LAPSE:2019.0634
Published Article
LAPSE:2019.0634
Study on Mass Transfer Kinetics of Sugar Extraction from Sweet Sorghum Biomass via Diffusion Process and Ethanol Yield Using SSF
Nana Baah Appiah-Nkansah, Jun Li, Ke Zhang, Meng Zhang, Donghai Wang
July 17, 2019
Sweet sorghum juice, a potential bioethanol feedstock, can be incorporated into the dry-grind ethanol process to improve sugar utilization efficiency, thereby enhancing ethanol yields. The juice is normally obtained by pressing the stalk through roller mills in tandem. Juice extraction by this process is known to be labor intensive, less efficient, and susceptible to considerable fermentable sugar loss due to microbial activities when stored at room temperature. Sweet sorghum juice extraction via diffusion has recently been proposed to improve sugar recovery efficiency. In this study, extraction kinetics based on the optimized diffusion parameters (8% grain loading, 85 °C, and 120 min) were determined to describe the mass transfer of sugars in sweet sorghum biomass during the diffusion process. Diffusion parameters obtained from previous studies were used to extract free sugars and convert them into ethanol using granular starch hydrolyzing enzymes (GSHE) and traditional enzymes. Ethanol yields at 72 h of fermentation mashes treated with GSHE and those with traditional enzymes were comparable (14.49−14.56%, v/v). Ethanol fermentation efficiencies also ranged from 88.92−92.02%.
Keywords
bioethanol, diffusion, ethanol fermentation, kinetic model, mass transfer, sweet sorghum juice
Subject
Suggested Citation
Baah Appiah-Nkansah N, Li J, Zhang K, Zhang M, Wang D. Study on Mass Transfer Kinetics of Sugar Extraction from Sweet Sorghum Biomass via Diffusion Process and Ethanol Yield Using SSF. (2019). LAPSE:2019.0634
Author Affiliations
Baah Appiah-Nkansah N: Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, USA
Li J: Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, USA [ORCID]
Zhang K: Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, USA
Zhang M: Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA [ORCID]
Wang D: Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, USA
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Journal Name
Processes
Volume
7
Issue
3
Article Number
E137
Year
2019
Publication Date
2019-03-05
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7030137, Publication Type: Journal Article
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LAPSE:2019.0634
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doi:10.3390/pr7030137
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Jul 17, 2019
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CC BY 4.0
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Jul 17, 2019
 
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Calvin Tsay
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