Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis

•Geographic authentication of rice is possible with elemental/isotope ratio analysis.•Mass spectrometry data could distinguish rice samples from six Asian countries.•Chemometric multivariate techniques clearly separated rice from Korea.•δ34S, Mn, and Mg are candidate biomarkers for Asian rice geogra...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Food chemistry 2018-02, Vol.240, p.840-849
Hauptverfasser: Chung, Ill-Min, Kim, Jae-Kwang, Lee, Kyoung-Jin, Park, Sung-Kyu, Lee, Ji-Hee, Son, Na-Young, Jin, Yong-Ik, Kim, Seung-Hyun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 849
container_issue
container_start_page 840
container_title Food chemistry
container_volume 240
creator Chung, Ill-Min
Kim, Jae-Kwang
Lee, Kyoung-Jin
Park, Sung-Kyu
Lee, Ji-Hee
Son, Na-Young
Jin, Yong-Ik
Kim, Seung-Hyun
description •Geographic authentication of rice is possible with elemental/isotope ratio analysis.•Mass spectrometry data could distinguish rice samples from six Asian countries.•Chemometric multivariate techniques clearly separated rice from Korea.•δ34S, Mn, and Mg are candidate biomarkers for Asian rice geographic authentication. Rice (Oryza sativa L.) is the world’s third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged asan important issue for enhancing human health via food safety and quality assurance. Here, we aimed to discriminate rice of six Asian countries through geographic authentication using combinations of elemental/isotopic composition analysis and chemometric techniques. Principal components analysis could distinguish samples cultivated from most countries, except for those cultivated in the Philippines and Japan. Furthermore, orthogonal projection to latent structure-discriminant analysis provided clear discrimination between rice cultivated in Korea and other countries. The major common variables responsible for differentiation in these models were δ34S, Mn, and Mg. Our findings contribute to understanding the variations of elemental and isotopic compositions in rice depending on geographic origins, and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of rice traded among Asian countries.
doi_str_mv 10.1016/j.foodchem.2017.08.023
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1943285237</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0308814617313419</els_id><sourcerecordid>1943285237</sourcerecordid><originalsourceid>FETCH-LOGICAL-c405t-1c3f3bf6cf8a17a6bb30702e369f5d1b4843ed0abab8c992d6a9c9c3ffcc661d3</originalsourceid><addsrcrecordid>eNqFkcFu1DAQhi1ERZe2r1D5WA4Jdpx1nBtVBQVppV7o2Rrbk65XSbzYzqLtM_DQuNqWK6c5zPfNaOYn5JqzmjMuP-_qIQRntzjVDeNdzVTNGvGOrLjqRNWxrnlPVkwwVSneynPyMaUdY6yw6gM5b1TfSrFmK_LnHsNThP3WWwpL3uKcvYXsw0zDQG-Th5lGb5HePMTjM9BUegegm_oTXZKfn-i0jNlXOOJUVBgpzI6mDGZE6lPIYV8GO8hAbZiMn9HR3z5vT9oBooeMxYHxmHy6JGcDjAmvXusFefz29efd92rzcP_j7nZT2Zatc8WtGIQZpB0U8A6kMYJ1rEEh-2HtuGlVK9AxMGCU7fvGSehtX6TBWim5Exfk5jR3H8OvBVPWk08WxxFmDEvSvG9Fo9aN6AoqT6iNIaWIg95HP0E8as70SxJ6p9-S0C9JaKZ0SaKI1687FjOh-6e9vb4AX04AlksPHqNO1uNs0fmINmsX_P92_AXbu6EX</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1943285237</pqid></control><display><type>article</type><title>Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Chung, Ill-Min ; Kim, Jae-Kwang ; Lee, Kyoung-Jin ; Park, Sung-Kyu ; Lee, Ji-Hee ; Son, Na-Young ; Jin, Yong-Ik ; Kim, Seung-Hyun</creator><creatorcontrib>Chung, Ill-Min ; Kim, Jae-Kwang ; Lee, Kyoung-Jin ; Park, Sung-Kyu ; Lee, Ji-Hee ; Son, Na-Young ; Jin, Yong-Ik ; Kim, Seung-Hyun</creatorcontrib><description>•Geographic authentication of rice is possible with elemental/isotope ratio analysis.•Mass spectrometry data could distinguish rice samples from six Asian countries.•Chemometric multivariate techniques clearly separated rice from Korea.•δ34S, Mn, and Mg are candidate biomarkers for Asian rice geographic authentication. Rice (Oryza sativa L.) is the world’s third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged asan important issue for enhancing human health via food safety and quality assurance. Here, we aimed to discriminate rice of six Asian countries through geographic authentication using combinations of elemental/isotopic composition analysis and chemometric techniques. Principal components analysis could distinguish samples cultivated from most countries, except for those cultivated in the Philippines and Japan. Furthermore, orthogonal projection to latent structure-discriminant analysis provided clear discrimination between rice cultivated in Korea and other countries. The major common variables responsible for differentiation in these models were δ34S, Mn, and Mg. Our findings contribute to understanding the variations of elemental and isotopic compositions in rice depending on geographic origins, and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of rice traded among Asian countries.</description><identifier>ISSN: 0308-8146</identifier><identifier>EISSN: 1873-7072</identifier><identifier>DOI: 10.1016/j.foodchem.2017.08.023</identifier><identifier>PMID: 28946350</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Asia ; Geographic origin ; Multielements ; Multivariate Analysis ; Oryza ; Rice ; Stable isotope ratios</subject><ispartof>Food chemistry, 2018-02, Vol.240, p.840-849</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright © 2017 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-1c3f3bf6cf8a17a6bb30702e369f5d1b4843ed0abab8c992d6a9c9c3ffcc661d3</citedby><cites>FETCH-LOGICAL-c405t-1c3f3bf6cf8a17a6bb30702e369f5d1b4843ed0abab8c992d6a9c9c3ffcc661d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.foodchem.2017.08.023$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28946350$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chung, Ill-Min</creatorcontrib><creatorcontrib>Kim, Jae-Kwang</creatorcontrib><creatorcontrib>Lee, Kyoung-Jin</creatorcontrib><creatorcontrib>Park, Sung-Kyu</creatorcontrib><creatorcontrib>Lee, Ji-Hee</creatorcontrib><creatorcontrib>Son, Na-Young</creatorcontrib><creatorcontrib>Jin, Yong-Ik</creatorcontrib><creatorcontrib>Kim, Seung-Hyun</creatorcontrib><title>Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis</title><title>Food chemistry</title><addtitle>Food Chem</addtitle><description>•Geographic authentication of rice is possible with elemental/isotope ratio analysis.•Mass spectrometry data could distinguish rice samples from six Asian countries.•Chemometric multivariate techniques clearly separated rice from Korea.•δ34S, Mn, and Mg are candidate biomarkers for Asian rice geographic authentication. Rice (Oryza sativa L.) is the world’s third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged asan important issue for enhancing human health via food safety and quality assurance. Here, we aimed to discriminate rice of six Asian countries through geographic authentication using combinations of elemental/isotopic composition analysis and chemometric techniques. Principal components analysis could distinguish samples cultivated from most countries, except for those cultivated in the Philippines and Japan. Furthermore, orthogonal projection to latent structure-discriminant analysis provided clear discrimination between rice cultivated in Korea and other countries. The major common variables responsible for differentiation in these models were δ34S, Mn, and Mg. Our findings contribute to understanding the variations of elemental and isotopic compositions in rice depending on geographic origins, and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of rice traded among Asian countries.</description><subject>Asia</subject><subject>Geographic origin</subject><subject>Multielements</subject><subject>Multivariate Analysis</subject><subject>Oryza</subject><subject>Rice</subject><subject>Stable isotope ratios</subject><issn>0308-8146</issn><issn>1873-7072</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkcFu1DAQhi1ERZe2r1D5WA4Jdpx1nBtVBQVppV7o2Rrbk65XSbzYzqLtM_DQuNqWK6c5zPfNaOYn5JqzmjMuP-_qIQRntzjVDeNdzVTNGvGOrLjqRNWxrnlPVkwwVSneynPyMaUdY6yw6gM5b1TfSrFmK_LnHsNThP3WWwpL3uKcvYXsw0zDQG-Th5lGb5HePMTjM9BUegegm_oTXZKfn-i0jNlXOOJUVBgpzI6mDGZE6lPIYV8GO8hAbZiMn9HR3z5vT9oBooeMxYHxmHy6JGcDjAmvXusFefz29efd92rzcP_j7nZT2Zatc8WtGIQZpB0U8A6kMYJ1rEEh-2HtuGlVK9AxMGCU7fvGSehtX6TBWim5Exfk5jR3H8OvBVPWk08WxxFmDEvSvG9Fo9aN6AoqT6iNIaWIg95HP0E8as70SxJ6p9-S0C9JaKZ0SaKI1687FjOh-6e9vb4AX04AlksPHqNO1uNs0fmINmsX_P92_AXbu6EX</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Chung, Ill-Min</creator><creator>Kim, Jae-Kwang</creator><creator>Lee, Kyoung-Jin</creator><creator>Park, Sung-Kyu</creator><creator>Lee, Ji-Hee</creator><creator>Son, Na-Young</creator><creator>Jin, Yong-Ik</creator><creator>Kim, Seung-Hyun</creator><general>Elsevier Ltd</general><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>20180201</creationdate><title>Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis</title><author>Chung, Ill-Min ; Kim, Jae-Kwang ; Lee, Kyoung-Jin ; Park, Sung-Kyu ; Lee, Ji-Hee ; Son, Na-Young ; Jin, Yong-Ik ; Kim, Seung-Hyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-1c3f3bf6cf8a17a6bb30702e369f5d1b4843ed0abab8c992d6a9c9c3ffcc661d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Asia</topic><topic>Geographic origin</topic><topic>Multielements</topic><topic>Multivariate Analysis</topic><topic>Oryza</topic><topic>Rice</topic><topic>Stable isotope ratios</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chung, Ill-Min</creatorcontrib><creatorcontrib>Kim, Jae-Kwang</creatorcontrib><creatorcontrib>Lee, Kyoung-Jin</creatorcontrib><creatorcontrib>Park, Sung-Kyu</creatorcontrib><creatorcontrib>Lee, Ji-Hee</creatorcontrib><creatorcontrib>Son, Na-Young</creatorcontrib><creatorcontrib>Jin, Yong-Ik</creatorcontrib><creatorcontrib>Kim, Seung-Hyun</creatorcontrib><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>Food chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chung, Ill-Min</au><au>Kim, Jae-Kwang</au><au>Lee, Kyoung-Jin</au><au>Park, Sung-Kyu</au><au>Lee, Ji-Hee</au><au>Son, Na-Young</au><au>Jin, Yong-Ik</au><au>Kim, Seung-Hyun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis</atitle><jtitle>Food chemistry</jtitle><addtitle>Food Chem</addtitle><date>2018-02-01</date><risdate>2018</risdate><volume>240</volume><spage>840</spage><epage>849</epage><pages>840-849</pages><issn>0308-8146</issn><eissn>1873-7072</eissn><abstract>•Geographic authentication of rice is possible with elemental/isotope ratio analysis.•Mass spectrometry data could distinguish rice samples from six Asian countries.•Chemometric multivariate techniques clearly separated rice from Korea.•δ34S, Mn, and Mg are candidate biomarkers for Asian rice geographic authentication. Rice (Oryza sativa L.) is the world’s third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged asan important issue for enhancing human health via food safety and quality assurance. Here, we aimed to discriminate rice of six Asian countries through geographic authentication using combinations of elemental/isotopic composition analysis and chemometric techniques. Principal components analysis could distinguish samples cultivated from most countries, except for those cultivated in the Philippines and Japan. Furthermore, orthogonal projection to latent structure-discriminant analysis provided clear discrimination between rice cultivated in Korea and other countries. The major common variables responsible for differentiation in these models were δ34S, Mn, and Mg. Our findings contribute to understanding the variations of elemental and isotopic compositions in rice depending on geographic origins, and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of rice traded among Asian countries.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>28946350</pmid><doi>10.1016/j.foodchem.2017.08.023</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0308-8146
ispartof Food chemistry, 2018-02, Vol.240, p.840-849
issn 0308-8146
1873-7072
language eng
recordid cdi_proquest_miscellaneous_1943285237
source MEDLINE; Elsevier ScienceDirect Journals
subjects Asia
Geographic origin
Multielements
Multivariate Analysis
Oryza
Rice
Stable isotope ratios
title Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T10%3A15%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Geographic%20authentication%20of%20Asian%20rice%20(Oryza%20sativa%20L.)%20using%20multi-elemental%20and%20stable%20isotopic%20data%20combined%20with%20multivariate%20analysis&rft.jtitle=Food%20chemistry&rft.au=Chung,%20Ill-Min&rft.date=2018-02-01&rft.volume=240&rft.spage=840&rft.epage=849&rft.pages=840-849&rft.issn=0308-8146&rft.eissn=1873-7072&rft_id=info:doi/10.1016/j.foodchem.2017.08.023&rft_dat=%3Cproquest_cross%3E1943285237%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1943285237&rft_id=info:pmid/28946350&rft_els_id=S0308814617313419&rfr_iscdi=true