2023
DOI: 10.3390/fermentation9080709
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Bioethanol Production Based on Saccharomyces cerevisiae: Opportunities and Challenges

Abstract: The large consumption of non-renewable fossil fuels has brought about energy depletion and environmental pollution, spawning the production of renewable biofuels, an important alternative to alleviate the energy crisis effectively. As one of the ideal types of biofuel, bioethanol synthesis in Saccharomyces cerevisiae has attracted much attention. S. cerevisiae has been developed as essential chassis cells with high efficiency for bioethanol synthesis on account of many advantages. This study systematically sum… Show more

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Cited by 11 publications
(2 citation statements)
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“…Several organisms, including yeast strains, bacteria, and fungi, have been subjected to metabolic engineering to achieve objectives like efficient and broad substrate utilization, ethanol and inhibitor tolerance, etc. The achievements and advancements made in the last decade in this respect have been critically analysed and are summarized in Table 1 [30][31][32][33][34][35][36][37][38][39]. Table 1.…”
Section: Metabolic and Evolutionary Engineeringmentioning
confidence: 99%
See 1 more Smart Citation
“…Several organisms, including yeast strains, bacteria, and fungi, have been subjected to metabolic engineering to achieve objectives like efficient and broad substrate utilization, ethanol and inhibitor tolerance, etc. The achievements and advancements made in the last decade in this respect have been critically analysed and are summarized in Table 1 [30][31][32][33][34][35][36][37][38][39]. Table 1.…”
Section: Metabolic and Evolutionary Engineeringmentioning
confidence: 99%
“…Metabolic engineering to broaden substrate range, remove competing pathways, and enhance tolerance to ethanol and lignocellulosic hydrolysate inhibitors [33] S. cerevisiae Mining and identification of regulatory elements of bioethanol synthesis pathways, such as non-coding RNAs [34] S. cerevisiae Genetic engineering, heterologous expression of cellulase genes, xylose transporters, knock-out, and the overexpression of key genes and promoters may be closely related to bioethanol yield [35] S. cerevisiae Direction design optimization based on machine learning can effectively regulate the pretreatment parameters [36] S. cerevisiae Improving ethanol yield via the addition of quorum-sensing molecules that deter growth of S. cerevisiae cells [37] Saccharomyces cerevisiae, Pichia stipitis Metabolic engineering for enhanced bioethanol production [38] S. cerevisiae extract Constructing a cell-free system using Synthetic Biology tools [39] Yarrowia lipolytica Overexpression of Diacylglycerol acyltransferases the I (DGA) gene(s) to promote lipid accumulation [40] Rhodosporidium toruloides…”
Section: Organismmentioning
confidence: 99%