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...
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Veröffentlicht in: | Journal of agricultural and food chemistry 2011-10, Vol.59 (19), p.10442-10447 |
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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 |
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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. 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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 & 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 & 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> |
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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 |
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