could counteract the current CO2 emission rate. In this overview, the artificial culture of phytoplankton is considered a potential alternative to conducting this large-scale capture. A production system model is suggested and the main technological and political challenges for using large areas as partially-natural photobioreactors are discussed. The global implementation of these large CO2 sinks and the associated infrastructure would stabilize the carbon cycle while it is developed as a new source of richness.
Keywords: 
Subject: Environmental and Earth Sciences  -   Environmental Science

1. Introduction

We are undoubtedly witnessing the beginning of a change in our planet’s climate [1]. Since large-scale climate changes have occurred periodically on the Earth, it remains unclear to what extent this fluctuation is triggered by human activities developed in the last 300 years or if it is a process that would have occurred anyway. What seems evident is that human activity, primarily the exponential burning of fossil fuels, is greatly accelerating the process [2]. Since there are no precedents for a similar event, our civilization is not yet aware of the many direct effects that this acceleration of global warming may have on our daily life. Although the scientific community is constantly recording increasingly representative figures about the significant relationship between the increase in CO2 in the atmosphere and the increasingly frequent climate anomalies, the measures being implemented at the international level are lax and insufficient and involve a sudden change in our energy system that no country is willing to assume responsibly. Since human activities have unconsciously imbalanced the carbon cycle toward its gaseous form, it seems logical that after becoming aware of the problem, they take the necessary measures to counteract this imbalance by boosting the natural inverse mechanisms. In this sense, photosynthesis is the planet's natural tool to decarbonise short-term the atmosphere [3] However, without human intervention, this mechanism cannot counter the explosive release of carbon. This work provides an overview of the numbers in stimulating photosynthesis on a global scale through the extensive and controlled culture of phytoplankton, as well as a documented discussion of the significant technological and geopolitical challenges governments would face to implement this biological capture of CO2 worldwide.

2. Photosynthesis and Global Balances of Matter and Energy

2.1. Energy Inputs in Perspective

Life on Earth is sustained by a constant flow of energy, circulating among all living organisms and powering their metabolism [4]. This energy is transferred through the different trophic chains which allow the succession of consecutive generations under the selective pressure of the different biotopes. Finally, this energy is gradually lost as heat. Hence, an essential prerequisite for life is the constant entrance of an unlimited amount of transferable energy [5]. In terms of quantity, virtually all energy that sustains life comes from sunlight. Only some chemoautotrophic archaea and bacteria groups can oxidise simple organic and inorganic compounds as an energy source [6]. Every hour, 1.7x105 TWh of solar energy impact on the Earth’s surface. To put this data in perspective, the annual energy consumption of our civilization is 1.65x105 TWh. This means that the annual energy needed to maintain our civilization is provided by only 1h of solar radiation [7].

2.2. Carbon Cycle and Civilization

Before the industrial revolution, the biological carbon cycle maintained its flows almost in equilibrium, and the CO2 concentration in the atmosphere stayed stable between 260 and 285 ppm for almost 12,000 years [8]. In this cycle, around 1.1x106 TWh of sunlight is annually trapped, together with 115 GtC of atmospheric CO2, as Net Primary Production (NPP) to synthesise around 210 Gt of organic matter [9,10,11] of which land biomes capture around 67 GtC (58%), and oceans sink 48 GtC (42%). Despite this enormous flow of matter and energy, 95% of this biomass is finally decomposed across the different trophic chains, releasing the stored energy, powering the life (macro and microscopic), and finally returning to the atmosphere as CO2 [12]. These numbers imply that the planet’s surface covered by primary producers captures around 0.07% of incident radiation as organic carbon agreeing with numbers proposed by Barber [13]. Since the industrial revolution, and mainly since 1960, an additional and artificial source of CO2 has rapidly overloaded the atmosphere with this gas and unbalancing the cycle mentioned above (Figure 1).
In absolute terms, the total CO2 emitted to the atmosphere since 1960 is estimated at 2,570 Gt (695 GtC), of which 65% comes from the growing fossil fuel use and rest 35% comes from land use (agricultural, residential, industrial, etc.). In this way, the atmosphere has gone from an almost stable load of 2,154 Gt of CO2 before industrialization to 3,280 Gt (+52%), which means 304 GtC of additional carbon. Note the sharp difference between the total carbon emitted (695 GtC) and the carbon accumulated (304 GtC). Different natural and artificial sink mechanisms could explain this mismatch. The increase in atmospheric CO2 results in a proportional increase in its partial pressure over ocean surfaces. This causes a shift in the chemical equilibrium toward a higher solubility rate of CO2 in water. This general trend can be intermittently altered by many other climatic phenomena, such as El Niño [15]. However, a growing rate of CO2 uptake by the oceans has been quantified from almost zero in 1750 to 1 GtC in 1960 until the current 2 GtC/year [10, 16]. As absolute figures, since 1750, oceans have captured 168 GtC as dissolved inorganic carbon (DIC), becoming part of their CO2/HCO3- equilibrium. Consequently, marine waters are acidifying progressively and are expected to double acidity before 2100 [17]. Otherwise, the net land uptake of CO2 has gradually increased from almost zero in the 1980s to the current 4 GtC/year. This fact can be explained by an increase in Gross Primary Photosynthesis (GPP) caused by the eutrophication of soils and atmosphere and the expansion of agricultural land. It is estimated that since 1750, almost 870 Gt of CO2 (235 GtC) derived from human emissions has been locked as land carbon (vegetation and soils). Summarising, the total emitted carbon by human activities since the beginning of the industrial revolution (695 GtC) is distributed among land (34%), oceans (24%) and atmosphere (42%), meaning that global mechanisms of the planet have managed to lock 58% of these emissions [10, 18].

2.3. Photosynthetic Efficiency

Despite a large amount of energy continuously reaching the Earth's surface, only a tiny percentage of this is finally stored as reduced carbon by photosynthesis. Initially, only 53% of the incident radiation belongs to the PAR (Photosynthetic active radiation) region, which is suitable for its photochemical transformation. 30% of this effective light is lost by hitting non-photosynthetic cell structures of most primary producers, ending up in available 37%. Ignoring photoinhibition scenarios, 24% of entered photons in PSI and PSII are lost in the adjustment to reach the optimal conversion wavelengths, yielding 28% concerning initial radiation. During the chemical conversion of this remaining light, 68% is lost along the different electronic chains and enzymatic reactions, and only 9%-11% of the initial energy is stored as proper monosaccharides for the metabolism (GPP).Finally, 40% of these compounds are employed in mitochondria or involved in photorespiration processes [19], meaning a 5% theoretical PE (Photosynthetic efficiency). Photorespiration is partially avoided and improved in C4 and CAM plants, shifting the final theoretical efficiency to 6%-7%. Alternatively, C3 plants show passive control against photorespiration/carboxylation balance, reaching 4.7% of theoretical PE [20, 21]. However, these values become even lower in natural environments and rarely exceed 2.4% and 3.4% for C3 and C4 crops, respectively, in what is usually called NPP [22].
Microalgae and cyanobacteria present some differences in this general diagram. Their complexity and the lack of specialised structures allow the reduction of photon impact on non-photosynthetic structures. Furthermore, in these organisms, RuBisCo works in a CO2-rich environment provided by the carboxysomes (cyanobacteria) or the pyrenoid (microalgae), which largely avoid the photorespiratory activity of RuBisCo [23, 24] Therefore, the PE of some microalgae species has been established at around 20% under highly controlled scenarios [25]. Nevertheless, the annual averages of outdoor biomass production systems rarely offer a PE value above 2.5% due to the broad ranges of temperatures, fluctuations in photoperiods and light intensities, among other handicaps [26].

3. Phytoplankton Culture

3.1. A Brief History

There are few references to the human use of microalgae or cyanobacteria before the 20th century. There have only been a few references about using Nostoc sp. as a survival food in famine seasons or as a medicinal herb by local alchemists around 200–300 AD [27]. Additionally, there are some manuscripts on the culinary and medicinal use made by the Aztecs of Arthrospira platensis (Spirulina), which they called "Tecuilatl”. The first Spanish conquerors collected these texts at the end of the fifteenth century [28]. There is also evidence of the traditional consumption of Spirulina by the Kanembu people near Lake Chad [29]. However, it was not until the mid-20th century that the first attempts to produce some microalgae species as human food (Chlorella vulgaris, Arthrospira platensis, etc.) were carried out and documented industrially [30]. From this point on, the development of a whole technology focused on producing different species (Dunaliella salina, Haematococcus pluvialis, Scenedesmus sp., Nannochloropsis gaditana, etc.) began. In parallel, other biotechnological applications were scientifically verified for these and other species and derived compounds, not only as human food but in different fields such as health, cosmetics, or as an energy source [31]. This development culminated with the appearance of the term photobioreactor as a production unit and the development of many designs and culture strategies where the economic viability of the process began to be considered [32].

3.2. Photobioreactors (PBRs)

Historically, PBRs have been classified into two main groups based on their culture-atmosphere interface (Figure 2). These groups are artificial lakes/open ponds and closed PBRs [33].

3.2.1. Open Ponds/Artificial Lakes

Open ponds can be considered an optimization of natural lakes where microalgae and cyanobacteria thrive spontaneously. Therefore, open ponds involve large volumes of culture with a horizontal layout and depths between 20 and 100 cm, which are usually mixed using paddle wheels or by bubbling with air or CO2-enriched air. The control over critical parameters that affect growth rates (pH, temperature, etc.) is usually minimal. As a result, the productivity of these ponds is typically low [34]. Due to the large contact surface with the atmosphere, these systems present a high probability of contamination. Furthermore, the large liquid-air interface leads to an effective rate of evaporation and water loss, which must be replaced artificially or naturally. As the main advantage, open ponds are low-cost systems considering their implementation, running, and scaling. Some representative models of open ponds include raceway ponds [35] or circular oxidation ponds used for water purification [36].

3.2.2. Closed PBRs

In contrast to open ponds, closed PBRs minimise contact between the culture and the atmosphere, thus reducing the probability of contamination and evaporation rates. Consequently, closed PBRs allow for several geometries and designs [33]. A typical example of closed PBRs is a flat panel, where the culture stays vertically arranged between two transparent surfaces spaced several centimeters apart [37]. Other functional geometries include tubular PBRs, where the culture flows through transparent tubes (glass, polymethyl methacrylate, polycarbonate, etc.) of variable diameter arranged vertically, horizontally, or in a helical configuration [38, 39]. A particular variant of tubular PBRs is the annular system, where the culture grows in the cavity between two concentric tubes of different diameters that are vertically disposed [40]. Closed PBRs typically include a robust control system that continuously monitors and, if necessary, adjusts key culture parameters. Therefore, the volumetric productivity is usually higher or much higher than in open ponds. In contrast, closed PBRs are also much more expensive to implement, operate and maintain due to the complex geometry and materials required and the implementation of control systems.

3.2.3. Indoor/Outdoor PBRs

Another classification for PBRs is their setting up inside or outside some protection structure [41]. In the outdoor model, the culture grows outside using sunlight as an energy source. However, it is continuously exposed to large daily and seasonal variations in temperature, illumination, and other atmospheric variables. In contrast, indoor PBRs stay secluded from meteorological conditions and sunlight, needing an artificial light source with the consequent economic spending. Alternatively, indoor models offer greater control over crucial growth factors such as light intensity, photoperiod, and temperature, resulting in increased productivity. Using greenhouses or similar structures as an intermediate strategy allows for using sunlight as an energy source while providing partial protection over weather variations. Regarding this classification, open ponds are typically located in outdoor environments, whereas closed PBRs can improve economic viability in greenhouses.

3.3. Key Parameters for the Growth

The efficiency of transforming light into biomass has a solid multifactorial character. It depends not only on the amount of light received but also on the metabolic status of the culture [42]. The following sections discuss the main factors defining photosynthetic microorganisms' growth rate (Figure 3).

3.3.1. Light

The available light for each cell at a specific moment is the main factor that defines the potential growth rate of a specific system. Regarding utilization, light can be considered from two complementary points of view. On the one hand, regarding the values of power or energy (W/m2, µE/m2·s, Wh/m2·day, etc.) and on the other hand, considering the quality (referring to the wavelengths spectrum of the light source). Combining both features defines a specific organism's suitability [43, 44]. It is commonly believed that the light intensity reaching the surface of a PBR is proportional to the expected growth. However, two main factors complicate this relation (Figure 4): i) The light that impacts the surface of a PBR does not display isotropic transmission across the culture volume. Instead, it exhibits a negative, directional gradient from the surface to the interior of the volume. This decrease follows a logarithmic relationship described by the Beer-Lambert law (I = I0 e(-[]LƐ)), which states that the light intensity at any point within the optical path is determined by the concentration of the culture at the time of measurement, the optical path itself (from the lighted surface to the point of measurement), and the extinction coefficient specific to each microorganism. This feature contrasts with the heterotrophic cultures where the energy source (generally one/several soluble organic molecules) is homogeneously distributed across the entire culture volume and, therefore, available for every cell with the same probability. Thus, light is not available equally to every cell of the culture. However, it depends on the short position within the PBR and the probability of reaching the lit volume in the future. Moreover, the lighted volume of the PBR decreases simultaneously as the concentration of the culture increases. Consequently, the PBR permanently contains cells over-illuminated, correctly illuminated, and possibly in complete darkness. The sum of the light regimes within the PBR defines its rapid growth rate. ii) The kinetics of photochemical transformation follows a saturation pattern concerning the light intensity, analogous to that described by Michaelis and Menten [45] for the enzyme-substrate interaction. This relationship is termed as PI (photosynthesis-irradiance) curve. Therefore, the chloroplasts can linearly increase their oxygen production rate within a limited range of increasing light intensities. However, as the light intensity continues to increase, the photosystem eventually reaches saturation and attains a maximum value of photochemical conversion rate. At this point, the photosystems cannot process all the energy received per unit of time, and they waste it in the form of fluorescence and heat. If the light intensity increases even further, a state of photoinhibition is reached where the O2 production values drop below the maximum and the photosynthetic apparatus is partially damaged [46]. In light’s absence, O2 production is not zero but has negative values due to phytoplankton consuming this molecule as the final electron acceptor. Additionally, it is worth mentioning that the PI curve is highly adaptable and continuously adjusts through photoacclimation by changes in chloroplast pigment concentrations and ratios. This modulation is triggered by factors such as light intensity, temperature changes, or the nutritional status of the culture, and it is specific to each photosynthetic organism [47].

3.3.2. Other Abiotic Parameters

Different phytoplankton species have specific ranges for various abiotic factors, such as salinity, pH, temperature, etc. Implementing the proper tools to monitor and maintain these values within the PBR [48]. However, the control systems mechanisms are usually expensive devices with high energy consumption. Finding this equilibrium between control and expenditure is critical for the project’s viability.
a)
Temperature:
PBRs are designed to maximise the captured light; however, light and heat are two sides of the same coin. Approximately 5% and 45% of solar radiation comprise UV light (250–400 nm) and infrared radiation (700–2500 nm). As a result, outdoor closed PBRs with a high biomass concentration, and a high surface-to-volume ratio becomes very efficient heat collectors whose temperature control is economically infeasible [49]. For photosynthetic microorganisms, the standard temperature range is established between 5°C and 35°C. Low temperatures (until 2–3°C) have a lesser impact, causing only a decrease in cellular metabolism and a slowdown in growth. However, a slight increase in temperature above the optimal range, if sustained for a prolonged period, can dramatically reduce cell viability. Large natural bodies of water typically have a low surface-to-volume ratio, facilitating efficient heat dilution and dissipation through evaporation. This leads to high thermal inertia, resulting in less drastic temperature fluctuations and providing aquatic organisms more time to adjust their metabolism. From here, two different strategies are proposed to manage the temperature of a culture system (Figure 5).
The first preventive strategy involves adjusting the type and geometry of the PBR and the surrounding infrastructure (orientation, spacing, shading, etc.) to a specific latitude with a well-known climate. The second strategy involves corrective measures such as using cooling/heat exchangers, water sprays to counteract and mitigate harmful thermal fluctuations, and manual or automatic shading to avoid long exposures to direct radiation [50]. In any case, these corrective methods often involve significant operating costs that significantly decrease the economic viability of the culture system, especially if insufficient attention is paid to the preventative aspect.
b)
Medium pH
The chemical composition of marine and freshwater bodies of water usually includes varying concentrations of dissolved CO2, bicarbonate, and carbonate. Carbonate strongly tends to precipitate due to its reaction with dissolved cations, particularly divalent calcium, so it is not typically present in high concentrations. For this reason, the pH value in aquatic environments is primarily regulated by the relative concentration between CO2, carbonic acid (H2CO3) and bicarbonate ion (HCO3-), providing a broad pH range between 6.5 and 8.5. During photosynthesis, the carbonic anhydrases (CAH) of photosynthetic organisms use HCO3- ions and H+ to provide an adequate concentration of CO2 to RuBisCO, thus sustaining the Calvin-Benson cycle (Figure 6). This proton depletion increases the pH during the light phase of the photoperiod [51]. The magnitude of this increase is directly related to the amount of incident light and the cellular concentration of the PBR. This chemical system can result in three different scenarios when applied to microalgae culture systems.
-
In the absence of any gas exchange, protons are gradually consumed as they are incorporated into new organic compounds through the Calvin Cycle, increasing pH. This increase can also cause the precipitation of carbonates, negatively impacting photosynthesis since e pH values are outside the optimal range and a lack of precursors accumulates
-
When the culture medium is aerated with air (0.04% CO2), the pH value will reach an equilibrium that mainly depends on the water alkalinity. The maximum pH value under these conditions is usually around 8.3, beyond which carbonate starts to precipitate. When the photosynthetic demand for CO2 is less than the atmospheric CO2 solubilization rate, the pH stays stable and functions as a buffer system. However, if the CO2 demand exceeds the atmospheric delivery rate due to the increment in cellular concentration and/or light intensity, the initial scenario of proton depletion will be gradually reached.
-
In some culture systems, the medium is aerated with enriched-CO2 air. The final pH value, after reaching equilibrium, goes down linearly concerning the concentration of this gas in the air. At a CO2 concentration between 0.5% and 2.0%, the pH remains strongly buffered between 7.0 and 8.5 (depending on the alkalinity of the medium), which is suitable for the growth of most species. At the photosynthetic level, this strategy ensures an ample supply of CO2, even in high cell concentrations or light intensities. Hence, CO2 is never depleted, so the pH remains constantly buffered, and the photosynthesis rate is never limited.
In conclusion, the pH of photosynthetic cultures can be buffered by simply bubbling with air. In this condition, the pH value read at the equilibrium finally depends on the medium alkalinity and is usually suitable for most photosynthetic species. However, when PBR develops high photosynthetic rates, the CO2 partial pressure in the air may not be sufficient to buffer the system and sustain the Calvin Cycle. The artificial rise of CO2 concentration in the air amends this depletion, protecting the buffering system and avoiding the depletion of precursors for the carboxylation reactions.
c)
Major ions and trace metals:
The mineral composition of the medium plays a critical role in the proper development of microalgae metabolism, being a determinant in structural, physiological (osmoregulation), catalytic, and regulatory functions [52]. From this point, many suitable growth media have been developed trying to replicate and optimise the chemical features of natural environments [53].
On one hand, freshwater media shows a low ionic strength, only with the necessary ions to maintain de osmotic equilibrium and to provide the essential cofactors and elements for metabolism (Mg2+, Ca2+, HCO3-, etc.). Alternatively, media based on seawater (natural or artificial) are suitable for most marine microorganisms. Each recipe's metal and vitamin essentially contains the same significant elements, but their concentrations are adapted to a particular group of microorganisms. In addition to these two main clusters, specialised media are available for species with unique environmental origins (halophiles, alkaliphiles, etc.) or specific nutritional requirements (cyanobacteria, diatoms, etc.).

3.3.3. Nutritional Status

Decision-making by any cell at the metabolic level depends entirely on the temporary availability of nutrients and energy. The accessibility to energy and carbon has mainly been argued in previous paragraphs, showing specific features. Therefore, nitrogen and phosphorus can be considered the primary key macronutrients whose concentrations (absolute and relative to other elements) determine the nutritional state of the cell [54]. In the presence of non-limiting concentrations of assailable nitrogen (NO3-, NO2-, NH4+, urea, etc.) or phosphorus (PO43-), besides the proper availability of CO2 and light, photosynthetic microorganisms focus their metabolism on the growth and colonization of the medium. In these terms, biomasses are usually enriched in polar membrane lipids, protein and chlorophylls and deprived of storage polymers (triglycerides, starch, polyhydroxyalkanoates, β-glucans, etc.). Thus, nitrogen and phosphorus availability in a PBR is critical for achieving maximum biomass production and avoiding the stationary phase. However, some production processes induce metabolic stress rather than maximise growth. In these cases, the availability of nitrogen or/and phosphorus is restricted to trigger the synthesis of several valuable metabolites. Examples of these compounds are β-carotene produced by Dunaliella sp. [55], astaxanthin by Haematococcus pluvialis [56], and sulfated exopolysaccharides by Porphyridium sp. [57], among others. High salinity, temperature, high irradiance, and desiccation are other factors usually tuned to stress the culture. These cultures typically develop in two growth phases (Figure 7), leading to better process performance [58].

3.3.4. Culture Mixing

Although some species of phytoplankton can actively move using flagella [59] or gas vesicles [60], most of them need an external source of movement to stay in the water column. Natural water bodies are usually large enough to generate an upper well-mixed layer using different forces such as surface contact with the wind (waves), convective currents, or even the tide cycles [61] Nevertheless, PBRs usually small and insulated water blocks without an artificial source of turbulence, resulting in fast water column stratification. This stratification impedes the system from reaching its maximum efficiency and finally ends with the collapse of the culture [62, 63]. Briefly, the absence of turbulence produces a progressive mass gradient where the culture and the insoluble material are progressively secluded in a small volume (bottom, surfaces, etc.) within PBR. The negative consequences of maintaining this status for a long time can be multiple. If the culture sediments toward an aphotic area, the cells will not receive enough light and gradually lose their energy reserves. Conversely, if the culture sediments are on an over-lit surface, they may suffer photoinhibition and photodamage. Alternatively, the confinement of the culture entails overpopulation and competence by the accession to the main nutrients that are progressively reduced. If this status is prolonged, an anoxic and nutrient-deprived zone is developed in the PBR, ending with gradual cell death. Meanwhile, most of the volume remained idle. Finally, the lack of movement can create a thermocline, causing severe overheating in some zones of PBR that stay overexposed to direct radiation or near the temperature control systems. Therefore, a proper mixing system is essential to disrupt the PBR stratification and to improve heat and mass transfer. In this sense, turbulence in PBRs is usually implemented in three main ways:
a)
Through mechanical devices such as paddle wheels [64, 65] or hydraulic pumps [66], the origin currents and flows rise up the biomass.
b)
Through pneumatic devices that allow bubbling with air or CO2-enriched air generating a current toward the atmosphere and airlift circulation [67].
c)
Through mixed systems that use both strategies [32].
Note that the mixing forces must be finely adjusted for each species, considering its morphology and resistance. Excess turbulence can severely damage the cells with shear forces, friction, and mechanical shocks [68]. Moreover, mixing systems significantly impact in the production model's expenditures [69] since in one way or another, it represents electrical consumption (air compressors, air blowers, centrifugal pumps, etc.).

3.4. Estimations of Growth

Various direct or indirect descriptors can determine the biomass content in a photosynthetic culture [70]. The most informative direct measure is determining the dry weight contents of the culture given in g/L. Other useful measures include cell count per ml using a flow cytometer or microscope. Finally, optical density is a simple and inexpensive way to assess the status of the culture. Alternatively, indirect measures can be reliably extrapolated to dry weight using a proper calibration curve. Punctual measures must be taken over a period to calculate the growth rate. At laboratory scale or in low-volume experiments, the growth rate (μ) and the doubling time (Td) are the most commonly used magnitudes, while in industrial scale with large volumes and surfaces of culture, the volumetric productivity (g/L·day) and areal productivity (g/m2·day) are used to express the amount of synthesised organic material. Over the long term, the most useful unit becomes Tn/ha·year.

3.5. Potential Numbers of Production

The reporting of growth values of photosynthetic microorganisms is plagued by a lack of standardization, making comparisons between different studies difficult. This is due to diverse PRB geometries, variability in light intensity, and insufficient reporting of key data such as surface-to-volume ratios and lighted surface percentage. Outdoor facilities and daily radiation averages further limit the accuracy of growth value assessments. The absence of a proper bibliography exacerbates these difficulties. A thorough study [71] investigated the effect of surface-to-volume ratio on the productivity of Chlorella vulgaris in a modified horizontal PBR with a V-shaped design. The illumination of the system consisted of 7.2 kWh/m2·day, simulating the complete AM 1.5G solar spectrum and distributed over a 12-hour photoperiod. At the same time, the height of the water column was adjusted to modify the reactor volume but not alter the geometry. The results showed that changes in the surface-to-volume ratio had no significant impact on areal productivity, which was almost identical (52 g/m2·day) for all tested volumes. However, volumetric productivity was highly influenced by changes in the optical path, ranging from 0.19 to 1.05 g/L. The areal productivity of a flat horizontal pond used as a control, with a depth of 17 cm, was lower (21 g/m2·day). These results indicate that, in horizontal growth systems, the total incident light is the primary factor determining areal productivity, provided that other parameters remain constant. Assuming a caloric value of 4,300 Kcal/kg for Chlorella vulgaris biomass [72], the PE values recorded are 3.6% for the V-shape design and 1.5% for the horizontal pond. Likewise, these results allow extrapolating growth data, avoiding taking the PBR volume into account and regarding only the incident energy. For instance, daily sunlight radiation in Alicante (as an annual average) is around 5.6 kWh/m2·day, corresponding to areal productivity of around 17 g/m2·day for a horizontal PBR implemented at this location. Although this approach obviates the effect of several key factors, such as daily and seasonal oscillations of light and temperature, the final value is similar to other areal productivity values obtained in outdoor open ponds for several species [73, 74). Additionally, the calculated PEs are in the expected range, so taking this number as a growth rate reference for outdoor cultures is acceptable, bear in mind that which is only an approximation to the order of magnitude for this value.

4. Mitigating Fossil Energy Dependence by Enhancing Photosynthesis

In 2021, global energy consumption amounted to 1.65x105 TWh, which is 40-folds higher than 1960 and continues to rise. Consequently, one of humanity's most important and complex technological challenges in the following years is how to supply this exponential energy demand of our civilization. Of this energy, 82% is still obtained from burning fossil fuels, and only 18% is obtained from burning-free technologies such as nuclear energy, hydroelectric power or renewable energies (wind, photovoltaic, etc.). Even more, only 20% of the electricity generated comes from these clean sources such as hydroelectric, solar, or wind [14, 75].

4.1. Fossil Fuel Reserves and Potential Evolution

Coal reserves at the end of 2020 (sum of anthracite, bituminous, sub-bituminous and lignite) are estimated at 1,170 Gt, equivalent to an average of 8.35x106 TWh of primary energy (28 MJ/kg). Gas reserves are estimated at 144 Gt, equivalent to 2.3x106 TWh of energy (55 MJ/kg). Finally, oil reserves are estimated at 245 Gt, equivalent to 3x106 TWh of energy (45 MJ/kg). From these figures, the total fossil fuel reserves can be estimated at 13.7x106 TWh [76]. Taking into account the current consumption of energy from fossil fuels (1.36x105 TWh) and applying an annual increase of 1x103 TWh [76], these reserves (as a single block) will be exhausted in approximately 75 years (Figure 8).
During this time-lapse 4,330 Gt of CO2 will be emitted into the atmosphere, of which 58% of will be theoretically absorbed by natural mechanisms (Figure 1). Therefore, in 2100, around 1,820 Gt of CO2 will remain in the atmosphere, increasing the concentration of this gas to over 650 ppm. The effects of this rapid increase in CO2 concentration at the global level are still uncertain. However, it seems evident that an increase in global temperature will be one of the most direct consequences of this anthropogenic perturbation. Based on the current trend, it is predicted that at the time of fossil fuel depletion, the planet’s average temperature will be above 4.0°C compared to that observed in 1800 [77]. Other potential consequences could include recurring and intense heat waves, extreme weather, changes in precipitation patterns, sea-level rise, changes in crop productivity, loss of biodiversity, and impacts on human health and the economy. So far, most of the international measures being implemented to front this challenge are focused almost exclusively on reducing CO2 emissions, both from the burning of fossil fuels as well as the anthropic use of the land, and the implementation and promotion of clean energy sources such as solar, wind, tides, and even nuclear fusion. However, these measures have not been developed fast enough to stop this process [78].

4.2. Biological Capture of CO2

The natural process of biological capture of CO2 occurs through photosynthesis by primary producers, which captures yearly 115 GtC (425 Gt of CO2). However, nowadays, this mechanism cannot compensate for the large anthropic CO2 emissions. To correct this imbalance, it seems logical to boost the biological capture of CO2 through strategies such as reforestation, afforestation, agroforestry, and the mass culture of photosynthetic microorganisms. Microalgae and cyanobacteria are the most efficient organisms at the photosynthesis level around the biosphere [25]. Its simplicity allows, under suitable conditions, not to have seasonal production cycles but to be continuously divided. Otherwise, the technology for cultivating these microorganisms already has a consolidated trajectory and a considerable degree of development, so it is reasonable to consider their use to capture excess CO2 in our atmosphere [79, 80].

4.3. A Matter about Figures and Politics

This study try showing a numerical and conceptual evaluation of the feasibility of using biological capture, specifically by cultivating large quantities of phytoplankton, as a solution for excess CO2. Since there is a net flux of around 5.1 GtC/year toward the atmosphere (Figure 1) and assuming that the microalgae biomass contains 55% carbon [81], 9.25GT/year of biomass should be produced to increase the excess of CO2. Figure 8 shows the hypothetical evolution of atmospheric CO2 in a pessimistic scenario where the emission of this gas continues uncontrolled as nowadays, reaching over 700 ppm in a few decades. In comparison, other scenarios are simulated, including the restorative effect of different multiples of the initial phytoplankton production for zero net emissions. Hence, a hypothetical biomass production of around 13 Gt/year (7.5 GtC) would be able to block the current rise in atmospheric CO2 concentration even if any restriction is applied to the current rate of emissions. To approach the worldwide impact of this production, we can use the proposed figure of 17 g/m2·day as the average production value for horizontal outdoor cultures. From here, it can be estimated that it will take a culture area of around 2.1x106 Km2 to reach this target. To put this value in context, this surface is comparable to Greenland (2.16x106 Km2) and represents 0.41% of the planet’s total surface and 1.41% of the land surface. Note that the current land area expended in agriculture is around 38% of the planet’s emerged land [82], ergo, 30 fold upper of this value. Table 1 shows a hypothetical distribution of this surface according to the CO2 emission rates of major world powers and how much this data means regarding their own surfaces.
Although implementing these phytoplankton sinks is justified by self, the obtained biomass is no way a waste. Instead, it can be used as feedstock in different sectors (feed, energy, nutraceuticals etc.). For example, 13 GT/year of biomass equals around 6.5x104 TWh/year, about 40% of the current energetic global demand. The proper harvesting and chemical transformation (gasification, anaerobic digestion, hydrothermal liquefaction, etc.) of this biomass could become an additional energy source either to defray the energetic demand of the own technology or to supply energy to other services [84]. From these gross numbers, the biological capture of CO2 using phytoplankton sinks is proposed as a clever and potentially feasible strategy to redirect the current and dangerous climatic trend. Scientific data are on the table, and the correlation between anthropic activities and natural consequences becomes more and more evident. Only aware deals and joint policies led by G20 will let proper strategies, infrastructure, and scientific teams be developed to complete this and other palliative strategies against accelerated global warming. From a global perspective, the benefits are much higher than the costs. However, it is necessary to make a real cooperative effort between the different states and world factions.

4.4. Technical Challenges

Despite nearly a century of development in phytoplankton culture technology, there have been no attempts to implement it globally. Given the large extent of surface area required, the main world government participation and other technology-based enterprises are necessary to develop and implement this production system at this scale. Phytoplankton culture at this level may have significant adverse effects that must be appropriately managed, such as impacts on biodiversity and aquatic ecosystems, large water requirements, potential eutrophication of these volumes of water, and the release of greenhouse gases if the culture or synthesised biomass is not managed correctly. Based on these premises, the following technical challenges are analysed.

4.4.1. Photobioreactor Features

Given the large scale of the project, it seems necessary to adopt a simple growth system where most of the control systems, such as pH and temperature, are provided by natural mechanisms, and only a few precise anthropic actions need to be taken to trigger an increase in the growth rate of phytoplankton. Therefore, it is mandatory to move away from laboratory or medium-sized culture systems since they are usually too complex to scale to this level and the necessary materials (plastics or glass) are too expensive in such a way that the project becomes unfeasible and the carbon footprint too high. Although it would be simpler, fertilising natural systems such as lakes, lagoons, flooded coastal areas, or even the ocean should not be used. These natural water bodies are not delimited. The uncontrolled growth of phytoplankton can result in several possible adverse effects, such as the destruction of biodiversity and ecological balance in these environments. In this sense, the most suitable strategy could be the construction of wide and simple open ponds with a total depth of around 1 or 2 meters, properly isolated from possible infiltration into the soil and located far enough from other water sources to prevent interactions.

4.4.2. Water Use

One of the biggest challenges in implementing these phytoplankton sinks will be performing water use without competing with or competing against other activities. Assuming a 0.5-meter depth, the proposed culture surface would require a total volume of 1,000 Km3. Fresh water is a precious and scarce resource, and it is not a sustainable strategy to use it for large-scale carbon capture. Hence, using seawater seems mandatory to minimise interference with other water uses. At the energetic level, the pumping expenses for these large volumes can easily jeopardise the project’s viability if not properly managed. For instance, if the PBR (serving as a turbidostat) reaches a steady concentration of 300 g/m2 [71], the daily water flow for pumping, harvesting, and recycling would be 55 Km3/day, which is twice higher than the flow of the Amazon River. This presents a significant challenge, as the electricity consumption needed to move this volume, even with the proper equipment, would be around 100 TWh/year. To put this into perspective, global electricity production from renewable sources (such as solar, wind, and hydroelectric) reached 1,800 TWh in 2020. In addition, to the energy consumption for the daily flows, it would be a wise strategy to use gravity for the initial filling and subsequent water feeding of the ponds (Figure 9). Consequently, locations for these sinks should be at the lowest possible altitude to construct artificial channels to feed the pond with the minimal power consumption.

4.4.3. Species and Growth Medium

Since CO2 capture is a generic process for all photosynthetic microorganisms, it is not worth investing technical and economic efforts in maintaining monospecific cultures. Maybe, the most appropriate strategy would be to select a pool of suitable species, considering the resources and climate of the sink location. Additionally, the sink management must include conducting regular inoculations of these species produced from more controlled PBRs with much smaller volumes. From this point, the own evolution of this environment should generate an ecological balance and even a seasonal succession in the different photosynthetic populations. At the same time, the pressure exerted by recurrent inoculations should encourage the prominence of the selected species in the ponds. Regarding water use, implementing harvesting devices such as centrifuges or tangential filtration systems that present significant energy demand seems unworkable [85]. However, some filamentous cyanobacteria have the peculiarity of being harvested inexpensively because they usually grow in macrostructures easily retained using large meshes. At the same time, the clarified medium drains by itself toward the PBR. Additionally, the growth of such organisms allows the use of dredging ships, which avoids the need for water transport to a processing plant. This method is currently carried out in Klamath Lake (Oregon) for harvesting Aphanizomenon flos-aquae [86]. Moreover, several genera of marine and filamentous cyanobacteria have been characterised by their ability to gain their own organic nitrogen from the reduction in atmospheric nitrogen [87, 88, 89]. This may be a beneficial strategy to maintain the predominance of the desired species in the ponds against competitors that should take nitrogen as soluble ionic species [90].

4.4.4. Mixing System

Although natural mixing mechanisms such as wind, waves, and the mobility of microorganisms will be present, they may not be sufficient to prevent pond stratification and ensure equal access to light and nutrients for all cells. Thus, it will be necessary to implement an artificial mixing system to break down stratification and promote gas exchange. Computing gross numbers about the flow and electrical consumption of some industrial low-pressure blowers (<8,000 Pa), the electric energy needed to aerate the entire culture at 25 L/min·m3 would reach 5 TWh/year with the proper infrastructure. Like water pumping, the energy used to operate these devices should come from renewable energy sources such as photovoltaics or wind power or energy generated from the own biomass produced to minimise the system’s carbon footprint.

4.4.5. Temperature Control

Direct radiation is the main source of energy input into large bodies of water and can quickly raise the temperature well above the ambient on a sunny day. For example, direct radiation of 900 W/m2 falling on 500 L contained in 1 m2 increase its temperature by approximately 1.5°C per hour. Implementing an active temperature control system for these large growth areas seems completely unfeasible regarding critical infrastructure and energy consumption. This would result in producing more CO2 than is being absorbed. However, it is crucial to maintain the temperature within a general range of 5 to 35°C throughout the year. Using natural control systems could be the most innovative temperature management strategy. The primary natural mechanism for temperature control of water blocks is evaporation [91], where the enthalpy of water vaporization, influenced by other weather factors such as wind, temperature, or humidity, allows for a variable rate of energy loss and water loss. This evaporated water should be replenished through rainfall or from the filling channel to maintain the salinity of the medium [92]. Another natural mechanism to buffer the daily and seasonal temperature changes and the absorption of direct radiation is the strong thermal inertia that occurs in large bodies of water [93]. In this case, the depth of the pond plays a critical role in ensuring optimal temperature regulation and maintaining a suitable range of salinities. The depth in the proposed PBR model only affects their water volume while the area remains constant. The deeper the pond, the more water it holds, and the better it can regulate temperature and salt levels by distributing captured heat and reducing the evaporation rate relative to the total volume of water. Nevertheless, an excessive depth implies low volumetric productivity and, therefore, large energy expenditures in the daily management of the system. Furthermore, note that the size of these culture surfaces is sufficiently large to support the development of their natural water cycles, including processes such as evaporation and replenishment through precipitation. Note that even the proposed control mechanism is inapplicable in regions experiencing temperatures below 0°C or above 40°C for extended durations, except in the case of the culture of extremophile species. Furthermore, areas with persistent cloud cover and limited photoperiods are also not conducive to implementing these systems. Therefore, optimal sites for phytoplankton CO2 sinks at thermal level would be characterised by temperate and humid climates, including equatorial, monsoonal, Savannah, subtropical wet, or Mediterranean regions.

4.4.6. Sources of Nutrients

The adequate supply of nutrients is another key factor distinguishing phytoplankton growth in the natural environment from that in PBRs. Thus, intentional and controlled eutrophication of these artificial waters is necessary. Though variable, the average nitrogen content for the dry biomass of phytoplankton is estimated to be around 6% when there are no limitations on the nutrient supply. The production of 13 Gt of biomass annually would therefore require the addition of 780 Mt of nitrogen per year. However, the annual consumption of nitrogen as a fertiliser is around 200 Mt annually [94]. Using this type of fertilization for the ponds would cause a market collapse and a severe conflict with agriculture. The same situation occurs with phosphorus, with an estimated 80 Mt/year required for phytoplankton synthesis, while the current phosphorus consumption in agriculture is 30 Mt/year. As a result, it appears unfeasible to constantly supply new nutrients, presenting another potential obstacle to the successful implementation of this technology. To address this technological challenge, three lines of progress could be pursued. The first approach involves recycling the nutrient content in the synthesised biomass by regularly processing it. This means that the produced biomass should be continuously harvested at a rate of 17 g/m2·day and subjected to a continuous degradation process such as composting, hydrothermal liquefaction, or anaerobic digestion [95]. This would generate nutrient-rich leachates that can be returned to the culture ponds. Moreover, this process would also increase the carbon content of the biomass, making it a more attractive energy source. If a steady concentration of 300 g/m2 is assumed for the whole proposed surface, the locked amount of biomass at any given time would be 630 Mt, equivalent to 38 Mt of nitrogen and 3.8 Mt of phosphorus. Consequently, only an initial and gradual dosage of nutrients is necessary, which should be maintained and corrected. The second approach focuses on using nitrogen-fixing species that thrive in marine waters, specifically cyanobacteria from the Nostocales order. These organisms have specialised cells called heterocysts that can reduce atmospheric nitrogen to ammonia, providing a constant source of nitrogen enrichment in the ponds [96]. Finally, a third strategy involves developing a robust infrastructure for recovering nitrogen and phosphorus from urban, agricultural, and livestock waste. Approximately 380 Km3 of wastewater is produced each year globally, containing approximately 16.6 Mt of nitrogen and 3 Mt of phosphorus [97]. Additionally, 2.2 Gt of solid waste is produced annually worldwide, equivalent to 22 Mt of nitrogen and 11 Mt of phosphorus [98]. From the potential development of these three strategies, it appears more optimistic that, after an initial addition, the nutrient concentration in the ponds can be maintained to avoid limiting the growth rate at any time. Alternatively, managing other micronutrients, such as iron and other trace metals, should not pose a high technological challenge as they are needed in lower concentrations. Even atmospheric exposure (wind, dust, rain, etc.) may replenish some of them.

4.4.7. Biomass Management

Many applications have been proposed for different phytoplankton biomasses to develop their potential markets [99, 100]. Note that, without stabilization methodologies (drying, hydrolysing, etc.), biomass in paste form is rapidly degraded; hence, fresh biomass should be promptly processed. The followings are the main uses and associated technologies for this biomass:
a) Carbon lock: This option involves closing the biomass by burying it or sealing it in airtight bunkers to prevent its spontaneous decomposition from releasing CO2 and CH4 into the atmosphere [101]. This way, the captured carbon is permanently removed from the carbon cycle and detoxifies the atmosphere. However, the economic viability of this option is limited as it does not generate added value to the final product of the technology and becomes waste instead.
b) Energy source: As discussed, 13 Gt of biomass per year can store approximately 6.2x104 TWh, which can be economically reused through processes such as hydrothermal liquefaction [102, 103] or anaerobic digestion [104] to obtain high-density energy carbon (hydrocarbons and methane, respectively) and a liquor or effluent rich in macronutrients. This effluent can be incorporated into PBRs [95, 105], allowing for a closed cycle to reuse these elements in growth. It is necessary to highlight that this use would return part of the fixed CO2 to the atmosphere.
c) Animal Feed: Over 6 Gt/year of forage and grain are consumed to sustain livestock worldwide, producing 340 Mt of meat and 800 Mt of milk, among other products [106]. To achieve these numbers, about 40% of the world's cultivated land is used [107] and is not available for cultivating human food. Phytoplankton is a suitable food source for complementing and sometimes substituting livestock feed for ruminants and monogastric [108]. Microalgae and cyanobacteria are rich in vegetable proteins and high in omega-3 fatty acids, antioxidants, and other compounds, making them not only a source of macronutrients but also a source of compounds that improve the health and vitality of farmed animals [109,110,111].
d) Human Feed: Similarly, the obtained biomass could be an alternative source of nutrients and healthy compounds for human consumption. Phytoplankton is rich in essential amino acids and has a high content of polyunsaturated fatty acids and other beneficial compounds for human health [112]. Currently, 230 Mt of dry protein is consumed annually in our society [113]. To reach this amount, heavy dependence on animal protein is necessary, with environmental and animal welfare consequences. Using phytoplankton as a source of protein could reduce the dependence on animal protein and contribute to a more sustainable and healthy food system.
In addition to the proposed options, there are combined strategies [114,115] where animal feeding, agriculture, and energy production are intercalated, enhancing the product value and increasing the economic viability of the system.

5. Discussion

This is the first study that evaluates the multiple challenges associated with implementing phytoplankton CO2 sinks globally from a gross number perspective. A review of the state-of-the-art microalgae culture is conducted, and the results indicate that it is technologically and logistically feasible to combat excess atmospheric CO2 through biological sequestration. A production model for developing this capture system has also been proposed. However, it should be reviewed, adapted, and corrected for different latitudes. Computations indicate that the annual biological synthesis of 13 Gt of biomass could break CO2 accumulation in the atmosphere. It assumes an average productivity of 17 g/m2·day for phytoplankton and a growth area of 2.1x106 Km2 with 0.5-meter water depth. With these dimensions, it would be required a volume of around 1,000 Km3 to synthesise this amount of biomass. This area could be divided into different production regions worldwide, which should be levelled and terraformed to be wholly isolated from the ground, with a depth of 1 to 2 meter, and flooded in a controlled manner with seawater. From here, the main technical and energy feasibility challenges are enumerated. First, it is necessary to select regions and latitudes with a proper climate to ensure the viability of the selected species, with low energy cost access to water and compatibility with human activities and natural ecosystems. Also, it is mandatory to optimise and reevaluate the pumping and aeration technologies because they are the only active mechanisms to promote growth. Finally, it is necessary to develop a technology for processing and/or to lock the captured carbon in to regulate its flow and enables the recovery and recycling of macronutrients so as not to interfere with other human activities. The proposed global project cannot be carried out without significant world powers' commitment and close collaboration. To encourage the project’s success, these nations should establish a clear political framework and implement measures to drive its implementation forward. These policies should promote and facilitate the creation of socioeconomic infrastructure around this new industry, which can generate wealth and ensure its sustainability at the state or private level. For instances:
a)
Implementing a specialized scientific-technical sector to design an propose suitable regions for establishing these CO2 sinks would be necessary. This sector should standardise the protocol for defining a region as suitable within a specific legal framework
b)
Promoting measures to establish a profitable sector from the culture and harvest of phytoplankton and leading to producing an attractive and valuable product for the market.
c)
Promoting measures to develop a profitable industry for processing the large amount of biomass produced, which can generate added value and demand for the product in such a way that transcends to other sectors, such as energy, human or animal food, or stored as fixed carbon
d)
Creation of international organizations and laws to manage the use of fixed carbon to prevent its new release into the atmosphere.
Finally, it is essential to consider that beyond the potential impact on atmospheric CO2 levels and climate change, there may be other unknown consequences of implementing these CO2 sinks globally. The 5% increase in global NNP and the large-scale production areas required for these sinks could alter the existing ecosystems and impact the biosphere. Creating these pseudo-natural lakes could resemble a marsh or coastal lagoon ecosystem, with its natural nutrient cycles and biodiversity. The artificial flooding of these regions may also alter local climates by changing precipitation patterns and temperatures. Therefore, implementing these sinks should be gradual, and efforts to reduce the dependence on fossil fuels and transition to clean energy should continue simultaneously. The implementation process should be set out in a roadmap that outlines a gradual increase in the capture surface over time while simultaneously developing the necessary culture technology and infrastructure, establishing a market and business model for the biomass generated, and evaluating the potential collateral effects of implementation. It is worth noting that implementing this restructuring of the carbon cycle on a global scale will prepare our civilization for the terraformation of other planets, a crucial milestone in enabling future colonization beyond Earth [116].

Funding

This research received no external funding.

Data Availability Statement

We encourage all authors of articles published in MDPI journals to share their research data. In this section, please provide details regarding where data supporting reported results can be found, including links to publicly archived datasets analyzed or generated during the study. Where no new data were created, or where data is unavailable due to privacy or ethical restrictions, a statement is still required. Suggested Data Availability Statements are available in section “MDPI Research Data Policies” at https://www.mdpi.com/ethics.

Acknowledgments

We would like to thank GlobalBiotech S.L. (Spain) for their support and assistance in the preparation of this literature review.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. ntergovernmental Panel on Climate Change (IPCC). (2023). Summary for Policymakers. In Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change 2023, pp. 3–32. frontmatter, Cambridge: Cambridge University Press. [CrossRef]
  2. Head, M.J.; Steffen, W.; Fagerlind, D.; Waters, C.N.; Poirier, C.; Syvitski, J.; Zalasiewicz, J.A.; Barnosky, A.D.; Cearreta, A.; Jeandel, C.; Leinfelder, R.; McNeill, J.; Rose, N.L.; Summerhayes, C.; Wagreich, M.; Zinke, J. The Great Acceleration is real and provides a quantitative basis for the proposed Anthropocene Series/Epoch. Episodes 2022, 45, 45,359–376. [Google Scholar] [CrossRef]
  3. Nag, B.; Makaranga, A.; Kareya, M.S.; Nesamma, A.A.; Jutur, P.P. Photosynthetic Cell Factories, a New Paradigm for Carbon Dioxide (CO₂) Valorization. In Green Sustainable Process for Chemical and Environmental Engineering and Science; Inamuddin, Altalhi, T., Eds.; Elsevier, 2023; pp. 463–480. [CrossRef]
  4. Rapf, R.; Vaida, V. Sunlight as an Energetic Driver in the Synthesis of Molecules Necessary for Life. Physical Chemistry Chemical Physics 2016, 18, 20067–20084. [Google Scholar] [CrossRef] [PubMed]
  5. Ruban, A. Evolution under the sun: optimizing light harvesting in photosynthesis. Journal of Experimental Botany 2015, 66, 7–23. [Google Scholar] [CrossRef] [PubMed]
  6. Kelly, D.P.; Wood, A.P. The Chemolithotrophic Prokaryotes. In, E. Rosenberg, E.F. DeLong, S. Lory, E. Stackebrandt, & F. Thompson (Eds.).The Prokaryotes 2013, pp. 753–793. Springer, Berlin, Heidelberg. [CrossRef]
  7. Hammarström, L. Overview: capturing the sun for energy production. Ambio, 2012, 41, 103–1007. [Google Scholar] [CrossRef]
  8. Stocker, B.D.; Yu, Z.; Massa, C.; Joos, F. Holocene peatland and ice-core data constraints on the timing and magnitude of CO2 emissions from past land use. Proceedings of the National Academy of Sciences of the United States of America 2017, 114, 1492–1497. [Google Scholar] [CrossRef] [PubMed]
  9. Moriarty, P.; Honnery, D. Global bioenergy: Problems and prospects. International Journal of Global Energy Issues 2007, 27, 231–249. [Google Scholar] [CrossRef]
  10. Intergovernmental Panel on Climate Change (IPCC). (2023). Global Carbon and Other Biogeochemical Cycles and Feedbacks. In Climate Change 2021 – The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change 2023, pp. 673–816. chapter, Cambridge: Cambridge University Press. [CrossRef]
  11. Friedlingstein, P. Global carbon budget 2022. Earth System Science Data 2022, 14, 4811–4900. [Google Scholar] [CrossRef]
  12. Quetin, G.R.; Famiglietti, C.A.; Dadap, N.C.; Bloom, A.A.; Bowman, K.W.; Diffenbaugh, N.S.; Liu, J.; Trugman, A.T.; Konings, A.G. Attributing Past Carbon Fluxes to CO₂ and Climate Change: Respiration Response to CO₂ Fertilization Shifts Regional Distribution of the Carbon Sink. Global Biogeochemical Cycles 2023, 37, e2022GB007478. [Google Scholar] [CrossRef]
  13. Barber, J. Photosynthetic energy conversion: natural and artificial. Chemical Society Reviews 2009, 38, 185–196. [Google Scholar] [CrossRef]
  14. BP. Statistical Review of World Energy 2022. 71th ed. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2022-full-report.pdf. (accessed on January of 2023).
  15. Chatterjee, A.; Gierach, M.; Sutton, A.; Feely, R.; Crisp, D.; Eldering, A.; Gunson, M.; O'Dell, C.; Stephens, B.; Schimel, D. (2017). Influence of El Niño on atmospheric CO2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission. Science 2017, 358, pp–eaam5776. [Google Scholar] [CrossRef] [PubMed]
  16. Khatiwala, S.; Primeau, F.; Hall, T. Reconstruction of the history of anthropogenic CO2 concentrations in the ocean. Nature 2009, 462, 346–349. [Google Scholar] [CrossRef] [PubMed]
  17. Dupont, S.; Pörtner, H.O. A snapshot of ocean acidification research. Marine Biology 2013, 160, 2282–2282. [Google Scholar] [CrossRef]
  18. Ballantyne, A.P.; Liu, Z.; Anderegg, W.R.; Yu, Z.; Stoy, P.; Poulter, B.; Vanderwall, J.; Watts, J.; Kelsey, K.; Neff, J. Reconciling carbon-cycle processes from ecosystem to global scales. Frontiers in Ecology and the Environment 2021, 19, 57–65. [Google Scholar] [CrossRef]
  19. Hall, D.O.; Rao, K.K. Photosynthesis, 6th ed.; Cambridge University Press 1999, 214 pp.
  20. Davis, S.; Lebauer, D.; Long, S. Light to liquid fuel: Theoretical and realized energy conversion efficiency of plants using Crassulacean Acid Metabolism (CAM) in arid conditions. Journal of Experimental Botany 2014, 65, pp.eru163. [Google Scholar] [CrossRef]
  21. Edwards, E.J. Evolutionary trajectories, accessibility, and other metaphors: the case of C4 and CAM photosynthesis. New Phytologist 2019, 223, 1742–1755. [Google Scholar] [CrossRef]
  22. Zhu, X.G.; Long, S.P.; Ort, D.R. What is the maximum efficiency with which photosynthesis can convert solar energy into biomass? Current Opinion Biotechnology 2008, 19, 153–159. [Google Scholar] [CrossRef]
  23. Vecchi, V.; Barera, S.; Bassi, R.; Dall'Osto, L. Potential and Challenges of Improving Photosynthesis in Algae. Plants 2020, 9, 67. [Google Scholar] [CrossRef]
  24. Treves, H.; Lucius, S.; Feil, R.; Stitt, M.; Hagemann, M.; Arrivault, S. Operation of Carbon-Concentrating Mechanisms in Cyanobacteria and Algae requires altered poising of the Calvin-Benson cycle. bioRxiv 2022, 2022.08.23.504937. [CrossRef]
  25. Singh, U.B.; Ahluwalia, A. Microalgae: A promising tool for carbon sequestration. Mitigation and Adaptation Strategies for Global Change 2013, 18, 73–95. [Google Scholar] [CrossRef]
  26. Paul, S.; Bera, S.; Dasgupta, R.; Mondal, S.; Roy, S. Review on the Recent Structural Advances in Open and Closed Systems for Carbon Capture through Algae. Energy Nexus 2021, 4, 100032. [Google Scholar] [CrossRef]
  27. Borowitzka, M.A. Biology of microalgae. Microalgae in Health and Disease Prevention. Elsevier 2018, pp. 23–72. [CrossRef]
  28. Ciferri, O. Spirulina, the edible microorganism. Microbiology Reviews 1983, 47(4), 551–578. [Google Scholar] [CrossRef] [PubMed]
  29. Dangeard, P. Sur une algue bleue alimentaire pour l'homme: Arthrospira platensis (Nordstedt) Gomont. Actes Soc. Linn. Boreaux Extr. Procés-verbaux 1940, 91, 39–41. [Google Scholar]
  30. Geohegan, M. Unicellular Algae as a source of food. Nature 1951, 168, 426–427. [Google Scholar] [CrossRef] [PubMed]
  31. Borowitzka, M.A. High-value products from microalgae—their development and commercialisation. Journal of Applied Phycology 2013, 25, 743–756. [Google Scholar] [CrossRef]
  32. Huang, Q.; Jiang, F.; Wang, L.; Yang, C. Design of Photobioreactors for Mass Cultivation of Photosynthetic Organisms. Engineering 2017, 3, 318–329. [Google Scholar] [CrossRef]
  33. Wang, B.; Lan, C.Q.; Horsman, M. Closed photobioreactors for production of microalgal biomasses. Biotechnology advances 2012, 30, 904–912. [Google Scholar] [CrossRef]
  34. Tredici, M.R.; Chini Zittelli, G.; Rodolfi, L. Photobioreactors. In M. C. Flickinger (Ed.), Encyclopedia of industrial biotechnology. Bioprocess, Bioseparation, and Cell Technology 2009, pp. 1–15. [CrossRef]
  35. Oswald, W.J.; Golueke, C.G. Biological transformation of solar energy. Advances in Applied Microbiology 1969, 2, 223–262. [Google Scholar] [CrossRef]
  36. Brenner, A.; Abeliovich, A. Water purification: Algae in wastewater oxidation ponds. In A. Richmond and Q. Hu (Eds.), Handbook of Microalgal Culture, 2nd ed., 2013, pp. 595–601. [CrossRef]
  37. Slegers, P.M.; Wijffels, R.H.; van Straten, G.; van Boxtel, A.J.B. Design Scenarios for Flat Panel Photobioreactors. Applied Energy 2011, 88, 3342–53. [Google Scholar] [CrossRef]
  38. Fernández, I.; Acién, F.G.; Berenguel, M.; Guzmán, J.L. First principles model of a tubular photobioreactor for microalgal production. Industrial & Engineering Chemistry Research 2014, 53, 11121–11136. [Google Scholar] [CrossRef]
  39. Torzillo, G.; Chini Zittelli, G. Tubular Photobioreactors. In A. Prokop, R. Bajpai & M. Zappi (Eds.), Algal Biorefineries 2015, pp. 105–116. Springer, Cham. [CrossRef]
  40. Nogueira, N.; Nascimento, F.; Cunha, C.; Cordeiro, N. Nannochloropsis gaditana grown outdoors in annular photobioreactors: Operation strategies. Algal Research 2020, 101913. [Google Scholar] [CrossRef]
  41. Ugwu, U.; Aoyagi, H.; Uchiyama, H. Photobioreactors for Mass Cultivation of Algae. Bioresource Technology 2008, 99, 4021–4028. [Google Scholar] [CrossRef]
  42. Masojídek, J.; Ranglová, K; Lakatos, G. E.; Silva Benavides, A.M.; Torzillo, G. Variables Governing Photosynthesis and Growth in Microalgae Mass Cultures. Processes 2021, 9, 820. [Google Scholar] [CrossRef]
  43. Carvalho, A.P.; Silva, S.O.; Baptista, J.M.; Malcata, F.X. Light requirements in microalgal photobioreactors: an overview of biophotonic aspects. Applied Microbiology and Biotechnology 2011, 89, 1275–1288. [Google Scholar] [CrossRef]
  44. Parlevliet, D.; Moheimani, N. Efficient conversion of solar energy to biomass and electricity. Aquatic Biosystems 2014, 10, 4. [Google Scholar] [CrossRef]
  45. Michaelis, L.; Menten, M.L.; Johnson, K.A.; Goody, R.S. The original Michaelis constant: translation of the 1913 Michaelis-Menten paper. Biochemistry 2011, 50, 8264–9. [Google Scholar] [PubMed]
  46. Straka, L.; Rittmann, B.E. (2019). Growth kinetics and mathematical modeling of Synechocystis sp. PCC 6803 under flashing light. Biotechnology and Bioengineering 2019, 116, 469–474. [Google Scholar] [CrossRef] [PubMed]
  47. Mairet, F.; Bayen, T. The promise of dawn: Microalgae photoacclimation as an optimal control problem of resource allocation. Journal of Theoretical Biology 2021, 515, 110597. [Google Scholar] [CrossRef]
  48. Ananthi, V.; Kathirvel, B.; Pugazhendhi, A.; Arun, A. Impact of abiotic factors on biodiesel production by microalgae. Fuel 2021, 284, 118962. [Google Scholar] [CrossRef]
  49. Barten, R.; Djohan, Y.; Evers, W.; Wijffels, R.; Barbosa, M. Towards industrial production of microalgae without temperature control: The effect of diel temperature fluctuations on microalgal physiology. Journal of Biotechnology 2021, 336, 56–63. [Google Scholar] [CrossRef]
  50. Uyar, B.; Kapucu, N. Passive temperature control of an outdoor photobioreactor by phase change materials. Journal of Chemical, Technology and Biotechnology 2015, 90, 915–920. [Google Scholar] [CrossRef]
  51. Gao, K. Approaches and involved principles to control pH/pCO2 stability in algal cultures. Journal of Applied Phycology 2021, 33, 3497–3505. [Google Scholar] [CrossRef]
  52. Fox, J.M.; Zimba, P.V. Minerals and trace elements in microalgae. In I. A. Levine & J. Fleurence (Eds.), Microalgae in health and disease prevention 2018, pp. 177–193. Academic Press. [CrossRef]
  53. Carvalho, J.C.; Bittencourt Sydney, E.; Assú Tessari, L.F.; Soccol, C.R. (2019). Chapter 2 - Culture media for mass production of microalgae. In: Ashok Pandey, J.-S., Chang, C.R., Lee, D.-J., Chisti, Y. (eds.) Biofuels from Algae (2nd ed.) 2019. Elsevier, pp.33-50. [CrossRef]
  54. Yaakob, M.A.; Mohamed, R.M.S.R.; Al-Gheethi, A.; Aswathnarayana Gokare, R.; Ambati, R.R. Influence of Nitrogen and Phosphorus on Microalgal Growth, Biomass, Lipid, and Fatty Acid Production: An Overview. Cells 2021, 10, 393. [Google Scholar] [CrossRef]
  55. Ben-Amotz, A.; Avron, M. On the factors, which determine massive beta-carotene accumulation in the halotolerant alga Dunaliella bardawil. Plant Physiology 1983, 72, 593–597. [Google Scholar] [CrossRef]
  56. Boussiba, S.; Vonshak, A. Astaxanthin accumulation in the green alga Haematococcus pluvialis. Plant Cell Physiology 1991, 32, 1077–1082. [Google Scholar] [CrossRef]
  57. Drira, M.; Elleuch, J.; Ben Hlima, H.; Hentati, F.; Gardarin, C.; Rihouey, C.; Le Cerf, D.; Michaud, P.; Abdelkafi, S.; Fendri, I. Optimization of Exopolysaccharides Production by Porphyridium sordidum and Their Potential to Induce Defense Responses in Arabidopsis thaliana against Fusarium oxysporum. Biomolecules 2021, 11, 282. [Google Scholar] [CrossRef] [PubMed]
  58. Liyanaarachchi, V.; Premaratne, M.; Ariyadasa, T.; Nimarshana, V.; Malik, A. Two-stage cultivation of microalgae for production of high-value compounds and biofuels: A review. Algal Research 2021, 57, 102353. [Google Scholar] [CrossRef]
  59. Hegemann, P. Vision in microalgae. Planta 1997, 203, 265–274. [Google Scholar] [CrossRef] [PubMed]
  60. Walsby, A.E. Gas vesicles. Microbiological Review 1994, 58, 94–144. [Google Scholar] [CrossRef]
  61. St Laurent, L.; Garrett, C. The Role of Internal Tides in Mixing the Deep Ocean. Journal of Physical Oceanography 2022, 32, 2882–2899. [Google Scholar] [CrossRef]
  62. Chanquia, S.N.; Vernet, G.; Kara, S. Photobioreactors for cultivation and synthesis: Specifications, challenges, and perspectives. Engineering in Life Sciences 2022, 22, 712–724. [Google Scholar] [CrossRef]
  63. Souza Kirnev, P.C.; Vandenberghe LP de, S.; Soccol, C.R.; Carvalho JC de Mixing Agitation in Photobioreactors In, H. Thatoi, S. Mohapatra, & S. K. Das (Eds.), Innovations in Fermentation and Phytopharmaceutical Technologies 2022, pp. 13–35. Elsevier. [CrossRef]
  64. Rogers, J.; Rosenberg, J.; Guzman, B.; Oh, V.; Mimbela, L.-E.; Ghassemi, A.; Betenbaugh, M.; Oyler, G. A critical analysis of paddlewheel-driven raceway ponds for algal biofuel production at commercial scales. Algal Research 2013, 4, 76–88. [Google Scholar] [CrossRef]
  65. Hreiz, R.; Sialve, B.; Morchain, J.; Escudié, R.; Steyer, J.-P.; Guiraud, P. Experimental and numerical investigation of hydrodynamics in raceway reactors used for algaculture. Chemical Engineering Journal 2014, 250, 230–239. [Google Scholar] [CrossRef]
  66. Fan, F.; Fei, Z.; Wan, M.; Huang, J.; Wang, W.; Bai, W.; He, M.; Li, Y. The optimization of centrifugal pump driving horizontal tubular photobioreactor for enhancing astaxanthin production using heterotrophic Haematococcus pluvialis. Journal of Biotechnology 2021, 341, 168–174. [Google Scholar] [CrossRef] [PubMed]
  67. Sánchez Mirón, A.; García Camacho, F.; Contreras Gómez, A.; Grima, E.M.; Chisti, Y. Bubble-column and airlift photobioreactors for algal culture. AIChE Journal 2000, 46, 1872–1887. [Google Scholar] [CrossRef]
  68. Wang, C.; Lan, C.Q. Effects of shear stress on microalgae - A review. Biotechnology advances 2018, 36, 986–1002. [Google Scholar] [CrossRef]
  69. Hoffman, J.; Pate, R.; Drennen, T.; Quinn, J. Techno-economic assessment of open microalgae production systems. Algal Research 2017, 23, 51–57. [Google Scholar] [CrossRef]
  70. Schagerl, M.; Siedler, R.; Konopáčová, E.; Ali, S.S. Estimating Biomass and Vitality of Microalgae for Monitoring Cultures: A Roadmap for Reliable Measurements. Cells 2022, 11, 2455. [Google Scholar] [CrossRef] [PubMed]
  71. Cho, C.; Nam, K.; Seo, Y.H.; Kim, J.Y.; Lee, S.; Lee, Y.G.; Yang, J.W. Study of Optical Configurations for Multiple Enhancement of Microalgal Biomass Production. Scientific Reports 2019, 9, 1723. [Google Scholar] [CrossRef]
  72. Illman, A.M.; Scragg, A.H.; Shales, S.W. Increase in Chlorella strains calorific values when grown in low nitrogen medium. Enzyme and Microbial Technology 2000, 27, 631–635. [Google Scholar] [CrossRef]
  73. Borowitzka, A.M.; Moheimani, R.N. Algae for Biofuels and Energy. Developments in Applied Phycology 2013, 5. Preface, Springer Dordrecht Heidelberg New York London. [CrossRef]
  74. De Vree, J.H.; Bosma, R.; Janssen, M.; Barbosa, M.J.; Wijffels, R.H.; Lamers, P.P. Comparison of four outdoor pilot-scale photobioreactors. Biotechnology for Biofuels 2015, 8, 215. [Google Scholar] [CrossRef]
  75. BP. Statistical Review of World Energy 2021. 70th ed. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2021-full-report.pdf (accessed on January of 2023).
  76. Ritchie, H.; Roser, M.; Rosado, P. Energy. Our World in Data 2022. Retrieved from https://ourworldindata.org/energy (accessed on January of 2023).
  77. Princiotta, F.T. The Climate Mitigation Challenge-Where Do We Stand? Journal of Air & Waste Management Association 2021, 71, 1234–1250. [Google Scholar] [CrossRef]
  78. Clémençon, R. The Two Sides of the Paris Climate Agreement: Dismal Failure or Historic Breakthrough? The Journal of Environment & Development 2016, 25, 3–24. [Google Scholar] [CrossRef]
  79. Sayre, R. Microalgae: The Potential for Carbon Capture. BioScience 2010, 60, 722–727. [Google Scholar] [CrossRef]
  80. Prasad, R.; Gupta, S.K.; Shabnam, N.; Oliveira, C.Y.B.; Nema, A.K.; Ansari, F.A.; Bux, F. Role of Microalgae in Global CO2 Sequestration: Physiological Mechanism, Recent Development, Challenges, and Future Prospective. Sustainability 2021, 13, 13061. [Google Scholar] [CrossRef]
  81. Derakhshandeh, M.; Atici, T.; Tezcan Un, U. Evaluation of Wild-Type Microalgae Species Biomass as Carbon Dioxide Sink and Renewable Energy Resource. Waste Biomass Valorization 2021, 12, 105–121. [Google Scholar] [CrossRef]
  82. Food and Agriculture Organization of the United Nations (FAO). Land use in agriculture by the numbers 2020. Retrieved 2022. https://www.fao.org/sustainability/news/detail/en/c/1274219/ (accessed on March of 2023).
  83. Ritchie, H.; Roser, M.; Rosado, P. China: CO2 country profile. Our World in Data 2020. Retrieved from https://ourworldindata.org/co2/country/china?country=~CHN (accessed on March of 2023).
  84. Ebhodaghe, S.O.; Imanah, O.E.; Ndibe, H. Biofuels from microalgae biomass: A review of conversion processes and procedures. Arabian Journal of Chemistry 2022, 15, 103591. [Google Scholar] [CrossRef]
  85. Singh, G.; Patidar, S.K. Microalgae harvesting techniques: A review. Journal of Environmental Management 2018, 217, 499–508. [Google Scholar] [CrossRef]
  86. Carmichael, W.; Drapeau, C.; Anderson, D. Harvesting of Aphanizomenon flos-aquae Ralfs ex Born. & Flah. Var. flos-aquae (Cyanobacteria) from Klamath Lake for human dietary use. Journal of Applied Phycology 2000, 12, 585–595. [Google Scholar] [CrossRef]
  87. Huisman, J.; Codd, G.A.; Paerl, H.W.; Ibelings, B.; Verspagen, J.; Visser, P. Cyanobacterial blooms. Nature Reviews Microbiology 2018, 16, 471–483. [Google Scholar] [CrossRef] [PubMed]
  88. Olofsson, M.; Suikkanen, S.; Kobos, J.; Wasmund, N.; Karlson, B. Basin-specific changes in filamentous cyanobacteria community composition across four decades in the Baltic Sea. Harmful Algae 2020, 91, 101685. [Google Scholar] [CrossRef] [PubMed]
  89. Olofsson, M.; Klawonn, I.; Karlson, B. Nitrogen fixation estimates for the Baltic Sea indicate high rates for the previously overlooked Bothnian Sea. Ambio 2021, 50, 203–214. [Google Scholar] [CrossRef]
  90. Falcón, L.I.; Cipriano, F.; Chistoserdov, A.Y.; Carpenter, E.J. Diversity of diazotrophic unicellular cyanobacteria in the tropical North Atlantic Ocean. Applied and Environmental Microbiology 2002, 68, 5760–5764. [Google Scholar] [CrossRef]
  91. Pruvost, J.; Goetz, V.; Artu, A.; Das, P.; Aljabri, H. Thermal modeling and optimization of microalgal biomass production in the harsh desert conditions of State of Qatar. Algal Research 2019, 38, 101381. [Google Scholar] [CrossRef]
  92. Schmitt, R. Salinity and the Global Water Cycle. Oceanography 2008, 21, 12–19. [Google Scholar] [CrossRef]
  93. De Luca, R.; Bezzo, F.; Béchet, Q.; Bernard, O. Meteorological Data-Based Optimal Control Strategy for Microalgae Cultivation in Open Pond Systems. Complexity 2019, 4363895. [Google Scholar] [CrossRef]
  94. Tian, H.; Bian, Z.; Shi, H.; Qin, X.; Pan, N.; Lu, C.; Pan, S.; Tubiello, F.N.; Chang, J.; Conchedda, G.; Liu, J.; Mueller, N.; Nishina, K.; Xu, R.; Yang, J.; You, L. Zhang, B. History of anthropogenic Nitrogen inputs (HaNi) to the terrestrial biosphere: A 5 arcmin resolution annual dataset from 1860 to 2019. Earth System Science Data 2022, 14, 4551. [Google Scholar] [CrossRef]
  95. Mahata, C.; Mishra, S.; Dhar, S.; Ray, S.; Mohanty, K.; Das, D. Utilization of dark fermentation effluent for algal cultivation in a modified airlift photobioreactor for biomass and biocrude production. Journal of Environmental Management 2022, 330, 11712. [Google Scholar] [CrossRef] [PubMed]
  96. Kumar, K.; Mella-Herrera, R.A.; Golden, J.W. Cyanobacterial heterocysts. Cold Spring Harbor Perspectives in Biology 2010, 2, a000315. Available online: https://cshperspectives.cshlp.org/content/2/4/a000315. [CrossRef] [PubMed]
  97. Qadir, M.; Drechsel, P.; Jiménez Cisneros, B.; Kim, Y.; Pramanik, A.; Mehta, P.; Olaniyan, O. Global and regional potential of wastewater as a water, nutrient and energy source. Natural Resource Forum 2020, 44, 40–51. [Google Scholar] [CrossRef]
  98. Wang, L.; Qin, T.; Zhao, J.; Zhang, Y.; Wu, Z.; Cui, X.; Zhou, G.; Li, C.; Guo, L.; Jiang, G. Exploring the nitrogen reservoir of biodegradable household garbage and its potential in replacing synthetic nitrogen fertilizers in China. PeerJ 2022, 10, e12621. [Google Scholar] [CrossRef]
  99. Udayan, A.; Sirohi, R.; Sreekumar, N.; Sang, B.-I.; Sim, S.J. Mass Cultivation and Harvesting of Microalgal Biomass: Current Trends and Future Perspectives. Bioresource Technology 2022, 344, 126406. [Google Scholar] [CrossRef]
  100. Hachicha, R.; Elleuch, F.; Ben Hlima, H.; Dubessay, P.; de Baynast, H.; Delattre, C.; Pierre, G.; Hachicha, R.; Abdelkafi, S.; Michaud, P.; Fendri, I. Biomolecules from Microalgae and Cyanobacteria: Applications and Market Survey. Applied Sciences 2022, 12, 1924. [Google Scholar] [CrossRef]
  101. Onyeaka, H.; Miri, T.; Kechrist, O.; Hart, A.; Anumudu, C.; Al-sharify, Z.T. Minimizing carbon footprint via microalgae as a biological capture. 100007. Energy Nexus 2021, 4, 100032. [Google Scholar] [CrossRef]
  102. Han, Y.; Hoekman, S.; Cui, Z.; Jena, U.; Das, P. Hydrothermal liquefaction of marine microalgae biomass using co-solvents. Algal Research 2019, 38, 101421. [Google Scholar] [CrossRef]
  103. Aliyu, A.; Lee, J.; Harvey, A. Microalgae for biofuels: A review of thermochemical conversion processes and associated opportunities and challenges. Bioresource Technology Reports 2021, 15, 103591. [Google Scholar] [CrossRef]
  104. Ganesh Saratale, R.; Kumar, G.; Banu, R.; Xia, A.; Periyasamy, S.; Saratale, G.D. A critical review on anaerobic digestion of microalgae and macroalgae and co-digestion of biomass for enhanced methane generation. Bioresource Technology 2018, 262, 319–332. [Google Scholar] [CrossRef] [PubMed]
  105. Ramírez-Romero, A.; Martin, M.; Boyer, A.; Bolzoni, R.; Matricon, L.; Sassi, J.F.; Steyer, J.P.; Delrue, F. Microalgae adaptation as a strategy to recycle the aqueous phase from hydrothermal liquefaction. Bioresource Technology 2023, 371, 128631. [Google Scholar] [CrossRef] [PubMed]
  106. Ritchie, H.; Rosado, P.; Roser, M. Meat and Dairy Production. Our World in Data 2017. https://ourworldindata.org/meat-production (accessed on March of 2023).
  107. Mottet, A.; De Haan, C.; Falcucci, A.; Tempio, G.; Opio, C.; Gerber, P.J. Livestock: On our plates or eating at our table? A new analysis of the feed/food debate. Global Food Security 2017, 14. [Google Scholar] [CrossRef]
  108. Kusmayadi, A.; Leong, Y.K.; Yen, H.W.; Huang, C.Y.; Chang, J.S. Microalgae as sustainable food and feed sources for animals and humans – Biotechnological and environmental aspects. Chemosphere 2021, 271, 129800. [Google Scholar] [CrossRef]
  109. Madeira, M.; Cardoso, C.; Lopes, P.; Coelho, D.; Afonso, C.; Bandarra, N.; Prates, J. Microalgae as feed ingredients for livestock production and meat quality: A review. Livestock Science 2017, 205, 47–59. [Google Scholar] [CrossRef]
  110. Valente, L.M.P.; Cabrita, A.R.J.; Maia, M.R.G.; Valente, I.M.; Engrola, S.; Fonseca, A.J.M.; Ribeiro, D.M.; Lordelo, M.; Martins, C.F.; Cunha, L.F.; Almeida, A.M.; Freire, J.P.B.; Galanakis, C.M. Microalgae as feed ingredients for livestock production and aquaculture. In Microalgae 2021, pp. 239–312. Academic Press. [CrossRef]
  111. Saadaoui, I.; Rasheed, R.; Aguilar, A.; Cherif, M.; Al Jabri, H.; Sayadi, S.; Manning, S.R. Microalgal-based feed: promising alternative feedstocks for livestock and poultry production. Journal of Animal Science and Biotechnology 2021, 12, 76. [Google Scholar] [CrossRef]
  112. Ahmad, A.; Hassan, S.W.; Banat, F. An overview of microalgae biomass as a sustainable aquaculture feed ingredient: food security and circular economy. Bioengineered 2022, 13, 9521–9547. [Google Scholar] [CrossRef]
  113. Henchion, M.; Hayes, M.; Mullen, A.M.; Fenelon, M.; Tiwari, B. Future protein supply and demand: Strategies and factors influencing a sustainable equilibrium. Foods 2017, 6, 53. [Google Scholar] [CrossRef] [PubMed]
  114. Bele, V.; Rajagopal, R.; Goyette, B. Closed -loop bioeconomy opportunities through the integration of microalgae cultivation with anaerobic digestion: A critical review. Bioresource Technology Reports 2023, 21, 101336. [Google Scholar] [CrossRef]
  115. Rajagopal, R.; Mousavi, S.E.; Goyette, B.; Adhikary, S. Coupling of Microalgae Cultivation with Anaerobic Digestion of Poultry Wastes: Toward Sustainable Value Added Bioproducts. Bioengineering 2021, 8, 57. [Google Scholar] [CrossRef] [PubMed]
  116. Leena, M.C.; Hausrath, E.M.; Ming, D.W.; Adcock, C.T.; Raymond, J.; Remias, D.; Ruemmele, W.P. Investigating the Growth of Algae Under Low Atmospheric Pressures for Potential Food and Oxygen Production on Mars. Frontiers in Microbiology 2021, 12. [Google Scholar] [CrossRef]
Figure 1. Adapted scheme of the fast carbon cycle and related energy flows [10, 14]. Primary production (green lines), respiration and combustion (blue lines), carbon and fluxes derived from human activities since 1750 (red lines), energy flows and amounts (yellow lines and text).
Figure 1. Adapted scheme of the fast carbon cycle and related energy flows [10, 14]. Primary production (green lines), respiration and combustion (blue lines), carbon and fluxes derived from human activities since 1750 (red lines), energy flows and amounts (yellow lines and text).
Preprints 115751 g001
Figure 2. Comparative diagram between closed and open photobioreactors and the main differences in their implementation and running parameters.
Figure 2. Comparative diagram between closed and open photobioreactors and the main differences in their implementation and running parameters.
Preprints 115751 g002
Figure 3. Diagram of the main factors that delimit microalgae growth in a photobioreactor.
Figure 3. Diagram of the main factors that delimit microalgae growth in a photobioreactor.
Preprints 115751 g003
Figure 4. Approach summary diagram visualising the relationships between light intensity reaching the photobioreactor, the photosynthesis/irradiance curve, and the system's key parameters.
Figure 4. Approach summary diagram visualising the relationships between light intensity reaching the photobioreactor, the photosynthesis/irradiance curve, and the system's key parameters.
Preprints 115751 g004
Figure 5. Comparative scheme about the different strategies proposed for the control of temperature in photobioreactors.
Figure 5. Comparative scheme about the different strategies proposed for the control of temperature in photobioreactors.
Preprints 115751 g005
Figure 6. Relationships between photosynthesis and bicarbonate buffer in water systems. a) Evolution of carbonic species concerning pH values and optimal rage to biological fixation (red). b) Metabolic scheme of the different inputs of CO2 and energy into the Calvin cycle of microalgae and cyanobacteria.
Figure 6. Relationships between photosynthesis and bicarbonate buffer in water systems. a) Evolution of carbonic species concerning pH values and optimal rage to biological fixation (red). b) Metabolic scheme of the different inputs of CO2 and energy into the Calvin cycle of microalgae and cyanobacteria.
Preprints 115751 g006
Figure 7. Main differences between one-stage and two-stage growth systems.
Figure 7. Main differences between one-stage and two-stage growth systems.
Preprints 115751 g007
Figure 8. Simulation of the possible evolution of fossil fuel reserves (red line) and the atmospheric concentration of CO2 maintaining the annual consumption and emission rate increment (black line) throughout the next century. The pink, green, and blue dashed lines suggest the impact of several amounts of biological capture of atmospheric carbon on the CO2 accumulation.
Figure 8. Simulation of the possible evolution of fossil fuel reserves (red line) and the atmospheric concentration of CO2 maintaining the annual consumption and emission rate increment (black line) throughout the next century. The pink, green, and blue dashed lines suggest the impact of several amounts of biological capture of atmospheric carbon on the CO2 accumulation.
Preprints 115751 g008
Figure 9. A simplified design of a biological CO2 sink is depicted. 1) Controlled access to seawater, 2) Phytoplankton sink, 3) Facilities for biomass processing. Pipes to take and return culture and clean medium, respectively; 4) Dredging ships harvesting within the pond.
Figure 9. A simplified design of a biological CO2 sink is depicted. 1) Controlled access to seawater, 2) Phytoplankton sink, 3) Facilities for biomass processing. Pipes to take and return culture and clean medium, respectively; 4) Dredging ships harvesting within the pond.
Preprints 115751 g009
Table 1. Culture surface needed by major world powers to reach 7.5 GtC/year of biomass production since their emission rate (Adapted table [83]).
Table 1. Culture surface needed by major world powers to reach 7.5 GtC/year of biomass production since their emission rate (Adapted table [83]).
Country Emissions (Mt CO2/year) Total Surface (x106 Km2) Proportional culture surface (x103 Km2) % of Total surface
China 10,065 9.60 494.9 5.2
USA 5,416 9.83 266.3 2.7
India 2,654 3.29 130.5 4.0
Rusia 1,711 17.10 84.1 0.5
Japan 1,162 0.38 57.1 15.1
Germany 759 0.36 37.3 10.4
Iran 720 1.65 35.4 2.1
South Korea 659 0.10 32.4 32.4
Saudi Arabia 621 2.15 30.5 1.4
Indonesia 615 1.90 30.2 1.6
Canada 568 9.98 27.9 0.3
Mexico 477 1.97 23.5 1.2
South Africa 468 1.22 23.0 1.9
Brazil 457 8.52 22.5 0.3
Turkey 428 0.78 21.0 2.7
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2024 MDPI (Basel, Switzerland) unless otherwise stated