The non-targeted detection combines fingerprinting techniques and chemometrics to detect toxicants or foreign components in foods, without prior knowledge of their chemical compositions or specific structures of marker compounds. A series of non-targeted mass spectrometric, infrared and Raman spectroscopic fingerprints were introduced in the detection of milk quality and safety. Using the state-of-art fingerprinting methods such as ultraperformance liquid chromatography-mass spectrometry, flow injection mass spectrometry or Fourier transform infrared spectroscopy fingerprints combined with non-targeted principal component analysis and partial least squares modelling, differentiation of pure milk from their counterparts adulterated with non-milk proteins such as soybean or pea proteins has been achieved. Through these successful applications, the non-targeted detection technology may be a reliable and versatile approach in preventing food-related fraud in the future.

Non-targeted fingerprints for detecting milk quality and safety

254th National Meeting (2017)

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.