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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.)

Vibrational spectroscopy and chemometrics tools for authenticity and improvement the safety control in goat milk

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da Paixao Teixeira, Jose Luan [1] ; dos Santos Carames, Elem Tamirys [1] ; Baptista, Debora Parra [2] ; Gigante, Mirna Lucia [2] ; Lima Pallone, Juliana Azevedo [1]
Total Authors: 5
[1] Univ Estadual Campinas, Sch Food Engn, Dept Food Sci, St Monteiro Lobato 80, BR-13083862 Campinas, SP - Brazil
[2] Univ Estadual Campinas, Sch Food Engn, Dept Food Technol, St Monteiro Lobato 80, BR-13083862 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: FOOD CONTROL; v. 112, JUN 2020.
Web of Science Citations: 8

Goat milk has a potential target of fraud. In this sense, Near Infrared Spectroscopy (NIRS) have been successfully used to detect food fraud. This study aimed to develop multivariate classification models using MRS to detect adulterants in goat milk. Principal Component Analysis (PCA), control chart, k-Nearest Neighbor (k-NN), Part Least Square-Discriminant Analysis (PIS-DA) and Soft Independent Modeling of Class Analogies (SIMCA) were used to detect the adulterants: water, urea, bovine whey and cow's milk in goat's milk samples with concentrations of 0 (control), 1, 5, 10, 15 and 20% v/v, resulting in 300 control samples and 300 adulterated samples. The control chart discriminated authentic and adulterated samples with 95% confidence. The PLS-DA results were better compared to those obtained by k-NN and SIMCA; presenting 100% sensitivity and specificity in calibration, cross validation, and prediction. Therefore, NIRS combined with PIS-DA was adequate to detect goat milk safety control associated with adulteration. (AU)

FAPESP's process: 18/09759-3 - Higher value-added foods: in vitro digestion simulation for minerals bioacessibility estimation and detection of adulterations by infrared spectroscopy and chemiometry
Grantee:Juliana Azevedo Lima Pallone
Support Opportunities: Regular Research Grants
FAPESP's process: 18/08864-8 - Minerals bioacessibility in goat dairy produts and evaluation of applying NIR and chemometrics to detect adulterations in goat's milk and dairy
Grantee:José Luan da Paixão Teixeira
Support Opportunities: Scholarships in Brazil - Doctorate