on june 28, 2024, dr. cheng hong from the fruit and vegetable storage, transportation and processing laboratory of the institute of biotechnology and food science published a research paper titled "potential of hyperspectral imaging for nondestructive determination of α-farnesene and conjugated trienol content in 'yali' pear" online in the international top chemical spectroscopy journal spectrochimica acta part a: molecular and biomolecular spectroscopy.
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this study used a combination of visible and near-infrared hyperspectral imaging technology and machine learning models to predict the content of biomarkers α-farnesene and ctols for superficial scald in pear. a nondestructive prediction method of α-farnesene and ctols in 'yali' pear based on hyperspectral imaging was established, which could predict the contents of α-farnesene and ctols quickly and nondestructively, track the real-time status of pear, and prevent superficial scald. this study provided technical support for nondestructive detection of 'yali' pear superficial scald.
link of paper:
（source from www.hebnky.com）