Use of MALDI-TOF MS technology to evaluate adulteration of small ruminant milk with raw bovine milk

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26722861%3A_____%2F22%3AN0000020" target="_blank" >RIV/26722861:_____/22:N0000020 - isvavai.cz</a>

Alternative codes found

RIV/60461373:22340/22:43925511

Result on the web

<a href="https://doi.org/10.3168/jds.2021-21396" target="_blank" >https://doi.org/10.3168/jds.2021-21396</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3168/jds.2021-21396" target="_blank" >10.3168/jds.2021-21396</a>

Result language

angličtina

Original language name

Use of MALDI-TOF MS technology to evaluate adulteration of small ruminant milk with raw bovine milk

Original language description

Detection of adulteration of small ruminant milk is very important for health and commercial reasons. New analytical and cost-effective methods need to be developed to detect new adulteration practices. In this work, we aimed to explore the ability of the MALDI-TOF mass spectrometry to detect bovine milk in caprine and ovine milk using samples from 18 dairy farms. Different levels of adulteration (0.5, 1, 5, 10, 20, 40, 60, and 80%) were analyzed during the lactation period of goat and sheep (in May, from 60 to 90 d in milk, and in August, from 150 to 180 d in milk). Two different ranges of peptide-protein spectra (500–4,000 Da; 4–20 kDa) were used to establish a calibration model for predicting the concentration of adulterant using partial least squares and generalized linear model with lasso regularization. The low molecular weight part of the spectra together with the generalized linear model with lasso regularization regression model appeared to have greater potential for our aim of detection of adulteration of small ruminants’ milk. The subsequent prediction model was able to predict the concentration of bovine milk in caprine milk with a root mean square error of 11.4 and 17.0% in ovine milk. The results offer compelling evidence that MALDI-TOF can detect the adulteration of small ruminants’ milk. However, the method is severely limited by (1) the complexity of the milk proteome resulting from the adulteration technique, (2) the potential degradation of thermolabile proteins, and (3) the genetic variability of tested samples. Additionally, the root mean square error of prediction based only on one individual sample adulteration series can drop down to 6.34% for quantification of adulterated caprine milk and 6.28% for adulterated ovine milk for the full set of concentrations or down to 2.33 and 4.00%, respectively, if we restrict only to low concentrations of adulteration (0, 0.5, 1, 5, 10%).

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40401 - Agricultural biotechnology and food biotechnology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Dairy Science

ISSN

0022-0302

e-ISSN

1525-3198

Volume of the periodical

105

Issue of the periodical within the volume

6

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

4882–4894

UT code for WoS article

000808158200015

EID of the result in the Scopus database

2-s2.0-85127485955