ArticleRSC advances2022
Determination of ethanol content during simultaneous saccharification and fermentation (SSF) of cassava based on a colorimetric sensor technique.
Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- Fermentation of Persimmon Leaves Extract by Lactiplantibacillus plantarum and Saccharomyces cerevisiae.Molecular biotechnology · 2025Article
- Fermentation design and process optimization strategy based on machine learning.Biodesign research · 2025Review
- Determination of procymidone residues in rapeseed oil based on olfactory visualization technology.Food chemistry: X · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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Abstract
Ethanol content is an important indicator reflecting the yield of simultaneous saccharification and fermentation (SSF) of cassava. This study proposes an innovative method based on a colorimetric sensor technique to determine the ethanol content during the SSF of cassava. First, 14 kinds of porphyrin material and one kind of pH indicator were used to form a colorimetric sensor array for collecting odor data during the SSF of cassava. Then, the ant colony algorithm (ACO) and the simulated annealing algorithm (SA) were used to optimize and reconstruct the input color feature components of the support vector regression (SVR) model. The differential evolution algorithm (DE) was used to optimize the penalty factor (
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