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Featured researches published by Juan Da.


Journal of Chromatography A | 2011

Ruggedness and robustness of conversion factors in method of simultaneous determination of multi-components with single reference standard

Jinjun Hou; Wanying Wu; Juan Da; Shuai Yao; Hua-Li Long; Zhou Yang; Lu-Ying Cai; Min Yang; Xuan Liu; Baohong Jiang; De-An Guo

Single standard to determine multi-components (SSDMC) is a novel and rational method for quality control of botanical products and traditional Chinese medicines (TCMs). However, it is restricted to wide application due to unknown fluctuation in conversion factors when it is performed in different laboratories. To evaluate the fluctuations of conversion factors, we selected Salvia miltiorrhiza as an example to determine three components of tanshinones by SSDMC method. Then ruggedness and robustness test were adopted to comprehensively investigate three kinds of factors that may influence stability of conversion factors, which were related with environmental parametric variables, operational parametric variables and peak measurement parametric variables. Nested-factorial-design was used to perform ruggedness tests. One-variable-at-a-time (OVAT) procedure and Plackett-Burman (PB) design were both used in robustness test. The results showed that stability of conversion factors was principally related with accuracy of wavelength of UV detector, peak measurement parameters and concentration of standard solution. The acceptable range of conversion factors was obtained from robustness test. Our results showed that conversion factors were inevitable to change, but when key parameters were well controlled, the range of its fluctuation was acceptable and the SSDMC method could be used widely in different laboratories.


Journal of Chromatography A | 2012

Comparison of two officinal Chinese pharmacopoeia species of Ganoderma based on chemical research with multiple technologies and chemometrics analysis.

Juan Da; Wanying Wu; Jinjun Hou; Hua-Li Long; Shuai Yao; Zhou Yang; Lu-Ying Cai; Min Yang; Baohong Jiang; Xuan Liu; Chun-Ru Cheng; Yi-Feng Li; De-An Guo

AIM OF THE STUDY To investigate the chemical differences between Ganoderma lucidum (G. lucidum, Chizhi) and Ganoderma sinense (G. sinense, Zizhi). MATERIALS AND METHODS Thirty two batches of commercial Ganoderma samples were collected, including 20 batches of G. lucidum and 12 batches of G. sinense cultivated in different geographical regions. Chemical substances in aqueous extract and alcoholic extract, mainly polysaccharides and triterpenes respectively, were investigated. Determination of polysaccharides was carried out with a high performance liquid chromatography with an variable wavelength detector. Meanwhile, analysis of triterpenes were performed on an ultraviolet spectrophotometer, an ultra performance liquid chromatography and a rapid resolution liquid chromatograph combined with an electrospray ionization mass spectrometer. Chromatograms and spectra for all batches and reference standards of main components were obtained and used for direct comparison. Further discussion was made on the basis of the result of principal component analysis (PCA). RESULTS Significant difference of triterpenes was shown between G. lucidum and G. sinense. In 20 batches of G. lucidum, 12 main components, including eight ganoderic acids and four ganoderenic acids were identified and ten of them were quantitatively determined, with the total content from 0.249% to 0.690%. However, none of those triterpenes was found in either batch of G. sinense. As for constituents of polysaccharides, seven monosaccharides were identified and four main components among them were quantitatively determined. Difference of polysaccharides was not directly observed, but latent information was revealed by PCA and the discrimination became feasible. CONCLUSIONS G. lucidum and G. sinense were chemically different, which might result in pharmacological distinction. Preparations of traditional Chinese medicine (TCM) from Ganoderma should make accurate specification on the origin of species.


Journal of Pharmaceutical and Biomedical Analysis | 2014

HPLC/qTOF-MS-oriented characteristic components data set and chemometric analysis for the holistic quality control of complex TCM preparations: Niuhuang Shangqing pill as an example

Dan-dan Wang; Jian Liang; Wenzhi Yang; Jinjun Hou; Min Yang; Juan Da; Ying Wang; Baohong Jiang; Xuan Liu; Wanying Wu; De-An Guo

The quality control of Da-Fu-Fang (DFF), referring to the traditional Chinese medicine (TCM) preparations comprising more than 10 TCMs, is challenging due to their extreme chemical complexity. In this study, a strategy is proposed for the holistic quality control of DFFs based on HPLC/qTOF-MS-oriented characteristic components data set (CCDS) and chemometric analysis. Niuhuang Shangqing pill (NHSQP), composed of 19 TCMs, is used to illustrate this strategy. The fingerprint profiling of NHSQP by HPLC/qTOF-MS resulted in the characterization of 190 compounds, comprising 47 unambiguously identified by reference standard comparison. A CCDS containing 60 characteristic components was constructed by analyzing the MS spectral differentiation of the crude drugs, a laboratory-made NHSQP powder, and negative control preparations. With the established CCDS, it was possible to simultaneously monitor 16 out of the 19 drugs involved in NHSQP. Subsequently, 26 NHSQP samples from different vendors were evaluated by the qualitative and semi-quantitative analyses of their LC/MS fingerprint data. The 60 characteristic components were detected in all of the NHSQP samples, which demonstrated their authenticity. When compared with the standard sample No. 3, however, 15 of the NHSQP samples exhibited inferior quality. Samples No. 21 and No. 13 differed significantly based on a PCA score plot, and the components responsible for the differentiation were confirmed to originate from different TCMs. This strategy is a powerful and easy method to implement and provides a potential approach to establishing the holistic quality control of complex TCM preparations.


Phytochemistry | 2015

A reproducible analytical system based on the multi-component analysis of triterpene acids in Ganoderma lucidum

Juan Da; Chun-Ru Cheng; Shuai Yao; Hua-Li Long; Yan-Hong Wang; Ikhlas A. Khan; Yi-Feng Li; Qiurong Wang; Lu-Ying Cai; Baohong Jiang; Xuan Liu; Wanying Wu; De-An Guo

Ultra-performance liquid chromatography (UPLC) and Single Standard for Determination of Multi-Components (SSDMC) are becoming increasingly important for quality control of medicinal herbs; this approach was developed for Ganoderma lucidum. Special attention was necessary for the appropriate selection of markers, for determining the reproducibility of the relative retention times (RRT), and for the accuracy of conversion factors (F). Finally, ten components were determined, with ganoderic acid A serving as single standard. Stable system parameters were established, and with successful resolution of those issues, this analytical method could be used more broadly.


PLOS ONE | 2015

Discriminatory Components Retracing Strategy for Monitoring the Preparation Procedure of Chinese Patent Medicines by Fingerprint and Chemometric Analysis

Shuai Yao; Jingxian Zhang; Dandan Wang; Jinjun Hou; Wenzhi Yang; Juan Da; Lu-Ying Cai; Min Yang; Baohong Jiang; Xuan Liu; De-An Guo; Wanying Wu

Chinese patent medicines (CPM), generally prepared from several traditional Chinese medicines (TCMs) in accordance with specific process, are the typical delivery form of TCMs in Asia. To date, quality control of CPMs has typically focused on the evaluation of the final products using fingerprint technique and multi-components quantification, but rarely on monitoring the whole preparation process, which was considered to be more important to ensure the quality of CPMs. In this study, a novel and effective strategy labeling “retracing” way based on HPLC fingerprint and chemometric analysis was proposed with Shenkang injection (SKI) serving as an example to achieve the quality control of the whole preparation process. The chemical fingerprints were established initially and then analyzed by similarity, principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) to evaluate the quality and to explore discriminatory components. As a result, the holistic inconsistencies of ninety-three batches of SKIs were identified and five discriminatory components including emodic acid, gallic acid, caffeic acid, chrysophanol-O-glucoside, and p-coumaroyl-O-galloyl-glucose were labeled as the representative targets to explain the retracing strategy. Through analysis of the targets variation in the corresponding semi-products (ninety-three batches), intermediates (thirty-three batches), and the raw materials, successively, the origins of the discriminatory components were determined and some crucial influencing factors were proposed including the raw materials, the coextraction temperature, the sterilizing conditions, and so on. Meanwhile, a reference fingerprint was established and subsequently applied to the guidance of manufacturing. It was suggested that the production process should be standardized by taking the concentration of the discriminatory components as the diagnostic marker to ensure the stable and consistent quality for multi-batches of products. It is believed that the effective and practical strategy would play a critical role in the guidance of manufacturing and help improve the safety of the final products.


Journal of Separation Science | 2015

Ultra-performance liquid chromatography of amino acids for the quality assessment of pearl powder

Jingxian Zhang; Shangrong Li; Shuai Yao; Wei Si; Lu-Ying Cai; Huiqin Pan; Jinjun Hou; Wenzhi Yang; Juan Da; Baohong Jiang; Xuan Liu; Wanying Wu; De-An Guo

Pearls have been widely used as a traditional medicine, in cosmetics, and as a health food supplement in China since ancient times. However, the identification and quality assessment of pearl powder have been challenging tasks because of the similar morphological features and chemical composition of its common adulterants, especially conch powders. In this study, ultra-performance liquid chromatography was combined with pre-column derivatization to rapidly quantify 14 amino acids in pearl powder and its analogues. Based upon the quantification results, a quality criterion of a total amino acid content of not less than 1.10% was proposed for pearl powder. Principal component analysis indicated that leucine and phenylalanine were the amino acids characteristic for distinguishing between pearls and nacres. The area ratio of leucine to phenylalanine was demonstrated to be an effective diagnostic marker to discriminate freshwater cultured pearls, natural seawater pearls, and nacres. The proposed method, involving both the qualitative and quantitative aspects, was subsequently applied to quality assessment of pearl powders purchased commercially in various parts of China; eight out of 18 batches were deemed authentic and unadulterated. In the future, this analytical process should play a significant role in standardizing and providing quality control to the pearl powder market.


Planta Medica | 2018

Green Quantification Strategy Combined with Chemometric Analysis for Triglycerides in Seeds Used in Traditional Chinese Medicine

Jinjun Hou; Jiling Guo; Chun-Mei Cao; Shuai Yao; Hua-Li Long; Lu-Ying Cai; Juan Da; Wanying Wu; De-An Guo

Triglycerides are the primary constituents of some seed kernels used in traditional Chinese medicine. Quality control of seed kernels containing multiple components with an environmentally friendly method is indispensable for establishing their quality standards (called monographs) in pharmacopeia. Using coix seeds (Semen Coicis) as an example, a green quantification strategy was proposed by combining C8 core-shell particles with single standard to determine multicomponent technologies to quantify seven triglycerides simultaneously. A core-shell column, namely, Halo C8 (3.0 × 100 mm, 2.7 µm), was used. Methanol was used as the mobile phase at a flow rate of 0.3 mL/min, enabling UV detection of the elutes. Seven triglycerides were well separated in 20 min, and simultaneously quantified using triolein as a single standard. The conversion factor for each standard was set as 1.0 on ELSD, while for the conversion factors at 203 nm, the values increased with the reduction of linoleate. The recovery values were all in the range of 97 - 107% (RSD < 3.0%). The RSD values of precision, including intraday and intermediate precision, were < 3.0% when the total content of triglycerides was calculated. The linearity reached r ≥ 0.9990, and the limit of quantitation reached 40 - 70 ng. Forty-nine batches of coix seeds from four different places of origins and eight batches of adulterants were evaluated and differentiated using principal component analysis. In addition, the validated method was used successfully to quantity seven triglycerides in Semen Persicae, Semen Armeniacae Amarum, and Semen Pruni.


Journal of Chromatography A | 2015

Simultaneous quantitation of five Panax notoginseng saponins by multi heart-cutting two-dimensional liquid chromatography: Method development and application to the quality control of eight Notoginseng containing Chinese patent medicines

Changliang Yao; Wenzhi Yang; Wanying Wu; Juan Da; Jinjun Hou; Jingxian Zhang; Yan-hai Zhang; Yan Jin; Min Yang; Baohong Jiang; Xuan Liu; De-An Guo


Archive | 2012

Traditional Chinese medicine composition capable of treating cervical vertigo and preparation method thereof

De-An Guo; Wanying Wu; Jinjun Hou; Zhou Yang; Hua-Li Long; Shuai Yao; Juan Da; Lu-Ying Cai


Archive | 2010

Application of mixture of coating material and porogen in preparation of traditional Chinese medicine composite

Juan Da; Zhigang Gao; De-An Guo; Jinjun Hou; Wanying Wu; Zhen Xia; Shuai Yao

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De-An Guo

Chinese Academy of Sciences

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Wanying Wu

Chinese Academy of Sciences

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Jinjun Hou

Chinese Academy of Sciences

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Shuai Yao

Chinese Academy of Sciences

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Lu-Ying Cai

Chinese Academy of Sciences

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Baohong Jiang

Chinese Academy of Sciences

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Xuan Liu

Chinese Academy of Sciences

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Wenzhi Yang

Chinese Academy of Sciences

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Hua-Li Long

Chinese Academy of Sciences

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Jingxian Zhang

Chinese Academy of Sciences

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