Abstract
Introduction
Economic development globally has resulted in an extensive consumption of fossil fuels, leading to higher carbon dioxide emissions into the environment. The higher carbon dioxide release effects on the infrared rays have resulted in greenhouse challenges (Damyanova and Beschkov, 2020). These challenges have necessitated several research efforts to produce sustainable and green energy to minimize the environmental problem due to the consumption of fossil fuels. Renewable biofuels from organic wastes have been discovered as energy sources that can substitute fossil fuels and lower greenhouse gas emissions. Biogas produced from anaerobic digestion of various organic wastes is one biofuel that can potentially replace these fuels with high carbon content (Ogunkunle et al., 2018). An anaerobic digestion’s main benefits include combined energy and environmental effect. Digestate from anaerobic digestion can serve as a source of organic manure in agriculture (Maroušek et al., 2022). The process remains an effective and valuable technology for converting biodegradable wastes into energy. Although the anaerobic digestion process is an effective waste-to-energy approach, it is time-consuming due to the nature of the feedstocks (Olatunji et al., 2022c). The microbial present in the process may prefer particular feedstock composition over others (Yue et al., 2010). Due to the recalcitrance nature of some feedstock, there are losses of carbon content that are expected to be converted to biogas (Saini et al., 2015).
The principal feedstocks for anaerobic digestion are waste from agricultural activities (crop residues, animal wastes, etc.), activated sludge, waste from the food industry, landfill gas, stillage from ethanol production, etc. (Cesaro and Belgiorno, 2015; Ogunkunle et al., 2019). Biomass is the fourth largest global primary energy source contributing about 14%, and it can be as higher as 35% in developing countries (Khanal et al., 2019). Agricultural biomass has been reported to have a higher potential for energy generation (Surendra et al., 2014). Reports have shown that countries such as China, Germany, Brazil, etc., utilize anaerobic digestion technology to produce energy from organic wastes. In contrast, many African countries still depend on traditional means of biomass usage, thereby hindering the capacity of energy that can be recovered from the vast amount of organic wastes available (Tagne et al., 2021). Using these residues as feedstock for energy production will lower the cost of waste management and energy cost (Škapa and Vochozka, 2019).
The majority of the residues from agricultural activities are lignocellulosic, and they are the most available renewable feedstock on earth. The principal components of lignocellulose are cellulose, hemicellulose and lignin, which are firmly attached (Kumar and Sharma, 2017). Anaerobic digestion of lignocellulose materials involves biological and chemical processes; this includes breaking down bigger organic polymers that form the biomass into smaller molecules with the catalytic activities of microbes and chemicals. In biogas and methane production, four stages of anaerobic digestion are required: hydrolysis, acidogenesis, acetogenesis and methanogenesis (Raja and Wazir, 2017). It is vital to note that some lignocellulose feedstock is not easy to degrade and accessible to bacteria during the hydrolysis stage because of their complex structures (Lin et al., 2010).
The hydrolysis stage has been recorded to hinder the anaerobic digestion process of lignocellulose due to their recalcitrant structure (Taherzadeh and Karimi, 2008). The research has shown that the methanogenesis stage can also be a rate-limiting step dependent on the proportion of hydrolytic to methanogenic microbes (Luo et al., 2012). Because of the degree of importance of the hydrolysis stage in the kinetics of anaerobic digestion, special attention has been given to techniques that can expedite the hydrolysis stage during anaerobic digestion. Different pretreatment methods are being investigated and applied to influence the hydrolysis stage, particularly feedstock with high resistance to enzymatic attack (Kumar and Sharma, 2017). Pretreatment techniques are mainly involved in efficient dissociation of the complexly interlinked portions and improving the availability of the different components. The main hurdle in the pretreatment process is eliminating sturdy and rugged lignin content that hinders their solubilization, and restraint hydrolysis of cellulose and hemicellulose. But the release of inhibitory products during pretreatment and feedstock particle size also limits the digestion of lignocellulose feedstock (Kumar and Sharma, 2017). The most popular pretreatment techniques include biological, chemical, thermal, mechanical/physical and combined pretreatment techniques. It has been reported that pretreating all feedstock with a single approach is not realistic because various lignocellulose materials were said to have different reactions to the pretreatment method or are uneconomically viable. The appropriate method can be selected based on the available feedstocks and techniques, but the process must be adequate, economical and suits the expected yields (Olatunji et al., 2021). The choice of pretreatment techniques devolves mainly on feedstock, application and cost.
The interdisciplinary investigation in nano-science and technology has recently received more attention globally. It has been discovered that nanomaterials can revolutionize the structural component of materials and products, and enhance their availability. Investigations have shown that some nanoparticles can absorb and/or react with cell membranes and rupture them. Nanoparticles interfered with the substrate microbial homeostasis attached and improve the microbial species robustness and community diversity (Zhou et al., 2021). Nanoparticles of metal origin could aggregate and create a serious decrease in the size of the feedstocks (Zhou et al., 2019b). Nanomaterials can enhance the efficiency of blocked enzymes since they supply sufficient surface area for the enzyme affixation, which increases enzyme attachment per unit mass of particles (Grewal et al., 2017). It was noticed that nanoparticles bonded with acetic acid were produced during the anaerobic digestion process mainly by the van der Waals force (Zhou et al., 2019a). The addition of nanoparticles can improve the nutritional content of fermentation residues which can be used for fertilization purposes (Maroušek and Gavurová, 2022). The commercial application of nanoparticles in consumer and industrial production processes has raised anxieties concerning their possible effects on the environment. Consequently, the influence of different nanoparticles (Fe2O3, MgO, Ag, nano zero-valent iron, etc,) on the anaerobic digestion of lignocellulose feedstock needs special attention.
The recent knowledge about direct interspecies electron transfer (DIET) in methanogenic environments has been reported as a result of electric syntrophy between exo-electrogenic
Effect of nanoparticles pretreatment on biogas and methane yields.
Materials and methods
Materials
Sample analysis
The cellulose, hemicellulose, lignin, total solids, volatile solids, ash content and other elemental composition of the substrate and inoculum were analysed following the Association of Official Analytical Chemist (AOAC) methods (AOAC Official Methods of Analysis, 21st Edition (2019)), and the result is as shown in Table 2.
Physicochemical composition of the substrate and inoculum.
NA: not applicable.
Experimental design
The laboratory-batch experiment was performed with a 1-L bio-reactor in batch mode. The effect of combined treatment of particle size and nanoparticle pretreatment on biogas yields of
Mechanical and nanoparticle pretreatment of the substrate.
Experimental setup
A laboratory batch anaerobic digestion process was set up to investigate the influence of pretreatment techniques on biogas and the methane yield of
Statistical analysis
The focus of the statistical analysis was to determine the influence of the pretreatment methods on biogas and methane yields. Hence, the experiment was replicated twice for statistical analysis purposes, and the result was analysed using Statistical Package for the Social Sciences (SPSS 21.0 version), and the means were sorted out with Duncan Multiple Range Test at a significance level of
Results
Effects of pretreatment on biogas and methane production
The daily and cumulative biogas yields from the pretreated and untreated substrates are illustrated in Figure 2(a) and (b), respectively. All the pretreatments were noticed to enhance the biogas production start-up and lower the retention time of the digestion process. The optimum biogas start-up yield from treatment A was 295 mL biogas on average within the first 5 days of retention time. Treatments B, C, D, E and F produced 277.5, 225, 205, 166 and 86 mL, respectively, within the same retention period. Compared with the control (F), there are 243%, 222.6%, 161.6%, 138.4% and 93% increments for treatments A, B, C, D and E, respectively, in the first 5 days. In addition, the optimum daily biogas yield was recorded from treatment B, which produced about 101.5 mL of biogas from day 5 of the retention period. At the same time, the single pretreatment method (E) yielded an optimum daily yield of 75 mL 9 days later (day 14). At the same time, the optimum daily yield of 60 mL was also recorded on day 14 of the retention period (Figure 1(a)). Moreover, the total biogas yield from all the pretreatments showed that the combination of Fe3O4 with 6 mm (C) produced the highest biogas yield through 35 days of retention time and was 1289.5 mL biogas compared with other treatments and 54% higher than the control. Cumulatively, treatments A, B, C, D and E were significantly different to each other (

(a) Daily biogas yield from pretreated substrate and control. A: 2 mm particle size + 20 mg Fe3O4; B: 4 mm particle size + 20 mg Fe3O4; C: 6 mm particle size + 20 mg Fe3O4; E: 20 mg Fe3O4 and F: untreated. (b) Cumulative biogas yield from pretreated substrate and control. A: 2 mm particle size + 20 mg Fe3O4; B: 4 mm particle size + 20 mg Fe3O4; C: 6 mm particle size + 20 mg Fe3O4; E: 20 mg Fe3O4 and F: untreated.
The optimum daily methane yield was recorded from treatment B (76 mL) at 5 days of retention period. It can be inferred from the results that all the treatment with the combination of particle size reduction and Fe3O4 released their optimum methane yield on the same hydraulic retention time (day 5), as shown in Figure 2(a). All the pretreatment techniques were noticed to significantly improve the daily methane yield of

(a) Daily methane yield from pretreated substrate and control. A: 2 mm particle size + 20 mg Fe3O4; B: 4 mm particle size + 20 mg Fe3O4; C: 6 mm particle size + 20 mg Fe3O4; E: 20 mg Fe3O4 and F: untreated. (b) Cumulative methane yield from pretreated substrate and control. A: 2 mm particle size + 20 mg Fe3O4; B: 4 mm particle size + 20 mg Fe3O4; C: 6 mm particle size + 20 mg Fe3O4; E: 20 mg Fe3O4 and F: untreated.
Methane and carbon dioxide concentration
The methane and carbon dioxide contents of the single pretreatment, combined pretreatment and control are illustrated in Figure 3. The substrate treated with 6 mm and 20 mg of Fe3O4 nanoparticles attained the optimum methane yield of 73.95%. There is a significant difference in the percentage of methane yield from treatments A, C, E and F (

Methane and carbon dioxide concentration from pretreated substrate and control.
Further particle size reduction below 6 mm may also produce inhibitory compounds/materials, hindering methane production. Smaller particle sizes improve the surface area of the substrate and enhance the attachment of the nanoparticles. This can increase hydrolysis, resulting in over-accumulation of volatile fatty acids (VFAs). Over accumulation of VFAs will directly impact the pH of the system, which will, in turn, have a significant effect on the methanogens that produce methane. Anaerobic digestion is most effective when the pH nears the neutral points (6–8) (Ilhan et al., 2017). A low level of the process pH disturbs the methanogenic bacteria growth, which will eventually lower the gas yield and is mainly a result of overloading due to fast hydrolysis of smaller particle sizes (Muvhiiwa et al., 2016).
The specific biogas and methane yields
The statistical analysis of the specific biogas and methane yields of the single pretreatment and combined pretreatments confirmed that treatment C released the optimum specific biogas and methane (

Specific biogas and methane yields from pretreated substrate and control.
The average biogas and methane yields
The statistical analysis of the average biogas and methane produced showed that the most effective treatment is the combination of Fe3O4 and 6 mm particle size (treatment C), which produced the average optimum biogas and methane through 35 days of retention time and were 36.8 and 28.7 mL, respectively, as shown in Table 4. The treatment methods were significantly different (
Average biogas and methane yields affected by pretreatment methods during different time intervals of HRT.
A: 2 mm + 20 mg Fe3O4; B: 4 mm + 20 mg Fe3O4; C: 6 mm + 20 mg Fe3O4; D: 8 mm + 20 mg Fe3O4; E: 20 mg Fe3O4; F: control and HRT: Hydraulic Retention Time.
Discussion
This study has confirmed that combined pretreatment of particle size reduction and Fe3O4 nanoparticle produced the optimum biogas and methane yields compared to single treatment of Fe3O4 and control, where the statistical analysis indicates a significant difference (
An earlier report by Wang et al. (2016) showed that Fe3O4 nanoparticles improve the reaction kinetics, enhance yields and reduce the retention period. This result also corroborates what was earlier recorded that the Fe3O4 additive as trace metal could lower the retention period of mixed culture (Krongthamchat et al., 2006). This research indicated an optimum methane yield with 20 mg/L Fe3O4 magnetic nanoparticles improved by 85.8%, which is lesser than what was reported by Abdelsalam et al. (2016) when the 20 mg/L Fe3O4 was added to cattle dung slurry. This difference may be connected to the lignocellulosic nature of
It is evident from this work that the Fe3O4 treatment only (treatment E) releases the lowest biogas and methane yields after the control. The source of carbon during the digestion is the
Similarly, it was also reported that a particle size of between 1 and 2 mm is the most effective particle size for the digestion of lignocellulose feedstock (Montgomery and Bochmann, 2014). Several other researchers have noticed that smaller particle sizes produce better biogas and methane yields than their bigger sizes (Kirby et al., 2020; Kulichkova et al., 2020; Prade et al., 2019). It was noticed that mechanical pretreatment enhances the biogas and methane yields of lignocellulose materials like wheat straw and barley. In contrast, it does not for lignocellulose materials like rice straw and maize stalk (Menardo et al., 2012). In line with this assertion, groundnut shell has been established as a lignocellulose material that particle size reduction beyond a particular size does not favour its biogas and methane yields (Jekayinfa et al., 2020). This agrees with what was earlier noticed: if the substrate can be reduced to a point at which it is easy to degrade, overloading of digesters is possible with high organic loading, especially in the batch system. This may cause an imbalance between the acidogenesis/acetogenesis and methanogenesis stage, leading to the substantial accumulation of VFAs, reduced the alkalinity and pH values, and consequently inhibiting the methanogenesis stage (Braz et al., 2019). Another possibility of having a better result before the smaller particle sizes can be due to the production of the inhibitory compound during further size reduction. Smaller particles improve the surface area of the substrate and enhance the nanoparticle attachment. This enhances the hydrolysis rate, leading to over-accumulation of VFAs. Over accumulation of VFAs will affect the pH of the process, which will, in turn, have a negative influence on the methanogens that release biogas. The anaerobic digestion process is most efficient when the pH of the process is closer to neutral points (6–8) (Ilhan et al., 2017). Lower or higher pH of the process due to VFAs accumulation will affect the methanogenic bacteria development, which will eventually lower gas yield. The lower gas yield below 6 mm particle sizes is mainly a result of overloading due to fast hydrolysis of the smaller particle sizes (Muvhiiwa et al., 2016). Microbial community analysis has shown that the addition of Fe3O4 drastically changed the bacterial population in the methanogenic acetate-degrading cultures (Yamada et al., 2015), and syntropic microorganisms can attach to surfaces of relatively larger (mm scale) organic materials. Therefore the addition of Fe3O4 to the 6 mm particle size improves the DIET better than other particle sizes (Liu et al., 2015). This can be investigated further in the subsequent research. Economically, having the best yields at 6 mm particle size could be an advantage as the energy required for further size reduction will be saved, thereby reducing the cost of energy which will, in turn, make the process more economical. Fe3O4 is not encouraged when the digestate is expected to be added to agricultural land to serve as a nutrient source for the plants. It has been reported that traces of iron from the FeO(OH) changed the phosphorous in the soil into iron phosphates (FeP), which makes phosphorous unavailable to agricultural plants (Maroušek et al., 2020).
The technology applied in this work does not require expensive construction nor other additional energy, catalysts or chemicals and is similar to what was used in earlier literature (Maroušek, 2012b). However, particle size reduction needs some cost-effective energy at a laboratory scale. Economically, the technique requires further investigation at a commercial scale before it can be recommended. The detailed parameters related to particle sizes and Fe3O4 additives show the influence of these operating parameters on the yield, as reported earlier (Abdelsalam et al., 2016; Menardo et al., 2012; Olatunji et al., 2022b). The results showed that combined particle size reduction with Fe3O4 influences the biogas and methane yields more than the single pretreatment of Fe3O4 nanoparticle additive. Compared with other pretreatment techniques and lignocellulose materials, the biogas and methane yields are significantly higher (Ossinga, 2020; Siddhu et al., 2016; Xu et al., 2019).
Nevertheless, it must be noticed that the feedstock investigated in this work is
Conclusion
In this study, Fe3O4 nanoparticle single pretreatment of
