| Literature DB >> 27167451 |
Sanjeewa R Karunathilaka1, Samantha Farris1, Magdi M Mossoba1, Jeffrey C Moore2, Betsy Jean Yakes1.
Abstract
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.Entities:
Keywords: PCA; Raman spectroscopy; Skim milk powder (SMP); authentication; chemometrics; non-fat dry milk (NFDM); variance
Mesh:
Year: 2016 PMID: 27167451 PMCID: PMC4918629 DOI: 10.1080/19440049.2016.1188437
Source DB: PubMed Journal: Food Addit Contam Part A Chem Anal Control Expo Risk Assess ISSN: 1944-0057