Artificial intelligence-based gas chromatography-olfactometry for sensory evaluation of key compounds in food ingredients
Liang Shang, Chuanjun Liu, Fengzhen Tang, Bin Chen, Lianqing Liu, Kenshi Hayashi
This paper develops AI models to predict odor perception categories from molecular structures, finding that MG-CNN provides the highest accuracy for structure-odor relationship prediction.
bioRxiv · Apr 20, 2022 · PreprintBioinformatics