Prediction of Relative Tissue Proportions in Wheat Mill Streams by Fourier Transform Mid-infrared Spectroscopy

Fourier-transform mid-infrared (FTIR) spectroscopy was investigated as a method to quantify the relative wheat grain tissue proportion in milling fractions. Spectra were acquired with a FTIR spectrometer equipped with an attenuated total reflectance device on ground samples, and the relative tissue...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of agricultural and food chemistry 2011-10, Vol.59 (19), p.10442-10447
1. Verfasser: Barron, Cécile
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 10447
container_issue 19
container_start_page 10442
container_title Journal of agricultural and food chemistry
container_volume 59
creator Barron, Cécile
description Fourier-transform mid-infrared (FTIR) spectroscopy was investigated as a method to quantify the relative wheat grain tissue proportion in milling fractions. Spectra were acquired with a FTIR spectrometer equipped with an attenuated total reflectance device on ground samples, and the relative tissue proportion was determined according to the biochemical marker methodology as the reference method. Partial least-squares models were developed independently to predict the amount of outer pericarp, aleurone layer, starchy endosperm, and an intermediate layer (made up of inner pericarp plus seed coat plus nucellar epidermis). Good quality of prediction was obtained regardless of the target tissue. The standard errors of prediction obtained for the outer pericarp, intermediate layer, aleurone layer, and starchy endosperm quantification were, respectively, 3.4, 1.3, 3.4, and 4.6%.
doi_str_mv 10.1021/jf201886c
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_02647233v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>896528113</sourcerecordid><originalsourceid>FETCH-LOGICAL-a378t-4725d4277cf954416aa14b6aec514e9edcb303185062338826d1e521b09ea9603</originalsourceid><addsrcrecordid>eNptkU1r3DAQhkVpabZpD_0DRZdSenCjD0uWjyE0SWFLQrOlRzGWx0SLbbmSHdh_Hy3Z7l56Gph5eIZ5h5CPnH3jTPCLbScYN0a7V2TFlWCF4ty8JiuWh4VRmp-RdyltGWNGVewtORPcqJJVckXG-4itd7MPIw0d_YU9zP4J6cantCC9j2EKcT9N1I_0zyPCTH_6vqcPc0QYEm129Dos0WOkmwhj6kIcMtEWfuwiZDl9mNDNMSQXpt178qaDPuGHQz0nv6-_b65ui_XdzY-ry3UBsjJzUVZCtaWoKtfVqiy5BuBlowGd4iXW2LpGMpmPYFpIaYzQLUcleMNqhFozeU6-vngfobdT9APEnQ3g7e3l2u57TOi8RMonntkvL-wUw98F02wHnxz2PYwYlmRNrZUwnMuT1eVzUsTuqObM7j9hj5_I7KeDdWkGbI_kv-gz8PkAQHLQ57BG59OJK1WttKlPHLhktznqMQf3n4XPw8ObXA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>896528113</pqid></control><display><type>article</type><title>Prediction of Relative Tissue Proportions in Wheat Mill Streams by Fourier Transform Mid-infrared Spectroscopy</title><source>MEDLINE</source><source>ACS Publications</source><creator>Barron, Cécile</creator><creatorcontrib>Barron, Cécile</creatorcontrib><description>Fourier-transform mid-infrared (FTIR) spectroscopy was investigated as a method to quantify the relative wheat grain tissue proportion in milling fractions. Spectra were acquired with a FTIR spectrometer equipped with an attenuated total reflectance device on ground samples, and the relative tissue proportion was determined according to the biochemical marker methodology as the reference method. Partial least-squares models were developed independently to predict the amount of outer pericarp, aleurone layer, starchy endosperm, and an intermediate layer (made up of inner pericarp plus seed coat plus nucellar epidermis). Good quality of prediction was obtained regardless of the target tissue. The standard errors of prediction obtained for the outer pericarp, intermediate layer, aleurone layer, and starchy endosperm quantification were, respectively, 3.4, 1.3, 3.4, and 4.6%.</description><identifier>ISSN: 0021-8561</identifier><identifier>EISSN: 1520-5118</identifier><identifier>DOI: 10.1021/jf201886c</identifier><identifier>PMID: 21854073</identifier><identifier>CODEN: JAFCAU</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Agricultural sciences ; Analytical Methods ; Biological and medical sciences ; Cereal and baking product industries ; Development Biology ; Endosperm - chemistry ; Food and Nutrition ; Food engineering ; Food Handling ; Food industries ; Fundamental and applied biological sciences. Psychology ; Life Sciences ; Seeds - anatomy &amp; histology ; Seeds - chemistry ; Spectroscopy, Fourier Transform Infrared ; Triticum - chemistry ; Vegetal Biology</subject><ispartof>Journal of agricultural and food chemistry, 2011-10, Vol.59 (19), p.10442-10447</ispartof><rights>Copyright © 2011 American Chemical Society</rights><rights>2015 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a378t-4725d4277cf954416aa14b6aec514e9edcb303185062338826d1e521b09ea9603</citedby><cites>FETCH-LOGICAL-a378t-4725d4277cf954416aa14b6aec514e9edcb303185062338826d1e521b09ea9603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/jf201886c$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/jf201886c$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,314,780,784,885,2765,27076,27924,27925,56738,56788</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=24595689$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21854073$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.inrae.fr/hal-02647233$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Barron, Cécile</creatorcontrib><title>Prediction of Relative Tissue Proportions in Wheat Mill Streams by Fourier Transform Mid-infrared Spectroscopy</title><title>Journal of agricultural and food chemistry</title><addtitle>J. Agric. Food Chem</addtitle><description>Fourier-transform mid-infrared (FTIR) spectroscopy was investigated as a method to quantify the relative wheat grain tissue proportion in milling fractions. Spectra were acquired with a FTIR spectrometer equipped with an attenuated total reflectance device on ground samples, and the relative tissue proportion was determined according to the biochemical marker methodology as the reference method. Partial least-squares models were developed independently to predict the amount of outer pericarp, aleurone layer, starchy endosperm, and an intermediate layer (made up of inner pericarp plus seed coat plus nucellar epidermis). Good quality of prediction was obtained regardless of the target tissue. The standard errors of prediction obtained for the outer pericarp, intermediate layer, aleurone layer, and starchy endosperm quantification were, respectively, 3.4, 1.3, 3.4, and 4.6%.</description><subject>Agricultural sciences</subject><subject>Analytical Methods</subject><subject>Biological and medical sciences</subject><subject>Cereal and baking product industries</subject><subject>Development Biology</subject><subject>Endosperm - chemistry</subject><subject>Food and Nutrition</subject><subject>Food engineering</subject><subject>Food Handling</subject><subject>Food industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Life Sciences</subject><subject>Seeds - anatomy &amp; histology</subject><subject>Seeds - chemistry</subject><subject>Spectroscopy, Fourier Transform Infrared</subject><subject>Triticum - chemistry</subject><subject>Vegetal Biology</subject><issn>0021-8561</issn><issn>1520-5118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkU1r3DAQhkVpabZpD_0DRZdSenCjD0uWjyE0SWFLQrOlRzGWx0SLbbmSHdh_Hy3Z7l56Gph5eIZ5h5CPnH3jTPCLbScYN0a7V2TFlWCF4ty8JiuWh4VRmp-RdyltGWNGVewtORPcqJJVckXG-4itd7MPIw0d_YU9zP4J6cantCC9j2EKcT9N1I_0zyPCTH_6vqcPc0QYEm129Dos0WOkmwhj6kIcMtEWfuwiZDl9mNDNMSQXpt178qaDPuGHQz0nv6-_b65ui_XdzY-ry3UBsjJzUVZCtaWoKtfVqiy5BuBlowGd4iXW2LpGMpmPYFpIaYzQLUcleMNqhFozeU6-vngfobdT9APEnQ3g7e3l2u57TOi8RMonntkvL-wUw98F02wHnxz2PYwYlmRNrZUwnMuT1eVzUsTuqObM7j9hj5_I7KeDdWkGbI_kv-gz8PkAQHLQ57BG59OJK1WttKlPHLhktznqMQf3n4XPw8ObXA</recordid><startdate>20111012</startdate><enddate>20111012</enddate><creator>Barron, Cécile</creator><general>American Chemical Society</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>1XC</scope></search><sort><creationdate>20111012</creationdate><title>Prediction of Relative Tissue Proportions in Wheat Mill Streams by Fourier Transform Mid-infrared Spectroscopy</title><author>Barron, Cécile</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a378t-4725d4277cf954416aa14b6aec514e9edcb303185062338826d1e521b09ea9603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Agricultural sciences</topic><topic>Analytical Methods</topic><topic>Biological and medical sciences</topic><topic>Cereal and baking product industries</topic><topic>Development Biology</topic><topic>Endosperm - chemistry</topic><topic>Food and Nutrition</topic><topic>Food engineering</topic><topic>Food Handling</topic><topic>Food industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Life Sciences</topic><topic>Seeds - anatomy &amp; histology</topic><topic>Seeds - chemistry</topic><topic>Spectroscopy, Fourier Transform Infrared</topic><topic>Triticum - chemistry</topic><topic>Vegetal Biology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barron, Cécile</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>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of agricultural and food chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barron, Cécile</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of Relative Tissue Proportions in Wheat Mill Streams by Fourier Transform Mid-infrared Spectroscopy</atitle><jtitle>Journal of agricultural and food chemistry</jtitle><addtitle>J. Agric. Food Chem</addtitle><date>2011-10-12</date><risdate>2011</risdate><volume>59</volume><issue>19</issue><spage>10442</spage><epage>10447</epage><pages>10442-10447</pages><issn>0021-8561</issn><eissn>1520-5118</eissn><coden>JAFCAU</coden><abstract>Fourier-transform mid-infrared (FTIR) spectroscopy was investigated as a method to quantify the relative wheat grain tissue proportion in milling fractions. Spectra were acquired with a FTIR spectrometer equipped with an attenuated total reflectance device on ground samples, and the relative tissue proportion was determined according to the biochemical marker methodology as the reference method. Partial least-squares models were developed independently to predict the amount of outer pericarp, aleurone layer, starchy endosperm, and an intermediate layer (made up of inner pericarp plus seed coat plus nucellar epidermis). Good quality of prediction was obtained regardless of the target tissue. The standard errors of prediction obtained for the outer pericarp, intermediate layer, aleurone layer, and starchy endosperm quantification were, respectively, 3.4, 1.3, 3.4, and 4.6%.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>21854073</pmid><doi>10.1021/jf201886c</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0021-8561
ispartof Journal of agricultural and food chemistry, 2011-10, Vol.59 (19), p.10442-10447
issn 0021-8561
1520-5118
language eng
recordid cdi_hal_primary_oai_HAL_hal_02647233v1
source MEDLINE; ACS Publications
subjects Agricultural sciences
Analytical Methods
Biological and medical sciences
Cereal and baking product industries
Development Biology
Endosperm - chemistry
Food and Nutrition
Food engineering
Food Handling
Food industries
Fundamental and applied biological sciences. Psychology
Life Sciences
Seeds - anatomy & histology
Seeds - chemistry
Spectroscopy, Fourier Transform Infrared
Triticum - chemistry
Vegetal Biology
title Prediction of Relative Tissue Proportions in Wheat Mill Streams by Fourier Transform Mid-infrared Spectroscopy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T15%3A15%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20of%20Relative%20Tissue%20Proportions%20in%20Wheat%20Mill%20Streams%20by%20Fourier%20Transform%20Mid-infrared%20Spectroscopy&rft.jtitle=Journal%20of%20agricultural%20and%20food%20chemistry&rft.au=Barron,%20Ce%CC%81cile&rft.date=2011-10-12&rft.volume=59&rft.issue=19&rft.spage=10442&rft.epage=10447&rft.pages=10442-10447&rft.issn=0021-8561&rft.eissn=1520-5118&rft.coden=JAFCAU&rft_id=info:doi/10.1021/jf201886c&rft_dat=%3Cproquest_hal_p%3E896528113%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=896528113&rft_id=info:pmid/21854073&rfr_iscdi=true