ArticleBiotechnology for biofuels2019
Statistical prediction of interactions between low concentrations of inhibitors on yeast cells responses added to the SD-medium at low pH values.
Article in Biotechnology for biofuels, 2019. 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.
- Identifying Variables Influencing Traditional Food Solid-State Fermentation by Statistical Modeling.Foods (Basel, Switzerland) · 2024Article
- A LignocellulolyticJournal of fungi (Basel, Switzerland) · 2021Article
- Optimization of oxalic acid pre-treatment and enzymatic saccharification in Typha latifolia for production of reducing sugar.Journal, genetic engineering & biotechnology · 2020Article
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4 authors.
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Abstract
backgroundIn the present work, the main inhibitors of the yeast cells (vanillin, furfural, formic, and levulinic acid) were generated by pretreatments or hydrolysis (sulfuric acid or enzymes) to convert reducing sugars into ethanol. Inhibitors were added at increasing concentrations to the SD-medium containing yeast extract while negative effects on yeast cells were observed. Statistical analyses were applied to predict and interpret results related to biomass production.
resultsInhibitors affected productivities and yields of biomass and ethanol when added to SD-medium. Based on the 2
conclusionsStatistical analysis is an extremely useful tool for predicting data during process monitoring, while re-adjustments of conditions can be performed, whenever necessary. In addition, the development of new strains of yeast with high tolerance to biomass inhibitors will have a major impact on the production of second-generation ethanol. Increases in fermentation activity of the yeast
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