Transforming food authenticity testing by the exploitation of a machine learning - Data fusion approach: a tea case study
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The growing vulnerability of the global food supply chain highlights the need for rapid, accurate, and non-destructive authenticity testing. In this study, we developed and validated a workflow integrating Fourier-transform infrared, near-infrared, and X-ray f... ...
