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Detection and identification of wild yeast contaminants of the industrial fuel ethanol fermentation process.

机译:工业燃料乙醇发酵过程中野生酵母污染物的检测和鉴定。

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Monitoring for wild yeast contaminants is an essential component of the management of the industrial fuel ethanol manufacturing process. Here we describe the isolation and molecular identification of 24 yeast species present in bioethanol distilleries in northeast Brazil that use sugar cane juice or cane molasses as feeding substrate. Most of the yeast species could be identified readily from their unique amplification-specific polymerase chain reaction (PCR) fingerprint. Yeast of the species Dekkera bruxellensis, Candida tropicalis, Pichia galeiformis, as well as a species of Candida that belongs to the C. intermedia clade, were found to be involved in acute contamination episodes; the remaining 20 species were classified as adventitious. Additional physiologic data confirmed that the presence of these major contaminants cause decreased bioethanol yield. We conclude that PCR fingerprinting can be used in an industrial setting to monitor yeast population dynamics to early identify the presence of the most important contaminant yeasts.
机译:监测野生酵母污染物是工业燃料乙醇生产过程管理的重要组成部分。在这里,我们描述了巴西东北部生物乙醇酿酒厂中存在的24种酵母菌的分离和分子鉴定,这些酿酒厂使用甘蔗汁或甘蔗糖蜜作为饲料底物。大多数酵母种类可以通过其独特的扩增特异性聚合酶链反应(PCR)指纹轻松识别。发现勃氏德克斯菌,热带假丝酵母,加利福毕赤酵母的酵母,以及属于中间隐孢子虫的假丝酵母都参与了急性污染事件。其余20种归为不定种。其他生理数据证实,这些主要污染物的存在导致生物乙醇产量下降。我们得出的结论是,PCR指纹图谱可用于工业环境,以监测酵母菌种群动态,以及早发现最重要的污染酵母菌的存在。

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