Repository logo
 
Publication

An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy

2015Journal article Open access
Simple item page
dc.contributor.authorTeixeira, Alfredo
dc.contributor.authorOliveira, António Filipe Gomes de Faria
dc.contributor.authorPaulos, Kátia
dc.contributor.authorLeite, Ana
dc.contributor.authorMarcia, Anabela
dc.contributor.authorAmorim, André
dc.contributor.authorPereira, Etelvina
dc.contributor.authorSilva, Severiano
dc.contributor.authorRodrigues, Sandra
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2018-03-01T16:04:57Z
dc.date.accessioned2018-03-05T09:18:46Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2018-03-01T16:04:57Z
dc.date.available2018-03-05T09:18:46Z
dc.date.issued2015
dc.description.abstractThe ability of near infrared reflectance spectroscopy (NIRS) to estimate the protein, moisture, connective tissue and ash content in the Longissimus thoracis et lumborum (LTL) muscle of goat was studied. Samples (n=240) of the LTL muscle were taken from the 8th to 13th rib cut of goat carcasses. Samples were scanned in a FT-NIR Master™ N500 (BÜCHI) over a NIR spectral range of 4000-10,000cm < sup > -1 < /sup > with a resolution of 4cm < sup > -1 < /sup > . It was collected 3 spectra per sample and subsequently, chemical analyses were performed at the Carcass and Meat Quality Laboratory of ESA-IPB. Using NirCal 1.5 it was developed a PLS regression model assaying, first and second derivatives as math treatment and multiplicative scatter correction for minimizing scattering effect on the spectra database recorded (n=240). The best calibrations' models show relatively good predictability for protein (standard error of prediction SEP=0.43; coefficient of determination R < sup > 2 < /sup > =0.91), moisture (SEP=0.48; R < sup > 2 < /sup > =0.92). Calibrations' models obtained are important as a first attempt to predict the chemical composition of goat meat by NIRS. More experimental data are needed to improve the accuracy of these calibrations.en_EN
dc.description.sponsorshipWe gratefully acknowledge QREN-COMPETE, POREGIONAL DO NORTE, for financial support of the Project BISOVICAP (Project QREN SI I&DT Co-Promotion n◦21511/201).
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationTeixeira, Alfredo; Oliveira, António; Paulos, Katia; Leite, Ana; Marcia, Anabela; Amorim, André; Pereira, Etelvina; Silva, Severiano; Rodrigues, Sandra (2015). An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy. Small Ruminant Research. ISSN 0921-4488. 126, p. 40-43en_EN
dc.identifier.doi10.1016/j.smallrumres.2015.03.006en_EN
dc.identifier.issn0921-4488
dc.identifier.urihttp://hdl.handle.net/10198/16122
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.subjectChemical compositionen_EN
dc.subjectGoat meaten_EN
dc.subjectNIRSen_EN
dc.subjectPredictionen_EN
dc.titleAn approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopyen_EN
dc.typejournal article
dspace.entity.typePublication
person.familyNameTeixeira
person.familyNameLeite
person.familyNameRodrigues
person.givenNameAlfredo
person.givenNameAna
person.givenNameSandra
person.identifier958487
person.identifier.ciencia-id2A1A-FF0C-185B
person.identifier.ciencia-id1C15-1046-A5B0
person.identifier.ciencia-id651F-D964-32E1
person.identifier.orcid0000-0003-4607-4796
person.identifier.orcid0000-0002-4480-724X
person.identifier.orcid0000-0003-3301-1729
person.identifier.ridG-4118-2011
person.identifier.ridC-6486-2008
person.identifier.scopus-author-id56195849200
person.identifier.scopus-author-id14048942500
rcaap.rightsopenAccessen_EN
rcaap.typearticleen_EN
relation.isAuthorOfPublication27cc89a2-6661-4d8d-a727-21109c04a74e
relation.isAuthorOfPublication3d42c391-03b5-4c2d-9ca7-75f8278731cc
relation.isAuthorOfPublication684ab6a0-e3ea-4b6e-9874-d20d71e2a3f5
relation.isAuthorOfPublication.latestForDiscovery27cc89a2-6661-4d8d-a727-21109c04a74e

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
277.pdf
Size:
646.54 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Plain Text
Description:
Download

Collections

CIMO - Artigos em Revistas Indexados à WoS/Scopus