Detection of melamine in milk powders using near-infrared hyperspectral imaging combined with regression coefficient of partial least square regression model
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- 作者：Jongguk Lima ; Giyoung Kima ; Changyeun Moa ; Moon S. Kimb ; moon.kim@ars.usda.gov" class="auth_mail" title="E-mail the corresponding author ; Kuanglin Chaob ; Jianwei Qinb ; Xiaping Fuc ; Insuck Baekd ; Byoung-Kwan Chod
- 关键词：Hyperspectral imaging ; Milk powder adulteration ; Melamine ; Partial least square regression ; Regression coefficient
- 刊名：Talanta
- 出版年：2016
- 出版时间：1 May 2016
- 年：2016
- 卷：151
- 期：Complete
- 页码：183-191
- 全文大小：3314 K
文摘
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Melamine particles contained in milk powder were detected by NIR hyperspectral imaging.
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Regression coefficient values were used to reconstruct the PLS images.
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PLS images were used to discriminate the melamine pixels from milk powder pixels.
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Melamine particles at 200 ppm in milk powder were confirmed without pretreatment.