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Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors.

Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors. Research Abstract Details 

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  • Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors. Abstract Text:

    li liuLi Liu,yun luYun Lu,qing shaoQing Shao,yi-yu chengYi-Yu Cheng,hai-bin quHai-Bin Qu,li liuLi Liu,yun luYun Lu,qing shaoQing Shao,yi-yu chengYi-Yu Cheng,hai-bin quHai-Bin Qu,li liuLi Liu,yun luYun Lu,qing shaoQing Shao,yi-yu chengYi-Yu Cheng,hai-bin quHai-Bin Qu,

    Radix Ophiopogonis is a widely used traditional Chinese medicine. The quality of Radix Ophiopogonis available in the market varies, and some confusing or fake herbs exist. In order to improve the quality control of Radix Ophiopogonis, a novel fingerprinting method was established using HPLC coupled with UV and evaporative light-scattering detectors (ELSDs). Extraction with methanol and liquid-liquid extraction with water-saturated n-butanol were employed for the preparation of the sample solution. Chromatographic separation was performed on a Lichrospher C(18) column (250x4.6 mm id, 5.0 mum particle size) with a linear gradient elution program. UV detection at 280 nm and evaporative light-scattering detection were utilized to obtain two subfingerprinting chromatograms. A novel protocol for data processing was proposed, in order to identify and remove redundant data obtained by the two detectors, and balance the weight of the two subfingerprints on the similarity values. The method was validated and applied to quality evaluation of 16 samples of Radix Ophiopogonis and related herbs.

    Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors. Publishing Authors By Initials

    l liuL Liu,y luY Lu,q shaoQ Shao,yy chengYY Cheng,hb quHB Qu,l liuL Liu,y luY Lu,q shaoQ Shao,yy chengYY Cheng,hb quHB Qu,l liuL Liu,y luY Lu,q shaoQ Shao,yy chengYY Cheng,hb quHB Qu,

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    Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Journal of separation science

    VOLUME: 30

    Page Numbers: 2628-37

    Journal Abbreviation:

    ISSN: 1615-9306

    DAY: 17

    MONTH: Nov

    YEAR: 2007

    Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors. Information

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    LANGUAGE: eng

    NlmUniqueID: 101088554

    Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors. Keywords Mesh Terms:

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    Chemical & Substance for Abstract: Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors. Information

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    Grant and Affiliation Information for Binary chromatographic fingerprinting for quality evaluation of Radix Ophiopogonis by high-performance liquid chromatography coupled with ultraviolet and evaporative light-scattering detectors.

    AFFILIATION: Department of Chinese Medicine Science and Engineering, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China. Fax: +86-571-88208428.

    Country: Germany

    Germany Research PublicationGermany Research Publication

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    MEDLINETA: J Sep Sci

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