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产赭曲霉毒素的赭曲霉和疣孢青霉分离株的生态生理学。预防真菌腐败的预测模型——综述。

Ecophysiology of ochratoxigenic Aspergillus ochraceus and Penicillium verrucosum isolates. Predictive models for fungal spoilage prevention - a review.

作者信息

Pardo E, Marín S, Ramos A J, Sanchis V

机构信息

Food Technology Department, Lleida University, CeRTA-UTPV, Lleida, Spain.

出版信息

Food Addit Contam. 2006 Apr;23(4):398-410. doi: 10.1080/02652030500376102.

Abstract

Ochratoxin A (OTA) is a secondary metabolite produced by several species of Aspergillus and Penicillium; among them Aspergillus ochraceus and Penicillium verrucosum are two ochratoxigenic species capable of growing in different climates and thus contamination of food crops with OTA can occur worldwide. OTA can be found in a wide range of foods such as cereals, coffee, cocoa, spices, beer, wine, dried vine fruit, grapes and meat products. OTA is toxic to animals, it presents neurotoxic, immunotoxic and nephrotoxic effects. It has been implicated in a human kidney disorder known as Balkan Endemic Nephropathy. This review focuses on the ecophysiology of ochratoxin-producing Aspergillus ochraceus and Penicillium verrucosum, the effect of environmental factors on their germination, mycelial growth, and OTA production. Knowledge of environmental conditions required for sucessive stages of fungal development represent the first step towards preventing mycotoxin formation. Predictive models for different stages of fungal development are presented, which allow prediction of the time before spoilage as a function of the abiotic factors. Finally, the implications of these studies in management of barley, coffee and grapes are described. This can help to identify the critical control points in their production, storage and distribution processes.

摘要

赭曲霉毒素A(OTA)是由几种曲霉属和青霉属真菌产生的次生代谢产物;其中,赭曲霉和疣孢青霉是两种能够在不同气候条件下生长的产赭曲霉毒素真菌,因此全球范围内的粮食作物都可能被OTA污染。OTA存在于多种食品中,如谷物、咖啡、可可、香料、啤酒、葡萄酒、葡萄干、葡萄和肉类产品。OTA对动物有毒,具有神经毒性、免疫毒性和肾毒性作用。它与一种称为巴尔干地方性肾病的人类肾脏疾病有关。本综述重点关注产赭曲霉毒素的赭曲霉和疣孢青霉的生态生理学,以及环境因素对它们的萌发、菌丝生长和OTA产生的影响。了解真菌发育连续阶段所需的环境条件是预防霉菌毒素形成的第一步。文中给出了真菌发育不同阶段的预测模型,这些模型可以根据非生物因素预测食品变质前的时间。最后,描述了这些研究在大麦、咖啡和葡萄管理方面的意义。这有助于确定它们生产、储存和分销过程中的关键控制点。

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