Identification of cow milk in goat milk by nonlinear chemical fingerprint technique

Yong-Jie Ma; Wen-Bin Dong; Cheng Fan; Er-Dan Wang

doi:10.1016/j.jfda.2017.05.008

Identification of cow milk in goat milk by nonlinear chemical fingerprint technique

J Food Drug Anal. 2017 Oct;25(4):751-758. doi: 10.1016/j.jfda.2017.05.008. Epub 2017 Jun 15.

Authors

Yong-Jie Ma^{1

2}, Wen-Bin Dong², Cheng Fan³, Er-Dan Wang⁴

Affiliations

¹ College of Food and Drug, Luoyang Normal University, Luoyang 471934, China.
² College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
³ Institute of Product Quality Supervision and Inspection, Shaanxi Province, Xi'an 710048, China.
⁴ College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.

Abstract

The objective of this paper was to develop a nonlinear chemical fingerprint technique for identifying and detecting adulteration of goat milk with cow milk. In this study, by taking the Belousov-Zhabotinsky oscillatory chemical reaction using acetone and substrates in goat milk or cow milk as main dissipative substances, when the same dosage of goat milk and cow milk was introduced to the "H⁺ + Mn²⁺ + BrO₃^- + acetone" oscillating system respectively, nonlinear chemical fingerprints were obtained for goat milk and cow milk from the same origin. The results showed that inductive time value and the content of cow milk in goat milk had a linear relationship in the range of 0-100% and the corresponding regression coefficient was 0.9991. A detection limit of 0.0107 g/g was obtained, and the content of cow milk in mixed milk was calculated. The proposed method in this study was simple, economical and effective. In addition, the method did not need the pretreatment and separation of samples for identifying and evaluating cow milk adulteration in goat milk.

Keywords: Adulteration; Cow milk; Goat milk; Nonlinear chemical fingerprint.

Publication types

Evaluation Study

MeSH terms

Animals
Cattle
Chemistry Techniques, Analytical / methods*
Discriminant Analysis
Female
Food Contamination / analysis*
Goats
Limit of Detection
Milk / chemistry*

Grants and funding

This research was supported by National Science & Technology Program the Twelfth Five-year Plan Period in rural areas of China (Project No. 2012BAD12B07) and Projects of Science and Technology Coordinating Innovative Engineering in Shaanxi Province of China (Project No. 2011KTCQ03-08).