Anticoagulant activity analysis and origin identification of Panax notoginseng using HPLC and ATR‐FTIR spectroscopy

Abstract

Introduction Panax notoginseng is one of the traditional precious and bulk‐traded medicinal materials in China. Its anticoagulant activity is related to its saponin composition. However, the correlation between saponins and anticoagulant activities in P. notoginseng from different origins and identification of the origins have been rarely reported. Objectives We aimed to analyze the correlation of components and activities of P. notoginseng from different origins and develop a rapid P. notoginseng origin identification method. Materials and methods Pharmacological experiments, HPLC, and ATR‐FTIR spectroscopy (variable selection) combined with chemometrics methods of P. notoginseng main roots from four different origins (359 individuals) in Yunnan Province were conducted. Results The pharmacological experiments and HPLC showed that the saponin content of P. notoginseng main roots was not significantly different. It was the highest in main roots from Wenshan Prefecture (9.86%). The coagulation time was prolonged to observe the strongest effect (4.99 s), and the anticoagulant activity was positively correlated with the contents of the three saponins. The content of ginsenoside Rg1 had the greatest influence on the anticoagulant effect. The results of spectroscopy combined with chemometrics show that the variable selection method could extract a small number of variables containing valid information and improve the performance of the model. The variable importance in projection has the best ability to identify the origins of P. notoginseng; the accuracy of the training set and the test set was 0.975 and 0.984, respectively. Conclusion This method is a powerful analytical tool for the activity analysis and identification of Chinese medicinal materials from different origins.

Study of the suitable climate factors and geographical origins traceability of Panax notoginseng based on correlation analysis and spectral images combined with machine learning

“…Recently, as a popular medicinal material for the treatment and prevention of diseases and for keeping healthy, Panax notoginseng has also been affected by the same situation. A large variety of P. notoginseng is sold on the market, which results in some illegal traders mixing the cheap and sub-quality materials with the genuine product, the inferior with the superior ( Yao et al., 2021 ; Yu et al., 2022 ; Cui et al., 2022 ). As a common Chinese medicinal material for alleviating blood stasis, hemostasis, swelling, and pain relief, P. notoginseng is found in the dried roots of Panax notoginseng (Burk) F. H. Chen of the Araliaceae family.…”

Deep Learning Network of Amomum villosum Quality Classification and Origin Identification Based on X-ray Technology

“…In addition, X-ray imaging technology is also employed to inspect onions [16], deboned poultry [17], etc. Most studies identify the origin based on the analysis of the components, such as tea [18], orange [19], and P. notoginseng main roots [20]. In addition, quality defects were distinguished in most studies, but origin identification has often been overlooked, such as in the classification of mangoes [21], eggs [22], apples [23], etc.…”