首页> 美国卫生研究院文献>Toxins >OTA-Grapes: A Mechanistic Model to Predict Ochratoxin A Risk in Grapes a Step beyond the Systems Approach
【2h】

OTA-Grapes: A Mechanistic Model to Predict Ochratoxin A Risk in Grapes a Step beyond the Systems Approach

机译:OTA-Grapes:一种预测葡萄中O曲毒素A风险的机制模型这是系统方法之外的一步

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Ochratoxin A (OTA) is a fungal metabolite dangerous for human and animal health due to its nephrotoxic, immunotoxic, mutagenic, teratogenic and carcinogenic effects, classified by the International Agency for Research on Cancer in group 2B, possible human carcinogen. This toxin has been stated as a wine contaminant since 1996. The aim of this study was to develop a conceptual model for the dynamic simulation of the A. carbonarius life cycle in grapes along the growing season, including OTA production in berries. Functions describing the role of weather parameters in each step of the infection cycle were developed and organized in a prototype model called OTA-grapes. Modelling the influence of temperature on OTA production, it emerged that fungal strains can be shared in two different clusters, based on the dynamic of OTA production and according to the optimal temperature. Therefore, two functions were developed, and based on statistical data analysis, it was assumed that the two types of strains contribute equally to the population. Model validation was not possible because of poor OTA contamination data, but relevant differences in OTA-I, the output index of the model, were noticed between low and high risk areas. To our knowledge, this is the first attempt to assess/model A. carbonarius in order to predict the risk of OTA contamination in grapes.
机译:ch曲霉毒素A(OTA)是一种真菌代谢产物,由于其具有肾毒性,免疫毒性,诱变性,致畸性和致癌作用,因此对人类和动物健康具有危险性。国际癌症研究机构将其归类为2B类,可能是人类致癌物。自1996年以来,这种毒素就被认为是葡萄酒的污染物。本研究的目的是建立一个概念模型,用于动态模拟葡萄在整个生长季节中碳假单胞菌的生命周期,包括浆果中OTA的产生。在称为OTA-grapes的原型模型中开发并组织了描述天气参数在感染周期每个步骤中作用的功能。对温度对OTA产生的影响进行建模,结果表明,基于OTA产生的动态和最佳温度,真菌菌株可以在两个不同的簇中共享。因此,开发了两种功能,并基于统计数据分析,假定两种类型的菌株对种群的贡献相同。由于较差的OTA污染数据而无法进行模型验证,但是在低风险区域和高风险区域之间注意到了OTA-I(模型的输出指标)的相关差异。据我们所知,这是首次评估/模拟碳假单胞菌以预测葡萄中OTA污染的风险。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号