Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy for the determination of nutritional and antinutritional parameters in common beans
•MIR and NIR have been compared for the assessment of common bean flours.•The models were validated by both cross-validation (CV) and external validation.•The 1st derivative of the spectral data led to the best results in both techniques.•NIR was better to evaluate protein and phytic acid contents,...
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Veröffentlicht in: | Food chemistry 2020-02, Vol.306, p.125509-125509, Article 125509 |
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creator | Carbas, Bruna Machado, Nelson Oppolzer, David Ferreira, Luis Brites, Carla Rosa, Eduardo A.S. Barros, Ana I.R.N.A. |
description | •MIR and NIR have been compared for the assessment of common bean flours.•The models were validated by both cross-validation (CV) and external validation.•The 1st derivative of the spectral data led to the best results in both techniques.•NIR was better to evaluate protein and phytic acid contents, MIR for amino acids.
Common beans (Phaseolus vulgaris L.), represent the most consumed legume worldwide and constitute an important source of protein, being also known to contain antinutritional compounds, which compromise nutrients’ bioavailability. However, the standard methodologies to assess these constituents are time-consuming and complex. Therefore, the present study evaluated the suitability of near-infrared (NIR) and mid-infrared (MIR) spectroscopies for the development of simple and reliable methods to assess protein, lipids, tannins and phytic acid contents, besides specific amino acids, in whole bean flours. Partial least squares (PLS) regression was used to develop analytical models, and external validation was performed.
NIR displayed better performance for the evaluation of protein, lipids, tannins and phytic acid contents, and MIR, for the assessment of specific amino acids. In both techniques, the use of the 1st derivative was the best data treatment. Overall, both techniques represent reliable methods to evaluate the proximate and antinutritional composition of bean flours. |
doi_str_mv | 10.1016/j.foodchem.2019.125509 |
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Common beans (Phaseolus vulgaris L.), represent the most consumed legume worldwide and constitute an important source of protein, being also known to contain antinutritional compounds, which compromise nutrients’ bioavailability. However, the standard methodologies to assess these constituents are time-consuming and complex. Therefore, the present study evaluated the suitability of near-infrared (NIR) and mid-infrared (MIR) spectroscopies for the development of simple and reliable methods to assess protein, lipids, tannins and phytic acid contents, besides specific amino acids, in whole bean flours. Partial least squares (PLS) regression was used to develop analytical models, and external validation was performed.
NIR displayed better performance for the evaluation of protein, lipids, tannins and phytic acid contents, and MIR, for the assessment of specific amino acids. In both techniques, the use of the 1st derivative was the best data treatment. Overall, both techniques represent reliable methods to evaluate the proximate and antinutritional composition of bean flours.</description><identifier>ISSN: 0308-8146</identifier><identifier>EISSN: 1873-7072</identifier><identifier>DOI: 10.1016/j.foodchem.2019.125509</identifier><identifier>PMID: 31627082</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Amino acids ; FTIR spectroscopy ; Least-Squares Analysis ; Lipids ; Phaseolus - chemistry ; Phaseolus vulgaris L ; Phytic acid ; Phytic Acid - analysis ; Protein ; Spectroscopy, Near-Infrared - methods ; Spectrum Analysis ; Tannins ; Tannins - analysis</subject><ispartof>Food chemistry, 2020-02, Vol.306, p.125509-125509, Article 125509</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-310cf0f7bf18b949af5072e69c82f406db2a93ceb8f9c93420d19bad9a7f53c33</citedby><cites>FETCH-LOGICAL-c405t-310cf0f7bf18b949af5072e69c82f406db2a93ceb8f9c93420d19bad9a7f53c33</cites><orcidid>0000-0003-0380-0399 ; 0000-0002-3341-861X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.foodchem.2019.125509$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31627082$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Carbas, Bruna</creatorcontrib><creatorcontrib>Machado, Nelson</creatorcontrib><creatorcontrib>Oppolzer, David</creatorcontrib><creatorcontrib>Ferreira, Luis</creatorcontrib><creatorcontrib>Brites, Carla</creatorcontrib><creatorcontrib>Rosa, Eduardo A.S.</creatorcontrib><creatorcontrib>Barros, Ana I.R.N.A.</creatorcontrib><title>Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy for the determination of nutritional and antinutritional parameters in common beans</title><title>Food chemistry</title><addtitle>Food Chem</addtitle><description>•MIR and NIR have been compared for the assessment of common bean flours.•The models were validated by both cross-validation (CV) and external validation.•The 1st derivative of the spectral data led to the best results in both techniques.•NIR was better to evaluate protein and phytic acid contents, MIR for amino acids.
Common beans (Phaseolus vulgaris L.), represent the most consumed legume worldwide and constitute an important source of protein, being also known to contain antinutritional compounds, which compromise nutrients’ bioavailability. However, the standard methodologies to assess these constituents are time-consuming and complex. Therefore, the present study evaluated the suitability of near-infrared (NIR) and mid-infrared (MIR) spectroscopies for the development of simple and reliable methods to assess protein, lipids, tannins and phytic acid contents, besides specific amino acids, in whole bean flours. Partial least squares (PLS) regression was used to develop analytical models, and external validation was performed.
NIR displayed better performance for the evaluation of protein, lipids, tannins and phytic acid contents, and MIR, for the assessment of specific amino acids. In both techniques, the use of the 1st derivative was the best data treatment. Overall, both techniques represent reliable methods to evaluate the proximate and antinutritional composition of bean flours.</description><subject>Amino acids</subject><subject>FTIR spectroscopy</subject><subject>Least-Squares Analysis</subject><subject>Lipids</subject><subject>Phaseolus - chemistry</subject><subject>Phaseolus vulgaris L</subject><subject>Phytic acid</subject><subject>Phytic Acid - analysis</subject><subject>Protein</subject><subject>Spectroscopy, Near-Infrared - methods</subject><subject>Spectrum Analysis</subject><subject>Tannins</subject><subject>Tannins - analysis</subject><issn>0308-8146</issn><issn>1873-7072</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUcuOFCEUJUbjtKO_MGE5Lqq9QL3YaTo-Jhk1MbomFFwydBooodpkPsW_lbJ7zOxcEU7OI-ceQq4YbBmw_s1-61Ky5g7DlgOTW8a7DuQTsmHjIJoBBv6UbEDA2Iys7S_Ii1L2AFC543NyIVjPBxj5hvzepTDr7EuKNDkaUefGR5d1Rkuvv9x8e011tDR4-wj-vMJlRrPkVEya76lLmS53SC0umIOPevFnw-OS_frRh79GOi7-MVazdVhFhfpITQqh6ibUsbwkz5w-FHx1fi_Jjw_vv-8-NbdfP97s3t02poVuaQQD48ANk2PjJFupXVfLYy_NyF0LvZ24lsLgNDpppGg5WCYnbaUeXCeMEJfk-uQ75_TziGVRwReDh4OOmI5FcQED40M_tpXan6im9i4ZnZqzDzrfKwZqnUXt1cMsap1FnWapwqtzxnEKaP_JHnaohLcnAtamvzxmVYzHaND6XM-sbPL_y_gD2D2kjw</recordid><startdate>20200215</startdate><enddate>20200215</enddate><creator>Carbas, Bruna</creator><creator>Machado, Nelson</creator><creator>Oppolzer, David</creator><creator>Ferreira, Luis</creator><creator>Brites, Carla</creator><creator>Rosa, Eduardo A.S.</creator><creator>Barros, Ana I.R.N.A.</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><orcidid>https://orcid.org/0000-0003-0380-0399</orcidid><orcidid>https://orcid.org/0000-0002-3341-861X</orcidid></search><sort><creationdate>20200215</creationdate><title>Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy for the determination of nutritional and antinutritional parameters in common beans</title><author>Carbas, Bruna ; Machado, Nelson ; Oppolzer, David ; Ferreira, Luis ; Brites, Carla ; Rosa, Eduardo A.S. ; Barros, Ana I.R.N.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-310cf0f7bf18b949af5072e69c82f406db2a93ceb8f9c93420d19bad9a7f53c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Amino acids</topic><topic>FTIR spectroscopy</topic><topic>Least-Squares Analysis</topic><topic>Lipids</topic><topic>Phaseolus - chemistry</topic><topic>Phaseolus vulgaris L</topic><topic>Phytic acid</topic><topic>Phytic Acid - analysis</topic><topic>Protein</topic><topic>Spectroscopy, Near-Infrared - methods</topic><topic>Spectrum Analysis</topic><topic>Tannins</topic><topic>Tannins - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carbas, Bruna</creatorcontrib><creatorcontrib>Machado, Nelson</creatorcontrib><creatorcontrib>Oppolzer, David</creatorcontrib><creatorcontrib>Ferreira, Luis</creatorcontrib><creatorcontrib>Brites, Carla</creatorcontrib><creatorcontrib>Rosa, Eduardo A.S.</creatorcontrib><creatorcontrib>Barros, Ana I.R.N.A.</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>Carbas, Bruna</au><au>Machado, Nelson</au><au>Oppolzer, David</au><au>Ferreira, Luis</au><au>Brites, Carla</au><au>Rosa, Eduardo A.S.</au><au>Barros, Ana I.R.N.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy for the determination of nutritional and antinutritional parameters in common beans</atitle><jtitle>Food chemistry</jtitle><addtitle>Food Chem</addtitle><date>2020-02-15</date><risdate>2020</risdate><volume>306</volume><spage>125509</spage><epage>125509</epage><pages>125509-125509</pages><artnum>125509</artnum><issn>0308-8146</issn><eissn>1873-7072</eissn><abstract>•MIR and NIR have been compared for the assessment of common bean flours.•The models were validated by both cross-validation (CV) and external validation.•The 1st derivative of the spectral data led to the best results in both techniques.•NIR was better to evaluate protein and phytic acid contents, MIR for amino acids.
Common beans (Phaseolus vulgaris L.), represent the most consumed legume worldwide and constitute an important source of protein, being also known to contain antinutritional compounds, which compromise nutrients’ bioavailability. However, the standard methodologies to assess these constituents are time-consuming and complex. Therefore, the present study evaluated the suitability of near-infrared (NIR) and mid-infrared (MIR) spectroscopies for the development of simple and reliable methods to assess protein, lipids, tannins and phytic acid contents, besides specific amino acids, in whole bean flours. Partial least squares (PLS) regression was used to develop analytical models, and external validation was performed.
NIR displayed better performance for the evaluation of protein, lipids, tannins and phytic acid contents, and MIR, for the assessment of specific amino acids. In both techniques, the use of the 1st derivative was the best data treatment. Overall, both techniques represent reliable methods to evaluate the proximate and antinutritional composition of bean flours.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31627082</pmid><doi>10.1016/j.foodchem.2019.125509</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0380-0399</orcidid><orcidid>https://orcid.org/0000-0002-3341-861X</orcidid></addata></record> |
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subjects | Amino acids FTIR spectroscopy Least-Squares Analysis Lipids Phaseolus - chemistry Phaseolus vulgaris L Phytic acid Phytic Acid - analysis Protein Spectroscopy, Near-Infrared - methods Spectrum Analysis Tannins Tannins - analysis |
title | Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy for the determination of nutritional and antinutritional parameters in common beans |
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