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首页> 外文会议>Sensing for Agriculture and Food Quality and Safety VII >Screening of Adulterants in Powdered Foods and Ingredients using Line-Scan Raman Chemical Imaging
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Screening of Adulterants in Powdered Foods and Ingredients using Line-Scan Raman Chemical Imaging

机译：使用Line-Scan拉曼化学成像技术筛选粉末状食品和成分中的掺假物

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A newly developed line-scan Raman imaging system using a 785 nm line laser was used to authenticate powdered foods and ingredients. The system was used to collect hyperspectral Raman images in a wavenumber range of 102-2865 cm~(-1) from three representative food powders mixed with selected adulterants with a concentration of 0.5%, including milk and melamine, flour and benzoyl peroxide, and starch and maleic anhydride. An acoustic mixer was used to create food-adulterant mixtures. All the mixed samples were placed in sample holders with a surface area of 50 mm×50 mm. Spectral and image processing algorithms were developed based on single-band images at unique Raman peaks of the individual adulterants. Chemical images were created to show identification, spatial distribution, and morphological features of the adulterant particles mixed in the food powders. The potential of estimating mass concentrations of the adulterants using the percentages of the adulterant pixels in the chemical images was also demonstrated.
机译：使用785 nm线激光的新开发的线扫描拉曼成像系统用于鉴定粉末状食品和配料。该系统用于从三种代表性食品粉中掺入浓度为0.5％的选定掺假物，包括牛奶和三聚氰胺，面粉和过氧化苯甲酰，并在波数范围为102-2865 cm〜（-1）的高光谱拉曼图像中进行采集，以及淀粉和马来酸酐。使用声波混合器产生食品添加剂混合物。将所有混合样品置于表面积为50mm×50mm的样品架中。光谱和图像处理算法是基于在单个掺假物的独特拉曼峰处的单波段图像开发的。创建化学图像以显示混合在食品粉中的掺假颗粒的识别，空间分布和形态特征。还展示了使用化学图像中掺假像素的百分比估算掺假剂质量浓度的潜力。

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