Direct analysis in real time mass spectrometry and multivariate data analysis: A novel approach to rapid identification of analytical markers for quality control of traditional Chinese medicine preparation

[Display omitted] ► DART-MS combined with PCA was used to rapidly identify markers of herbal preparation. ► Salvianolic acids and saccharides were simultaneously determined with DART-MS. ► DART-MS spectra obtained from batches of Danshen injections were processed using PCA. ► Candidate markers of Da...

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Veröffentlicht in:Analytica chimica acta 2012-07, Vol.733, p.38-47
Hauptverfasser: Zeng, Shanshan, Wang, Lu, Chen, Teng, Wang, Yuefei, Mo, Huanbiao, Qu, Haibin
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container_start_page 38
container_title Analytica chimica acta
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creator Zeng, Shanshan
Wang, Lu
Chen, Teng
Wang, Yuefei
Mo, Huanbiao
Qu, Haibin
description [Display omitted] ► DART-MS combined with PCA was used to rapidly identify markers of herbal preparation. ► Salvianolic acids and saccharides were simultaneously determined with DART-MS. ► DART-MS spectra obtained from batches of Danshen injections were processed using PCA. ► Candidate markers of Danshen injection were recognized from the contribution plots. The paper presents a novel strategy to identify analytical markers of traditional Chinese medicine preparation (TCMP) rapidly via direct analysis in real time mass spectrometry (DART-MS). A commonly used TCMP, Danshen injection, was employed as a model. The optimal analysis conditions were achieved by measuring the contribution of various experimental parameters to the mass spectra. Salvianolic acids and saccharides were simultaneously determined within a single 1-min DART-MS run. Furthermore, spectra of Danshen injections supplied by five manufacturers were processed with principal component analysis (PCA). Obvious clustering was observed in the PCA score plot, and candidate markers were recognized from the contribution plots of PCA. The suitability of potential markers was then confirmed by contrasting with the results of traditional analysis methods. Using this strategy, fructose, glucose, sucrose, protocatechuic aldehyde and salvianolic acid A were rapidly identified as the markers of Danshen injections. The combination of DART-MS with PCA provides a reliable approach to the identification of analytical markers for quality control of TCMP.
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The paper presents a novel strategy to identify analytical markers of traditional Chinese medicine preparation (TCMP) rapidly via direct analysis in real time mass spectrometry (DART-MS). A commonly used TCMP, Danshen injection, was employed as a model. The optimal analysis conditions were achieved by measuring the contribution of various experimental parameters to the mass spectra. Salvianolic acids and saccharides were simultaneously determined within a single 1-min DART-MS run. Furthermore, spectra of Danshen injections supplied by five manufacturers were processed with principal component analysis (PCA). Obvious clustering was observed in the PCA score plot, and candidate markers were recognized from the contribution plots of PCA. The suitability of potential markers was then confirmed by contrasting with the results of traditional analysis methods. Using this strategy, fructose, glucose, sucrose, protocatechuic aldehyde and salvianolic acid A were rapidly identified as the markers of Danshen injections. 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The paper presents a novel strategy to identify analytical markers of traditional Chinese medicine preparation (TCMP) rapidly via direct analysis in real time mass spectrometry (DART-MS). A commonly used TCMP, Danshen injection, was employed as a model. The optimal analysis conditions were achieved by measuring the contribution of various experimental parameters to the mass spectra. Salvianolic acids and saccharides were simultaneously determined within a single 1-min DART-MS run. Furthermore, spectra of Danshen injections supplied by five manufacturers were processed with principal component analysis (PCA). Obvious clustering was observed in the PCA score plot, and candidate markers were recognized from the contribution plots of PCA. The suitability of potential markers was then confirmed by contrasting with the results of traditional analysis methods. Using this strategy, fructose, glucose, sucrose, protocatechuic aldehyde and salvianolic acid A were rapidly identified as the markers of Danshen injections. The combination of DART-MS with PCA provides a reliable approach to the identification of analytical markers for quality control of TCMP.</description><subject>Aldehydes</subject><subject>Alkenes - analysis</subject><subject>Analytical chemistry</subject><subject>Analytical marker</subject><subject>Carbohydrates - analysis</subject><subject>Chemistry</subject><subject>Direct analysis in real time</subject><subject>Drugs, Chinese Herbal - chemistry</subject><subject>Exact sciences and technology</subject><subject>Markers</subject><subject>Mass spectrometry</subject><subject>Mass Spectrometry - economics</subject><subject>Mass Spectrometry - methods</subject><subject>Mathematical analysis</subject><subject>Multivariate Analysis</subject><subject>Polyphenols - analysis</subject><subject>Principal Component Analysis</subject><subject>Quality Control</subject><subject>Real time</subject><subject>Reproducibility of Results</subject><subject>Salvia miltiorrhiza - chemistry</subject><subject>Sensitivity and Specificity</subject><subject>Spectrometric and optical methods</subject><subject>Strategy</subject><subject>Time Factors</subject><subject>Traditional chinese medicine</subject><subject>Traditional Chinese medicine preparation</subject><issn>0003-2670</issn><issn>1873-4324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNks-O0zAQxiMEYrsLD8AF-YLEpcV2XCeF06qwgLQSFzhbE2einZLGWdup1Ifcd2JCy3JDnPxHv29m_H0uildKrpRU9t1uBR5WWiq9kmYl9fpJsVB1VS5Nqc3TYiGlLJfaVvKiuExpx0etpHleXGhdSVNWZlE8fKSIPgsYoD8mSoIGERF6kWmPYg8piTQyEMMeczwy14r91Gc6QCTIKFrI8Kh-L67FEA7YCxjHGMDfiRxEhJFaQS0OmTrykCkMInQnVeaLnhvFnxiT6EIU9xP0lI_Ch4Hb9jOZI7Q0yxjd3tGAiWfDljxvxRhxhPi76oviWQd9wpfn9ar4cfPp-_bL8vbb56_b69ulN8rmpS1bgEZXjbGt70rZbLC0Xq4VGjB1LYF9KoH98bVBdsw3UDddp-o12rWpbXlVvD3V5UfeT5iy21Py2PcwYJiSU7Ks9dpWm81_oFopbWs1V1Un1MeQUsTOjZHYmSNDbg7c7RwH7ubAnTSOA2fN63P5qWFHHhV_EmbgzRmAxE53EQZP6S9nGZPVPOeHE4fs24EwuuQJB88uzx_EtYH-McYvUYLNNg</recordid><startdate>20120706</startdate><enddate>20120706</enddate><creator>Zeng, Shanshan</creator><creator>Wang, Lu</creator><creator>Chen, Teng</creator><creator>Wang, Yuefei</creator><creator>Mo, Huanbiao</creator><creator>Qu, Haibin</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20120706</creationdate><title>Direct analysis in real time mass spectrometry and multivariate data analysis: A novel approach to rapid identification of analytical markers for quality control of traditional Chinese medicine preparation</title><author>Zeng, Shanshan ; Wang, Lu ; Chen, Teng ; Wang, Yuefei ; Mo, Huanbiao ; Qu, Haibin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-63daab27b46dcf30b9e36c051e4a4880a0213a374c84e104cba8bff185e654863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Aldehydes</topic><topic>Alkenes - analysis</topic><topic>Analytical chemistry</topic><topic>Analytical marker</topic><topic>Carbohydrates - analysis</topic><topic>Chemistry</topic><topic>Direct analysis in real time</topic><topic>Drugs, Chinese Herbal - chemistry</topic><topic>Exact sciences and technology</topic><topic>Markers</topic><topic>Mass spectrometry</topic><topic>Mass Spectrometry - economics</topic><topic>Mass Spectrometry - methods</topic><topic>Mathematical analysis</topic><topic>Multivariate Analysis</topic><topic>Polyphenols - analysis</topic><topic>Principal Component Analysis</topic><topic>Quality Control</topic><topic>Real time</topic><topic>Reproducibility of Results</topic><topic>Salvia miltiorrhiza - chemistry</topic><topic>Sensitivity and Specificity</topic><topic>Spectrometric and optical methods</topic><topic>Strategy</topic><topic>Time Factors</topic><topic>Traditional chinese medicine</topic><topic>Traditional Chinese medicine preparation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Shanshan</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Chen, Teng</creatorcontrib><creatorcontrib>Wang, Yuefei</creatorcontrib><creatorcontrib>Mo, Huanbiao</creatorcontrib><creatorcontrib>Qu, Haibin</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Analytica chimica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeng, Shanshan</au><au>Wang, Lu</au><au>Chen, Teng</au><au>Wang, Yuefei</au><au>Mo, Huanbiao</au><au>Qu, Haibin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Direct analysis in real time mass spectrometry and multivariate data analysis: A novel approach to rapid identification of analytical markers for quality control of traditional Chinese medicine preparation</atitle><jtitle>Analytica chimica acta</jtitle><addtitle>Anal Chim Acta</addtitle><date>2012-07-06</date><risdate>2012</risdate><volume>733</volume><spage>38</spage><epage>47</epage><pages>38-47</pages><issn>0003-2670</issn><eissn>1873-4324</eissn><coden>ACACAM</coden><abstract>[Display omitted] ► DART-MS combined with PCA was used to rapidly identify markers of herbal preparation. ► Salvianolic acids and saccharides were simultaneously determined with DART-MS. ► DART-MS spectra obtained from batches of Danshen injections were processed using PCA. ► Candidate markers of Danshen injection were recognized from the contribution plots. The paper presents a novel strategy to identify analytical markers of traditional Chinese medicine preparation (TCMP) rapidly via direct analysis in real time mass spectrometry (DART-MS). A commonly used TCMP, Danshen injection, was employed as a model. The optimal analysis conditions were achieved by measuring the contribution of various experimental parameters to the mass spectra. Salvianolic acids and saccharides were simultaneously determined within a single 1-min DART-MS run. Furthermore, spectra of Danshen injections supplied by five manufacturers were processed with principal component analysis (PCA). Obvious clustering was observed in the PCA score plot, and candidate markers were recognized from the contribution plots of PCA. The suitability of potential markers was then confirmed by contrasting with the results of traditional analysis methods. Using this strategy, fructose, glucose, sucrose, protocatechuic aldehyde and salvianolic acid A were rapidly identified as the markers of Danshen injections. The combination of DART-MS with PCA provides a reliable approach to the identification of analytical markers for quality control of TCMP.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>22704374</pmid><doi>10.1016/j.aca.2012.04.025</doi><tpages>10</tpages></addata></record>
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subjects Aldehydes
Alkenes - analysis
Analytical chemistry
Analytical marker
Carbohydrates - analysis
Chemistry
Direct analysis in real time
Drugs, Chinese Herbal - chemistry
Exact sciences and technology
Markers
Mass spectrometry
Mass Spectrometry - economics
Mass Spectrometry - methods
Mathematical analysis
Multivariate Analysis
Polyphenols - analysis
Principal Component Analysis
Quality Control
Real time
Reproducibility of Results
Salvia miltiorrhiza - chemistry
Sensitivity and Specificity
Spectrometric and optical methods
Strategy
Time Factors
Traditional chinese medicine
Traditional Chinese medicine preparation
title Direct analysis in real time mass spectrometry and multivariate data analysis: A novel approach to rapid identification of analytical markers for quality control of traditional Chinese medicine preparation
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