Bin Chen

Artificial intelligence-based gas chromatography-olfactometry for sensory evaluation of key compounds in food ingredients

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.

Machine-Learning-Based Olfactometry: An Auxiliary System for Human Assessors in Olfactory Measurement

This paper develops a machine-learning-based olfactometry system to predict odor descriptors from molecular features, reducing the need for human panelists in olfactory evaluation.