Presentation Information
[P02-270]Modelling of xylose production process via diluted acid hydrolysis of corn cobs for utilization as a low-cost fermentation substrate
○Seunghee Kim1, Soeun Shin1, Minji Kim1, Kyung Min Lee2, Sung Ok Han3, Chulhwan Park4, Hah Young Yoo1 (1. Department of Biotechnology, Sangmyung University, Seoul 03016, Republic of Korea (Korea), 2. Technology R&D Center, ICBIO, 40, Imi-Ro, Uiwang-Si, Gyeonggi-Do 16006, Republic of Korea (Korea), 3. Institute of Life Science and Natural Resources, Korea University, Seoul 02841, Republic of Korea (Korea), 4. Department of Chemical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea (Korea))
Keywords:
Corn cob,Diluted acid hydrolysis,Xylose,Optimization
Corn cobs are a globally abundant and inexpensive biomass and are well known as a suitable feedstock for xylose production due to their rich hemicellulose content. The production of xylose from corn cobs requires a diluted acid hydrolysis (DAH), and the xylose rich hydrolysate has potential as a low-cost microbial fermentation substrate. In this study, the DAH process for corn cobs was optimized and developed based on response surface methodology (RSM) and artificial neural networks (ANN). As a result, the optimal conditions derived via the RSM model were a reaction time of 38.7 min, 0.69% H2SO4, and a particle size of 290 µm, with the xylose concentration confirmed to be 26.88 g/L. Meanwhile, the optimal conditions derived via the ANN model were a reaction time of 50 min, 0.75% H2SO4, and a particle size of 234 µm, with the xylose concentration confirmed to be 29.22 g/L. The ANN model showed higher predictive performance and higher xylose yield than the RSM model. ANN based corn cob hydrolysate contained fermentation inhibitors, including acetic acid, formic acid, HMF, and furfural, which were removed via liquid-liquid extraction at rates of 74.92%, 100%, 100%, and 100%, respectively. As a follow-up study, the hydrolysate will be intended for utilization in the production of high-value compounds such as bacterial cellulose and antibiotic precursors.
Corresponding Author Email: y2h2000@smu.ac.kr
Corresponding Author Email: y2h2000@smu.ac.kr
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