Quantifying Adulteration of Manuka Honey Using 2D-COS and Deep Learning
Click Blue Words · Follow Us Professor Wu Xijun and others from the School of Electrical Engineering at Yanshan University utilized two-dimensional correlation spectroscopy (2D-COS) based on Raman spectroscopy combined with various deep learning techniques to propose a fast, non-invasive, and low-cost spectral strategy for quantifying honey adulteration, achieving quantitative analysis of cheap multifloral honey … Read more