Use of NIR hyperspectral imaging and multivariate curve resolution (MCR) for detection and quantification of adulterants in milk powder

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• 作者：Dé ; bora A.P. Forchetti ; Ronei J. Poppi ; ^{ronei@iqm.unicamp.br}
• 关键词：Milk powder ; Adulterant ; Hyperspectral imaging ; Chemometrics ; Multivariate curve resolution
• 刊名：LWT - Food Science and Technology
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：76
• 期：part_PB
• 页码：337-343
• 全文大小：3108 K
• 卷排序：76

文摘

Detection and quantification of milk powder adulterants. Near infrared hyperspectral imaging and multivariate curve resolution. Adulterants: whey powder, starch, urea and melamine. MCR was able to recover the adulterant spectra providing its identification. Errors lower than 5 percentage points.