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投稿时间:2015-01-13
投稿时间:2015-01-13
中文摘要: 利用非线性化学指纹图谱、色谱、质谱、酶联免疫、近红外、色谱-质谱联用等技术对调味品、饮料、啤酒大麦、蜂 蜜、羊奶与牛奶等食品掺假进行检测和鉴别,通过比较,非线性化学指纹图谱技术是一种对样本进行整体分析或综合分 析的一种新方法,拥有操作简单,无需样本处理和重现性好等优点。
Abstract:In this paper, the nonlinear chemical fingerprint technology, chromatography, mass spectrometry, enzyme-linked immune, near infrared, chromatography-mass spectrometry technology were used to detect and identify adulteration in food, such as beverages, beer barley, honey, goat milk and cow milk. In contrast, nonlinear chemical fingerprint technology is a kind of new method based on holistic analysis or comprehensive analysis, and it possesses many advantages, such as simple operation, without sample pretreatment, good reproducibility and so on.
keywords: nonlinear chemical fingerprint food detection identify
文章编号:201601049 中图分类号: 文献标志码:A
基金项目:“十二五” 农村领域国家科技计划课题(2012BAD12B07); 陕西省科技统筹创新工程计划项目(2011KTCQ03-08);陕西省教育 厅服务地方专项计划项目(15JF009)
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