Food Science and Technology
Data fusion and multivariate analysis for food authenticity analysis
Y. Hong, N. Birse, et al.
This research, conducted by Yunhe Hong and colleagues, achieves groundbreaking results in classifying salmon origin and production methods with stunning accuracy. By employing a mid-level data fusion approach, the study showcases the potential of dual-platform mass spectrometry data to enhance the identification process, unveiling 18 lipid markers and 9 elemental markers that pave the way for future innovations in food integrity.
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