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Article: Differentiation of beef and kangaroo meat by visible/near-infrared reflectance spectroscopy

TitleDifferentiation of beef and kangaroo meat by visible/near-infrared reflectance spectroscopy
Authors
KeywordsBeef
Classification
Kangaroo meat
NIR spectroscopy
Issue Date1999
PublisherWiley-Blackwell Publishing, Inc. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=0022-1147
Citation
Journal Of Food Science, 1999, v. 64 n. 5, p. 814-817 How to Cite?
AbstractA visible/near-infrared (NIR) spectroscopic method was developed with canonical discriminant analysis and stepwise multiple linear regression to differentiate beef from kangaroo meat. Results showed that beef and kangaroo meat could be separated when samples were analyzed by spectrophotometry as minced meat or cut meat. For minced meat, scatter correction and derivative treatment of reflectance spectra improved classification. For cut meat, original reflectance spectra produced better classification. Overall classification accuracy was 83% to 100%, and no kangaroo meat was misclassified. NIR spectroscopy might be an efficient test method for species identification.
Persistent Identifierhttp://hdl.handle.net/10722/84625
ISSN
2015 Impact Factor: 1.649
2015 SCImago Journal Rankings: 0.839
References

 

DC FieldValueLanguage
dc.contributor.authorDing, HBen_HK
dc.contributor.authorXu, RJen_HK
dc.date.accessioned2010-09-06T08:55:13Z-
dc.date.available2010-09-06T08:55:13Z-
dc.date.issued1999en_HK
dc.identifier.citationJournal Of Food Science, 1999, v. 64 n. 5, p. 814-817en_HK
dc.identifier.issn0022-1147en_HK
dc.identifier.urihttp://hdl.handle.net/10722/84625-
dc.description.abstractA visible/near-infrared (NIR) spectroscopic method was developed with canonical discriminant analysis and stepwise multiple linear regression to differentiate beef from kangaroo meat. Results showed that beef and kangaroo meat could be separated when samples were analyzed by spectrophotometry as minced meat or cut meat. For minced meat, scatter correction and derivative treatment of reflectance spectra improved classification. For cut meat, original reflectance spectra produced better classification. Overall classification accuracy was 83% to 100%, and no kangaroo meat was misclassified. NIR spectroscopy might be an efficient test method for species identification.en_HK
dc.languageengen_HK
dc.publisherWiley-Blackwell Publishing, Inc. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=0022-1147en_HK
dc.relation.ispartofJournal of Food Scienceen_HK
dc.subjectBeefen_HK
dc.subjectClassificationen_HK
dc.subjectKangaroo meaten_HK
dc.subjectNIR spectroscopyen_HK
dc.titleDifferentiation of beef and kangaroo meat by visible/near-infrared reflectance spectroscopyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0022-1147&volume=64&spage=814&epage=817&date=1999&atitle=Differentiation+of+beef+and+kangaroo+meat+by+visible/near-infrared+reflectance+spectroscopyen_HK
dc.identifier.emailXu, RJ: xuruojun@hkucc.hku.hken_HK
dc.identifier.authorityXu, RJ=rp00820en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0032718643en_HK
dc.identifier.hkuros47696en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032718643&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume64en_HK
dc.identifier.issue5en_HK
dc.identifier.spage814en_HK
dc.identifier.epage817en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridDing, HB=7402286016en_HK
dc.identifier.scopusauthoridXu, RJ=7402813973en_HK

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