摘要
In traditional Chinese medicine (TCM), quality control involves accurately distinguishing between species, notably the widely utilized herbs - Panax ginseng and Panax quinquefolius. Terahertz time-domain spectroscopy (THz-TDS) emerges as a non-destructive and time-efficient tool, promising application not only in academic research but also in practical settings. Despite of its potential, an integrated system for standardized protocols, spectral databases, and data analysis is lacking. In this research, we focus on measurement quality and reproducibility by developing a protocol. Next by training an artificial neural network (ANN), differentiation of the two Panax species have been achieved with 92.86% accuracy using 6-fold cross-validation. Combine THz-TDS measurement with deep learning for prediction, we advanced quality monitoring and species differentiation in TCM.