1. Introduction
Malaysia is among the world’s primary agricultural producers of palm oil with annual exports worth USD 7.5 billion [
1]. Palm oil is widely used in Malaysia, and the by-product of agriculture biomass that is generated has the potential to be valorized into value-added products such as renewable energy and biofeedstocks. Malaysia generates an average of 53 million m
3 of POME yearly [
1]. Palm oil mill effluent (POME) exists as an acidic substance with an unpleasant odor and high values of chemical oxygen demand (COD) (15,000–100,000 mg/L), biochemical oxygen demand (BOD) (10,250–43,750 mg/L), and total suspended solids (TSS) (5000–54,000). Other elements have also been reported, such as C 51.0%, O 35.3%, Na 0.0632%, Mg 1.09%, Al 0.215%, Si 0.552%, P 0.429%, S 0.553%, Cl 2.75%, K 6.77%, Ca 1.09%, Mn 0.0243%, Fe 0.141%, and Rb 0.0286% [
2]. Moreover, POME exists as a form of brownish liquid sludge that contains mostly water and a trace percentage of oils and suspended solids from the sources of fruit debris [
3]. Since POME contains a high concentration of nutrients, it will pose a eutrophication risk. Hence, the direct discharge of POME into the river will cause an unpleasant smell, water depletion, and aquatic pollution. Direct discharge on the land will cause clogging and inhibition of vegetation upon contact, thus necessitating sustainable and innovative POME treatment methods.
More than 85% of palm oil mills operating in Malaysia use ponding systems or a combination of digestive tanks and ponding systems for the treatment of POME [
4,
5]. However, this system produces approximately 28 m
3 of biogas per ton of POME, comprising approximately 64% methane (CH
4), 36% carbon dioxide (CO
2), and 670−2500 ppm hydrogen sulphide (H
2S) [
6]. The large uncontrolled proportion of CH
4 results from agricultural practices and the decay of organic wastes in waste landfills, and CO
2 contributes to the emission of greenhouse gases (GHGs). Therefore, the palm oil mill industries have the responsibility to reduce GHG emission. Additionally, the ponding process requires a long hydraulic retention time (HRT) of approximately 66–115 days and large land areas and thus needs to be further optimized through the use of other chemical or physicochemical methods [
7,
8]. Therefore, the aim of this study is to emphasize the use of biological treatment methods in order to increase the efficiency of contaminant removal using microalgae.
Microalgae cultivation is preferred by many researchers owing to its photosynthetic metabolism and effective ability to capture CO
2 approximately 10–50 times better than other terrestrial plants [
9,
10]. Thus, due to the remarkable ability to remove and assimilate contaminants, microalgae could possibly improve POME treatment and shorten HRT in conventional ponding treatment systems. Microalgae cultivation using POME to produce biomass and perform phycoremediation has been investigated and addressed in the past few years [
11]. Previous research studies have reported isolated microalgae species, namely
Chlamydomonas sp. UKM6 achieved a high specific growth rate of 1.353/day when grown in a medium of 12.5% (
v/
v) POME from the anaerobic pond, whereas the removal efficiency of total nitrogen (TN), ammoniacal nitrogen, and total phosphorus (TP) was 73%, 100%, and 64%, respectively [
11]. A few papers have reported CO
2 fixation rates via simulation [
12].
Due to the depletion of petroleum reserves and pollution from the emitted gases caused by fossil diesel use, lipid-rich biological materials have gained significant attention recently as they have the potential to produce biomass and biodiesel. Microalgae bring a lot of advantages to POME treatment due to their unique characteristics and show multifaceted roles in wastewater treatment [
13]. Many microalgae characteristics are suitable for the treatment of wastewater such as POME due to their high biomass yield and smaller land area requirements [
14]. Furthermore, the ability of microalgae to utilize emitted CO
2 for photosynthesis will offer a carbon neutral biofuel [
15]. In this context, POME has an extremely high content of degradable organic matter due to the presence of palm oil residue and other nutrients. Thus, it is able to support the growth of microbial organisms such as microalgae.
Microalgae can undergo photosynthesis with the nutrients and phosphorous in POME, thus contributing to renewable and sustainable fuel production in the form of gas, liquids, and solids. This approach can fix the problem of a high amount of CO
2 in the system by decreasing the CO
2 level in the system through a photosynthesis process involving the microalgae [
16]. For example, successful production of biomethane, biohydrogen, and bioethanol can be obtained via POME treatment using microalgae [
17]. Recently, POME treatment using microalgae to produce biofuel appears to be a highly competitive tool due to global energy security issues [
13]. Moreover, the high value of biofuel and bioactive compounds produced can be beneficial for the pharmaceutical and energy industries. However, the biomass content, lipid productivity, and fatty acid compositions of microalgae can affect the quality of biodiesel produced.
Chlorella is the most common microalgae that has been applied to the treatment of POME, which is of major interest for the production of biodiesel feedstock due to its ability to accumulate large amount of lipids or oil under stress [
18].
In this study, the biological treatment of POME with the use of microalgae not only aims to reduce contaminants, but also aims to achieve a high calorific energy value (CEV) biomass fuel, which is indicated by high carbon and hydrogen content [
19]. Current commercially available biomass fuel has a considerably low CEV of 15–20 MJ/kg in comparison to coal, with the gross CEV of coal being approximately 32 MJ/kg [
19]. Thus, in this study, it was expected that high CEVs would be achieved upon the utilization of POME as a biofeedstock during the cultivation process. Biological treatment of POME using various microalgae has demonstrated its effectiveness in terms of COD, BOD, and elemental reduction through the capability of microalgae to survive in acidic POME. Moreover, this biological treatment method provides a cost effective and sustainable solution, especially in terms of POME treatment. Unfortunately, there has been limited research on the two microalgae species of
Coccomyxa dispar and
Scenedesmus parvus concerning the production of biomass fuel through the phycoremediation of POME. Throughout this study, analysis was carried out to compare the effectiveness of both microalgae in terms of their utilization of POME and the potential production of biomass fuel as a sustainable and renewable energy source.
2. Materials and Methods
2.1. Palm Oil Mill Effluent Sampling
The POME utilized in this study derived from effluent before it had entered the treatment pond and was collected from a palm oil mill located in Pulau Pinang, Malaysia (geographical coordinates: 5°09′22.3″ N and 100°30′32.3″ E).
2.2. Microalgae Cultivation
In this study, two acidophilic species of microalgae (Coccomyxa dispar and Scenedesmus parvus) were used to investigate growth and the potential production of high-quality biomass fuel from the cultivation of POME, as well their effectiveness in terms of reducing contaminants associated BOD and COD. Both microalgae were cultivated separately in POME as biofeedstocks and subcultured to obtain a sufficient amount of stock solution for analysis at a larger working volume. To obtain a sufficient amount of microalgae stock solution for batch fermentation, activation for both species of microalgae was performed in Bold Basal Medium (BBM) with an approximate starting volume of 30 mL in each cell culture flask. The BBM consisted of 25 g/L sodium nitrate (NaNO3), 7.5 g/L magnesium sulphate heptahydrate (MgSO4.7H2O), 2.5 g/L sodium chloride (NaCl), 7.5 g/L dipotassium hydrogen phosphate (K2HPO4), 17.5 g/L potassium dihydrogen phosphate (KH2PO4), 2.5 g/L calcium chloride (CaCl2.2H2O), 8.82 g/L zinc sulphate (ZnSO4.7H2O), 1.44 g/L manganese chloride (MnCl2.4H2O), 0.71 g/L molybdenum trioxide (MoO3), 1.57 g/L copper sulphate pentahydrate (CuSO4.5H2O), 0.49 g/L cobalt (II) nitrate hexahydrate (Co(NO3)2.6H2O), 11.42 g/L boric acid (H3BO3), 50 g/L ethylenediaminetetraacetic acid (EDTA), 31 g/L potassium hydroxide (KOH), and 4.98 g/L iron (II) sulphate heptahydrate (FeSO4.7H2O). Both cultures were maintained in BBM in a controlled culture room at 30 ± 2 °C for 10–14 days before subsequent experiment and illuminated with light of a photon intensity of 20.99 μmol m−1 s−1, which was provided by a cool daylight tube that was operated using a photoperiod cycle of 12 h (12 h light: dark). During the first stage, a total volume of 200 mL of each microalgae species was utilized to study their growth profile. In the second stage, a total volume of 600 mL of each microalgae species was required for various forms of analysis. At each stage, the microalgae were standardized at an optical density (OD) of 680 nm at 1.0 with a spectrophotometer prior to 14 days of analysis, while the blank used consisted of BBM only. The microalgae were centrifuged at 4000 rpm for 10 min using 50 mL centrifuge tubes to increase cell concentration, and dilution with BBM was performed to decrease cell concentration.
2.3. Batch Fermentation of POME as a Biofeedstock
POME was used as the biofeedstock in batch cultivation using Schott bottles. For the first stage of the experiment, cultivation was performed under 20%, 40%, 60%, and 80% (v/v) concentrations of each species separately in a 100 mL solution containing POME, microalgae, BBM, and distilled water. For example, to prepare the 20% microalgae concentration, 20 mL of microalgae was inoculated into 20 mL of POME and 60 mL of distilled water. Batch cultivation was carried out at 26 ± 3 °C at a pH of 4.0 to 5.5 under fluorescent light of 6500 K (heterotrophic mode excluded) for 14 days. The optimum initial cell concentration that produced the highest microalgae growth was utilized in the next batch cultivation experiment under various autotrophic, heterotrophic, and mixotrophic conditions and was then subjected to subsequent analysis to determine biochemical oxygen demand (BOD), chemical oxygen demand (COD), calorific energy value (CEV), optical density (OD), and cell dry weight (CDW), as well as carbon, hydrogen, and nitrogen content. The autotrophic cultivation mode was provided through external light sources without the addition of POME and the heterotrophic mode required POME as a substrate without the need for external light sources, whereas the mixotrophic mode required both external light sources and POME to grow. Further investigation was conducted by increasing the working volume of the batch fermentation with the optimum cell concentration, and results were subjected to the above-mentioned analysis.
2.4. Determination of Optical Density for Growth Monitoring
Optical density (OD), also known as absorbance or turbidity, is frequently used as a rapid and non-destructive measurement of biomass in cultures of bacteria and other unicellular microorganisms. The amount of light absorbed by a suspension of cells can be directly related to cell mass or cell number [
20]. The blank used in analysis was prepared prior to the start of batch fermentation and consisted of BBM, POME, and distilled water. The OD (680 nm) of each different cell concentration of microalgae in the Schott bottles was analyzed at 24-h intervals for 14 consecutive days. The analysis was performed in triplicate for each concentration.
2.5. Determination of Cell Dry Weight
Cell dry weight (CDW) is the weight of the microalgae suspension after water removal. To determine the CDW of both microalgae species, standard curves were constructed based on the different volume ratios of microalgae and distilled water. The final volume of each solution was set to 10 mL. Each of the solutions was subjected to oven drying (Binder World FD056UL, Binder GmbH, Tuttlingen, Germany) to obtain the CDW after being analyzed with a spectrophotometer. The standard curve’s equation was used to determine the CDW of the microalgae in the batch cultivation using the obtained OD value. In this context, the OD value of microalgae obtained from direct measurement of the cultivated sample was subtracted from the OD value of the blank, and the resultant value was used for CDW calculation.
2.6. Determination of Calorific Energy Value
Calorific energy value (CEV) was determined using a bomb calorimeter (Parr
TM 6200, Fisher Scientific International Inc., Pittsburgh, PA, USA) at a constant pressure under normal conditions [
21]. CEV is an indicator of the efficiency of fuel, whereby a high CEV represents high-quality fuel. In the study of microalgae cultivation using POME as the biofeedstock, the CEV was determined on the initial day and final day of the experiment.
Approximately 100 mL of cultivated product was collected from conical flasks with different autotrophic, heterotrophic, and mixotrophic growth modes and transferred into a glass petri dish. The sample was dried inside a drying oven at 100 ± 1 °C overnight until a constant weight was observed. The samples were cooled to room temperature, sieved, packed, and sealed inside a small transparent plastic bag prior to CEV analysis. Approximately 0.5 g of dried sample was placed in the combustion vessel, which was then filled with 99.95% pure oxygen until the pressure reached 450 psig (3.0 ± 0.2 MPa). The combustion vessel was inserted into the combustion vessel bucket and ignited under the following conditions: pre-fire, 3 min; post-fire, 5 min; fuse wire length, 10 cm; bucket and jacket temperature between 13 and 33 °C.
2.7. Determination of Chemical Oxygen Demand
The chemical oxygen demand (COD) reagent was prepared by mixing two different solutions in a volumetric flask. The first solution was prepared by dissolving 18 g of silver sulphate in 800 mL of concentrated sulphuric acid in a 1 L volumetric flask. The second solution was prepared by dissolving 14.8 g of potassium dichromate in 100 mL of distilled water. The second solution was then poured slowly into the first solution. The flask was submerged in ice to prevent increases in temperature due to exothermic reactions. The mixture was then cooled to room temperature and stabilized for two days prior to use.
A total volume of 0.1 mL of treated POME sample from each growth mode was transferred into a small beaker under sterile conditions. Each sample was diluted with 9.9 mL of sterile deionized water. Subsequently, 2 mL of the diluted sample was filtered into the COD digestion test tubes containing 3 mL of COD reagent using a 0.22 µm nylon membrane filter. The sample was then placed inside a block heater (that had been preheated for 15 min to reach a temperature of 150 °C) for 2 h. The digestion test tubes were then cooled to room temperature prior to the measurement of COD values. COD values are expressed as mg/L and were measured using a spectrophotometer (HACH DR 2800
TM, Loveland, CO, USA). COD was measured for its removal efficiency (%) by use of the following equation [
22]:
whereby COD
i is the initial COD value and COD
f is the final COD value.
2.8. Determination of Biochemical Oxygen Demand
The level of dissolved oxygen (DO) was measured throughout the 14 days of cultivation. A total of 5 mL of sample from each growth mode was diluted with 495 mL of bubbled deionized water to make a total volume of 500 mL. The initial dissolved oxygen concentration (mg/L) was measured using a DO meter (HANNA HI 198193, Hanna Instruments, Woonsocket, RI, USA) prior to being transferred into BOD bottles. All bottles were placed inside a dark incubator at 24 ± 1 °C for five days before the final DO concentration (mg/L) was measured. To obtain removal efficiency for the BOD measurement, the final DO reading was subtracted from the initial DO reading. The equation below shows the formula used to calculate removal efficiency for BOD values.
2.9. Carbon, Hydrogen, and Nitrogen Analysis
Carbon, hydrogen, and nitrogen analysis was carried out to quantify elemental composition in the treated POME samples from heterotrophic and mixotrophic growth modes at day 1 and day 14. The analysis was conducted using a CHN Elemental Analyzer (Perkin Elmer 2400 Series II, Waltham, MA, USA). Approximately 1.5 mg of the dried sample was placed inside the instrument, with helium gas pressure set at 20 psi, oxygen pressure set at 20 psi, and compressed air set at 60 psi. Acetanilide was used as the standard sample in this experiment [
22,
23].
2.10. Oil Residue Extraction
The standard soxhlet extraction method was used to analyze oil content. Oil extraction of the dried sample was conducted to determine the amount of oil residue remaining on the initial and final day of cultivation. The1 g dried samples were weighed and transferred into a cellulose thimble with dimensions of 22 × 80 mm. The process of oil extraction requires approximately 2–3 h and the use of
n-hexane as an extraction solvent, which was performed at a boiling point of 60 °C. The sample was then dried in an oven at 115 °C to completely evaporate the solvent until a constant weight was obtained. Upon drying, the extracted oil inside the round bottom flask was put inside a desiccator and cooled at room temperature. The percentage of oil recovered from the dried samples was calculated by the following equation:
2.11. Statistical Analysis
Statistical analysis was performed using SPSS version 27. One-way ANOVA was performed to determine the statistically significant difference between the mean values for CDW, COD, and BOD for the three growth modes. The threshold for statistically significant results was p < 0.05.
4. Conclusions
S. parvus and C. dispar showed their effectiveness in terms of the treatment of POME and potential simultaneous production of biomass fuel. At the initial stage, the selected optimum dilution factor for cell concentration was 20%. Overall, mixotrophy was the most effective growth mode and positively impacted microalgae biomass growth in POME. Based on the optimum microalgae concentration, the CDW from cultivation of S. parvus in POME was 228.8 mg/L under mixotrophic growth, which demonstrated better performance than the heterotrophic and autotrophic modes. The highest CDW from cultivation of C. dispar in POME was 49.92 mg/L. S. parvus removed a significant amount of BOD, COD, and oil and grease in the mixotrophic mode, with respective values of 19%, 66%, and 27% observed. Meanwhile, C. dispar achieved 14%, 53%, and 13% removal efficiency of BOD, COD, and oil and grease in the mixotrophic mode. The highest C and H content at day 14 was achieved in the mixotrophic mode of cultivation with S. parvus, with respective values of 63.45% and 11.16% observed. The highest CEV was 32.30 MJ/kg, which was observed in S. parvus cultivated in POME. S. parvus performed better than C. dispar in terms of potential biomass fuel production and exhibited a high CEV, even though both microalgae were shown to be capable of helping reduce the amount of organic pollutants in POME. In this context, the mixotrophic mode was shown to be more promising for POME treatment than the heterotrophic and autotrophic modes. As there is still an inadequate amount of information regarding performance when using S. parvus and C. dispar to treat POME, further research is required to evaluate these microalgae in terms of their applicability at a larger industrial scale. The phycoremediation of POME by S. parvus is beneficial and has the potential to partially replace the conventional method of ponding treatment due to its ease of cultivation and the remarkable innovation it may present in the production of biomass fuel.