Joint multi-technology applications for etablishing quality evaluation model of Coptidis Rhizoma

This is the authors' abstract. We don't add key points for this paper.

Based on the pharmacodynamic components of Coptidis Rhizoma (CR) against oral squamous cell carcinoma (OSCC), the combination of chromatographic and spectroscopic techniques was used to achieve the rapid detection of CR quality, which provided a reference for the implementation of the quality detection method of CR oriented to the clinical efficacy. Firstly, the pharmacodynamic components of CR in the treatment of OSCC were studied by means of network pharmacology and molecular docking technology, and the pharmacodynamic components were screened and verified in vitro to screen out the key active components. Subsequently, the contents of key active ingredients of CR from different origins were detected and quantitative analysis models were established by a combination of high performance liquid chromatography (HPLC) and near infrared spectroscopy (NIR) techniques. The results showed that berberine and palmatine in CR had strong curative effect in the treatment of OSCC. Using berberine and palmatine as the key active ingredients, the content of the key active ingredients obtained by HPLC was used as the reference, and the prediction model of berberine and palmatine content was constructed by combining the NIR and partial least squares regression algorithm, and the model obtained a better prediction result with the correlation coefficients of R 2 p of 0.9704 and 0.8793, respectively. This study screened the index components of CR against OSCC, and also demonstrated that NIR combined with chemometrics had the ability to quantitatively analyse the content of the components quickly, conveniently and accurately. This study is expected to be used for the simultaneous rapid detection of the anti-OSCC components in CR, which will provide a reference for the quality evaluation of CR raw herbs oriented to clinical efficacy. • 1 Pharmacodynamics result showed that berberine and palmatine were the main components. • 2 Combinated with HPLC and NIS techniques to establish quantitative analysis models. • 3 Prediction model of CR was established successfully with R 2 p of 0.96 and 0.95.