Compound synthesizing profiling based on quantitative HPLC fingerprints combined with antioxidant activity analysis for Zhizi Jinhua pills.

BACKGROUND: Compound drug Zhizi Jinhua Pills (ZZJHP) is composed of 8 herbal medicines (HMs), and it is necessary to control the HMs to ensure its holistic quality. PURPOSE: To establish a quality monitoring method for ZZJHP from precise control of multiple active ingredients to contour control of fingerprint, to calculate the contribution of HMs and predict the quality of compound drugs. METHODS: In this study, HPLC method was established for content determination of 11 analytes and fingerprint assessment. In vivo and in vitro studies of antioxidant activity were performed, Orthogonal Partial Least Squares analysis was applied for spectrum-effect correlation between antioxidant activity and HPLC fingerprint. The compound synthesizing fingerprint (CSF) of ZZJHP was fitted with 8 HMs, and the contribution of the single herb to prescription was evaluated by Sub-quantified profiling method. RESULTS: The content of 11 analytes and fingerprints of ZZJHP were measured simultaneously, 32 batches of samples were divided into 6 grades. In vivo and in vitro researches suggested significant antioxidant activity capacity of ZZJHP. Then, spectrum-effect relationship study showed that 24 of the 30 fingerprint peaks had antioxidant activity. By prescription and decomposition profiling, the qualitative and quantitative contributions of the 8 herbs were revealed in turn. The negative solution experiment proved that CSF could accurately predict the quality of composite drugs. CONCLUSION: The intelligent prediction strategy could intervene at the source to realize rapid screening of HMs and prediction of the quality of preparations, which could provide guidance for the use of HMs and improve the quality of composite drugs.

Comprehensive evaluation of Loblolly fruit by high performance liquid chromatography four wavelength fusion fingerprint combined with gas chromatography fingerprinting and antioxidant activity analysis.

Loblolly fruit (LBF) is mainly used as raw material for beverage, but there are few researches on its quality evaluation or control. The aim of this study was to develop comprehensive evaluation methods for the quality control of Loblolly fruit. firstly, double wavelength coefficient ratio spectrum was used to identify the purity of chromatographic fingerprint peak. It is very important to identify the purity of fingerprint peaks because only the quantitative determination of pure chromatographic peaks is meaningful for its efficient quality control. Then, multi-wavelength fusion fingerprint was established to avoid one-sidedness of a single wavelength for further evaluation by systematically quantified fingerprint method (SQFM). According to the outcome of Pm, 25 batches of LBF were classified into two classifications by hierarchical cluster analysis, which was consistent with the SQFM evaluation results. Two active components, gallic acid (GAC) and ethyl gallate (EGA) in LBF, were quantitatively determined by quantitative analysis of multi-components by single marker (QAMS). In addition, the fingerprint efficacy relationship was established using an off-line antioxidant system and partial least-squares model to explore the connection between chemical components and antioxidant activities. Finally, the evaluation results of high-performance liquid chromatography and gas chromatography were integrated by the mean algorithm, which could reduce the error caused by single method. The results showed that the proposed strategy could provide a method for quality evaluation of LBF and even other traditional Chinese medicines (TCMs).