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Starch saccharification and fermentation of uncooked sweet potato roots for fuel ethanol production

pmid: 23219688
An energy-saving ethanol fermentation technology was developed using uncooked fresh sweet potato as raw material. A mutant strain of Aspergillus niger isolated from mildewed sweet potato was used to produce abundant raw starch saccharification enzymes for treating uncooked sweet potato storage roots. The viscosity of the fermentation paste of uncooked sweet potato roots was lower than that of the cooked roots. The ethanol fermentation was carried out by Zymomonas mobilis, and 14.4 g of ethanol (87.2% of the theoretical yield) was produced from 100g of fresh sweet potato storage roots. Based on this method, an energy-saving, high efficient and environment-friendly technology can be developed for large-scale production of fuel ethanol from sweet potato roots.
- Jiangsu Normal University China (People's Republic of)
- Macau University of Science and Technology Macao
- Jiangxi Normal University China (People's Republic of)
- Civil Aviation Authority of Singapore Singapore
- Macau University of Science and Technology Macao
Zymomonas, Ethanol, Carbohydrates, Starch, Plant Roots, Biofuels, Fermentation, Aspergillus niger, Cooking, Ipomoea batatas
Zymomonas, Ethanol, Carbohydrates, Starch, Plant Roots, Biofuels, Fermentation, Aspergillus niger, Cooking, Ipomoea batatas
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).36 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
