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由微生物表型和人工神经网络定义的发酵食品原产地注册标识

Registered designation of origin areas of fermented food products defined by microbial phenotypes and artificial neural networks.

作者信息

Lopes M F, Pereira C I, Rodrigues F M, Martins M P, Mimoso M C, Barros T C, Figueiredo Marques J J, Tenreiro R P, Almeida J S, Barreto Crespo M T

机构信息

Instituto de Biologia Experimental e Tecnológica, 2781-901 Oeiras, Portugal.

出版信息

Appl Environ Microbiol. 1999 Oct;65(10):4484-9. doi: 10.1128/AEM.65.10.4484-4489.1999.

Abstract

Cheese produced from raw ewes' milk and chouriço, a Portuguese dry fermented sausage, are still produced in a traditional way in certain regions of Portugal by relying on colonization by microbial populations associated with the raw materials, equipment, and local environments. For the purpose of describing the product origins and types of these fermented foods, metabolic phenotypes can be used as descriptors of the product as well as to determine the presence of compounds with organoleptic value. The application of artificial neural networks to the metabolic profiles of bacterial isolates was assayed and allowed the separation of products from different regions. This method could then be used for the Registered Designation of Origin certification process of food products. Therefore, besides test panel results for these traditionally produced food products, another tool for validating products for the marketplace is available to the producers. The method can be improved for the detection of counterfeit products.

摘要

用生羊奶制作的奶酪以及葡萄牙干发酵香肠——乔里索香肠,在葡萄牙的某些地区仍以传统方式生产,依靠与原材料、设备和当地环境相关的微生物群体进行发酵。为了描述这些发酵食品的产品来源和类型,代谢表型可用作产品的描述符,也可用于确定具有感官价值的化合物的存在。对细菌分离株的代谢谱应用人工神经网络进行了分析,结果能够区分不同地区的产品。该方法随后可用于食品的原产地认证过程。因此,除了这些传统生产食品的感官评价小组结果外,生产者还拥有了另一种用于市场产品验证的工具。该方法可改进用于检测假冒产品。

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