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Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials
Geographical origin and authenticity are two core factors to promote the development of traditional Chinese medicine (TCM) herbs perception in terms of quality and price. Therefore, they are important to both sellers and consumers. Herein, we propose an efficient, accurate method for discrimination...
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Published in: | RSC advances 2022-06, Vol.12 (26), p.16886-16892 |
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description | Geographical origin and authenticity are two core factors to promote the development of traditional Chinese medicine (TCM) herbs perception in terms of quality and price. Therefore, they are important to both sellers and consumers. Herein, we propose an efficient, accurate method for discrimination of genuine and non-authentic producing areas of TCM by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Take
Atractylodes macrocephala
Koidz (AMK) of compositae as an example, the MALDI-TOF MS spectra data of 120 AMK samples aided by principal component analysis-linear discriminant analysis (PCA-LDA), partial least squares discriminant analysis (PLS-DA) and random forest (RF) successfully differentiated Zhejiang province, Anhui province and Hunan province AMK according to their geographical location of origin. The correct classification rates of test set were above 93.3%. Furthermore, 5 recollected AMK samples were used to verify the performance of the classification models. The outcome of this study can be a good resource in building a database for AMK. The combined utility of MALDI-TOF MS and chemometrics is expected to be expanded and applied to the origin traceability of other TCMs.
The flow chart for geographical origin traceability of AMK based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics. |
doi_str_mv | 10.1039/d2ra02040h |
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Atractylodes macrocephala
Koidz (AMK) of compositae as an example, the MALDI-TOF MS spectra data of 120 AMK samples aided by principal component analysis-linear discriminant analysis (PCA-LDA), partial least squares discriminant analysis (PLS-DA) and random forest (RF) successfully differentiated Zhejiang province, Anhui province and Hunan province AMK according to their geographical location of origin. The correct classification rates of test set were above 93.3%. Furthermore, 5 recollected AMK samples were used to verify the performance of the classification models. The outcome of this study can be a good resource in building a database for AMK. The combined utility of MALDI-TOF MS and chemometrics is expected to be expanded and applied to the origin traceability of other TCMs.
The flow chart for geographical origin traceability of AMK based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics.</description><identifier>ISSN: 2046-2069</identifier><identifier>EISSN: 2046-2069</identifier><identifier>DOI: 10.1039/d2ra02040h</identifier><identifier>PMID: 35754890</identifier><language>eng</language><publisher>Cambridge: Royal Society of Chemistry</publisher><subject>Chemistry ; Chemometrics ; Chinese medicine ; Classification ; Desorption ; Discriminant analysis ; Geographical locations ; Ionization ; Ions ; Mass spectrometry ; Principal components analysis ; Scientific imaging ; Spectroscopy ; Traditional Chinese medicine</subject><ispartof>RSC advances, 2022-06, Vol.12 (26), p.16886-16892</ispartof><rights>Copyright Royal Society of Chemistry 2022</rights><rights>This journal is © The Royal Society of Chemistry 2022 The Royal Society of Chemistry</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-3ddf82daf2163ff2104a68a3a5e79974970855db39504b22f320b997173f3303</citedby><cites>FETCH-LOGICAL-c405t-3ddf82daf2163ff2104a68a3a5e79974970855db39504b22f320b997173f3303</cites><orcidid>0000-0002-0932-6889 ; 0000-0001-9440-8899 ; 0000-0003-4483-2557</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171747/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171747/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><creatorcontrib>Fang, Huan</creatorcontrib><creatorcontrib>Chen, Yue</creatorcontrib><creatorcontrib>Wu, Hai-Long</creatorcontrib><creatorcontrib>Chen, Yao</creatorcontrib><creatorcontrib>Wang, Tong</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><creatorcontrib>Fu, Hai-Yan</creatorcontrib><creatorcontrib>Yang, Xiao-Long</creatorcontrib><creatorcontrib>Li, Xu-Fu</creatorcontrib><creatorcontrib>Yu, Ru-Qin</creatorcontrib><title>Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials</title><title>RSC advances</title><description>Geographical origin and authenticity are two core factors to promote the development of traditional Chinese medicine (TCM) herbs perception in terms of quality and price. Therefore, they are important to both sellers and consumers. Herein, we propose an efficient, accurate method for discrimination of genuine and non-authentic producing areas of TCM by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Take
Atractylodes macrocephala
Koidz (AMK) of compositae as an example, the MALDI-TOF MS spectra data of 120 AMK samples aided by principal component analysis-linear discriminant analysis (PCA-LDA), partial least squares discriminant analysis (PLS-DA) and random forest (RF) successfully differentiated Zhejiang province, Anhui province and Hunan province AMK according to their geographical location of origin. The correct classification rates of test set were above 93.3%. Furthermore, 5 recollected AMK samples were used to verify the performance of the classification models. The outcome of this study can be a good resource in building a database for AMK. The combined utility of MALDI-TOF MS and chemometrics is expected to be expanded and applied to the origin traceability of other TCMs.
The flow chart for geographical origin traceability of AMK based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics.</description><subject>Chemistry</subject><subject>Chemometrics</subject><subject>Chinese medicine</subject><subject>Classification</subject><subject>Desorption</subject><subject>Discriminant analysis</subject><subject>Geographical locations</subject><subject>Ionization</subject><subject>Ions</subject><subject>Mass spectrometry</subject><subject>Principal components analysis</subject><subject>Scientific imaging</subject><subject>Spectroscopy</subject><subject>Traditional Chinese medicine</subject><issn>2046-2069</issn><issn>2046-2069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpdkl1rFTEQhoMottTeeC8EvBFhbT53NzdCOVYrVATpfcjm4-yU3c0xyame_hf_qzk9pX4EkndgnnmZYYLQS0reUcLVmWPJEEYEGZ-g46ptw0irnv4VH6HTnG9IPa2krKXP0RGXnRS9Isfo1xdTEvxsTM6Qi3d4Mtkn7HyOaVMgLmf1wp3Zh7jA7JsYmjDBeix4rkU4b7wtKc6-pB22cR5gqS4_oIzYjn6-T4DNuEQMzi8Fwg6X0eOYYA0LjgGvxlqSPZ69AwuLmapx8QnMlF-gZ6GKP33QE3T98eJ6ddlcff30eXV-1VhBZGm4c6FnzgRGWx7qS4Rpe8ON9J1SnVAd6aV0A1eSiIGxwBkZaoJ2PHBO-Al6f7DdbIfaha1tJjPpTYLZpJ2OBvS_mQVGvY63WtHqIbpq8ObBIMXvW5-LniFbP01m8XGbNWt7KoSUPa_o6__Qm7hNdeo91QnOREtVpd4eKJtizsmHx2Yo0fu96w_s2_n93i8r_OoAp2wfuT__gv8GW7CsJQ</recordid><startdate>20220607</startdate><enddate>20220607</enddate><creator>Fang, Huan</creator><creator>Chen, Yue</creator><creator>Wu, Hai-Long</creator><creator>Chen, Yao</creator><creator>Wang, Tong</creator><creator>Yang, Jian</creator><creator>Fu, Hai-Yan</creator><creator>Yang, Xiao-Long</creator><creator>Li, Xu-Fu</creator><creator>Yu, Ru-Qin</creator><general>Royal Society of Chemistry</general><general>The Royal Society of Chemistry</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0932-6889</orcidid><orcidid>https://orcid.org/0000-0001-9440-8899</orcidid><orcidid>https://orcid.org/0000-0003-4483-2557</orcidid></search><sort><creationdate>20220607</creationdate><title>Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials</title><author>Fang, Huan ; Chen, Yue ; Wu, Hai-Long ; Chen, Yao ; Wang, Tong ; Yang, Jian ; Fu, Hai-Yan ; Yang, Xiao-Long ; Li, Xu-Fu ; Yu, Ru-Qin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-3ddf82daf2163ff2104a68a3a5e79974970855db39504b22f320b997173f3303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Chemistry</topic><topic>Chemometrics</topic><topic>Chinese medicine</topic><topic>Classification</topic><topic>Desorption</topic><topic>Discriminant analysis</topic><topic>Geographical locations</topic><topic>Ionization</topic><topic>Ions</topic><topic>Mass spectrometry</topic><topic>Principal components analysis</topic><topic>Scientific imaging</topic><topic>Spectroscopy</topic><topic>Traditional Chinese medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Huan</creatorcontrib><creatorcontrib>Chen, Yue</creatorcontrib><creatorcontrib>Wu, Hai-Long</creatorcontrib><creatorcontrib>Chen, Yao</creatorcontrib><creatorcontrib>Wang, Tong</creatorcontrib><creatorcontrib>Yang, Jian</creatorcontrib><creatorcontrib>Fu, Hai-Yan</creatorcontrib><creatorcontrib>Yang, Xiao-Long</creatorcontrib><creatorcontrib>Li, Xu-Fu</creatorcontrib><creatorcontrib>Yu, Ru-Qin</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>RSC advances</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fang, Huan</au><au>Chen, Yue</au><au>Wu, Hai-Long</au><au>Chen, Yao</au><au>Wang, Tong</au><au>Yang, Jian</au><au>Fu, Hai-Yan</au><au>Yang, Xiao-Long</au><au>Li, Xu-Fu</au><au>Yu, Ru-Qin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials</atitle><jtitle>RSC advances</jtitle><date>2022-06-07</date><risdate>2022</risdate><volume>12</volume><issue>26</issue><spage>16886</spage><epage>16892</epage><pages>16886-16892</pages><issn>2046-2069</issn><eissn>2046-2069</eissn><abstract>Geographical origin and authenticity are two core factors to promote the development of traditional Chinese medicine (TCM) herbs perception in terms of quality and price. Therefore, they are important to both sellers and consumers. Herein, we propose an efficient, accurate method for discrimination of genuine and non-authentic producing areas of TCM by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Take
Atractylodes macrocephala
Koidz (AMK) of compositae as an example, the MALDI-TOF MS spectra data of 120 AMK samples aided by principal component analysis-linear discriminant analysis (PCA-LDA), partial least squares discriminant analysis (PLS-DA) and random forest (RF) successfully differentiated Zhejiang province, Anhui province and Hunan province AMK according to their geographical location of origin. The correct classification rates of test set were above 93.3%. Furthermore, 5 recollected AMK samples were used to verify the performance of the classification models. The outcome of this study can be a good resource in building a database for AMK. The combined utility of MALDI-TOF MS and chemometrics is expected to be expanded and applied to the origin traceability of other TCMs.
The flow chart for geographical origin traceability of AMK based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics.</abstract><cop>Cambridge</cop><pub>Royal Society of Chemistry</pub><pmid>35754890</pmid><doi>10.1039/d2ra02040h</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-0932-6889</orcidid><orcidid>https://orcid.org/0000-0001-9440-8899</orcidid><orcidid>https://orcid.org/0000-0003-4483-2557</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Chemistry Chemometrics Chinese medicine Classification Desorption Discriminant analysis Geographical locations Ionization Ions Mass spectrometry Principal components analysis Scientific imaging Spectroscopy Traditional Chinese medicine |
title | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with chemometrics to identify the origin of Chinese medicinal materials |
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