Cite this article as:

Monakhova Y. B., Kuznetsova I. V. Chemometric Algorithms for the Monitoring of Milk Quality by Potentiometric Titration. Izvestiya of Saratov University. Chemistry. Biology. Ecology, 2019, vol. 19, iss. 4, pp. 387-395. DOI: https://doi.org/10.18500/1816-9775-2019-19-4-387-395

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Heading: 
Chemistry
UDC: 
543.42
Language: 
Russian

Chemometric Algorithms for the Monitoring of Milk Quality by Potentiometric Titration

Authors: 
Monakhova Yu. B., SSU. Institute of Chemistry., 410012, Saratov, Astrakhanskaya str., 83, building. 1, Institute of Chemistry, SSU, yul-monakhova@mail.ru
Kuznetsova Irina V. , Saratov State University , 83, Astrakhanskaya str., Saratov, 410012, Russia , ivkuznetsova2013@mail.ru
Abstract

The acute problem in the analysis of dairy products is the potentiometric determination of the active and total titrated acidity of pasteurized milk from different manufacturers and their comparison with those for raw cow milk. In addition, for various expert purposes, fast definition of the manufacturer of this product is necessary. The conditions of potentiometric titration of pasteurized milk are specified. It is shown that the total acidity of pasteurized milk produced by different manufacturers differs insignificantly. Therefore, for modelling potentiometric titration curves of milk samples ICA and PCA methods were applied. ICA surpasses PCA in terms of reliability of class separation. ICA method solved the classification problem of assigning milk samples to a specific manufacturer, similarity with raw cow milk samples, as well as detecting products made from different raw materials or using different technologies.

Key words: 
chemometric modelling, active acidity, total acidity, raw cow milk, pasteurized milk
DOI: 
https://doi.org/10.18500/1816-9775-2019-19-4-387-395
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