1. Introduction
In recent years, water pollution has been a pervasive issue worldwide and has posed a significant threat to both human health and the ecosystem [
1,
2]. Among different waterbodies and natural water resources, groundwater is one of the most important freshwater sources and is seriously threatened by anthropogenic activities, such as industrial and agricultural practices [
3]. Concerning groundwater pollution, inorganic (mainly heavy metals denoted as potentially toxic elements (PTEs)), and organic (
e.g., chlorinated hydrocarbons, (CHCs), polycyclic aromatic hydrocarbons (PAHs) and poly- and perfluoroalkyl substances (PFAS), dyes, nitro compounds, pesticides, etc.) contaminants can be recalcitrant under natural conditions [
4,
5]. Due to their chemical characteristics, these substances do not easily biodegrade. Hence, they have high persistence in the environment and are difficult to remove after subsurface penetration [
5]. Notably, according to their chemical nature, upon release, dense hydrophobic organic compounds tend to migrate downward and penetrate the water table (the so-called dense non-aqueous phase liquids (DNAPL)), causing extensive subsurface contamination [
6]. Therefore, it is necessary to develop effective groundwater remediation technologies which enable the cleanup of the contaminated site reducing pollution to a desirable and safe level
via sustainable, cost-effective, and eco-friendly methods [
7].
To date, lots of groundwater remediation technologies have been developed both
in-situ (treatment of the contaminated matrix in its location) and
ex-situ (removal of the contaminated matrix and subsequent treatment in a different location) [
8]. Depending on the mechanism underlying the contaminant removal or degradation, they can be classified into three main categories: chemical (
e.g., chemical reduction or oxidation), physical (
e.g., soil washing, stabilization/solidification, adsorption), and biological (
e.g., microbial remediation, biostimulation, bioaugmentation) [
8,
9]. Besides common
ex-situ treatments, such as pump-and-treat methods, thermal desorption, oxidation, and solvent extraction,
in-situ treatment technologies are potentially more sustainable from an economic and an environmental standpoint [
10]. Thus,
in-situ treatments represent preferable options, and, in this regard, absorption methods (physical capture) are gaining attention due to their operational simplicity, recyclability, high efficiency, and environmental friendliness [
11]. The most traditional
in-situ adsorption systems are Permeable Reactive Barriers (PRBs), constituted by a trench perpendicular to groundwater flow filled with inert and reactive material (
e.g., activated carbon) allowing the contaminant plume to pass through it while adsorbing contaminants [
12,
13]. Recently, new
in-situ adsorption processes have been developed based on injectable colloidal activated carbon (CAC) stabilized by humic acids and carboxymethylcellulose (CMC) [
14,
15]. This approach allows remediation at greater depths in that digging a trench at great depths (over 30 m) is significantly more complex than drilling [
16]. However, implementing CAC in
in-situ remediation approaches remains niche due to challenges in distributing the colloid effectively without clogging porous media. Proper suspension retention is by no means a simple task: too little retention may cause failure in achieving plume break, while too high retention may cause clogging issues that results groundwater bypass [
15]. Thus, besides activated carbons (ACs), a wide variety of sorbents have been used for groundwater remediation purposes, such as zeolites [
17,
18], organoclays [
19,
20], organo-hydrotalcites [
21], and graphene oxides [
22]. As a cheap and eco-friendly material, biochar (BC) is one of the most interesting alternatives to conventional absorbers. As with ACs, BC is a biomass derived C-rich material obtained
via pyrolysis or gasification of different feedstock, such as wood, agricultural waste, manure, and wastewater sludge. It is highly hydrophobic material characterized by reduced stability in water due to its particle size [
23]. Although, there is usually a fraction of the particle size distribution of BC that is fine enough to be considered as a colloid (particles with diameters smaller than a few tens of micrometers) [
24], and thus characterized by greater stability in water. However, this fraction is a minority: 1-20 mg/g [
25]. Biochar itself possesses a large specific surface area, high porosity, and thermal resistance, although its properties and sorption behavior depend not only on biomass feedstock but also on production temperature [
26,
27]. Several studies demonstrated that biochar could sorb a wide range of contaminants, ranging from organic compounds to metal and metalloids [
28,
29,
30,
31]. Nevertheless, the hydrophobic nature and reduced stability of colloidal biochar in the aqueous environment influence its retaining and adsorption capacity [
29]. Indeed, colloid retention by porous media is primarily controlled by straining processes [
32], which occurs when colloids are trapped by bottlenecks formed by collector particles [
33]. Despite extensive research over the past years, it remains a complex mechanism. A critical ratio between colloid diameter (d
p) and collector diameter (d
c) determines straining (these ratios vary between 0.027 [
34] and 0.0017 [
35]), although straining is also controlled by physicochemical factors such as ionic strength [
34] and fluid dynamics: increasing velocity reduces straining intensity by destabilizing colloids attached to secondary minimum straining sites [
36].
To improve stability, adsorption, and retention properties (
e.g., carbon structure, surface area, pore size) and widen potential applications for environmental remediation, several physical, mechanical, and chemical modification processes of biochar have been carried out in recent years [
37]. In this framework, BC shows intriguing properties as a superior filler in polymer and biopolymer-based composites [
29,
38,
39]. Concerning polymer matrices, BC has been used in several composite formulations in combination with polyolefins, such as polypropylene (PP), polyethylene (PE), polyethylene terephthalate (PET), polyamide, polyester, and thermosetting matrices (epoxy resin, unsaturated polyester resin, rubber), with significant enhancement of either mechanical or electrical properties even at low concentrations [
38]. Despite the improved properties, synthetic and petroleum-based polymers suffer from a lack of biodegradability. Thus, biopolymers such as polylactic acid (PLA), poly(3-hydroxybutyrate) (PHB), starch-based polymers, and biopolymers from algae biomass have the potential to be used as valuable flexible matrices to produce high-quality biochar composites and to establish a sustainable circular economy globally [
40,
41]. Nevertheless, biopolymer-based BC composites still require optimization to reach performances comparable to traditional active carbon materials and take advantage over the synergistic effects of biochar dispersed in polymers.
In this work, biochar powder (BC) derived from pine wood gasification at 950° were used as active carbonaceous material filler of polymer matrices. Specifically, four different BC samples were studied, based on different sieving and grinding processes, as described in
Table 1. On selected BC sample (AP sample), water-based BC@biopolymer composite materials were obtained combining raw BC with commercially available biopolymers, such as chitosan (CS), alginate (ALG), potato starch (PST), and carboxymethylcellulose (CMC) as host matrices. The aim was to (i) modify and enhance the surface and physical characteristics of the biochar, (ii) increase its stability in the aqueous environment
via dispersion in a hydrophilic matrix, and (iii) enhance diffusion properties in porous media, thus, broadening the contaminants which can be removed from the water. Different concentrations of biochar (0.3–1 g·L
−1) and biopolymers (0.2–20 g·L
−1) were tested, and a one-pot blending mode at different temperatures (from room temperature up to 80 °C, depending on polymer solubility) was used as a simple and straightforward strategy to obtain BC@biopolymer composites. To improve physicochemical properties of potato starch-based composite, an alkylpolyglucoside-based surfactant (APG2, a non-ionic surfactant) was added in a 0.1–5.0% v/v range. APG-based surfactant was chosen according to its eco-friendliness, nontoxicity, and biodegradability [
42]. Raw pine wood biochar (BC) and the as-prepared composite materials were characterized
via field-emission scanning electron microscopy (FE-SEM), N
2 adsorption/desorption measurements, and UV-Visible spectroscopy, whereas infrared (FT-IR) spectroscopy was used further to confirm the composite chemical structure and interaction among counterparts. BC@biopolymer materials were compared with pristine biochar in terms of stability and hydrodynamic size in water at their native pH.
The functional properties of optimized formulations were tested in breakthrough tests in a 140 × 25 mm sediment packed PMMA column to assess the capability of the composite to be delivered through a porous medium. Herein, different granulometry glass beads were used (600–800 µm) to determine transport properties, such as hydrodynamic dispersion and retention percentage in various aquifer configurations. Batch adsorption isotherms on trichloroethylene (TCE) as a model contaminant were carried out to confirm the adsorptive capacity of the BC-based composites, which has already been validated in the literature [
43]. TCE was selected as the contaminant of choice due to its importance in contamination scenarios [
44] and because it has been demonstrated (in previous studies) how the adsorption of TCE on BCs can promote the establishment of a beneficial biological reductive dechlorination process [
45]. The preparation of herein presented stable biopolymer-based biochar composites represents a promising low-cost, green, and effective sorbent in groundwater remediation strategies.
Table 1.
Biochar (BC) samples notation studied in this work. All samples were obtained at 950 °C.
Table 1.
Biochar (BC) samples notation studied in this work. All samples were obtained at 950 °C.
Sieving at 0.5 mm |
Sieving at 64 µm and grinding |
A |
AP |
B |
BP |
2. Materials and Methods
2.1. Pine Wood Biochar Production
Pine wood biochar (BC) was used to produce the composite material. The BC used is a waste product of a biomass energy production process implemented by Burkhardt Energy and Building Technology. The energy production involves the use of two machines in series: the first (V3.90) carries out the gasification of pine wood pellets at 950 °C, while the second (CHP ECO 220) produces thermal and electrical energy from the combustion of the previously produced syngas. The BC in question is, therefore, a by-product of the heat and power generation process that is usually disposed of as waste. Two replicated batches were used (A and B) and compared with the two samples obtained after sieving and grinding procedure (AP and BP), respectively (see
Table 1).
2.2. Preparation of BC@biopolymer Composites
For the synthesis of BC@biopolymer composites, biochar from pine wood and commercially available bio-based polymers (all Merck Sigma-Aldrich, Milan) were used: chitosan (CS), sodium alginate (ALG), potato starch (PST), and sodium carboxymethylcellulose (CMC). To optimize the composite formulation, biochar in the 0.3–1.0 g·L
−1 range were mixed with different concentration of biopolymers: 0.2, 5.0, 7.5, 10.0, 15.0, 20.0 g·L
−1. Pilot tests were conducted in a total volume of 10 mL, whereas the final formulations were scaled-up to 1.5 L and g·L
−1. of BC. In a typical procedure, the selected amount of polymer powder was mixed with BC and the solid mixture homogenized. 10 mL of ultra-pure water (H
2O
up, 18.3 MΩ·cm, produced with a Zeneer Power I Scholar-UV instrument, Full Tech Instruments, Italy) were added, and the mixture sonicated for 30 minutes. Then, to obtain the final composite the aqueous suspension was vigorously stirred at different experimental conditions depending on polymer solubility, as reported in
Table 2.
At the end, BC@PST composite was allowed to cool down to room temperature and 1.0% v/v of APG2 surfactant (Chimec, Italy) was added, whereas BC@CS, BC@ALG, and BC@CMC were synthesized in absence of further additives. The as-prepared final composites were used without further modification or purification. As a blank sample, pristine BC aqueous suspension (denoted as BC) and BC + 1.0% v/v APG2 aqueous solution (denoted as BC/APG2) in the 0.2–5.0% v/v range were prepared.
2.3. Sedimentation Tests
To investigate the stability over time of BC composites, sedimentation tests were performed as follows: the as-prepared BC@polymer composites (10 mL) were introduced in a glass vial and the suspensions were kept at quiescent state for 7 days without stirring. Then, a sample aliquot (1 mL) was taken from 1/3 of the total volume and diluted 1:3 v/v with H
2O
up prior to UV-Vis analysis. For the test, the biochar concentration was fixed at 0.3 g/L and the absorbance value at 650 nm at 0 h, 24 h, 7 days (Abs
t) was measured. The sedimentation percentage of BC inside the polymer matrix at different times was calculated using equation (1).
2.4. Adsorption Isotherms
Batch adsorption tests were carried out with TCE to verify the efficiency of the raw BC in immobilizing the chosen contaminant in an aquifer medium. The BC used in these tests was subjected to the same treatment as that used in the distribution tests (paragraph 2.5), i.e., sieving at 64 µm and manual grinding. For TCE adsorption tests, the 25 mg·L−1 solution was prepared in a 1 L Tedlar bag (Supelco, Bellefonte, PA, USA) to avoid headspace formation; a volume of 17 µL of pure TCE (ACS ≥ 99.5%, Sigma-Aldrich, St. Louis, MO, USA) was spiked to achieve the decided concentration. The solution was horizontally shaken for three days to reach complete solubilization of TCE. To verify the initial effective TCE concentration, the contaminated solution was sampled and analyzed before setting up the tests. The batch reactors (VWR International glass vials, Milan, Italy) were prepared by weighing a known amount of BC and fully filling with approximately 0.02 L of the contaminated solution. The reactor was sealed by a Teflon butyl stopper (Wheaton, Millville, NJ, USA) and an aluminum cap and mechanically shaken for 24 h. Five different loads of BC were placed in the borosilicate glass reactors: 10, 20, 30, 40, and 50 mg, then, the 25 mg·L−1 solution of TCE was added. Each load of BC was performed in triplicate to strengthen the data.
The experimental data obtained were subsequently analyzed using SigmaPlot 12.0 software and fitted with a Freundlich-type isotherm (Q
e, equation (2)) as it gave an optimal representation of the trend.
The Freundlich constants K
F and n were determined using SigmaPlot 12.0, while the equilibrium concentration C
eq in the liquid was carried out
via gas chromatographic analysis sampling the contaminated solution. The determination of the concentration of TCE adsorbed on the BC (defined as S, mg
TCE·g
BC−1) is calculated using equation (3):
where C
0 is the initial TCE concentration in the contaminated solution, V and m are the volume of solution and the mass of BC loaded in each reactor, respectively.
2.5. Continuous Flow Column Distribution Tests
Column transport tests were performed to verify the deliverability of the produced composites and their retention in the simulated aquifer. The columns used in these tests are made of PMMA and have dimensions of 14 × 2.5 cm. The columns were packed with 600–800 µm diameter glass beads to represent an aquifer consisting of medium sand. The columns were equipped with two sampling points: one for the inlet and one for the outlet.
The experimental setup involved the continuous feeding of the solution taken from a magnetically stirred beaker via a Gilson miniplus evolution peristaltic pump and then injected into the column in an up-flow configuration to avoid the formation of air pockets. The solution exiting the top of the column discharged in a Gilson Fraction Control 201-202 that was used to monitor the effluent leaving the column. The concentration of BC and BC-based composites in the effluent was monitored by measuring the turbidity of the suspension with a Shimadzu UV-1800 photometer at 650 nm. A calibration curve was performed for each test with a different batch of BC composite to ensure accurate quantification. The tests were carried out in two phases marked by a change of feed: (i) distribution of the BC suspension within the column and (ii) washing with water to verify the amount of BC retained by the column and thus, close the mass balance.
The amount of BC retained in the column was determined by the mass balance in equation 4.
where Q
i is the flow rate at i-th time (although designed as constant flow tests some fluctuated significantly), C
IN is the concentration of BC entering the column, C
iOUT is the concentration of BC leaving the column at i-th time, and m is the BC mass retained by the column. Prior to the BC distribution tests, a tracer test with 150 mg·L
−1 of Cl
− (supplied as NaCl) feeding solution was carried out to determine pore volume (PV), effective porosity (ε), and hydraulic retention time (θ). The effluent samples obtained by the aforementioned fraction collector were subsequently analyzed with a Dionex ICS-1000 IC ion chromatograph in the case of tracer tests and with a Shimadzu UV-1800 photometer at 650 nm in the case of BC distribution tests. Both tracer and distribution tests were carried out with flow rates of approximately 0.6 mL·min
−1 and apparent velocity of 0.3 cm·min
−1.
2.6. Characterization Techniques and Analytical Methods
Absorption spectra were recorded using a UV–Visible spectrophotometer Varian Cary100 instrument in a 200–800 nm wavelength region. Quartz cuvettes having a path length of 1 cm were used in all experiments.
Turbidity measurements on column effluent for BC composites distribution tests were carried out with a UV-Vis-NIR Shimadzu UV1800 photometer at 650 nm, with 1 cm cuvettes in polystyrene.
pH measurements were carried out using pH600 Eutech Instruments pHmeter calibrated with standard solutions (pH 4–10) before measurement.
Fourier transform infrared (FT-IR) spectroscopy in Attenuated Total Reflectance (ATR) mode was used to analyze the composition of the materials and assess potential interaction between counterparts. Measurements were done using a Bruker Vertex70 instrument over the wavenumber range of 4000–600 cm−1 with a resolution of 4 cm−1 and 32 scans. Samples were deposited as a solid directly onto the diamond-coated ATR crystal.
The specific surface area (Brunauer–Emmett–Teller, BET method in the 0-0.1 p/p° interval) [
46], total pore volume, micro-pore volume, and pore size distribution were determined by adsorption/desorption of N
2 at −196 °C (77 K) using a 3Flex 3500 MIcromeritics analyzer. 0.250 g of powder samples were pretreated at 250 °C for 24 h in an oven (ambient pressure) to remove excess of absorbed water (calculated as weight loss %), at 300 °C for 2 h, and at 350 °C for 1 h, under vacuum via thermally-controlled heating mantles, up to a residual pressure lower than 0.5 Pa. Pore size distribution was determined by the Barrett–Joyner–Halenda (BJH) method [
47] from the adsorption isotherm. Total pore volume was obtained by the rule of Gurvitsch [
48]. Micro-pore volume was obtained by the t-plot. The uncertainty was ± 5 m
2·g
−1 for the specific surface area values, ±0.005 cm
3·g
−1 for the total pore volume values.
The size as hydrodynamic diameter (<2RH>), size distribution (PDI) and ζ-potential were evaluated by dynamic light scattering (DLS) using a Malvern Nano-ZetaSizer apparatus, operating in backscattering mode (173°) and equipped with a 5 mW HeNe laser (λ = 632.8 nm). Both size and ζ-potential were measured at 25 °C using a minimum of ten replicates.
Surface morphology of the materials was investigated by Field-Emission Scanning Electron Microscopy (FESEM) on an Auriga Zeiss instrument. Samples were drop-casted onto a silicon stub from their aqueous suspension without any conductive coating and air-dried. The acceleration voltage was set at 1.5 kV. FESEM images were analyzed using ImageJ software.
Chloride analysis for the tracer tests was performed with a Dionex ICS-1000 IC ion chromatograph equipped with an electrical conductivity detector and Dionex AS-40 autosampler. The instrument is equipped with a Dionex IonPac AG14 pre-column (4 × 50 mm), a Dionex IonPac AS14 IC column and a Thermo Fisher Scientific AESR 500 4 mm suppressor. The eluent phase was prepared with 3.5 mM Na2CO3 and 1.0 mM NaHCO3 with 1.2 mL·min−1 as flow rate. The chloride calibration curve was realized from 5 to 160 mg·L−1 of Cl− (supplied as NaCl).
TCE concentration for isothermal curve determination was carried out with a DANI MASTER GC (DANI Instruments, Contone, Switzerland) gas chromatograph, equipped with DANI 86.50 headspace auto-sampler, TRB624 capillary column (30 m × 0.53 mm ID × 3 µm,) and a Flame Ionization Detector (FID) was used. The DANI 86.50 was set-up as follows: oven temperature 80 °C, manifold temperature 120 °C, transfer line temperature 180 °C, shaking softly for 1 min. The GC conditions were: N2 carrier gas (flow 10 mL·min−1), 180 °C injector temperature split injection 1:2; 200 °C detector temperature with air, N2 and H2 for the FID (flows 240, 25, 60 mL min−1). The oven temperature was programmed as follows: 60 °C for 3 min, 30 min to 120 °C, then 6 min at 120 °C. For the quantitative determination of TCE, a calibration curve was obtained by dilution of a TCE/ethanol stock solution in standards with concentration range 0.1–25 mg·L−1.
4. Conclusions
In this work, biochars (BCs) waste obtained from gasification at 950 °C of pine wood pellets for energy production were used as fillers in polymer matrices, to obtain BC@biopolymer composites for in-situ groundwater remediation. Four different biochar samples were studied, based on different sieving and grinding processes: A, B (sieving at 0.5 mm), and AP, BP (sieving 64 µm and manual grinding). Extensive morphostructural characterizations via UV-Visible and FT-IR spectroscopy, dynamic light scattering (DLS), and scanning electron microscopy (FESEM) were carried out on both BC and BC@polymer composites. Raw BCs showed typical graphite-based structure with little to no residual functional groups, as evidenced by FTIR and UV-Visible spectroscopy. In water suspension, the grinding process resulted in a more intense population centered at around 200 nm with the formation of larger aggregates above 1000 nm (AP, BP samples), with a sponge-like morphology of the surface and quasi-spherical pores. The micro-/mesoporous nature of BCs arose from BET and textural parameters analysis, with a reduction of the specific surface area of about 30% after grinding process. Based on the percentage of colloidal fraction, detected by DLS, AP sample was used to obtain water-based polymer composites with chitosan (CS), alginate (ALG), potato starch (PST), and sodium carboxymethylcellulose (CMC) as polymer matrices (0.2-20.0 g/L concentration range). According to pilot sedimentation tests, after 7 days BC@PST (BC 0.3 g/L, PST 20.0 g/L + APG2 surfactant 1.0% v/v) and BC@CMC (BC 0.3 g/L, CMC 10.0 and 20.0 g/L) resulted as the most stable suspensions with a sedimentation percentage of (14 ± 1)%, (31 ± 2)%, (27 ± 2)% for BC@PST, BC@CMC 10 g/L, and BC@CMC 20.0 g/L, respectively. Enhanced stability of the mentioned composites was ascribed to a combination of both hydrogen bonds and physical entrapment, as studied by FTIR. Final composites formulations were optimized increasing the BC concentration up to 1.0 g/L.
Before distribution tests on BC@PST and BC@CMC, adsorption performances of raw BCs were validated via adsorption isotherm using trichloroethylene (TCE) as model contaminant. Continuous flow column distribution tests on composites resulted in a clogging of porous media in the case of BC@PST and BC@CMC 20.0 g/L, probably due to a higher hydrodynamic diameter of composite particles in relation to the pore size of the media. Conversely, BC@CMC 10.0 g/L composite showed an optimized distribution behavior, with high retention (ca. 365 mg) and without column clogging. As a future perspective, continuous flow adsorption tests of TCE will be carried out. This study showed that biopolymer-based biochar composites can be used as a green and sustainable alternative solution to address various groundwater pollution challenges.