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Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS)

Food Science and Technology

Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS)

Y. Hong, N. Birse, et al.

This groundbreaking study by Yunhe Hong and colleagues reveals how desorption electrospray ionization mass spectrometry (DESI-MS) can distinguish between cow, goat, camel, soy, and oat milk with remarkable accuracy. With a 100% cross-validation success rate and an impressive sensitivity to detect milk adulteration, this research presents an innovative, eco-friendly solution for milk fraud control.

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~3 min • Beginner • English
Abstract
This study used desorption electrospray ionisation mass spectrometry (DESI-MS) to analyse, detect and classify biomarkers in five milk sources (cow, goat, camel, soya, oat) for the first time. Differences in spectral features among these milks were observed. Chemometric modelling classified mass spectral data and identified unique/significant markers for each source. Classification achieved 100% cross-validation via linear discriminant analysis (LDA), with high sensitivity to adulteration (0.1–5% v/v). DESI-MS showed high classification accuracy without complex clean-up, offering a rapid, efficient approach for milk fraud control.
Publisher
npj Science of Food
Published On
Feb 11, 2022
Authors
Yunhe Hong, Nicholas Birse, Brian Quinn, Holly Montgomery, Di Wu, Gonçalo Rosas da Silva, Saskia M. van Ruth, Christopher T. Elliott
Tags
DESI-MS
milk adulteration
biomarkers
spectral analysis
chemometric modeling
detection
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