The potential of NIR spectroscopy for the detection of the adulteration of orange juice
Near‐infrared spectroscopy was used to investigate the adulteration of 65 authentic concentrated orange juice samples obtained from Brazil and Israel. These samples were adulterated with 100 g kg−1 additions (ie 100 g added to 900 g) of (1) orange pulpwash, (2) grapefruit juice, and (3) a synthetic...
Gespeichert in:
Veröffentlicht in: | Journal of the science of food and agriculture 1995-01, Vol.67 (1), p.77-84 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 84 |
---|---|
container_issue | 1 |
container_start_page | 77 |
container_title | Journal of the science of food and agriculture |
container_volume | 67 |
creator | Twomey, Michael Downey, Gerard McNulty, Paul B |
description | Near‐infrared spectroscopy was used to investigate the adulteration of 65 authentic concentrated orange juice samples obtained from Brazil and Israel. These samples were adulterated with 100 g kg−1 additions (ie 100 g added to 900 g) of (1) orange pulpwash, (2) grapefruit juice, and (3) a synthetic sugar/acid mixture and with 50 g kg−1 additions (ie 50 g added to 950 g) of (4) orange pulpwash, and (5) grapefruit juice. All samples were scanned on the NIR systems 6500 spectrophotometer over the 1100‐2498 nm wavelength range. Principal component analysis was used to reduce each spectrum to 20 principal components. Factorial discriminant analysis was used to distinguish between the different sample groups. Using orange juice and orange juice adulterated at the 100 g kg−1 level, accurate classification rates of 94–95% were obtained. To classify samples adulterated at the 50 g kg−1 level, the calibration development sample set had to be augmented by the inclusion of samples adulterated at this lower level—after this augmentation, an accurate classification rate of 94% was obtained. The results demonstrated that the application of principal component and factorial discriminate analysis to NIR reflectance spectra can detect the adulteration of orange juice with an average accuracy of 90%. Furthermore, not one adulterated sample was predicted as being an authentic orange juice throughout the entire test regime. |
doi_str_mv | 10.1002/jsfa.2740670113 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_26044614</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1303113774</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4833-bd62986d952c4e994c1d0dc893dd1e308d253880120a6d3590a5f40723203c4d3</originalsourceid><addsrcrecordid>eNqFkEtLxDAYRYMoOD7WbguKuzpfHk0bXIk4oyIKjuIyxCTVjrWpSYvOvzd1fKAbV4HLuTfJQWgHwwEGION5KNUByRnwHDCmK2iEQeQpAIZVNIoESTPMyDraCGEOAEJwPkJ3N482aV1nm65SdeLK5PLsOgmt1Z13Qbt2kZTOJ12kjO1iWrlmoIZAmb7urFdfmfOqebDJvK-03UJrpaqD3f48N9Ht5OTm-DS9uJqeHR9dpJoVlKb3hhNRcCMyopkVgmlswOhCUGOwpVAYktGiAExAcUMzASorGeSEEqCaGbqJ9pe7rXcvvQ2dfK6CtnWtGuv6IAkHxjhmEdz9A85d75v4Nokp0GgszwdqvKR0_H3wtpStr56VX0gMctAsB83yR3Ns7H3uqqBVXUYHugrfNUoLkX1gh0vstart4r9VeT6bHP26JF22q9DZt--28k-S5zTP5N3lVGacscmMYzml784qm5c</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1303113774</pqid></control><display><type>article</type><title>The potential of NIR spectroscopy for the detection of the adulteration of orange juice</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Periodicals Index Online</source><creator>Twomey, Michael ; Downey, Gerard ; McNulty, Paul B</creator><creatorcontrib>Twomey, Michael ; Downey, Gerard ; McNulty, Paul B</creatorcontrib><description>Near‐infrared spectroscopy was used to investigate the adulteration of 65 authentic concentrated orange juice samples obtained from Brazil and Israel. These samples were adulterated with 100 g kg−1 additions (ie 100 g added to 900 g) of (1) orange pulpwash, (2) grapefruit juice, and (3) a synthetic sugar/acid mixture and with 50 g kg−1 additions (ie 50 g added to 950 g) of (4) orange pulpwash, and (5) grapefruit juice. All samples were scanned on the NIR systems 6500 spectrophotometer over the 1100‐2498 nm wavelength range. Principal component analysis was used to reduce each spectrum to 20 principal components. Factorial discriminant analysis was used to distinguish between the different sample groups. Using orange juice and orange juice adulterated at the 100 g kg−1 level, accurate classification rates of 94–95% were obtained. To classify samples adulterated at the 50 g kg−1 level, the calibration development sample set had to be augmented by the inclusion of samples adulterated at this lower level—after this augmentation, an accurate classification rate of 94% was obtained. The results demonstrated that the application of principal component and factorial discriminate analysis to NIR reflectance spectra can detect the adulteration of orange juice with an average accuracy of 90%. Furthermore, not one adulterated sample was predicted as being an authentic orange juice throughout the entire test regime.</description><identifier>ISSN: 0022-5142</identifier><identifier>EISSN: 1097-0010</identifier><identifier>DOI: 10.1002/jsfa.2740670113</identifier><identifier>CODEN: JSFAAE</identifier><language>eng</language><publisher>London: John Wiley & Sons, Ltd</publisher><subject>adulteration ; Biological and medical sciences ; Food industries ; Fundamental and applied biological sciences. Psychology ; NIR spectroscopy ; orange juice ; Research and development. New food products, dietetic foods and beverages</subject><ispartof>Journal of the science of food and agriculture, 1995-01, Vol.67 (1), p.77-84</ispartof><rights>Copyright © 1995 John Wiley & Sons, Ltd</rights><rights>1995 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4833-bd62986d952c4e994c1d0dc893dd1e308d253880120a6d3590a5f40723203c4d3</citedby><cites>FETCH-LOGICAL-c4833-bd62986d952c4e994c1d0dc893dd1e308d253880120a6d3590a5f40723203c4d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjsfa.2740670113$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjsfa.2740670113$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,777,781,1412,4010,27850,27904,27905,27906,45555,45556</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3389513$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Twomey, Michael</creatorcontrib><creatorcontrib>Downey, Gerard</creatorcontrib><creatorcontrib>McNulty, Paul B</creatorcontrib><title>The potential of NIR spectroscopy for the detection of the adulteration of orange juice</title><title>Journal of the science of food and agriculture</title><addtitle>J. Sci. Food Agric</addtitle><description>Near‐infrared spectroscopy was used to investigate the adulteration of 65 authentic concentrated orange juice samples obtained from Brazil and Israel. These samples were adulterated with 100 g kg−1 additions (ie 100 g added to 900 g) of (1) orange pulpwash, (2) grapefruit juice, and (3) a synthetic sugar/acid mixture and with 50 g kg−1 additions (ie 50 g added to 950 g) of (4) orange pulpwash, and (5) grapefruit juice. All samples were scanned on the NIR systems 6500 spectrophotometer over the 1100‐2498 nm wavelength range. Principal component analysis was used to reduce each spectrum to 20 principal components. Factorial discriminant analysis was used to distinguish between the different sample groups. Using orange juice and orange juice adulterated at the 100 g kg−1 level, accurate classification rates of 94–95% were obtained. To classify samples adulterated at the 50 g kg−1 level, the calibration development sample set had to be augmented by the inclusion of samples adulterated at this lower level—after this augmentation, an accurate classification rate of 94% was obtained. The results demonstrated that the application of principal component and factorial discriminate analysis to NIR reflectance spectra can detect the adulteration of orange juice with an average accuracy of 90%. Furthermore, not one adulterated sample was predicted as being an authentic orange juice throughout the entire test regime.</description><subject>adulteration</subject><subject>Biological and medical sciences</subject><subject>Food industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>NIR spectroscopy</subject><subject>orange juice</subject><subject>Research and development. New food products, dietetic foods and beverages</subject><issn>0022-5142</issn><issn>1097-0010</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNqFkEtLxDAYRYMoOD7WbguKuzpfHk0bXIk4oyIKjuIyxCTVjrWpSYvOvzd1fKAbV4HLuTfJQWgHwwEGION5KNUByRnwHDCmK2iEQeQpAIZVNIoESTPMyDraCGEOAEJwPkJ3N482aV1nm65SdeLK5PLsOgmt1Z13Qbt2kZTOJ12kjO1iWrlmoIZAmb7urFdfmfOqebDJvK-03UJrpaqD3f48N9Ht5OTm-DS9uJqeHR9dpJoVlKb3hhNRcCMyopkVgmlswOhCUGOwpVAYktGiAExAcUMzASorGeSEEqCaGbqJ9pe7rXcvvQ2dfK6CtnWtGuv6IAkHxjhmEdz9A85d75v4Nokp0GgszwdqvKR0_H3wtpStr56VX0gMctAsB83yR3Ns7H3uqqBVXUYHugrfNUoLkX1gh0vstart4r9VeT6bHP26JF22q9DZt--28k-S5zTP5N3lVGacscmMYzml784qm5c</recordid><startdate>199501</startdate><enddate>199501</enddate><creator>Twomey, Michael</creator><creator>Downey, Gerard</creator><creator>McNulty, Paul B</creator><general>John Wiley & Sons, Ltd</general><general>Wiley</general><general>Published for the Society of Chemical Industry by Elsevier Applied Science</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>HJHVS</scope><scope>IZSXY</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>199501</creationdate><title>The potential of NIR spectroscopy for the detection of the adulteration of orange juice</title><author>Twomey, Michael ; Downey, Gerard ; McNulty, Paul B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4833-bd62986d952c4e994c1d0dc893dd1e308d253880120a6d3590a5f40723203c4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>adulteration</topic><topic>Biological and medical sciences</topic><topic>Food industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>NIR spectroscopy</topic><topic>orange juice</topic><topic>Research and development. New food products, dietetic foods and beverages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Twomey, Michael</creatorcontrib><creatorcontrib>Downey, Gerard</creatorcontrib><creatorcontrib>McNulty, Paul B</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 19</collection><collection>Periodicals Index Online Segment 30</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Journal of the science of food and agriculture</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Twomey, Michael</au><au>Downey, Gerard</au><au>McNulty, Paul B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The potential of NIR spectroscopy for the detection of the adulteration of orange juice</atitle><jtitle>Journal of the science of food and agriculture</jtitle><addtitle>J. Sci. Food Agric</addtitle><date>1995-01</date><risdate>1995</risdate><volume>67</volume><issue>1</issue><spage>77</spage><epage>84</epage><pages>77-84</pages><issn>0022-5142</issn><eissn>1097-0010</eissn><coden>JSFAAE</coden><abstract>Near‐infrared spectroscopy was used to investigate the adulteration of 65 authentic concentrated orange juice samples obtained from Brazil and Israel. These samples were adulterated with 100 g kg−1 additions (ie 100 g added to 900 g) of (1) orange pulpwash, (2) grapefruit juice, and (3) a synthetic sugar/acid mixture and with 50 g kg−1 additions (ie 50 g added to 950 g) of (4) orange pulpwash, and (5) grapefruit juice. All samples were scanned on the NIR systems 6500 spectrophotometer over the 1100‐2498 nm wavelength range. Principal component analysis was used to reduce each spectrum to 20 principal components. Factorial discriminant analysis was used to distinguish between the different sample groups. Using orange juice and orange juice adulterated at the 100 g kg−1 level, accurate classification rates of 94–95% were obtained. To classify samples adulterated at the 50 g kg−1 level, the calibration development sample set had to be augmented by the inclusion of samples adulterated at this lower level—after this augmentation, an accurate classification rate of 94% was obtained. The results demonstrated that the application of principal component and factorial discriminate analysis to NIR reflectance spectra can detect the adulteration of orange juice with an average accuracy of 90%. Furthermore, not one adulterated sample was predicted as being an authentic orange juice throughout the entire test regime.</abstract><cop>London</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/jsfa.2740670113</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-5142 |
ispartof | Journal of the science of food and agriculture, 1995-01, Vol.67 (1), p.77-84 |
issn | 0022-5142 1097-0010 |
language | eng |
recordid | cdi_proquest_miscellaneous_26044614 |
source | Wiley Online Library Journals Frontfile Complete; Periodicals Index Online |
subjects | adulteration Biological and medical sciences Food industries Fundamental and applied biological sciences. Psychology NIR spectroscopy orange juice Research and development. New food products, dietetic foods and beverages |
title | The potential of NIR spectroscopy for the detection of the adulteration of orange juice |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T07%3A44%3A31IST&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=The%20potential%20of%20NIR%20spectroscopy%20for%20the%20detection%20of%20the%20adulteration%20of%20orange%20juice&rft.jtitle=Journal%20of%20the%20science%20of%20food%20and%20agriculture&rft.au=Twomey,%20Michael&rft.date=1995-01&rft.volume=67&rft.issue=1&rft.spage=77&rft.epage=84&rft.pages=77-84&rft.issn=0022-5142&rft.eissn=1097-0010&rft.coden=JSFAAE&rft_id=info:doi/10.1002/jsfa.2740670113&rft_dat=%3Cproquest_cross%3E1303113774%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=1303113774&rft_id=info:pmid/&rfr_iscdi=true |