Research on rapid quality identification method of Panax notoginseng powder based on artificial intelligence sensory technology and multi-source information fusion technology

Research on rapid quality identification method of Panax notoginseng powder based on artificial intelligence sensory technology and multi-source information fusion technology

Sanqi powder (PNP) possesses considerable medicinal value and is extensively employed in the healthcare and food industries. Nevertheless, the adulteration of PNP in the market has significantly diminished its efficacy. Hence, this study intends to adopt artificial intelligence perception (AIS) and multi-source information fusion (MIF) techniques, endeavoring to establish a quality evaluation system for different grades of PNP and adulterated PNP. The highest accuracy rate in identifying PNP grade and adulteration attains 100%. When predicting the adulteration ratio and total saponin content, the optimal determination coefficients of the test set are 0.9965 and 0.9948 respectively, and the root mean square errors are 0.0109 and 0.0123 respectively. Consequently, the PNP grade identification method based on AIS and MIF technologies and the AD-PNP evaluation system can evaluate the quality of PNP rapidly and precisely.