Rapid detection and quantification of milk adulteration using infrared microspectroscopy and chemometrics analysis

Author(s)

Santos, P. M. ^{[1, 2]} ; Pereira-Filho, E. R. ^[1] ; Rodriguez-Saona, L. E. ^[2]

Affiliation

^[1] Univ Fed Sao Carlos, Dept Chem, BR-13560 Sao Carlos, SP - Brazil

^[2] Ohio State Univ, Dept Food Sci & Technol, Columbus, OH 43210 - USA

• Document type: Journal article
• Source: Food Chemistry; v. 138, n. 1, p. 19-24, MAY 1 2013.
• Web of Science Citations: 110

Abstract

The application of attenuated total reflectance mid-infrared microspectroscopy (MIR-microspectroscopy) was evaluated as a rapid method for detection and quantification of milk adulteration. Milk samples were purchased from local grocery stores (Columbus, OH, USA) and spiked at different concentrations of whey, hydrogen peroxide, synthetic urine, urea and synthetic milk. Samples were place on a 192-well microarray slide, air-dried and spectra were collected by using MIR-microspectroscopy. Pattern recognition analysis by Soft Independent Modeling of Class Analogy (SIMCA) showed tight and well-separated clusters allowing discrimination of control samples from adulterated milk. Partial Least Squares Regression (PLSR) showed standard error of prediction (SEP) similar to 2.33, 0.06, 0.41, 030 and 0.014 g/L for estimation of levels of adulteration with whey, synthetic milk, synthetic urine, urea and hydrogen peroxide, respectively. Results showed that MIR-microspectroscopy can provide an alternative methodology to the dairy industry for screening potential fraudulent practice for economic adulteration of cow's milk. (C) 2012 Elsevier Ltd. All rights reserved. (AU)

• FAPESP's process: 09/01345-6 - Application of digital image and spectroanalytical techniques combined with chemometric analysis to detect and quantify adulteration in bovine milk
• Grantee: Poliana Macedo dos Santos
• Support Opportunities: Scholarships in Brazil - Doctorate