title: Rapid detection and quantification of milk adulteration using infrared microspectroscopy and chemometrics analysis.
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) ~2.33, 0.06, 0.41, 0.30 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.
authors.affiliation: Department of Food Science and Technology, The Ohio State University, 110 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, OH, USA.
authors.forename: P M
authors.initials: PM
authors.lastname: Santos
authors.forename: E R
authors.initials: ER
authors.lastname: Pereira-Filho
authors.forename: L E
authors.initials: LE
authors.lastname: Rodriguez-Saona
mesh_terms: D000818:Animals; D002417:Cattle; D002623:Chemistry Techniques, Analytical / Q000379:methods*; D005506:Food Contamination / Q000032:analysis*; D008892:Milk / Q000737:chemistry*; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*