Donkey milk (DM) is an emerging foodstuff, gaining increasing attention due to its nutritional properties. As a high value-added product, it can be subjected to adulteration with cheaper milks, e.g., cow milk. The present work addresses the possibility of developing a fast and economic method for the authentication of pure DM using Near Infrared (NIR) Spectroscopy. For this purpose, 147 samples (67 pure DM and 80 mixtures) were analyzed fresh; additionally, all samples underwent successive freezing-thawing cycles. Partial Least Squares-Discriminant Analysis (PLS-DA) was used to differentiate pure and adulterated samples. PLS-DA model built on the fresh milk correctly classified all training and test samples (100% accuracy). When model was applied to the freeze-thawed individuals, it showed high accuracy (79.7% after 3 cycles), suggesting that the spectroscopic signature of adulteration prevails on that of freezing-thawing, though the impact of the latter was proved to be significant by ANOVA-Simultaneous Component Analysis (ASCA).
Near infrared spectroscopy coupled to chemometrics for the authentication of donkey milk / Di Donato, F.; Biancolillo, A.; Ferretti, A.; D'Archivio, A. A.; Marini, F.. - In: JOURNAL OF FOOD COMPOSITION AND ANALYSIS. - ISSN 0889-1575. - 115:(2023). [10.1016/j.jfca.2022.105017]
Near infrared spectroscopy coupled to chemometrics for the authentication of donkey milk
Marini F.Ultimo
2023
Abstract
Donkey milk (DM) is an emerging foodstuff, gaining increasing attention due to its nutritional properties. As a high value-added product, it can be subjected to adulteration with cheaper milks, e.g., cow milk. The present work addresses the possibility of developing a fast and economic method for the authentication of pure DM using Near Infrared (NIR) Spectroscopy. For this purpose, 147 samples (67 pure DM and 80 mixtures) were analyzed fresh; additionally, all samples underwent successive freezing-thawing cycles. Partial Least Squares-Discriminant Analysis (PLS-DA) was used to differentiate pure and adulterated samples. PLS-DA model built on the fresh milk correctly classified all training and test samples (100% accuracy). When model was applied to the freeze-thawed individuals, it showed high accuracy (79.7% after 3 cycles), suggesting that the spectroscopic signature of adulteration prevails on that of freezing-thawing, though the impact of the latter was proved to be significant by ANOVA-Simultaneous Component Analysis (ASCA).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
