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Screening of Adulterants in Powdered Foods and Ingredients using Line-Scan Raman Chemical Imaging

机译：使用线扫描拉曼化学成像筛选粉末食品和成分的掺杂剂

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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线激光器的新开发的线路扫描拉曼成像系统用于验证粉末食品和成分。该系统用于从与浓度为0.5％，包括牛奶和三聚氰胺，面粉和过氧化苯甲酰基的三种代表性食物粉末，从三个代表性食物粉末中收集高光上的拉曼图像。淀粉和马来酸酐。用于产生食物掺杂剂混合物的声学混合器。将所有混合样品置于具有50mm×50mm的表面积的样品支架中。基于单个掺杂剂的独特拉曼峰的单带图像开发光谱和图像处理算法。产生化学图像以显示在食物粉末中混合的掺假颗粒的鉴定，空间分布和形态学特征。还证明了使用化学图像中的掺假像素百分比估计掺假剂的质量浓度的电位。

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