An integrated strategy of spectrum-effect relationship and near-infrared spectroscopy rapid evaluation based on back propagation neural network for quality control of Paeoniae Radix Alba.

The quantitative analysis of near-infrared spectroscopy in traditional Chinese medicine has still deficiencies in the selection of the measured indexes. Then Paeoniae Radix Alba is one of the famous "Eight Flavors of Zhejiang" herbs, however, it lacks the pharmacodynamic support, and cannot reflect the quality of Paeoniae Radix Alba accurately and reasonably. In this study, the spectrum-effect relationship of the anti-inflammatory activity of Paeoniae Radix Alba was established. Then based on the obtained bioactive component groups, the genetic algorithm, back propagation neural network, was combined with near-infrared spectroscopy to establish calibration models for the content of the bioactive components of Paeoniae Radix Alba. Finally, three bioactive components, paeoniflorin, 1,2,3,4,6-O-pentagalloylglucose, and benzoyl paeoniflorin, were successfully obtained. Their near-infrared spectroscopy content models were also established separately, and the validation sets results showed the coefficient of determination (R2 > 0.85), indicating that good calibration statistics were obtained for the prediction of key pharmacodynamic components. As a result, an integrated analytical method of spectrum-effect relationship combined with near-infrared spectroscopy and deep learning algorithm was first proposed to assess and control the quality of traditional Chinese medicine, which is the future development trend for the rapid inspection of traditional Chinese medicine.

Establishment of Male and Female Eucommia Fingerprints by UPLC Combined with OPLS-DA Model and Its Application.

Eucommia ulmoides Oliver is a dioecious plant, which plays an important role in traditional Chinese medicine. However, there has not yet been any research on male and female E. ulmoides. The UPLC fingerprints and OPLS-DA approach were able to quickly and easily identify and quantify E. ulmoides and differentiate between the male and female fingerprints. In this study, we optimized the UPLC conditions and analyzed them to investigate fingerprints of twenty-four extracts of Eucommiae Cortex (EC) and twenty-four extracts of Eucommiae Folium (EF) under optimal conditions. It was demonstrated that thirteen and twelve substances were possible chemical markers for EC and EF male and female discrimination and that the level of these markers - chlorogenic acid and protocatechuic acid - was many times higher in male than in female. This approach offered a reference for quality control and precise treatment of male and female E. ulmoides in the clinic.