Comparison between ATR-IR, Raman, concatenated ATR-IR and Raman spectroscopy for the determination of total antioxidant capacity and total phenolic content of Chinese rice wine
•RS and ATR-IR were firstly applied to determine TAC and TPC in Chinese rice wine.•Models based on RS and ATR-IR were systemically compared and discussed.•Combination of RS and ATR-IR were firstly used to predict TAC and TPC in wine. The application of attenuated total reflectance infrared spectrosc...
Gespeichert in:
Veröffentlicht in: | Food chemistry 2016-03, Vol.194, p.671-679 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 679 |
---|---|
container_issue | |
container_start_page | 671 |
container_title | Food chemistry |
container_volume | 194 |
creator | Wu, Zhengzong Xu, Enbo Long, Jie Pan, Xiaowei Xu, Xueming Jin, Zhengyu Jiao, Aiquan |
description | •RS and ATR-IR were firstly applied to determine TAC and TPC in Chinese rice wine.•Models based on RS and ATR-IR were systemically compared and discussed.•Combination of RS and ATR-IR were firstly used to predict TAC and TPC in wine.
The application of attenuated total reflectance infrared spectroscopy (ATR-IR), Raman spectroscopy (RS) and combination of ATR-IR and RS for measurements of total antioxidant capacity (TAC) and total phenolic content (TPC) of Chinese rice wine (CRW) were investigated in this study. Synergy interval partial least-squares (SiPLS), support vector machine (SVM) and principal component analysis (PCA) were applied to process the merged data from two individual instruments. It was observed that the performances of models based on the RS spectra were better than those based on the ATR-IR spectra. In addition, SVM models based on the efficient information extracted from ATR-IR and RS spectra were superior to PLS models based on the same information and PLS models based on ATR-IR or RS spectra. The overall results demonstrated that integrating ATR-IR and RS was possible and could improve the prediction accuracy of TAC and TPC in CRWs. |
doi_str_mv | 10.1016/j.foodchem.2015.08.071 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1722926687</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0308814615012698</els_id><sourcerecordid>1722926687</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-6a623af351fbd0bfc1cfe0f256f81ccd801b80382277aa134dd1d1cecdd34903</originalsourceid><addsrcrecordid>eNqFUc1uGyEQRlWrxnH7ChHHHrJbYNcsuTWy2iZSpEqW74gdBhnLu2wBN_Vb5RGLu06vPaABfX9iPkJuOKs54_LzvnYhWNjhUAvGVzVTNev4G7LgqmuqjnXiLVmwhqlK8VZekeuU9oyxwlXvyZWQbcclkwvysg7DZKJPYaQ95mfEkd5vN9Xj5pZuzGDGWwphBJNxLMdeMGpGO8M0TQg5hgRhOlEXIs07pBYzxsEXiS--wdEcsjkUVXn_9rZMCmYy4PPpr9UMTzscw8HDObHk5bNwvfMjJqTRA9Lncv9A3jlzSPjxMpdk--3rdv1QPf34_ri-f6qgbdpcSSNFY1yz4q63rHfAwSFzYiWd4gBWMd4r1ighus4Y3rTWcssBwdqmvWPNknyabacYfh4xZT34BHg4mBHDMWneCXEnpCzbXhI5U6GsIUV0eop-MPGkOdPnsvRev5alz2VppnQpqwhvLhnHfkD7T_baTiF8mQlYPvrLY9QJPI6A1seydW2D_1_GH3hhrJo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1722926687</pqid></control><display><type>article</type><title>Comparison between ATR-IR, Raman, concatenated ATR-IR and Raman spectroscopy for the determination of total antioxidant capacity and total phenolic content of Chinese rice wine</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Wu, Zhengzong ; Xu, Enbo ; Long, Jie ; Pan, Xiaowei ; Xu, Xueming ; Jin, Zhengyu ; Jiao, Aiquan</creator><creatorcontrib>Wu, Zhengzong ; Xu, Enbo ; Long, Jie ; Pan, Xiaowei ; Xu, Xueming ; Jin, Zhengyu ; Jiao, Aiquan</creatorcontrib><description>•RS and ATR-IR were firstly applied to determine TAC and TPC in Chinese rice wine.•Models based on RS and ATR-IR were systemically compared and discussed.•Combination of RS and ATR-IR were firstly used to predict TAC and TPC in wine.
The application of attenuated total reflectance infrared spectroscopy (ATR-IR), Raman spectroscopy (RS) and combination of ATR-IR and RS for measurements of total antioxidant capacity (TAC) and total phenolic content (TPC) of Chinese rice wine (CRW) were investigated in this study. Synergy interval partial least-squares (SiPLS), support vector machine (SVM) and principal component analysis (PCA) were applied to process the merged data from two individual instruments. It was observed that the performances of models based on the RS spectra were better than those based on the ATR-IR spectra. In addition, SVM models based on the efficient information extracted from ATR-IR and RS spectra were superior to PLS models based on the same information and PLS models based on ATR-IR or RS spectra. The overall results demonstrated that integrating ATR-IR and RS was possible and could improve the prediction accuracy of TAC and TPC in CRWs.</description><identifier>ISSN: 0308-8146</identifier><identifier>EISSN: 1873-7072</identifier><identifier>DOI: 10.1016/j.foodchem.2015.08.071</identifier><identifier>PMID: 26471606</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Antioxidants - analysis ; Chinese rice wine ; Data fusion ; Least-Squares Analysis ; Models, Chemical ; Oryza ; Phenols - analysis ; Principal Component Analysis ; Spectrum Analysis ; Support Vector Machine ; Total antioxidant capacity ; Total phenolic content ; Wine - analysis</subject><ispartof>Food chemistry, 2016-03, Vol.194, p.671-679</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright © 2015 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-6a623af351fbd0bfc1cfe0f256f81ccd801b80382277aa134dd1d1cecdd34903</citedby><cites>FETCH-LOGICAL-c434t-6a623af351fbd0bfc1cfe0f256f81ccd801b80382277aa134dd1d1cecdd34903</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.2015.08.071$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26471606$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Zhengzong</creatorcontrib><creatorcontrib>Xu, Enbo</creatorcontrib><creatorcontrib>Long, Jie</creatorcontrib><creatorcontrib>Pan, Xiaowei</creatorcontrib><creatorcontrib>Xu, Xueming</creatorcontrib><creatorcontrib>Jin, Zhengyu</creatorcontrib><creatorcontrib>Jiao, Aiquan</creatorcontrib><title>Comparison between ATR-IR, Raman, concatenated ATR-IR and Raman spectroscopy for the determination of total antioxidant capacity and total phenolic content of Chinese rice wine</title><title>Food chemistry</title><addtitle>Food Chem</addtitle><description>•RS and ATR-IR were firstly applied to determine TAC and TPC in Chinese rice wine.•Models based on RS and ATR-IR were systemically compared and discussed.•Combination of RS and ATR-IR were firstly used to predict TAC and TPC in wine.
The application of attenuated total reflectance infrared spectroscopy (ATR-IR), Raman spectroscopy (RS) and combination of ATR-IR and RS for measurements of total antioxidant capacity (TAC) and total phenolic content (TPC) of Chinese rice wine (CRW) were investigated in this study. Synergy interval partial least-squares (SiPLS), support vector machine (SVM) and principal component analysis (PCA) were applied to process the merged data from two individual instruments. It was observed that the performances of models based on the RS spectra were better than those based on the ATR-IR spectra. In addition, SVM models based on the efficient information extracted from ATR-IR and RS spectra were superior to PLS models based on the same information and PLS models based on ATR-IR or RS spectra. The overall results demonstrated that integrating ATR-IR and RS was possible and could improve the prediction accuracy of TAC and TPC in CRWs.</description><subject>Antioxidants - analysis</subject><subject>Chinese rice wine</subject><subject>Data fusion</subject><subject>Least-Squares Analysis</subject><subject>Models, Chemical</subject><subject>Oryza</subject><subject>Phenols - analysis</subject><subject>Principal Component Analysis</subject><subject>Spectrum Analysis</subject><subject>Support Vector Machine</subject><subject>Total antioxidant capacity</subject><subject>Total phenolic content</subject><subject>Wine - analysis</subject><issn>0308-8146</issn><issn>1873-7072</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUc1uGyEQRlWrxnH7ChHHHrJbYNcsuTWy2iZSpEqW74gdBhnLu2wBN_Vb5RGLu06vPaABfX9iPkJuOKs54_LzvnYhWNjhUAvGVzVTNev4G7LgqmuqjnXiLVmwhqlK8VZekeuU9oyxwlXvyZWQbcclkwvysg7DZKJPYaQ95mfEkd5vN9Xj5pZuzGDGWwphBJNxLMdeMGpGO8M0TQg5hgRhOlEXIs07pBYzxsEXiS--wdEcsjkUVXn_9rZMCmYy4PPpr9UMTzscw8HDObHk5bNwvfMjJqTRA9Lncv9A3jlzSPjxMpdk--3rdv1QPf34_ri-f6qgbdpcSSNFY1yz4q63rHfAwSFzYiWd4gBWMd4r1ighus4Y3rTWcssBwdqmvWPNknyabacYfh4xZT34BHg4mBHDMWneCXEnpCzbXhI5U6GsIUV0eop-MPGkOdPnsvRev5alz2VppnQpqwhvLhnHfkD7T_baTiF8mQlYPvrLY9QJPI6A1seydW2D_1_GH3hhrJo</recordid><startdate>20160301</startdate><enddate>20160301</enddate><creator>Wu, Zhengzong</creator><creator>Xu, Enbo</creator><creator>Long, Jie</creator><creator>Pan, Xiaowei</creator><creator>Xu, Xueming</creator><creator>Jin, Zhengyu</creator><creator>Jiao, Aiquan</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>20160301</creationdate><title>Comparison between ATR-IR, Raman, concatenated ATR-IR and Raman spectroscopy for the determination of total antioxidant capacity and total phenolic content of Chinese rice wine</title><author>Wu, Zhengzong ; Xu, Enbo ; Long, Jie ; Pan, Xiaowei ; Xu, Xueming ; Jin, Zhengyu ; Jiao, Aiquan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-6a623af351fbd0bfc1cfe0f256f81ccd801b80382277aa134dd1d1cecdd34903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Antioxidants - analysis</topic><topic>Chinese rice wine</topic><topic>Data fusion</topic><topic>Least-Squares Analysis</topic><topic>Models, Chemical</topic><topic>Oryza</topic><topic>Phenols - analysis</topic><topic>Principal Component Analysis</topic><topic>Spectrum Analysis</topic><topic>Support Vector Machine</topic><topic>Total antioxidant capacity</topic><topic>Total phenolic content</topic><topic>Wine - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Zhengzong</creatorcontrib><creatorcontrib>Xu, Enbo</creatorcontrib><creatorcontrib>Long, Jie</creatorcontrib><creatorcontrib>Pan, Xiaowei</creatorcontrib><creatorcontrib>Xu, Xueming</creatorcontrib><creatorcontrib>Jin, Zhengyu</creatorcontrib><creatorcontrib>Jiao, Aiquan</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>Wu, Zhengzong</au><au>Xu, Enbo</au><au>Long, Jie</au><au>Pan, Xiaowei</au><au>Xu, Xueming</au><au>Jin, Zhengyu</au><au>Jiao, Aiquan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison between ATR-IR, Raman, concatenated ATR-IR and Raman spectroscopy for the determination of total antioxidant capacity and total phenolic content of Chinese rice wine</atitle><jtitle>Food chemistry</jtitle><addtitle>Food Chem</addtitle><date>2016-03-01</date><risdate>2016</risdate><volume>194</volume><spage>671</spage><epage>679</epage><pages>671-679</pages><issn>0308-8146</issn><eissn>1873-7072</eissn><abstract>•RS and ATR-IR were firstly applied to determine TAC and TPC in Chinese rice wine.•Models based on RS and ATR-IR were systemically compared and discussed.•Combination of RS and ATR-IR were firstly used to predict TAC and TPC in wine.
The application of attenuated total reflectance infrared spectroscopy (ATR-IR), Raman spectroscopy (RS) and combination of ATR-IR and RS for measurements of total antioxidant capacity (TAC) and total phenolic content (TPC) of Chinese rice wine (CRW) were investigated in this study. Synergy interval partial least-squares (SiPLS), support vector machine (SVM) and principal component analysis (PCA) were applied to process the merged data from two individual instruments. It was observed that the performances of models based on the RS spectra were better than those based on the ATR-IR spectra. In addition, SVM models based on the efficient information extracted from ATR-IR and RS spectra were superior to PLS models based on the same information and PLS models based on ATR-IR or RS spectra. The overall results demonstrated that integrating ATR-IR and RS was possible and could improve the prediction accuracy of TAC and TPC in CRWs.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>26471606</pmid><doi>10.1016/j.foodchem.2015.08.071</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0308-8146 |
ispartof | Food chemistry, 2016-03, Vol.194, p.671-679 |
issn | 0308-8146 1873-7072 |
language | eng |
recordid | cdi_proquest_miscellaneous_1722926687 |
source | MEDLINE; Access via ScienceDirect (Elsevier) |
subjects | Antioxidants - analysis Chinese rice wine Data fusion Least-Squares Analysis Models, Chemical Oryza Phenols - analysis Principal Component Analysis Spectrum Analysis Support Vector Machine Total antioxidant capacity Total phenolic content Wine - analysis |
title | Comparison between ATR-IR, Raman, concatenated ATR-IR and Raman spectroscopy for the determination of total antioxidant capacity and total phenolic content of Chinese rice wine |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T19%3A30%3A26IST&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=Comparison%20between%20ATR-IR,%20Raman,%20concatenated%20ATR-IR%20and%20Raman%20spectroscopy%20for%20the%20determination%20of%20total%20antioxidant%20capacity%20and%20total%20phenolic%20content%20of%20Chinese%20rice%20wine&rft.jtitle=Food%20chemistry&rft.au=Wu,%20Zhengzong&rft.date=2016-03-01&rft.volume=194&rft.spage=671&rft.epage=679&rft.pages=671-679&rft.issn=0308-8146&rft.eissn=1873-7072&rft_id=info:doi/10.1016/j.foodchem.2015.08.071&rft_dat=%3Cproquest_cross%3E1722926687%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=1722926687&rft_id=info:pmid/26471606&rft_els_id=S0308814615012698&rfr_iscdi=true |