| Literature DB >> 25442551 |
Jing Liu1, Jing Ren2, Zhen-Min Liu1, Ben-Heng Guo3.
Abstract
This paper proposes a new comprehensive index, called Q, which can effectively discriminate artificial adulterated milk from unadulterated milk. Both normal and adulterated samples of bovine raw milk were analysed by Fourier transform infrared spectroscopic instrument to measure the traditional indices of quality, including fat (FAT), protein (PRO), lactose (LAC), total solids (TS), non-fat solid (NFS), freezing point (FP) and somatic cell counts (SCC). From these traditional indices, this paper elaborates a method to build the index Q. First, correlated analysis and principle component analysis were used to select parameter pairs TS-FAT and FP-LAC as predominant variables. Second, linear-regression analysis and residual analysis are applied to determine the index Q and its discriminating ranges. The verification and two-blind trial results suggested that index Q could accurately detect milk adulteration with maltodextrin and water (as low as 1.0% of adulteration proportions), and with other nine kinds of synthetic adulterants (as low as 0.5% of adulteration proportions).Entities:
Keywords: Adulteration; Index; Multivariate analysis; Raw milk
Mesh:
Year: 2014 PMID: 25442551 DOI: 10.1016/j.foodchem.2014.09.063
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514