Study on Electrochemical Fingerprints and Identification of Different Varieties of Rice and Mouldy Rice by B-Z Oscillation Reaction System

A strategy takes "Yiqing" tablets as an example to carry out simpler multi-component quantification and use fingerprint technology for comprehensive quality consistency evaluation

The comprehensive evaluation of the quality of traditional Chinese medicines (TCM) is an important issue for the continuous progress and exploration of TCM. In this study, a "Yiqing" tablet (YQT) was taken as an example, and the sample quality was comprehensively investigated by multi-component quantification, multi-dimensional fingerprint construction, and antioxidant activity analysis. Based on high performance liquid chromatography (HPLC) and fourier transform infrared spectroscopy (FTIR) fingerprint, accurate and fast multi-component quantification is achieved by reliable Multi-markers assay by mono-linear method (MAML) method and verified partial least squares regression (PLSR) model. The basic HPLC fingerprint and the special FTIR quantitative fingerprint were evaluated by SQFM, and the rich fingerprint qualitative and quantitative information of the sample was obtained. The characteristic parameter (blocking rate (BR)) characterizing antioxidant activity in the electrochemical (EC) fingerprint was excavated for the first time, and the fingerprint-efficacy analysis results with HPLC and FTIR were obtained through bivariate correlation analysis (BCA). The results showed that 25 components in the HPLC fingerprint and had antioxidant activity, and most bands of FTIR showed antioxidant activity. Finally, by combining the evaluation results of HPLC and FTIR fingerprint using the mean method, all samples were classified as first level, except for S1, demonstrating the consistency of sample quality. Based on the comprehensive quality evaluation system combining vertical and horizontal combination, this study provides a new idea for achieving comprehensive quality evaluation of TCM.

Electrochemical-based quantitative fingerprint evaluation strategy combined with multi-markers assay by monolinear method for quality control of herbal medicine

BACKGROUND

Improving the quality control (QC) criterion of herbal medicine (HM) is an ongoing challenge. A rapid and convenient electrochemical analysis technique is now emerging as a promising application for HM QC. So far, extraction and analysis of the overall electroactive components is a key issue need to be solved to improve its application in integral HM QC.

PURPOSE

In this work, using compound liquorice tablets (CLQTs) as an example, we like to put forward a more reliable and accurate quantification method of multi-components for the precise QC of HM. Furthermore, we propose an electrochemical fingerprint-based data mining, extract and synthesis strategy for in-depth and comprehensive QC of HM, qualitatively and quantitatively.

METHODS AND DESIGN

Firstly, the electrochemical quantitative fingerprint of 54 batches of CLQTs from nine manufacturers were developed using B-Z oscillatory system. Secondly, eight characteristic parameters were recorded and compared among samples using intuitive information and PCA. Then, t_und was used to establish the correlation with sample dosage for determination of the relative content of overall electroactive components (Rc). The quantitative determination of five quality markers (Q-markers) were also performed using the novel method, called multi-markers assay by monolinear method (MAML). Finally, after using area integral calculus for electrochemical fingerprint, average linear quantitative fingerprint method (ALQFM) was successfully proposed to extract all latent characteristics for integral quality evaluation of samples.

RESULTS

The t_und and dosage showed a good correlation, by which the obtained Rc displayed different fluctuation among nine manufacturers. Moreover, the contents of five Q-markers obtained by MAML displayed no significant difference with the traditional quantification method. Samples evaluated by ALQFM manifested the integral information and were divided into eight quality grades. The deduced results of correlation between P_l with P_5C, Rc and P_A were more persuasive for demonstrating the reliability and integrity of ALQFM in quality evaluation of HM electrochemical fingerprint.

CONCLUSION

The study confirmed the idea that quantification of Q-markers combined electrochemical-based quality evaluation strategy could be used as a reliable method for HM QC qualitatively and quantitatively from point (precise) to face (integral).