1.0. Introduction
Crude oil is an important natural resource for energy generation and for producing raw materials for industry. The 2% average per annual increase in global oil consumption (million tonnes) between 1965 and 2020 attests to how relevant oil remains to the world [
1]. Nonetheless, petroleum/crude oil’s leakage and accidental release into the environment frequently occurs in the course of the exploration, refining, transportation, and storage of petroleum/crude oil and its derived products [
2]. Soil pollution by petroleum hydrocarbon is a common problem in many countries [3, 4]. For example, between 2006 and June 2022 in Nigeria, 4,102 crude and refined oil spills on land were reported in the country’s oil spill monitor [
4]. Diesel is a product of crude oil, which is a frequent progenitor for petroleum hydrocarbon pollution in the environment [
5]. Acute and chronic effects on humans and plants occur after exposure to diesel oil [
6]. For example, Bona, Rezende, Santos and Souza [
7] reported that the seedling growth of
Schinus terebinthifolius was significantly affected by exposure to diesel.
Remediation of crude oil-contaminated soils is necessary due to the detrimental effects of exposure to this contaminant [
8]. Although several remediation techniques are available for oil/petroleum hydrocarbon-impacted environments [
9], remediation of contaminated soil remains a concern. This is owing to the shortcomings associated with existing remediation techniques. For example, thermal desorption is expensive and prone to secondary pollution [
10]. Recently, biochar has gained relevance in the remediation of hydrocarbon-contaminated soil. Biochar is a carbon-based product obtained from biomass’s thermochemical decomposition, including waste materials in an oxygen-limited environment [
11]. The application of biochar to contaminated soil has been shown to enhance hydrocarbon removal by up to 2.1-fold [12-14]. For example, Aziz, Ali, Farooq, Jamal, Liu, He, Guo, Urynowicz and Huang [
12] showed that adding sludge-derived biochar led to a minimum 101% higher removal compared to the control treatment. Biodegradation is one of the ways through which biochar is thought to accelerate the remediation of hydrocarbon-contaminated soil [
12]. Biodegradation of organic contaminants is facilitated by microbial communities. It is possible that the contaminated soil may not have the right autochthonous hydrocarbon-degrading microbial community [
15]. The above scenario could impede the biodegradation effect of biochar on hydrocarbon removal. The co-application of biochar with bioaugmentation, including microbes, has been advocated in the remediation of petroleum hydrocarbon-contaminated soil [
16]. Bioaugmentation can involve the use of autochthonous, allochthonous, or genetically engineered microbes [
17], with the autochthonous form being the cheapest and least stressful to use from a regulatory and commercial perspective. Evidence in published literature confirms that biochar’s co-application with bioaugmentation (microbe) leads to increased hydrocarbon removal relative to biochar treatment on its own [18-21].
The co-application of biochar with microbes has been conducted using immobilised, free-living, or other associations [18, 19, 22]. Compared to free-living co-application, the immobilised form is more effective in remediating hydrocarbon-contaminated soil [23, 24]. This is likely because the advantage derived from the immobilisation of bacteria to biochar may not be realised with free-living bacterial addition [
16]. Despite attempts to study the effect of bacteria-immobilised biochar (BIB) on the remediation of petroleum hydrocarbon-contaminated soil [18, 20, 24-27], there is a lack of knowledge regarding the role of BIB in the remediation of diesel-contaminated soil when biochar is produced from biosolids. Using biosolids-derived biochar in bacterial immobilisation offers an alternative approach to managing problematic waste. The rapid rise in the amount of biosolids generated makes biosolids management in a sustainable way a major problem for our contemporary world [
28].
Considering that the effect of bacteria immobilised biochar (BIB) on hydrocarbon removal has been examined in the absence [18, 20, 21, 25] and presence [23, 24] of supplementary nitrogen and phosphate, it is important to see if fertiliser addition would be beneficial for BIB in the remediation of diesel-contaminated soil when biosolids-derived biochar is used for bacteria immobilisation. Since the goal of adding nutrients to hydrocarbon-contaminated soils is to compensate for the alteration in the carbon-to-nitrogen (C/N) ratio induced by the hydrocarbon, a soil with a high C/N ratio (27) was used for this study.
The functional group or chemical structure can be used to group petroleum hydrocarbons [
29]. The RemScan technology, an alternative to gas chromatography / mass spectrometry (GC/MS) analysis with benefits in terms of cost and speed, provides an idea of the concentration of the total C
10–C
40 present in the soil [30, 31]. However, it does not give an idea of the changes in the functional groups or chemical structure of the hydrocarbon with time or treatments. With the integration of Fourier transform infrared (FTIR) spectroscopy in remediation, it is possible to decipher changes in the functional groups or chemical structure. Fourier transform infrared spectroscopy has been widely applied to study changes in functional groups of contaminants and can be rapidly used to characterise different functional groups, including the aliphatic and aromatic [
29]. This understanding can offer insight into the influence of time and treatment on hydrocarbon fraction. Therefore, the RemScan was used to study the TPH in this study, while FTIR was deployed for the assessment of functional groups.
This study examines the effect of bacteria immobilised biochar (BIB) on the remediation of diesel-contaminated soil. The specific objectives were to: (i) isolate bacteria from hydrocarbon-contaminated soil and compare their hydrocarbon degradation efficiency; (ii) evaluate the effect of bacteria immobilised biochar on the remediation of diesel-contaminated soil; (iii) assess the role of fertiliser on the efficacy of bacteria immobilised biochar on hydrocarbon removal; (iv) assess the abundance of gene related to Ochrobactrum sp. (OCB) and encoding for the total bacterial population (16S rRNA); and (v) assess the degradation of the diesel using FTIR spectroscopy.
2.0. Materials and Methods
2.1. Soil and Biochar
Pristine soil was obtained from Whittlesea, Melbourne, Victoria, and had a pH of 7.6, total carbon of 2.23%, total nitrogen of 0.22%, and total phosphorus content of 313 mg/kg [
32]. The diesel-contaminated soil used for bacteria isolation was from a previous study using the same soil as the current study, only amended with biochar and sodium azide (unpublished) (BN).
The biochar used was produced from biosolids obtained from the Mount Martha Wastewater treatment plant operated by South East Water Corporation, Melbourne, Australia. Before pyrolysis, the biosolids were dried in the incubator for over 18 h and transferred into a crucible and pyrolysed in a muffle furnace at 900 °C for 3 h at a heating rate of 10 oC/min. The produced biochar was passed through a 1 mm mesh. The biochar had a volatile matter of 3.15 ± 0.21%, fixed carbon of 20.18 ± 5.26%, and ash content of 76.26 ± 4.79%.
2.2. Isolation of bacteria from diesel-contaminated soil
Bacteria were isolated from soil BN as mentioned in Section 2.1. The methods previously described in the literature with modifications were used for bacterial immobilisation [18, 33, 34]. Briefly, soil (2.5 g) was added to minimal salt media (MSM, KH2PO4 15 g/l, NaCl 2.5 g/l, Na2HPO4 33.9 g/l, and NH4Cl 5 g/l, 25 ml) with diesel at a concentration of 10 ml/l and incubated for 7 days at 30 oC at 150 rpm for the first cycle. Following incubation, an aliquot (2.5 ml) from the previous cycle of incubation was transferred to fresh MSM (22.5 ml) with a higher diesel concentration and incubated at 30 oC at 150 rpm for 5 d. This was repeated three times, with an increment of the diesel concentration at each cycle. The range of concentration of diesel in the fresh MSM culture after the first cycle was around 200 – 800 ml/l, with the concentration of the diesel increased at each cycle.
From the final MSM culture, serial dilution of the culture was performed, and an aliquot (100 μl) spread on Lueri Bertani (LB) agar. Plates were incubated at 30 oC for 7 d. Colonies were streaked onto LB agar plates and isolates purified. Three distinct colonies were isolated after a series of isolation, namely, isolates A, B, and C.
2.3. Identification of bacteria isolates
The three (3) bacteria isolates were identified using Matrix assisted laser desorption ionisation time of flight mass spectrometry (MALDI-TOF MS). This method of bacterial identification involves mass spectrometry and was carried out in a MALDI-TOF MS device (Bruker Microflex LT, Germany) and Flex Control software [
35]. Briefly, a toothpick was used to pick bacterial samples from a culture plate to a spot on the target plate. The bacterium was smeared on the spot on the target plate. This was followed by adding 70% formic acid (1 μl), mixing thoroughly with a toothpick, and letting it dry completely. An aliquot (1 μl) of the matrix was later added to the dry sample and left to dry. The target plate containing the dried sample was placed on the dock of the equipment and was read.
Further identification was carried out for Isolate C using 16S rRNA Sanger sequencing. Colonies of the bacteria isolates were suspended in PrepMan buffer (100 μl) and was sent to the Australian Genome Research Facility Ltd. (AGRF) in Melbourne, VIC, Australia, for Sanger sequencing.
2.4. Assessment of the efficacy of bacterial isolates to remediate diesel-contaminated soil
The three isolated bacteria (A, B, and C) were examined for their hydrocarbon-degrading efficiency by introducing them individually to a diesel-contaminated soil, with a total petroleum hydrocarbon (TPH) concentration of 32,400 ± 937 mg/kg. For each of the bacterial isolates, colonies from the streak plate were cultured in LB broth for 19 h at 150 rpm and 30 oC to attain an optical density at 600 nm of 0.8 - 2. To ensure that an equal optical density at 600 nm of 1.09 was used for the three bacteria, the volume was normalised. The cells were washed in 0.9% NaCl and resuspended in 0.9% NaCl after washing. An equal volume of bacterium suspension A, B, and C was added to separate pots containing diesel-contaminated soil, in triplicate. A control treatment was included, and all pots were incubated at room temperature in the laboratory, with sampling on days 7, 14, and 37 to determine the hydrocarbon concentration.
2.5. Bacterial immobilisation on biochar
The bacterium exhibiting the greatest efficacy from the preliminary experiment in
Section 2.4 was chosen for immobilisation on biochar (isolate C). The bacteria were streaked on an LB agar and incubated at 30
oC for at least 24 h. Distinct colonies were transferred to LB broth and cultured at 30
oC with shaking (150 rpm) for 19 h. The bacteria were centrifuged at 5,000 rpm for 10 min, then rinsed with 0.9% NaCl three to four times. The bacterial pellets were resuspended in sterile 0.9% NaCl. A heterotrophic bacteria count was assessed by dilution on LB agar incubated for more than 24 h at 30
oC. The heterotrophic bacterial count after culturing was 6.5*10
9 ± 1.4*10
8 CFU/ml.
A 1:5 (w/v) ratio was used to immobilise the bacterium to the biochar [
20]. Biochar (6 g) and bacterial suspension (30 ml) were transferred to a 50 ml centrifuge tube incubated for 24 h at 30 °C and 150 rpm. The mixture was centrifuged at 1,000 rpm for 20 min, followed by another 5 min centrifugation at 1,000 rpm. The resultant pellet was washed with 0.9% NaCl three times and centrifuged at 1,000 rpm for 20 min. The immobilised biochar was dried in a biosafety cabinet for 6 d at room temperature, followed by drying at 30
oC for 4 d in the same cabinet.
2.6. Bioremediation mesocosm experiment
Pristine soil (sieved using a 4 mm sieve) was contaminated with diesel at 6.4% (v/w). The soil was mixed and left in the fume hood for 24 h. The soil was mixed, and 180 g dispensed into 30 glass containers, then placed inside a plastic mesocosm of equal diameter. The appropriate treatments were added to different mesocosms in triplicate, as described in
Table 1. For the bacteria only treatment, bacteria (45 ml) were centrifuged and resuspended in 5 ml of 0.9% NaCl. For all other treatments, NaCl (5 ml, 0.9 %) was added to the mesocosms. Water (1.5 – 4.2 ml) was added at least once every two weeks for the first 5 weeks. From week 6, the moisture content was regulated to 11 – 18% once every week by adding water when necessary. The soil was mixed at least once every week and sampled at weeks 3, 6, 10, 14, 18 and 22.
2.7. Total petroleum hydrocarbon (TPH) analysis
The TPH concentration was assessed using RemScan Technology (Ziltek, South Australia, Australia) [
31]. The device utilises a diffuse reflectance (mid)-infrared Fourier transform (DRIFT) spectrometer for assessment of TPH [
31]. The amount of soil sampled for RemScan analysis was >20n g. Before the measurement of TPH, the soil samples were air-dried for 24 h in the fume hood, ground in most cases (except week 0 and 3) and passed through a 2 mm sieve.
2.8. Molecular microbiological analysis
2.8.1. Isolation of DNA from soil and bacteria samples
DNA was isolated from the soil, bacteria, biochar, and bacteria immobilised biochar samples using the Power Soil Kit (Qiagen, Hilden, Germany). For the bacteria isolate, a sterile loop was used to take some of the bacterial isolates and transfer them to the power beads tube. A sample weight of 0.25 g was used for the soil, biochar, and bacterial immobilised biochar. The DNA extraction was conducted using the manufacturer’s instructions.
2.8.2. Quantitative PCR (qPCR) analysis
Real-time PCR was carried out to quantity the 16S rRNA encoding for the total bacteria population (16S rRNA) and that related to Ochrobactrum (OCB) using a Qiagen Rotor Gene machine (Qiagen, Maryland, USA). A 20 μl reaction was used for amplification of the two genes assessed, which comprised of 0.4 μl forward primer (10 pmol/μl), 0.4 μl reverse primer (10 pmol/μl), 8.2 μl nuclease free water, 10 μl Kapa SYBR Fast qPCR master mix, and 1 μl DNA sample [
36]. The primers used for the 16S rRNA were 341-F (5′CCT ACGGGAGGCAGCAG3′) and 518-R (5′ATTACCGCGGCTGCTGG3′) [
37], while 5′CTACCAAGGCGACGATCCAT3′ and 5′ GGGGCTTCTTCTCCGGTTAC3′ were used for the OCB gene as forward and reverse primers, respectively. The primer for the OCB gene was obtained from the National Centre for Biotechnology Information website, with ascension number (DM110786.1). Before use of this primer, PCR, and gel electrophoresis was carried out using the bacteria DNA. Details are provided in Text S1.
Both genes were amplified using the same cycling conditions. The conditions: (i) initial denaturation step at 95 °C for 5 min; (ii) 40 cycles at 95 °C denaturation for 10 s; (iii) annealing at 55 °C for 30 s; (iv) 72 °C extension for 30 s; and (v) 80 °C primer dimer removal and signal acquisition (10 s) [
38]. A standard curve for each gene was created using serial dilutions of the cleaned PCR products of the gene [
38]. A plot of the cycle threshold (CT) values from the serial dilutions versus the log of their original copy number was prepared, and then a standard curve was produced using linear regression [
36]. To calculate the copies of each gene, the CT value was correlated with the standard curve of the gene of interest and reported as log
10 gene copy number/g dry soil [
39].
2.10. Fourier transform infrared (FTIR) analysis of the soil
For FTIR analysis, soil samples were dried for at least 12 h in the fume hood. FTIR (OMNI spectra) identified functional groups of soils by scanning 400-4000 cm-1 with 32 scanning times at 4 resolutions. The spectra were reported in an absorbance mode. The sample used for FTIR analysis were both ground and sieved (2 mm sieve) soil.
2.11. Statistical and kinetic analysis
All soil analyses were carried out in replicates. Results were expressed as the mean of the replicates and the standard deviation. One-way analysis of variance (ANOVA), was used to assess the statistical difference at p<0.05 using Minitab software (Minitab, Pennsylvania, USA). Microsoft Excel (Microsoft, Washington, USA) was used to plot the kinetic curves of the different treatments.
First-order kinetics was used for the kinetics of bioremediation in this study [
40]. The equation of the first-order kinetics is as follows:
where C
t is the concentration of the contaminant at the time t (mg/kg), k is the first-order kinetic constant (day
-1), C
0 is the concentration at the beginning (mg/kg), and t is the time (day) [
40]. The half-life (DT
50) of biodegradation was calculated using (2):
where represents the rate constant (day
-1) [
41].