Abstract
Trichoderma sp. SG2, isolated from the Black Belt soils of Alabama, USA, is a potent natural producer of β-glucosidase and a broad spectrum of cellulolytic and xylanolytic enzymes. This study explored the saccharification of lignocellulosic biomass using crude enzymes from Trichoderma sp. SG2, various pretreatment strategies, mixed feedstock approaches to enhance sugar yield, and enzyme supplementation to reduce costs. Among the pretreatment methods tested for switchgrass, the most effective was sequential H₃PO₄–ethanol, followed by NaOH–H₂SO₄, H₃PO₄–acetone, H₂SO₄–NaOH, and single-agent treatments (H₂SO₄ alone or NaOH alone). Sugar yields were significantly improved by combining pretreated switchgrass with paper powder as a mixed feedstock. The highest glucose (15.8 g/L) and xylose (3.8 g/L) yields were achieved at 10% pretreated switchgrass after 72 h. A key finding was the significant cost reduction and enhanced saccharification efficiency achieved by supplementing SG2 crude enzyme with 50% of the recommended commercial enzyme dosage. Acid-pretreated switchgrass hydrolysis with SG2 enzyme and commercial enzyme supplementation emerged as the most effective strategy. These results highlight Trichoderma sp. SG2 as a promising candidate for developing cost-effective enzyme cocktails for lignocellulosic biomass hydrolysis where 30 to 40% cost of ethanol production process is accounted for enzyme cost.
Download PDF
Full Article
Breaking Down Biomass: How Pretreatment and Enzyme Strategy Shape Efficient Bioethanol Yields
Ananda Nanjundaswamy a,* and Benedict Okeke
,b
Trichoderma sp. SG2, isolated from the Black Belt soils of Alabama, USA, is a potent natural producer of β-glucosidase and a broad spectrum of cellulolytic and xylanolytic enzymes. This study explored the saccharification of lignocellulosic biomass using crude enzymes from Trichoderma sp. SG2, various pretreatment strategies, mixed feedstock approaches to enhance sugar yield, and enzyme supplementation to reduce costs. Among the pretreatment methods tested for switchgrass, the most effective was sequential H₃PO₄–ethanol, followed by NaOH–H₂SO₄, H₃PO₄–acetone, H₂SO₄–NaOH, and single-agent treatments (H₂SO₄ alone or NaOH alone). Sugar yields were significantly improved by combining pretreated switchgrass with paper powder as a mixed feedstock. The highest glucose (15.8 g/L) and xylose (3.8 g/L) yields were achieved at 10% pretreated switchgrass after 72 h. A key finding was the significant cost reduction and enhanced saccharification efficiency achieved by supplementing SG2 crude enzyme with 50% of the recommended commercial enzyme dosage. Acid-pretreated switchgrass hydrolysis with SG2 enzyme and commercial enzyme supplementation emerged as the most effective strategy. These results highlight Trichoderma sp. SG2 as a promising candidate for developing cost-effective enzyme cocktails for lignocellulosic biomass hydrolysis where 30 to 40% cost of ethanol production process is accounted for enzyme cost.
DOI: 10.15376/biores.20.3.7672-7694
Keywords: Glucose; Cellulose; Hydrolysis; Biofuel; Ethanol; Cellulase; Glucosidase; Xylanase
Contact information: a: Department of Biology and Microbiology, College of Natural Sciences, South Dakota State University, Brookings, SD 57006 USA; b: Department of Biology and Environmental Science, College of Sciences, Auburn University Montgomery, Montgomery, AL 36124 USA;
* Corresponding author: Ananda.nanjundaswamy@sdstate.edu
INTRODUCTION
Fossil fuels dominate the global energy supply (Liu et al. 2018; Popp et al. 2021). However, they are non-renewable resources derived from crude oil and coal, and their depletion is imminent (Octave and Thomas 2009; Deswal et al. 2011). Additionally, their extraction and combustion contribute to environmental pollution, negatively impacting human health, soil, aquatic life, and climate due to CO₂ emissions and particulate matter (Amjith and Bavanish 2022). The low cost of fossil fuels, along with their adverse environmental effects, presents significant challenges (Ruffell 2008). Furthermore, political instability in oil-producing regions can disrupt supply and drive-up crude oil prices. Rapid industrialization worldwide is further increasing demand, exacerbating these issues. Consequently, extensive research is being conducted to develop renewable, cleaner, and more sustainable alternatives (Wu et al. 2006).
Bioethanol production from corn and sugarcane is well-established; however, these feedstocks compete with food and feed applications. In contrast, lignocellulosic biomass, derived from non-food plant material, is the most abundant renewable natural resource (Sánchez and Cardona 2008; Sukumaran et al. 2021). The US dry biomass supply is estimated at approximately 1.3 billion tons per year (Popp et al. 2021; Langholtz 2024) and is continually replenished through photosynthesis (Ragauskas et al. 2006). This natural carbon cycle helps mitigate global carbon emissions. Lignocellulose, a major component of plant biomass, consists of cellulose, hemicellulose, and lignin, with typical compositions of 40 to 50%, 25 to 30%, and 15 to 20%, respectively (Bhardwaj et al. 2019; Prasad et al. 2019). The vast availability of lignocellulosic biomass makes it a promising raw material for bioenergy production, with the potential to meet rising global energy demands (Danso et al. 2022). Converting 1.3 billion tons of cellulosic biomass into biofuel could replace approximately 65% of current fossil fuel usage in the US (Langholtz 2024).
Due to its complex structure, lignocellulosic biomass requires a suite of enzymes to break it down into fermentable sugars. The three main enzyme groups involved are cellulases, xylanases, and ligninases (Sethupathy et al. 2021). Cellulose, the most abundant polysaccharide in lignocellulose, is hydrolyzed by endoglucanases (EC 3.2.1.4), exoglucanases (cellobiohydrolases, EC 3.2.1.91), and β-glucosidases (EC 3.2.1.21) (Van Dyk and Pletschke 2012). Xylan, the primary hemicellulose, is degraded by enzymes, such as endoxylanase (EC 3.2.1.8), β-xylosidase (EC 3.2.1.37), α-glucuronidase (EC 3.2.1.139), α-L-arabinofuranosidase (EC 3.2.1.55), and acetylxylan esterase (EC 3.1.1.72) (Sunna and Antranikian 1997; Whitaker et al. 2003; Ryabova et al. 2009). However, the crystalline nature of cellulose and the presence of lignin contribute to the recalcitrance of lignocellulosic biomass, hindering biodegradation. Lignin, a polymer composed of phenylpropane units, further complicates enzymatic hydrolysis (Sangkharak et al. 2011). Lignin degradation is facilitated by laccases and various peroxidases, along with auxiliary enzymes such as feruloyl esterase and aryl-alcohol oxidase (Kumar and Chandra 2020). Due to its structural complexity, lignocellulosic biomass requires pretreatment to enhance cellulose and hemicellulose accessibility for enzymatic conversion (Rai et al. 2019).
Lignocellulolytic enzymes are produced by various microorganisms, including bacteria (Schwarz 2001; Kim et al. 2009; Saratale et al. 2010), rumen microbiota (Gharechahi et al. 2023), and symbiotic bacteria in termites (Ali et al. 2023). However, cellulolytic and xylanolytic fungi, particularly Trichoderma sp., remain the primary industrial sources of these enzymes (Saini et al. 2022; de Vries et al. 2000; Seyis and Aksoz 2003; Wen et al. 2005; Li et al. 2010; Wang et al. 2018). Among them, the mutant strain Trichoderma reesei RUT-C30 is widely used for industrial-scale enzyme production (Seidl et al. 2008; Wilson 2009).
Commercial success of cellulosic biofuel production depends on having an efficient saccharification step, which solely relies on biomass hydrolyzing enzymes cellulase and beta-glucosidase. These enzymes at time account for more than 20 to 50% of the total process cost in cellulosic biofuel production (Cherry and Fidantsef 2003; Fang et al. 2009; Brijwani et al. 2010; Klein-Marcuschamer et al. 2012; Johnson 2016). As extensively reviewed by Johnson (2016), the cost of commercial enzymes per gallon of ethanol is estimated to be around $0.1 to$ 0.4 per gallon. However, the actual cost of commercial enzyme may vary significantly from $0.68 to $1.47 per gallon of bioethanol produced from biomass. In such a scenario, the best way to reduce cost is to use a combination of crude and commercial enzymes without losing the process efficiency.
Fig. 1. Overview of bioprocessing system for bioethanol production of crude and commercial enzyme combination
Trichoderma reesei is the most commonly utilized fungus for producing biomass-hydrolyzing enzymes in second-generation biofuel production (Pant et al. 2022). However, commercial preparations of T. reesei RUT-C30 exhibit low β-glucosidase activity. In contrast, Trichoderma sp. SG2, a high β-glucosidase-producing strain isolated from soil-biomass mixtures (Nanjundaswamy and Okeke 2014, 2020a), shows promising enzymatic capabilities. This study evaluated switchgrass biomass hydrolysis using in-house crude enzymes from Trichoderma sp. SG2, both independently and in combination with commercial biomass-hydrolyzing enzymes. Crude and commercial enzyme cocktail for saccharification by the novel strain SG2 was the prime focus of this study. An overview of biofuel production is provided in Fig. 1.
MATERIALS AND METHODS
Enzyme Production Process
Seed inoculum was prepared by transferring a loopful of Trichoderma sp. SG2 into a 250-mL flask containing 50 mL of sterile high-solids medium, composed of 5% all-purpose flour, 0.1% yeast extract, and 0.1% peptone. The flasks were incubated at 30 °C for 72 h with shaking at 200 rpm.
Crude enzyme production was conducted in 250-mL flasks containing 50 mL of an optimized screening medium with the following components (g/L): 6.2 g powdered waste paper, 9.6 g pulverized switchgrass, 1.4 g peptone, 0.6 g yeast extract, 0.5 g Tween 80 (polysorbate 80), 2 g KH₂PO₄, 1.2 g (NH₄)₂SO₄, 0.5 g MgSO₄·7H₂O, 0.1 g CaCl₂, 0.003 g FeSO₄·7H₂O, and 2 mL of Fotch mineral element solution (Focht 1994). The medium was sterilized at 121 °C under pressure for 20 min, cooled to room temperature, and inoculated with approximately 2% of the 72-h-old seed culture per 50 mL of sterile medium. The flasks were then incubated at 30 °C for 5 days with orbital shaking at 200 rpm.
Enzyme recovery and assays for cellulase, xylanase, β-glucosidase, and β-xylosidase activities were conducted as previously described (Okeke et al. 2015; Nanjundaswamy and Okeke 2020a). Any variations in the enzyme production process are noted where applicable.
Biomass Pretreatment
The Alamo variety of switchgrass (Panicum virgatum) was used. At least eight different pretreatment strategies were compared:
- 0.5% H₂SO₄ (henceforth referred to as “acid”) only
- 0.5% Acid followed by 0.5% acid
- 2% Acid only
- 2% Alkali only
- 2% Acid followed by 2% alkali
- 2% Alkali followed by 2% acid
- 85% Acid followed by acetone
- 85% Acid followed by ethanol
For pretreatments involving 0.5% or 2% acid and alkali, sulfuric acid and sodium hydroxide were used, respectively. Pretreatment was conducted by soaking approximately 10% (w/v) biomass in the respective acid or alkali solution and autoclaving at 121 °C for 30 min with slow exhaust. After autoclaving, the contents were allowed to cool to room temperature, and the liquid was drained using cheesecloth. The pretreated switchgrass was washed several times with water to remove residual chemicals completely. After 4 to 5 washes, the pH of the liquid was tested and further washed if the pH remained below 5. The washed switchgrass was air-dried at room temperature for 72 h and stored in airtight Ziplock bags until further use.
For sequential acid-alkali pretreatment, switchgrass (10% w/v) was first treated with 2% sulfuric acid and autoclaved at 121 °C for 30 min. The samples were then washed thoroughly with running water until the pH reached 5 to 6. Next, the samples were soaked in 2% sodium hydroxide and autoclaved under the same conditions. After autoclaving, the samples were washed thoroughly until the pH stabilized between 5 and 6, followed by air drying at room temperature for 72 h. A similar sequential method was used for alkali-acid pretreatment.
For sequential mild acid pretreatment, samples were first treated with 0.5% sulfuric acid as described above, followed by a second pretreatment with 0.5% acid after removing the first residue.
For phosphoric acid pretreatment, modifications to the methods described by Zhang et al. (2007) and Sathitsuksanoh et al. (2012) were followed. Briefly, 13.125 g of switchgrass was mixed with 100 mL of 85% phosphoric acid and maintained at 50 °C in a water bath at atmospheric pressure for 60 min. The reaction was terminated by adding 250 mL of 95% ethanol. The samples were centrifuged at 4,500 rpm for 10 min at room temperature. The pellet was resuspended in 250 mL of 95% ethanol, followed by another centrifugation at 4500 rpm for 10 min. The pellet was then washed 3 to 4 times with deionized water until the pH reached 5 to 6. The same method was applied using 85% phosphoric acid followed by pure acetone instead of ethanol.
Compositional Analysis of Biomass
The moisture content of untreated and pretreated biomass was determined using a Mettler Toledo Moisture Meter (HB 43-S Halogen). Approximately 1 g of each sample (pretreated and control) was placed in an aluminum pan, and moisture content was recorded as a percentage using the instrument’s preloaded method. At least two readings were recorded per sample.
Duplicate samples were analyzed for the following:
- Crude fiber: (Thiex 2009)
- Acid-detergent fiber (ADF): (Möller et al. 2009)
- Neutral-detergent fiber (NDF): (Holst 1973)
- Cellulose: (Möller et al. 2009)
- Hemicellulose: Calculated as NDF – ADF
- Lignin: (Van Soest and Wine 1968)
- Protein: (Miller et al. 2007)
- Crude protein: Calculated using the formula: 6.25 × nitrogen value
- Ash: (Thiex et al. 2012)
Compositional analyses were performed at the Agricultural Experimental Station Chemical Laboratories, University of Missouri, Columbia, MO, USA.
Saccharification
Saccharification was performed in 100-mL flasks with airtight caps. Each flask contained 10 mL of crude enzyme extract and 1 g biomass material. All experiments were conducted in duplicate. Saccharification was carried out at 50 °C with continuous mixing at 80 rpm using a Thermo Scientific MaxQ 4000 shaker. Flasks were tightly sealed to prevent moisture loss. Samples were analyzed for sugar content using HPLC (Ananda et al. 2011).
Where specified, enzyme extracted from solid substrate culture was used. Trichoderma SG-2 cellulolytic and xylanolytic enzymes were produced via solid-state fermentation of soy hulls (Nanjundaswamy and Okeke 2020a). Enzymes were extracted using deionized water containing 2 ppm Lactrol as an antibacterial agent. The extracted enzymes were directly added to the substrate in airtight flasks. For saccharification, 10 g of pretreated material was mixed with 90 mL of enzyme extract. Flasks were tightly sealed to prevent moisture loss and incubated at 50 °C as described above.
Duplicate flasks were maintained for each enzyme treatment and pretreated material. Approximately 100 µL of sample was collected daily for up to 96 h. Samples were diluted, centrifuged, and filtered (0.4 µm) before sugar analysis using HPLC.
HPLC Estimation of Sugars and Ethanol
Sugars and ethanol were quantified using the method outlined in (Ananda et al. 2011). Briefly, 100 µL of the supernatant was diluted 1:10 with water, filtered through a 0.45-µm syringe filter, and analyzed using a Shimadzu SIL-20AC HPLC equipped with a refractive index detector (RID-20A,120V) and a column oven (CTO-20A) at 82 °C. Water was used as the mobile phase at a flow rate of 0.6 mL/min. Sugars and ethanol were quantified using a Rezex organic acid column coated with 8% Ca++. Data were acquired using LabSolutions Lite Software. Calibration curves for glucose, xylose, and ethanol were prepared using pure analytical standards obtained from Sigma. Calibration curve concentrations ranged from 1 to 10 mg/mL for sugars and ethanol.
Effect of Feedstock Concentration on Saccharification by Crude Trichoderma SG-2 Enzyme
Acid-pretreated switchgrass paper powder was used at concentrations of 2%, 5%, 10%, 15%, and 20%. The experiment was conducted as described under saccharification.
Saccharification of Paper Powder and Supplementation to Switchgrass Feedstock
Office waste (white, printed) shredded paper was milled and stored in Ziplock bags. Acid pretreatment was carried out as described above. Steam pretreatment was conducted using a Sanyo vertical autoclave for 60 min at 121 °C.
In this experiment, virgin (untreated) paper powder at 2% and 5%, as well as steam-pretreated and acid-pretreated samples, were used for saccharification. Enzyme production, saccharification, and sugar estimation were conducted as described above.
Feedstock concentrations of 2%, 4%, 5%, and 6% were tested using a 50:50 mixture of acid-pretreated switchgrass and acid-pretreated paper powder. Enzyme production, saccharification, and sugar estimation were performed as described above.
Sequential Enzyme Addition to Saccharified Switchgrass for Maximum Sugar Yield
SG-2 crude enzyme was produced as described above. Acid-pretreated switchgrass was used at 2% and 5% concentrations. Experiments were conducted in duplicate.
After initial enzymatic treatment for 24 h, samples were centrifuged at 14,000 × g for 15 min using a Beckman Coulter centrifuge. The supernatant was collected for sugar analysis, and fresh crude enzyme was added to the saccharified residue. The mixture was transferred to a flask and allowed to saccharify for another 24 h. This sequential extraction process was conducted to collect data at 24, 48, and 72 h. Enzyme production, saccharification, and sugar estimation were performed as described above.
Biomass Saccharification with SG-2 In-house Enzyme in Conjunction with Commercial Enzymes
A comparative study was conducted on switchgrass saccharification and fermentation using crude and commercial enzymes. Both acid-pretreated and alkali-pretreated switchgrass were tested.
Saccharification was performed in 100-mL flasks with airtight caps, each containing 10 mL of reaction mixture and 2% switchgrass (virgin, autoclaved, acid-pretreated, or alkali-pretreated). All experiments were performed in duplicate.
The following commercial enzymes from Novozymes were used:
- Cellulase (NS22086)
- Xylanase (NS22083)
- β-Glucosidase (NS22118)
- Hemicellulase (NS22002)
Enzyme dosing was adjusted according to Novozymes’ recommendations for 2 to 5% (w/v) biomass suspension:
- 5% cellulase
- 0.25% xylanase
- 0.6% β-glucosidase
- 2% hemicellulase
The following enzyme treatments were applied:
- C – Crude aqueous extract of SG-2
- N – Novozymes enzymes at the recommended dosage
- C50N – SG-2 crude extract with 50% of the recommended Novozymes dosage
- C25N – SG-2 crude extract with 25% of the recommended Novozymes dosage
Saccharification was performed at 50 °C with continuous mixing at 80 rpm using a Thermo Scientific MaxQ 4000 shaker. Flasks were tightly sealed to prevent moisture loss. Samples (0.5 mL) were collected at 24-h intervals for up to 72 h and analyzed for sugar content using HPLC (Ananda et al. 2011).
Statistical Analyses
Statistical analyses were conducted using SAS (version 9.1.4). Analysis of variance (ANOVA) was performed to compare treatments using ‘Procedure (PROC)’ Analysis of Variance (ANOVA). Pairwise comparisons were conducted using Tukey’s adjustment, with statistical significance set at P = 0.05.
RESULTS AND DISCUSSION
Cellulolytic and Xylanolytic Enzymes for Biomass Saccharification
The representative activities of in-house Trichoderma SG2 crude enzymes and commercial enzymes are presented in Table 1S. As expected, the levels of cellulolytic and xylanolytic enzyme activities were higher in the concentrated commercial enzymes compared to the unconcentrated crude in-house Trichoderma SG2 enzymes. The commercial enzyme also had a higher crude protein content than the in-house enzyme. Consequently, the crude specific enzyme activity of the Trichoderma SG2 enzyme was higher compared to that of the commercial enzyme, which exhibited lower specific activity due to its high protein content. The high crude protein content and low specific activity of the commercial enzyme suggest that it underwent multiple rounds of concentration post-fermentation (Hamdan and Jasim 2018).
The unconcentrated crude Trichoderma SG2 cellulolytic and xylanolytic enzyme preparation demonstrated significant activity, which could be enhanced through downstream processing methods, such as ultrafiltration or freeze-drying, to obtain a concentrated enzyme mixture. This would improve biomass saccharification efficiency with Trichoderma SG2.
The cellulolytic and xylanolytic enzyme activities of Trichoderma SG2 were several orders of magnitude higher when produced in solid-substrate fermentation (Nanjundaswamy and Okeke 2020a). Additionally, dilution of the enzyme prior to assay revealed significantly higher activity—approximately 2.8 times for cellulase and 7.9 times for xylanase—in the enzymes obtained from liquid-submerged culture fermentation (Okeke et al. 2015).
Fig. 2. Effect of different pretreatment methods on saccharification of switchgrass (Standard error less than 0.5%)
Effect of Pretreatment Methods on Biomass Saccharification
Composition of switchgrass used for pretreatment is provided in Table 2S. In the present investigation the authors used switchgrass from Union Springs. The composition profile of switchgrass used in the present investigation was similar to the commercially produced switchgrass with respect to cellulose, hemicellulose, lignin, protein, and ash content (Tumuluru 2015; Wang et al. 2020; Wasonga et al. 2025). Different biomass pretreatment methods were evaluated. Figures 2a and 2b present an initial investigation into the saccharification of sodium hydroxide-pretreated switchgrass using 5%, 10%, and 20% dilutions of crude Trichoderma SG2 enzyme treatments over 48 and 72 h. Glucose release from sodium hydroxide-pretreated switchgrass was approximately 0.35 g/L with 10% and 20% crude Trichoderma SG2 enzyme loading. Increasing the incubation time from 48 to 72 h did not significantly affect glucose release (Fig. 1a). A similarly low sugar yield was observed for xylose release, which was approximately 0.14 g/L at 10% and 20% enzyme loading. The duration of substrate-enzyme incubation had little impact on sugar yield, except for a moderate increase at 5% crude Trichoderma SG2 enzyme loading (Fig. 1b).
Fig. 3. Saccharification of acid-pretreated paper powder (Standard error less than 0.5%)
The low glucose and xylose yields from alkali pretreatment may be attributed to the low concentration of crude SG2 enzymes at 5% to 20% loading. Sodium hydroxide has been used for biomass pretreatment in concentrations ranging from 0.5% to 10%, heated up to 180 °C for 60 min (Kim et al. 2016). Optimal NaOH pretreatment was achieved using 3% NaOH with heating in a laboratory autoclave for 60 min (Sindhu et al. 2015). Saccharification of wheat straw pretreated with sodium hydroxide was optimal at 1.0% (w/w) NaOH, 5.0% (w/v) substrate at 121 °C for 60 min, using cellulase from Trichoderma reesei ATCC 26921 (Wang et al. 2021). Furthermore, glucose and xylose yields do not account for all saccharide products, such as oligosaccharides such as cellobiose and other cello-oligosaccharides, as well as xylobiose and other xylo-oligosaccharides, which were not targeted in the HPLC analysis. The mechanism of NaOH pretreatment involves the solubilization of hemicellulose and lignin by breaking ether and ester bonds linking carbohydrates to lignin, as well as C-C and ester bonds in lignin (Kim et al. 2016).
Fig. 4. Paper powder supplementation of switchgrass: a. glucose, b. xylose; means and standard errors are indicated (paper powder:switchgrass = 1:1)
Up to 10 times the sugar yield from alkali pretreatment was observed with acid pretreatment of switchgrass. The highest glucose release after 72 h of incubation was 3.6 g/L at 20% enzyme loading (Fig. 2a). Sugar yield was directly related to reaction time and enzyme loading. A similar trend was observed for the release of xylose from acid-pretreated switchgrass (Fig. 2b). At 20% enzyme loading and 72 h of saccharification, the highest xylose release was 2.2 g/L. To enhance sugar yield from pretreated biomass, enzyme loading was increased to 50% and 100% crude Trichoderma SG2 enzyme. With 2% sulfuric acid pretreatment, a glucose yield of 9.7 g/L was observed at 72 h, which was not statistically different from the yield recorded after 96 h of saccharification using 100% crude Trichoderma SG2 cellulolytic-xylanolytic enzyme complex (Fig. 2a). The highest xylose yield was 0.36 g/L at 96 h with 100% crude enzyme, which did not vary significantly from the result at 72 h (Fig. 2b). Overall, crude enzyme loading at 100% yielded the highest total glucose yield of approximately 10 g/L and was significantly more effective than 50% crude enzyme loading for saccharification.
Reports suggest that acid pretreatment enhances lignocellulose biomass saccharification by disrupting hydrogen and covalent bonds, as well as Van der Waals forces interlinking macromolecules (cellulose, hemicellulose, and lignin) in lignocellulose (Li et al. 2010). Consequently, cellulose becomes more accessible for enzymatic hydrolysis, hemicellulose (especially xylan) is largely dissolved, and lignin persists. Acid pretreatments using H2SO4, HCl, and CH3COOH at concentrations ranging from 1% to 4% have been employed to improve lignocellulose biomass digestibility (Amin et al. 2017).
A study on acid-pretreated sugarcane bagasse saccharification using a cellulase cocktail from Talaromyces verruculosus IIPC 324 and commercial biofuel enzymes found that the in-house enzyme achieved 59% saccharification, whereas Cellic CTec2 reached 77% (Jain et al. 2019). Acid pretreatment typically requires high temperatures, increasing energy input and potentially leading to the formation of inhibitory products, such as furfural and 5-hydroxymethylfurfural (HMF), which result from the dehydration of saccharides such as xylose, galactose, mannose, and glucose (Hendriks and Zeeman 2009).
Overall, dilute sulfuric acid pretreatment followed by saccharification with 100% crude enzyme (unconcentrated culture supernatant) resulted in the most effective saccharification, yielding 10 g/L of sugar from switchgrass. This work supports in-house enzyme production without requiring concentration, allowing biomass to be directly applied to the clarified fermentation broth without further clarification. This reduces equipment and labor costs associated with downstream clarification by centrifugation or filtration.
Supplementation of Switchgrass Feedstock with Paper Powder
The saccharification of acid-pretreated paper powder showed that 5% acid-pretreated paper powder yielded the highest glucose concentration of 10.3 g/L after 48 h, starting with 8.5 g/L at 24 h. The highest xylose concentration was 3.9 g/L at 48 h, starting with 2.7 g/L at 24 h (Fig. 3). Sugar yields increased up to 48 h and then stabilized, showing no significant difference between 48 and 72 h. In un-pretreated and autoclaved paper powder, sugar yields were negligible, with less than 0.5 g/L after 24 h and undetectable levels after 48 h.
The effect of supplementing switchgrass with paper powder in equal proportions (1:1) to achieve total concentrations of 2%, 4%, 5%, and 6% is shown in Figs. 4a and b. At 6% feedstock concentration (paper powder: switchgrass), both glucose and xylose yields significantly increased (P < 0.0001) in the following order: 6% > 5% > 4% > 2%. Sugar yields increased significantly (P < 0.0001) with reaction time: yields at 72 h > 48 h > 24 h for both glucose and xylose. Analysis of each concentration revealed that glucose and xylose yields did not vary significantly over time for the 2%, 4%, and 5% concentrations. However, yields at 6% showed significant differences, with the highest yields at 72 h (72 h > 48 h > 24 h for glucose and xylose). The highest glucose yield (15 g/L) and xylose yield (4.4 g/L) were obtained from 6% pretreated switchgrass feedstock after 72 h of saccharification. Using a mixed feedstock approach has the potential to reduce costs compared to using a single feedstock system (Oke et al. 2016) and can also reduce potential inhibitors from biomass pretreatment depending on the supplementary feedstock, thereby improving saccharide yields. Mixed-feedstock alkaline treatment enhanced lignin recovery from residual lignocellulosic materials from Cannabis and Euphorbia species processing for value-added pharmaceutical metabolites (Berchem et al. 2020).
Fig. 5. Sequential saccharification of saccharified-switchgrass feedstock: a. Glucose, b. xylose; means and standard errors are indicated
The great potential of mixed-feedstock processes to produce biofuels and biochemicals was demonstrated using a mixture of corn stover, switchgrass, lodgepole pine, and eucalyptus, yielding a 90% sugar yield within 24 h of saccharification (Shi et al. 2013). Saccharification of acid-pretreated waste office paper powder at 5% concentration was most efficient and yielded 10 g/L glucose after 48 h. Consequently, shredded white-printed paper waste can be utilized for saccharification and potential biofuel and biochemical production. Furthermore, it can be used to supplement switchgrass feedstock. Supplementation of paper powder to switchgrass feedstock at a 50:50 ratio (50% of each to reach the final concentration) showed that a 6% total substrate concentration resulted in the highest glucose and xylose levels (Figs. 3a, b), slightly greater than those obtained with 5% switchgrass alone (Figs. 2a, b).
Effect of Sequential Enzyme Addition to Switchgrass Biomass Saccharification
The potential to enhance saccharide yield through the sequential addition of enzymes was assessed. In the initial addition of enzyme, 6.26 g/L and 5 g/L of glucose and 1.9 g/L and 1.6 g/L of xylose were observed from saccharification of 2% and 5% acid-pretreated switchgrass, respectively, after 24 h of saccharification (Figs. 5a and b). A subsequent addition of SG2 crude enzyme to the same biomass (second saccharification) produced 1.4 g/L and 5 g/L of glucose and 0.4 g/L and 1.6 g/L of xylose, respectively, from 2% and 5% acid-pretreated switchgrass. The third saccharification resulted in 0.05 g/L and 0.3 g/L of glucose and 0 g/L and 0.8 g/L of xylose, respectively, from 2% and 5% switchgrass. After repeated enzyme addition and saccharide extraction over 72 h, a cumulative total of 7.5 g/L and 10.3 g/L of glucose and 2.3 g/L and 3.9 g/L of xylose were achieved from 2% and 5% switchgrass biomass saccharification, respectively. The lower xylose yield is not unexpected, because dilute acid pretreatment significantly dissolves hemicellulose.
Optimizing the process of repeated saccharification of saccharified switchgrass (intermittent dosing) can enhance saccharification and subsequent conversion to ethanol and biochemicals. In a similar study, a pre-hydrolysis step in a simultaneous saccharification and fermentation (SSF) process increased ethanol production (Tareen et al. 2021). The authors also showed that a fed-batch process at 10% and 20% biomass decreased high viscosity issues, improved hydrolysis, and subsequently increased ethanol yield.
Biomass Saccharification with Trichoderma SG2 In-House Enzyme in Conjunction with a Commercial Enzyme
The saccharification of acid-pretreated switchgrass was evaluated using Trichoderma SG2 in-house enzyme (N) in combination with a commercial enzyme (C). The highest glucose yield was observed with a 50:50 combination (50% C and 50% N) and a 25:75 combination (25% C and 75% N) (Fig. 6a). Glucose yields followed the trend: C50N > C25N > N > C. The highest glucose yield of 5.61 ± 0.1 g/L was obtained with C50N after 48 h, with no significant increase observed at 72 h. The next highest yield of 5.11 ± 0.3 g/L was recorded with C25N after 72 h. Xylose release exhibited a similar pattern (Fig. 6b), with the highest yield of 1.64 ± 0.02 g/L after 72 h using C50N.
Switchgrass pretreated with 2% sulfuric acid and hydrolyzed with 100% crude enzyme at 30 °C resulted in the highest residual glucose (2.7 g/L, Fig. 6a) and xylose (2.4 g/L, Fig. 6b) at 24 h. However, a reduction in sugar content over time was observed in Control 2, suggesting microbial growth, potentially due to Trichoderma SG2 from the crude enzyme.
Combining the in-house crude enzyme with commercial enzymes yielded remarkable results and demonstrated potential cost reductions compared to using either enzyme separately for biomass saccharification. While the commercial cellulase and beta-glucosidase exhibited higher activity than the Trichoderma SG2 crude enzymes, the Trichoderma SG2 xylanase had twice the activity of the commercial xylanase. Acid-pretreated switchgrass hydrolyzed with SG2 crude enzyme supplemented with 50% of the recommended commercial cellulase dosage (C50N) achieved the highest sugar yield after 72 h. Using Trichoderma SG2 crude enzyme supplemented with Novozymes cellulase at 25% or 50% of the recommended dosage (C25N or C50N) increased glucose yield 19% to 30% compared to commercial enzymes alone.
Fig. 6. Switchgrass saccharification by Trichoderma SG2 and commercial enzyme (N)
Supplementing commercial enzymes with 50% SG2 crude enzyme offers a cost-effective alternative by reducing commercial enzyme usage while improving efficiency, achieving at least 30% higher glucose yield. Because Trichoderma SG2 crude enzyme is derived from fermentation broth without expensive chemicals or complex processes, its production is economically feasible for in-house use at farms or biorefineries.
Fermentability studies of biomass hydrolysate using this enzyme mix showed a maximum fermentation efficiency of 74% with C50N, followed by 65% with C25N, 55% with N, and 52% with C. Encouraging results were also observed with 25% commercial enzyme supplementation of crude enzyme, potentially reducing enzyme costs by up to 75%. Even a 25% reduction in commercial enzyme costs is significant, given that enzymes are a major expense in cellulosic ethanol production.
A combination of crude enzyme and 50% commercial enzyme yielded 5.61 g of glucose from 20 g of acid-pretreated switchgrass at 48 h, indicating a potential yield of 56.1 g of glucose from 200 g of biomass. Similarly, this combination produced 1.64 g of xylose from 20 g of biomass, translating to a potential yield of 16.4 g of xylose from 200 g. Thus, acid-pretreated switchgrass has the potential to yield a total of 72.5 g of sugars (glucose and xylose) from 200 g of biomass.
Optimizing enzyme cocktail composition is crucial for enhancing hydrolysis efficiency in lignocellulosic biomass saccharification (Zhang et al. 2023). Trichoderma SG2 produces a promising mix of cellulolytic and xylanolytic enzymes (Nanjundaswamy and Okeke 2020b). In contrast, Trichoderma RUT-C30, a widely used industrial strain, produces lower beta-glucosidase levels, necessitating the development of advanced biomass hydrolyzing enzymes such as Celluclast, Cellic CTec2, and Cellic CTec3 to optimize enzyme balance and enhance hydrolysis.
CONCLUSIONS
- Cost-effective biomass deconstruction and enzyme production are essential for efficient lignocellulosic bioprocessing.
- Sequential phosphoric acid-acetone pretreatment yielded the highest sugar release, followed by acid-alkali pretreatment, with the latter being more economical at low concentrations.
- Trichoderma SG2 produces a promising enzyme cocktail for biomass saccharification, enhancing sugar yield when combined with 25 to 50% commercial enzyme dosage, significantly reducing costs.
- Mixed feedstock saccharification further improved sugar recovery. Future research will focus on optimizing saccharification and fermentation processes and enhancing enzyme production through gene cloning and overexpression for improved biomass hydrolysis.
- This study offers valuable insight into evaluating enzymatic activity across both crude and commercial enzyme formulations, enabling strategic supplementation of enzyme blends to maximize sugar yields, a key factor in advancing cost-effective cellulosic biofuel production.
ACKNOWLEDGEMENTS
We would like to acknowledge the Department of Energy (DOE) grant number DE-EE0003132 awarded to Benedict Okeke, which supported this work. We would also like to acknowledge USDA HATCH grant number 7005999 awarded to Ananda Nanjundaswamy. The authors acknowledge Dr. Keerthi Mandyam for data analyses and proofreading the draft.
REFERENCES CITED
Ali, S., Isha, and Chang, Y.-C. (2023). “Ecotoxicological impact of bioplastics biodegradation: A comprehensive review,” Processes 11(12), article 3445. DOI: 10.3390/pr11123445
Amin, F. R., Khalid, H., Zhang, H., Rahman, S. U., Zhang, R., Liu, G., and Chen, C. (2017). “Pretreatment methods of lignocellulosic biomass for anaerobic digestion,” AMB Express 7(1), article 72. DOI: 10.1186/s13568-017-0375-4
Amjith, L., and Bavanish, B. (2022). “A review on biomass and wind as renewable energy for sustainable environment,” Chemosphere 293, article ID 133579. DOI: 10.1016/j.chemosphere.2022.133579
Ananda, N., Vadlani, P. V., and Prasad, P. V. V. (2011). “Evaluation of drought and heat stressed grain sorghum (Sorghum bicolor) for ethanol production,” Industrial Crops and Products 33(3), 779-782. DOI: 10.1016/j.indcrop.2011.01.007
Berchem, T., Schmetz, Q., Lepage, T., and Richel, A. (2020). “Single and mixed feedstocks biorefining: Comparison of primary metabolites recovery and lignin recombination during an alkaline process,” Frontiers in Chemistry 8, article 479. DOI: 10.3389/fchem.2020.00479
Bhardwaj, N., Kumar, B., and Verma, P. (2019). “A detailed overview of xylanases: An emerging biomolecule for current and future prospective,” Bioresources and Bioprocessing 6, article 40. DOI: 10.1186/s40643-019-0276-2
Brijwani, K., Oberoi, H. S., and Vadlani, P. V. (2010). “Production of a cellulolytic enzyme system in mixed-culture solid-state fermentation of soybean hulls supplemented with wheat bran,” Process Biochemistry 45(1), 120-128. DOI: 10.1016/j.procbio.2009.08.015
Cherry, J. R., and Fidantsef, A. L. (2003). “Directed evolution of industrial enzymes: An update,” Current Opinion in Biotechnology 14(4), 438-443. DOI: 10.1016/s0958-1669(03)00099-5
Danso, B., Ali, S. S., Xie, R., and Sun, J. (2022). “Valorisation of wheat straw and bioethanol production by a novel xylanase- and cellulase-producing Streptomyces strain isolated from the wood-feeding termite, Microcerotermes species,” Fuel 310, article 122333. DOI: 10.1016/j.fuel.2021.122333
de Vries, R. P., Kester, H. C. M., Poulsen, C. H., Benen, J. A. E., and Visser, J. (2000). “Synergy between enzymes from Aspergillus involved in the degradation of plant cell wall polysaccharides,” Carbohydrate Research 327(4), 401-410. DOI: 10.1016/S0008-6215(00)00066-5
Deswal, D., Khasa, Y. P., and Kuhad, R. C. (2011). “Optimization of cellulase production by a brown rot fungus Fomitopsis sp. RCK2010 under solid state fermentation,” Bioresource Technology 102(10), 6065-6072. DOI: 10.1016/j.biortech.2011.03.032
Fang, X., Yano, S., Inoue, H., and Sawayama, S. (2009). “Strain improvement of Acremonium cellulolyticus for cellulase production by mutation,” Journal of Bioscience and Bioengineering 107(3), 256-261. DOI: 10.1016/j.jbiosc.2008.11.022
Focht, D. D. (1994). “Microbiological procedures for biodegradation research,” in: Methods of Soil Analysis, John Wiley and Sons, Ltd., Hoboken, NJ, USA, pp. 407-426. DOI: 10.2136/sssabookser5.2.c20
Gharechahi, J., Vahidi, M. F., Sharifi, G., Ariaeenejad, S., Ding, X.-Z., Han, J.-L., and Salekdeh, G. H. (2023). “Lignocellulose degradation by rumen bacterial communities: New insights from metagenome analyses,” Environmental Research 229, article 115925. DOI: 10.1016/j.envres.2023.115925
Hendriks, A. T. W. M., and Zeeman, G. (2009). “Pretreatments to enhance the digestibility of lignocellulosic biomass,” Bioresource Technology 100(1), 10-18. DOI: 10.1016/j.biortech.2008.05.027
Holst, D. O. (1973). “Holst filtration apparatus for van Soest detergent fiber analyses,” Journal of Association of Official Analytical Chemists 56(6), 1352-1356. DOI: 10.1093/jaoac/56.6.1352
Jain, L., Kurmi, A. K., and Agrawal, D. (2019). “Benchmarking hydrolytic potential of cellulase cocktail obtained from mutant strain of Talaromyces verruculosus IIPC 324 with commercial biofuel enzymes,” 3 Biotech 9(1), article 23. DOI: 10.1007/s13205-018-1547-x
Johnson, E. (2016). “Integrated enzyme production lowers the cost of cellulosic ethanol,” Biofuels, Bioproducts and Biorefining 10(2), 164-174. DOI: 10.1002/bbb.1634
Kim, B.-K., Lee, B.-H., Lee, Y.-J., Jin, I.-H., Chung, C.-H., and Lee, J.-W. (2009). “Purification and characterization of carboxy methyl cellulase isolated from a marine bacterium, Bacillus subtilis subsp. Subtilis A-53,” Enzyme and Microbial Technology 44(6), 411-416. DOI: 10.1016/j.enzmictec.2009.02.005
Kim, J. S., Lee, Y. Y., and Kim, T. H. (2016). “A review on alkaline pretreatment technology for bioconversion of lignocellulosic biomass,” Bioresource Technology 199, 42-48. DOI: 10.1016/j.biortech.2015.08.085
Klein-Marcuschamer, D., Oleskowicz-Popiel, P., Simmons, B. A., and Blanch, H. W. (2012). “The challenge of enzyme cost in the production of lignocellulosic biofuels,” Biotechnology and Bioengineering 109(4), 1083-1087. DOI: 10.1002/bit.24370
Kumar, A., and Chandra, R. (2020). “Ligninolytic enzymes and its mechanisms for degradation of lignocellulosic waste in environment,” Heliyon 6(2), article ID e03170. DOI: 10.1016/j.heliyon.2020.e03170
Hamdan, N.T. and Jasim, H. M. (2018). “Purification and characterization of Cellulase enzyme from Trichoderma longibrachiatum isolated in Iraqi soil,” IOSR Journal of Biotechnology and Biochemistry (IOSR-JBB) 4(1), 32-41.
Langholtz, M. (2024). “Chapter 1: Background and introduction [Dataset],” in: Bioenergy Knowledge Discovery Framework (BEKDF), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA. DOI: 10.23720/BT2023/2316166
Li, C., Knierim, B., Manisseri, C., Arora, R., Scheller, H. V., Auer, M., Vogel, K. P., Simmons, B. A., and Singh, S. (2010). “Comparison of dilute acid and ionic liquid pretreatment of switchgrass: Biomass recalcitrance, delignification and enzymatic saccharification,” Bioresource Technology 101(13), 4900-4906. DOI: 10.1016/j.biortech.2009.10.066
Li, X., Yang, H., Roy, B., Park, E. Y., Jiang, L., Wang, D., and Miao, Y. (2010). “Enhanced cellulase production of the Trichoderma viride mutated by microwave and ultraviolet,” Microbiological Research 165(3), 190-198. DOI: 10.1016/j.micres.2009.04.001
Liu, H., Price, M. N., Waters, R. J., Ray, J., Carlson, H. K., Lamson, J. S., Chakraborty, R., Arkin, A. P., and Deutschbauer, A. M. (2018). “Magic pools: Parallel assessment of transposon delivery vectors in bacteria,” mSystems 3(1), article 00143-17. DOI: 10.1128/msystems.00143-17
Miller, E. L., Bimbo, A. P., Barlow, S. M., SHeridan, B., Burks, L. B. W., and
Collaborators (2007). “Repeatability and reproducibility of determination of the
nitrogen content of fishmeal by the combustion (Dumas) method and comparison with the Kjeldahl Method: Interlaboratory study,” Journal of AOAC International 90(1), 6-20. DOI: 10.1093/jaoac/90.1.6
Möller, J., and Collaborators (2009). “Gravimetric determination of acid detergent
fiber and lignin in feed: Interlaboratory study,” Journal of AOAC International
92(1), 74-90. DOI: 10.1093/jaoac/92.1.74
Nanjundaswamy, A., and Okeke, B. C. (2020a). “Comprehensive optimization of culture conditions for production of biomass-hydrolyzing enzymes of Trichoderma SG2 in submerged and solid-state fermentation,” Applied Biochemistry and Biotechnology 191(1), 444-462. DOI: 10.1007/s12010-020-03258-1
Nanjundaswamy, A., and Okeke, B. C. (2020b). “Comprehensive optimization of culture conditions for production of biomass-hydrolyzing enzymes of Trichoderma SG2 in submerged and solid-state fermentation,” Applied Biochemistry and Biotechnology 191(1), 444-462. DOI: 10.1007/s12010-020-03258-1
Octave, S., and Thomas, D. (2009). “Biorefinery: Toward an industrial metabolism,” Biochimie 91(6), 659-664. DOI: 10.1016/j.biochi.2009.03.015
Oke, M. A., Annuar, M. S. M., and Simarani, K. (2016). “Mixed feedstock approach to lignocellulosic ethanol production—Prospects and limitations,” BioEnergy Research 9(4), 1189-1203. DOI: 10.1007/s12155-016-9765-8
Okeke, B. C. (2014). “Cellulolytic and xylanolytic potential of high β-glucosidase-producing Trichoderma from decaying biomass,” Applied Biochemistry and Biotechnology 174(4), 1581-1598. DOI: 10.1007/s12010-014-1121-x
Okeke, B. C., Hall, R. W., Nanjundaswamy, A., Thomson, M. S., Deravi, Y., Sawyer, L., and Prescott, A. (2015). “Selection and molecular characterization of cellulolytic–xylanolytic fungi from surface soil-biomass mixtures from black belt sites,” Microbiological Research 175, 24-33. DOI: 10.1016/j.micres.2015.03.001
Pant, S., Ritika, Nag, P., Ghati, A., Chakraborty, D., Maximiano, M. R., Franco, O. L., Mandal, A. K., and Kuila, A. (2022). “Employment of the CRISPR/Cas9 system to improve cellulase production in Trichoderma reesei,” Biotechnology Advances 60, article ID 108022. DOI: 10.1016/j.biotechadv.2022.108022
Popp, J., Kovács, S., Oláh, J., Divéki, Z., and Balázs, E. (2021). “Bioeconomy: Biomass and biomass-based energy supply and demand,” New Biotechnology 60, 76-84. DOI: 10.1016/j.nbt.2020.10.004
Prasad, R. K., Chatterjee, S., Mazumder, P. B., Gupta, S. K., Sharma, S., Vairale, M. G., Datta, S., Dwivedi, S. K., and Gupta, D. K. (2019). “Bioethanol production from waste lignocelluloses: A review on microbial degradation potential,” Chemosphere 231, 588-606. DOI: 10.1016/j.chemosphere.2019.05.142
Ragauskas, A. J., Williams, C. K., Davison, B. H., Britovsek, G., Cairney, J., Eckert, C. A., Frederick, W. J., Hallett, J. P., Leak, D. J., Liotta, C. L., et al. (2006). “The path forward for biofuels and biomaterials,” Science 311(5760), 484-489. DOI: 10.1126/science.1114736
Rai, R., Bibra, M., Chadha, B. S., and Sani, R. K. (2019). “Enhanced hydrolysis of lignocellulosic biomass with doping of a highly thermostable recombinant laccase,” International Journal of Biological Macromolecules 137, 232-237. DOI: 10.1016/j.ijbiomac.2019.06.221
Ryabova, O., Vrsanská, M., Kaneko, S., van Zyl, W. H., and Biely, P. (2009). “A novel family of hemicellulolytic alpha-glucuronidase,” FEBS Letters 583(9), 1457-1462. DOI: 10.1016/j.febslet.2009.03.057
Saini, J. K., Himanshu, Hemansi, Kaur, A., and Mathur, A. (2022). “Strategies to Enhance enzymatic hydrolysis of lignocellulosic biomass for biorefinery applications: A review,” Bioresource Technology 360, article ID 127517. DOI: 10.1016/j.biortech.2022.127517
Sánchez, Ó. J., and Cardona, C. A. (2008). “Trends in biotechnological production of fuel ethanol from different feedstocks,” Bioresource Technology 99(13), 5270-5295. DOI: 10.1016/j.biortech.2007.11.013
Sangkharak, K., Vangsirikul, P., and Janthachat, S. (2011). “Isolation of novel cellulase from agricultural soil and application for ethanol production,” International Journal of Advanced Biotechnology and Research 2(2), 230-239.
Saratale, G. D., Saratale, R. G., Lo, Y.-C., and Chang, J.-S. (2010). “Multicomponent cellulase production by Cellulomonas biazotea NCIM-2550 and its applications for cellulosic biohydrogen production,” Biotechnology Progress 26(2), 406-416. DOI: 10.1002/btpr.342
Sathitsuksanoh, N., Zhu, Z., and Zhang, Y.-H. P. (2012). “Cellulose solvent- and organic solvent-based lignocellulose fractionation enabled efficient sugar release from a variety of lignocellulosic feedstocks,” Bioresource Technology 117, 228-233. DOI: 10.1016/j.biortech.2012.04.088
Schwarz, W. (2001). “The cellulosome and cellulose degradation by anaerobic bacteria,” Applied Microbiology and Biotechnology 56(5), 634-649. DOI: 10.1007/s002530100710
Seidl, V., Gamauf, C., Druzhinina, I. S., Seiboth, B., Hartl, L., and Kubicek, C. P. (2008). “The Hypocrea jecorina (Trichoderma reesei) hypercellulolytic mutant RUT C30 lacks a 85 kb (29 gene-encoding) region of the wild-type genome,” BMC Genomics 9, article 327. DOI: 10.1186/1471-2164-9-327
Sethupathy, S., Morales, G. M., Li, Y., Wang, Y., Jiang, J., Sun, J., and Zhu, D. (2021). “Harnessing microbial wealth for lignocellulose biomass valorization through secretomics: A review,” Biotechnology for Biofuels 14(1), article 154. DOI: 10.1186/s13068-021-02006-9
Seyis, I., and Aksoz, N. (2003). “Determination of some physiological factors affecting xylanase production from Trichoderma harzianum 1073 D3,” The New Microbiologica 26(1), 75-81.
Shi, J., Thompson, V. S., Yancey, N. A., Stavila, V., Simmons, B. A., and Singh, S. (2013). “Impact of mixed feedstocks and feedstock densification on ionic liquid pretreatment efficiency,” Biofuels 4(1), 63-72. DOI: 10.4155/bfs.12.82
Sindhu, R., Pandey, A., and Binod, P. (2015). “Chapter 4. Alkaline Treatment,” in: Pretreatment of Biomass Processes and Technologies, A. Pandey (ed.), Elsevier, Boston, MA, USA, pp. 51-60. DOI: 10.1016/B978-0-12-800080-9.01001-X
Sukumaran, R. K., Christopher, M., Kooloth-Valappil, P., Sreeja-Raju, A., Mathew, R. M., Sankar, M., Puthiyamadam, A., Adarsh, V.-P., Aswathi, A., Rebinro, V., et al. (2021). “Addressing challenges in production of cellulases for biomass hydrolysis: Targeted interventions into the genetics of cellulase producing fungi,” Bioresource Technology 329, article ID 124746. DOI: 10.1016/j.biortech.2021.124746
Sunna, A., and Antranikian, G. (1997). “Xylanolytic enzymes from fungi and bacteria,” Critical Reviews in Biotechnology 17(1), 39-67. DOI: 10.3109/07388559709146606
Tan, S. X., Andriyana, A., Ong, H. C., Lim, S., Pang, Y. L., and Ngoh, G. C. (2022). “A comprehensive review on the emerging roles of nanofillers and plasticizers towards sustainable starch-based bioplastic fabrication,” Polymers 14(4), article 664. DOI: 10.3390/polym14040664
Tareen, A. K., Punsuvon, V., Sultan, I. N., Khan, M. W., and Parakulsuksatid, P. (2021). “Cellulase addition and pre-hydrolysis effect of high solid fed-batch simultaneous saccharification and ethanol fermentation from a combined pretreated oil palm trunk,” ACS Omega 6(40), 26119-26129. DOI: 10.1021/acsomega.1c03111
Thiex, N. (2009). “Evaluation of analytical methods for the determination of moisture,
crude protein, crude fat, and crude fiber in distillers dried grains with solubles,”
Journal of AOAC International 92(1), 61-73. DOI: 10.1093/jaoac/92.1.61
Thiex, N., Novotny, L., and Crawford, A. (2012). “Determination of ash in animal feed:
AOAC Official Method 942.05 revisited,” Journal of AOAC International 95(5),
1392-1397. DOI: 10.5740/jaoacint.12-129
Tumuluru, J. S. (2015). “Comparison of chemical composition and energy property of torrefied switchgrass and corn stover,” Frontiers in Energy Research 3, article 46. DOI: 10.3389/fenrg.2015.00046
Van Dyk, J. S., and Pletschke, B. I. (2012). “A review of lignocellulose bioconversion using enzymatic hydrolysis and synergistic cooperation between enzymes—Factors affecting enzymes, conversion and synergy,” Biotechnology Advances 30(6), 1458-1480. DOI: 10.1016/j.biotechadv.2012.03.002
Van Soest, P. J., and Wine, R. H. (1968). “Determination of lignin and cellulose in acid-detergent fiber with permanganate,” Journal of Association of Official Analytical Chemists 51(4), 780-785. DOI: 10.1093/jaoac/51.4.780
Wang, C., Lu, X., Gao, J., Li, X., and Zhao, J. (2018). “Xylo-oligosaccharides inhibit enzymatic hydrolysis by influencing enzymatic activity of cellulase from Penicillium oxalicum,” Energy and Fuels 32(9), 9427-9437. DOI: 10.1021/acs.energyfuels.8b01424
Wang, F., Shi, D., Han, J., Zhang, G., Jiang, X., Yang, M., Wu, Z., Fu, C., Li, Z., Xian, M., et al. (2020). “Comparative study on pretreatment processes for different utilization purposes of switchgrass,” ACS Omega 5(35), 21999-22007. DOI: 10.1021/acsomega.0c01047
Wang, Z., Wu, S., Fan, C., Zheng, X., Zhang, W., Wu, D., Wang, X., and Kong, H. (2021). “Optimisation of enzymatic saccharification of wheat straw pre-treated with sodium hydroxide,” Scientific Reports 11(1), article ID 23234. DOI: 10.1038/s41598-021-02693-2
Wasonga, D., Jang, C., Lee, J. W., Vittore, K., Arshad, M. U., Namoi, N., Zumpf, C., and Lee, D. (2025). “Estimating switchgrass biomass yield and lignocellulose composition from UAV-based indices,” Crops 5(1), article 3. DOI: 10.3390/crops5010003
Wen, Z., Liao, W., and Chen, S. (2005). “Production of cellulase/beta-glucosidase by the mixed fungi culture of Trichoderma reesei and Aspergillus phoenicis on dairy manure,” Applied Biochemistry and Biotechnology 121–124, 93-104.
Whitaker, J. R., Voragen, A. G. J., and Wong, D. W. S. (eds.). (2003). Handbook of Food Enzymology, Marcel Dekker, New York, NY, USA.
Wilson, D. B. (2009). “Cellulases and biofuels,” Current Opinion in Biotechnology 20(3), 295-299. DOI: 10.1016/j.copbio.2009.05.007
Wu, M., Wang, M., and Huo, H. (2006). Fuel-Cycle Assessment of Selected Bioethanol Production Pathways in the United States U.S. (ANL/ESD/06-7 2006 ), Department of Energy, Office of Energy Efficiency and Renewable Energy Oak Ridge, TN, USA.
Zhang, R., Gao, H., Wang, Y., He, B., Lu, J., Zhu, W., Peng, L., and Wang, Y. (2023). “Challenges and perspectives of green-like lignocellulose pretreatments selectable for low-cost biofuels and high-value bioproduction,” Bioresource Technology 369, article ID 128315. DOI: 10.1016/j.biortech.2022.128315
Zhang, Y. H. P., Ding, S. Y., Mielenz, J. R., Cui, J. B., Elander, R. T., Laser, M., Himmel, M. E., McMillan, J. R., and Lynd, L. R. (2007). “Fractionating recalcitrant lignocellulose at modest reaction conditions,” Biotechnology and Bioengineering 97(2), 214-223. DOI: 10.1002/bit.21386
Article submitted: March 2, 2025; Peer review completed: July 11, 2025; Revised version received: July 12, 2025; Accepted: July 14, 2025; Published: July 28, 2025.
DOI: 10.15376/biores.20.3.7672-7694