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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR)

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Author(s):
Santos, Poliana M. [1] ; Pereira-Filho, Edenir R. [2] ; Colnago, Luiz A. [3]
Total Authors: 3
Affiliation:
[1] Fed Technol Univ Parana UTFPR, Dept Biol & Chem, BR-81280340 Curitiba, PR - Brazil
[2] Fed Univ Sao Carlos UFSCar, Dept Chem, BR-13565905 Sao Carlos, SP - Brazil
[3] Embrapa Instrumentat, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Microchemical Journal; v. 124, p. 15-19, JAN 2016.
Web of Science Citations: 27
Abstract

This study explores the possibilities for application of H-1 Time Domain Nuclear Magnetic Resonance (H-1 TD-NMR) as a rapid method for assessment of milk quality. Whey, urea, hydrogen peroxide, synthetic urine and synthetic milk were added to the milk samples at concentrations of 5, 15, 25, 35 and 50% v/v. Discrete exponential analysis of the H-1 TD-NMR relaxation decay revealed that the milk samples contained a single water component as well as that the T-2 relaxation times differed significantly with respect to the level of adulteration. Regression models obtained with the full H-1 TD-NMR (multivariate approach) and T-2 value (univariate approach) demonstrate a strong correlation to estimate the level of adulteration in milk samples, with standard errors of prediction of 2.34 and 3.79% v/v, respectively. SIMCA and kNN classification models were developed to classify control from adulterated milk samples and adulterated milk samples based on the level of adulteration. The results obtained with both models showed a similar and quite satisfactorily predictability, with sensitivity and specificity ranging from 0.66 to 1.00. This study clearly demonstrates that H-1 TD-NMR could be applied as an alternative rapid method for detecting and quantifying milk adulteration. (C) 2015 Elsevier B.V. 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