首页> 外文期刊>Trends in Food Science & Technology >Data mining derived from food analyses using non-invasiveon-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines
【24h】

Data mining derived from food analyses using non-invasiveon-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines

机译:使用无创/无损分析技术从食品分析中获取数据;与计算机科学学科一起确定食品的真实性,质量和安全性

获取原文
获取原文并翻译 | 示例
       

摘要

Background: Food quality, safety and authenticity are important issues for consumers, governments, as well as the food industry. In the last decade, several researchers have attempted to go beyond traditional microbiological, DNA-based and other methods using rapid techniques. This broad term involves a variety of sensors such as hyperspectral and multispectral imaging, vibrational spectroscopy, as well as biomimetic receptors.
机译:背景:食品质量,安全性和真实性对消费者,政府和食品行业来说都是重要的问题。在过去的十年中,一些研究人员尝试使用快速技术超越传统的微生物学,基于DNA的方法和其他方法。这个广义术语涉及各种传感器,例如高光谱和多光谱成像,振动光谱以及仿生受体。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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