Karunathilaka Sanjeewa R, Farris Samantha, Mossoba Magdi M, Moore Jeffrey C, Yakes Betsy Jean
a US Food and Drug Administration (USFDA), Center for Food Safety and Applied Nutrition, Office of Regulatory Science , College Park , MD , USA.
b US Pharmacopeial Convention , Rockville , MD , USA.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2016 Jun;33(6):921-32. doi: 10.1080/19440049.2016.1188437. Epub 2016 Jun 1.
There is a need to develop rapid tools to screen milk products for economically motivated adulteration. An understanding of the physiochemical variability within skim milk powder (SMP) and non-fat dry milk (NFDM) is the key to establishing the natural differences of these commodities prior to the development of non-targeted detection methods. This study explored the sources of variance in 71 commercial SMP and NFDM samples using Raman spectroscopy and principal component analysis (PCA) and characterised the largest number of commercial milk powders acquired from a broad number of international manufacturers. Spectral pre-processing using a gap-segment derivative transformation (gap size = 5, segment width = 9, fourth derivative) in combination with sample normalisation was necessary to reduce the fluorescence background of the milk powder samples. PC scores plots revealed no clear trends for various parameters, including day of analysis, powder type, supplier and processing temperatures, while the largest variance was due to irreproducibility in sample positioning. Significant chemical sources of variances were explained by using the spectral features in the PC loadings plots where four samples from the same manufacturer were determined to likely contain an additional component or lactose anomers, and one additional sample was identified as an outlier and likely containing an adulterant or differing quality components. The variance study discussed herein with this large, diverse set of milk powders holds promise for future use as a non-targeted screening method that could be applied to commercial milk powders.
需要开发快速工具来筛查乳制品是否存在经济动机的掺假情况。了解脱脂奶粉(SMP)和非脂干奶粉(NFDM)的物理化学变异性是在开发非靶向检测方法之前确定这些商品自然差异的关键。本研究使用拉曼光谱和主成分分析(PCA)探索了71个商业SMP和NFDM样品的变异来源,并对从众多国际制造商处获得的数量最多的商业奶粉进行了表征。使用间隙段导数变换(间隙大小 = 5,段宽 = 9,四阶导数)结合样品归一化进行光谱预处理,对于降低奶粉样品的荧光背景是必要的。主成分得分图显示,对于各种参数,包括分析日期、粉末类型、供应商和加工温度,没有明显趋势,而最大的变异是由于样品定位的不可重复性。通过使用主成分载荷图中的光谱特征解释了显著的化学变异来源,其中来自同一制造商的四个样品被确定可能含有额外成分或乳糖异头物,另外一个样品被鉴定为异常值,可能含有掺假物或不同质量的成分。本文中对这一大批多样的奶粉进行的变异研究有望在未来用作可应用于商业奶粉的非靶向筛查方法。