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Author: search.filters.author.Poeaim, SupattraSubject: search.filters.subject.Lignocellulose bioconversion

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    Multi-objective optimization of lignocellulolytic enzyme cocktail production from Pseudolagarobasidium acaciicola TDW-48 by artificial neural network-genetic algorithm (ANN-GA) strategy and its application in lignocellulose waste bioconversion
    (2025-03-01)
    Luong, Thi Thu Huong
    ;
    Poeaim, Supattra
    A massive amount of lignocellulose waste is generated annually, causing many environmental concerns. The bioconversion of these wastes into value-added products by the lignocellulolytic enzymes (LCE) is one of the effective and environmental approaches. However, the use of LCE has not been extended due to high costs. This study aimed to enhance the yield of crude LCE cocktail production from Pseudolagarobasidium acaciicola TDW-48 by optimizing cultural conditions using statistical tools. Firstly, the effect of cultural factors on LCE production was identified through the Plackett-Buman design. Then, the artificial neural network-genetic algorithm (ANN-GA) strategy was applied to optimize the significant factors. The result shows that the production of carboxymethyl cellulase (CMCase), xylanase, and laccase responded differently to cultural conditions. Among these, five factors (incubation time, water content, medium pH, glucose, and CuSO<inf>4</inf> concentration) were identified to have significant effects on enzyme activities. The ANN-GA optimization with a neuron network architecture (5-23-3) successfully modeled the crude LCE cocktail production, where the R-value achieved 0.98369 for the total dataset. A set of optimum conditions was proposed with an incubation time of 8 days, 72.6% water content, medium pH at 2.97, 0.5% glucose, and 0.53 g/L of CuSO<inf>4</inf>. With the above conditions, P. acaciicola TDW-48 could produce 23.97 U/g of CMCase, 26.02 U/g of xylanase, and 139.11 U/g of laccase, which enhanced 14.4%, 8.7%, and 405% activity, respectively, compared with non-optimization. In addition, the P. acaciicola TDW-48’s crude LCE cocktail performed a high bioconversion efficiency on lignocellulose waste, the reducing sugar yield achieved 327.29 mg/g on rice straw, 308.02 mg/g on rice husk, and 312.29 mg/g on corn stover after 8-h incubation. These results provided a highly effective approach for LCE production with multi-objective optimization based on an artificial intelligence platform and supported the reuse of lignocellulose waste toward the eco-friendly strategy.
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    Isolation, screening wood rot fungi from the tropical forest of Thailand and their lignocellulolytic enzyme production under solid-state fermentation using agricultural waste as substrate
    (2025-01-01)
    Luong, Thi Thu Huong
    ;
    Silar, Philippe
    ;
    Poeaim, Supattra
    ;
    Tangthirasunun, Narumon
    The present study aimed to discover good lignocellulolytic enzyme (LCE) producers from Thailand’s tropical forest and then examine their multiple LCE production (including carboxymethyl cellulase (CMCase), xylanase, and laccase) using agricultural wastes as substrate. The total collection was 50 fungi, mainly from the Polyporales, Agaricales, and Xylariales orders. During primary screening by qualitative method and secondary screening by quantitative method, two potential fungi were proposed for multiple LCE production, including Auricularia auricula-judae 088 and Pseudolagarobasidium acaciicola TDW-48. Under solid-state fermentation (SSF) using agricultural wastes as substrates, P. acaciicola TDW-48 performed as a good producer that highly secreted simultaneous CMCase, xylanase, and laccase. In the next stage, the simplex lattice mixture design assessed the interaction of agricultural waste substrates and their effects on P. acaciicola TDW-48’s enzyme production. The results indicated that agricultural waste has different influences on CMCase, xylanase, and laccase production: orange peel showed a positive effect on both CMCase and xylanase activity, but a negative effect on laccase. In contrast, wheat bran positively influenced laccase, while it limited CMCase and xylanase. However, the combination of these substrates in the mixture showed synergic effects and improved enzyme activity. Through numerical optimization, a ternary mixture of wheat bran (1.27 g), orange peel (1.53 g), and rice husk (0.2 g) was identified as the most appropriate formulation for simultaneous multiple LCE production, reaching 20.96 U/g substrate for CMCase, 23.94 U/g substrate for xylanase, and 27.55 U/g substrate for laccase. These results provided a promising candidate for LCE production with high applicability in lignocellulose bioconversion and successfully demonstrated the relationship between the agricultural waste substrate and multiple LCE production that supported the enzyme production following the environmentally friendly and economical approach.