Gas chromatography–mass spectrometry based metabolic profiling for the identification of discrimination markers of Angelicae Radix and its application to gas chromatography–flame ionization detector system
Gas chromatography (GC)-based metabolomics technologies were applied for quality control of Angelicae Radix, an herbal medicine commonly used in Japan and China. Since Angelica roots are priced and graded differently based on their species and cultivation area, there is a need for a simple and repro...
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| Veröffentlicht in: | Journal of bioscience and bioengineering 2012-08, Vol.114 (2), p.232-236 |
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| container_title | Journal of bioscience and bioengineering |
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| creator | Kobayashi, Shizu Putri, Sastia Prama Yamamoto, Yutaka Donghyo, Kang Bamba, Takeshi Fukusaki, Eiichiro |
| description | Gas chromatography (GC)-based metabolomics technologies were applied for quality control of Angelicae Radix, an herbal medicine commonly used in Japan and China. Since Angelica roots are priced and graded differently based on their species and cultivation area, there is a need for a simple and reproducible method to discriminate Angelica roots. Here, we used GC–MS profiling data to construct a discrimination method for species and cultivation area of A. Radix. Seventy-six primary metabolites were identified. The quality factors of A. Radix were successfully classified using metabolic profiling and the orthogonal projections to latent structures-discriminant analysis (OPLS-DA) technique. Sorbitol and a glucose/4-aminobutyric acid combination were chosen as bio-markers from S-plot of OPLS-DA. Application of these selected bio-markers to a more practical and cost-efficient system, namely gas chromatography–flame ionization detector (GC–FID) system were also assessed. As a result, the same separations of sorbitol, glucose and 4-aminobutyric acid in box plots were obtained from GC–FID data. Our results demonstrate that GC-based metabolic markers can be readily applied for the establishment of a practical quality control method for A. Radix. |
| doi_str_mv | 10.1016/j.jbiosc.2012.03.022 |
| format | Article |
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Since Angelica roots are priced and graded differently based on their species and cultivation area, there is a need for a simple and reproducible method to discriminate Angelica roots. Here, we used GC–MS profiling data to construct a discrimination method for species and cultivation area of A. Radix. Seventy-six primary metabolites were identified. The quality factors of A. Radix were successfully classified using metabolic profiling and the orthogonal projections to latent structures-discriminant analysis (OPLS-DA) technique. Sorbitol and a glucose/4-aminobutyric acid combination were chosen as bio-markers from S-plot of OPLS-DA. Application of these selected bio-markers to a more practical and cost-efficient system, namely gas chromatography–flame ionization detector (GC–FID) system were also assessed. As a result, the same separations of sorbitol, glucose and 4-aminobutyric acid in box plots were obtained from GC–FID data. Our results demonstrate that GC-based metabolic markers can be readily applied for the establishment of a practical quality control method for A. Radix.</description><identifier>ISSN: 1389-1723</identifier><identifier>EISSN: 1347-4421</identifier><identifier>DOI: 10.1016/j.jbiosc.2012.03.022</identifier><identifier>PMID: 22633242</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Angelica ; Angelica - chemistry ; Angelica - metabolism ; Angelicae Radix ; Biological and medical sciences ; biomarkers ; Biomarkers - analysis ; Biomarkers - chemistry ; Biomarkers - metabolism ; Biotechnology ; control methods ; cost effectiveness ; Discriminant Analysis ; Drugs, Chinese Herbal ; Flame Ionization - methods ; Fundamental and applied biological sciences. Psychology ; gamma-Aminobutyric Acid - analysis ; gamma-Aminobutyric Acid - chemistry ; gamma-Aminobutyric Acid - metabolism ; gas chromatography-mass spectrometry ; Gas Chromatography-Mass Spectrometry - methods ; Gas chromatography–flame ionization detector (GC–FID) ; Gas chromatography–mass spectrometry (GC–MS) ; glucose ; Glucose - analysis ; Glucose - chemistry ; Glucose - metabolism ; herbal medicines ; ionization ; Japan ; metabolites ; Metabolome ; Metabolomics ; Metabolomics - instrumentation ; Metabolomics - methods ; Plant Roots - chemistry ; Plants, Medicinal - chemistry ; Quality Control ; roots ; sorbitol ; Sorbitol - analysis ; Sorbitol - chemistry ; Sorbitol - metabolism</subject><ispartof>Journal of bioscience and bioengineering, 2012-08, Vol.114 (2), p.232-236</ispartof><rights>2012 The Society for Biotechnology, Japan</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2012 The Society for Biotechnology, Japan. Published by Elsevier B.V. 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Since Angelica roots are priced and graded differently based on their species and cultivation area, there is a need for a simple and reproducible method to discriminate Angelica roots. Here, we used GC–MS profiling data to construct a discrimination method for species and cultivation area of A. Radix. Seventy-six primary metabolites were identified. The quality factors of A. Radix were successfully classified using metabolic profiling and the orthogonal projections to latent structures-discriminant analysis (OPLS-DA) technique. Sorbitol and a glucose/4-aminobutyric acid combination were chosen as bio-markers from S-plot of OPLS-DA. Application of these selected bio-markers to a more practical and cost-efficient system, namely gas chromatography–flame ionization detector (GC–FID) system were also assessed. As a result, the same separations of sorbitol, glucose and 4-aminobutyric acid in box plots were obtained from GC–FID data. Our results demonstrate that GC-based metabolic markers can be readily applied for the establishment of a practical quality control method for A. Radix.</description><subject>Angelica</subject><subject>Angelica - chemistry</subject><subject>Angelica - metabolism</subject><subject>Angelicae Radix</subject><subject>Biological and medical sciences</subject><subject>biomarkers</subject><subject>Biomarkers - analysis</subject><subject>Biomarkers - chemistry</subject><subject>Biomarkers - metabolism</subject><subject>Biotechnology</subject><subject>control methods</subject><subject>cost effectiveness</subject><subject>Discriminant Analysis</subject><subject>Drugs, Chinese Herbal</subject><subject>Flame Ionization - methods</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>gamma-Aminobutyric Acid - analysis</subject><subject>gamma-Aminobutyric Acid - chemistry</subject><subject>gamma-Aminobutyric Acid - metabolism</subject><subject>gas chromatography-mass spectrometry</subject><subject>Gas Chromatography-Mass Spectrometry - methods</subject><subject>Gas chromatography–flame ionization detector (GC–FID)</subject><subject>Gas chromatography–mass spectrometry (GC–MS)</subject><subject>glucose</subject><subject>Glucose - analysis</subject><subject>Glucose - chemistry</subject><subject>Glucose - metabolism</subject><subject>herbal medicines</subject><subject>ionization</subject><subject>Japan</subject><subject>metabolites</subject><subject>Metabolome</subject><subject>Metabolomics</subject><subject>Metabolomics - instrumentation</subject><subject>Metabolomics - methods</subject><subject>Plant Roots - chemistry</subject><subject>Plants, Medicinal - chemistry</subject><subject>Quality Control</subject><subject>roots</subject><subject>sorbitol</subject><subject>Sorbitol - analysis</subject><subject>Sorbitol - chemistry</subject><subject>Sorbitol - metabolism</subject><issn>1389-1723</issn><issn>1347-4421</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9ks2KFDEQxxtR3HX1DURzEbzMmI_-vAjLoquwIKh7DtVJZSZjd6dNsuJ48h18Ml_BJ7GGntWLeKoi9UtV5f9PUTwWfC24qF_s1rveh2TWkgu55mrNpbxTnApVNquylOLuIW-7lWikOikepLTjXDS8EfeLEylrpWQpT4ufl5CY2cYwQg6bCPN2_-v7jxFSYmlGk6mAOe5ZDwktoxz6MHjD5hicH_y0YS5ElrfIvMUpe-cNZB8mFhyzPpnoRz8tJyPETxjToXI-bZC6ALL3YP1XBpNlPicG8zzcNsiBbf61mxtgpGlh8t8W0GKmRWmLtE8Zx4fFPQdDwkfHeFZcv3718eLN6urd5duL86uVqXiXV6LsehB9pxqJ2FSqRislNK7uXNu2XYXWgRBYCSsJchygcz2FuuKNdE2jzornS1-S4vMNpqxHei8OA0wYbpIWXCrZyaasCS0X1MSQUkSnZ9IF4p4gfTBT7_Ripj6YqbnSZCZde3KccNOPaP9cunWPgGdHAJKBwUWYjE9_uVqJtpUdcU8XzkHQsInEXH-gSTWnL6FUXRHxciGQFPviMepkPE4GrY8krrbB_3_X35Cf0UU</recordid><startdate>20120801</startdate><enddate>20120801</enddate><creator>Kobayashi, Shizu</creator><creator>Putri, Sastia Prama</creator><creator>Yamamoto, Yutaka</creator><creator>Donghyo, Kang</creator><creator>Bamba, Takeshi</creator><creator>Fukusaki, Eiichiro</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>FBQ</scope><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></search><sort><creationdate>20120801</creationdate><title>Gas chromatography–mass spectrometry based metabolic profiling for the identification of discrimination markers of Angelicae Radix and its application to gas chromatography–flame ionization detector system</title><author>Kobayashi, Shizu ; Putri, Sastia Prama ; Yamamoto, Yutaka ; Donghyo, Kang ; Bamba, Takeshi ; Fukusaki, Eiichiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-149ba1b9372ee7536ed22a7f69f88895edfa11e51d2b93f0aa9fbf0a65072f773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Angelica</topic><topic>Angelica - chemistry</topic><topic>Angelica - metabolism</topic><topic>Angelicae Radix</topic><topic>Biological and medical sciences</topic><topic>biomarkers</topic><topic>Biomarkers - analysis</topic><topic>Biomarkers - chemistry</topic><topic>Biomarkers - metabolism</topic><topic>Biotechnology</topic><topic>control methods</topic><topic>cost effectiveness</topic><topic>Discriminant Analysis</topic><topic>Drugs, Chinese Herbal</topic><topic>Flame Ionization - methods</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>gamma-Aminobutyric Acid - analysis</topic><topic>gamma-Aminobutyric Acid - chemistry</topic><topic>gamma-Aminobutyric Acid - metabolism</topic><topic>gas chromatography-mass spectrometry</topic><topic>Gas Chromatography-Mass Spectrometry - methods</topic><topic>Gas chromatography–flame ionization detector (GC–FID)</topic><topic>Gas chromatography–mass spectrometry (GC–MS)</topic><topic>glucose</topic><topic>Glucose - analysis</topic><topic>Glucose - chemistry</topic><topic>Glucose - metabolism</topic><topic>herbal medicines</topic><topic>ionization</topic><topic>Japan</topic><topic>metabolites</topic><topic>Metabolome</topic><topic>Metabolomics</topic><topic>Metabolomics - instrumentation</topic><topic>Metabolomics - methods</topic><topic>Plant Roots - chemistry</topic><topic>Plants, Medicinal - chemistry</topic><topic>Quality Control</topic><topic>roots</topic><topic>sorbitol</topic><topic>Sorbitol - analysis</topic><topic>Sorbitol - chemistry</topic><topic>Sorbitol - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kobayashi, Shizu</creatorcontrib><creatorcontrib>Putri, Sastia Prama</creatorcontrib><creatorcontrib>Yamamoto, Yutaka</creatorcontrib><creatorcontrib>Donghyo, Kang</creatorcontrib><creatorcontrib>Bamba, Takeshi</creatorcontrib><creatorcontrib>Fukusaki, Eiichiro</creatorcontrib><collection>AGRIS</collection><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><jtitle>Journal of bioscience and bioengineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kobayashi, Shizu</au><au>Putri, Sastia Prama</au><au>Yamamoto, Yutaka</au><au>Donghyo, Kang</au><au>Bamba, Takeshi</au><au>Fukusaki, Eiichiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gas chromatography–mass spectrometry based metabolic profiling for the identification of discrimination markers of Angelicae Radix and its application to gas chromatography–flame ionization detector system</atitle><jtitle>Journal of bioscience and bioengineering</jtitle><addtitle>J Biosci Bioeng</addtitle><date>2012-08-01</date><risdate>2012</risdate><volume>114</volume><issue>2</issue><spage>232</spage><epage>236</epage><pages>232-236</pages><issn>1389-1723</issn><eissn>1347-4421</eissn><abstract>Gas chromatography (GC)-based metabolomics technologies were applied for quality control of Angelicae Radix, an herbal medicine commonly used in Japan and China. Since Angelica roots are priced and graded differently based on their species and cultivation area, there is a need for a simple and reproducible method to discriminate Angelica roots. Here, we used GC–MS profiling data to construct a discrimination method for species and cultivation area of A. Radix. Seventy-six primary metabolites were identified. The quality factors of A. Radix were successfully classified using metabolic profiling and the orthogonal projections to latent structures-discriminant analysis (OPLS-DA) technique. Sorbitol and a glucose/4-aminobutyric acid combination were chosen as bio-markers from S-plot of OPLS-DA. Application of these selected bio-markers to a more practical and cost-efficient system, namely gas chromatography–flame ionization detector (GC–FID) system were also assessed. As a result, the same separations of sorbitol, glucose and 4-aminobutyric acid in box plots were obtained from GC–FID data. Our results demonstrate that GC-based metabolic markers can be readily applied for the establishment of a practical quality control method for A. Radix.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>22633242</pmid><doi>10.1016/j.jbiosc.2012.03.022</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1389-1723 |
| ispartof | Journal of bioscience and bioengineering, 2012-08, Vol.114 (2), p.232-236 |
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| language | eng |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Angelica Angelica - chemistry Angelica - metabolism Angelicae Radix Biological and medical sciences biomarkers Biomarkers - analysis Biomarkers - chemistry Biomarkers - metabolism Biotechnology control methods cost effectiveness Discriminant Analysis Drugs, Chinese Herbal Flame Ionization - methods Fundamental and applied biological sciences. Psychology gamma-Aminobutyric Acid - analysis gamma-Aminobutyric Acid - chemistry gamma-Aminobutyric Acid - metabolism gas chromatography-mass spectrometry Gas Chromatography-Mass Spectrometry - methods Gas chromatography–flame ionization detector (GC–FID) Gas chromatography–mass spectrometry (GC–MS) glucose Glucose - analysis Glucose - chemistry Glucose - metabolism herbal medicines ionization Japan metabolites Metabolome Metabolomics Metabolomics - instrumentation Metabolomics - methods Plant Roots - chemistry Plants, Medicinal - chemistry Quality Control roots sorbitol Sorbitol - analysis Sorbitol - chemistry Sorbitol - metabolism |
| title | Gas chromatography–mass spectrometry based metabolic profiling for the identification of discrimination markers of Angelicae Radix and its application to gas chromatography–flame ionization detector system |
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