Publication
An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy
| Summary: | The 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. |
|---|---|
| Main Authors: | Teixeira, Alfredo |
| Other Authors: | Oliveira, António Filipe Gomes de Faria; Paulos, Kátia; Leite, Ana; Marcia, Anabela; Amorim, André; Pereira, Etelvina; Silva, Severiano; Rodrigues, Sandra |
| Subject: | Chemical composition Goat meat NIRS Prediction |
| Year: | 2015 |
| Country: | Portugal |
| Document type: | article |
| Access type: | open access |
| Associated institution: | Instituto Politécnico de Bragança |
| Language: | English |
| Origin: | Biblioteca Digital do IPB |
| _version_ | 1867173269648441344 |
|---|---|
| author | Teixeira, Alfredo |
| author2 | Oliveira, António Filipe Gomes de Faria Paulos, Kátia Leite, Ana Marcia, Anabela Amorim, André Pereira, Etelvina Silva, Severiano Rodrigues, Sandra |
| author2_role | author author author author author author author author |
| author_facet | Teixeira, Alfredo Oliveira, António Filipe Gomes de Faria Paulos, Kátia Leite, Ana Marcia, Anabela Amorim, André Pereira, Etelvina Silva, Severiano Rodrigues, Sandra |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Teixeira, Alfredo\",\"Person.identifier.orcid\":\"0000-0003-4607-4796\"},{\"Person.name\":\"Oliveira, António Filipe Gomes de Faria\"},{\"Person.name\":\"Paulos, Kátia\"},{\"Person.name\":\"Leite, Ana\",\"Person.identifier.orcid\":\"0000-0002-4480-724X\"},{\"Person.name\":\"Marcia, Anabela\"},{\"Person.name\":\"Amorim, André\"},{\"Person.name\":\"Pereira, Etelvina\"},{\"Person.name\":\"Silva, Severiano\"},{\"Person.name\":\"Rodrigues, Sandra\",\"Person.identifier.orcid\":\"0000-0003-3301-1729\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Teixeira, Alfredo Oliveira, António Filipe Gomes de Faria Paulos, Kátia Leite, Ana Marcia, Anabela Amorim, André Pereira, Etelvina Silva, Severiano Rodrigues, Sandra |
| datacite.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2018-01-19T10:00:00Z |
| datacite.date.embargoed.fl_str_mv | 2018-01-19T10:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Chemical composition Goat meat NIRS Prediction |
| datacite.titles.title.fl_str_mv | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Teixeira, Alfredo Oliveira, António Filipe Gomes de Faria Paulos, Kátia Leite, Ana Marcia, Anabela Amorim, André Pereira, Etelvina Silva, Severiano Rodrigues, Sandra |
| dc.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2018-01-19T10:00:00Z |
| dc.date.embargoed.fl_str_mv | 2018-01-19T10:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/16122 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Chemical composition Goat meat NIRS Prediction |
| dc.title.fl_str_mv | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/08f3aca0-95d1-4b09-83c0-72eccf07d47c/download |
| id | ipb_2bc582ea4809665437ad8a690c2d2ea8 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/16122 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/16122 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Teixeira, Alfredo Teixeira, Alfredo https://www.ciencia-id.pt/2A1A-FF0C-185B 2A1A-FF0C-185B http://orcid.org/0000-0003-4607-4796 0000-0003-4607-4796 Oliveira, António Filipe Gomes de Faria Paulos, Kátia Leite, Ana Leite, Ana https://www.ciencia-id.pt/1C15-1046-A5B0 1C15-1046-A5B0 http://orcid.org/0000-0002-4480-724X 0000-0002-4480-724X Marcia, Anabela Amorim, André Pereira, Etelvina Silva, Severiano Rodrigues, Sandra Rodrigues, Sandra https://www.ciencia-id.pt/651F-D964-32E1 651F-D964-32E1 http://orcid.org/0000-0003-3301-1729 0000-0003-3301-1729 |
| publishDate | 2015 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engen_ENThe 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.application/pdfen_ENAn approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopyPersonalTeixeira, AlfredoDSpacehttp://dspace.org/items/27cc89a2-6661-4d8d-a727-21109c04a74eDSpacehttp://dspace.org/items/27cc89a2-6661-4d8d-a727-21109c04a74eTeixeiraAlfredoCiência IDhttps://www.ciencia-id.pt2A1A-FF0C-185BORCIDhttp://orcid.org0000-0003-4607-4796Researcher IDhttps://www.researcherid.comG-4118-2011Scopus Author IDhttps://www.scopus.com56195849200Oliveira, António Filipe Gomes de FariaPaulos, KátiaPersonalLeite, AnaDSpacehttp://dspace.org/items/3d42c391-03b5-4c2d-9ca7-75f8278731ccDSpacehttp://dspace.org/items/3d42c391-03b5-4c2d-9ca7-75f8278731ccLeiteAnaCiência IDhttps://www.ciencia-id.pt1C15-1046-A5B0ORCIDhttp://orcid.org0000-0002-4480-724XMarcia, AnabelaAmorim, AndréPereira, EtelvinaSilva, SeverianoPersonalRodrigues, SandraDSpacehttp://dspace.org/items/684ab6a0-e3ea-4b6e-9874-d20d71e2a3f5DSpacehttp://dspace.org/items/684ab6a0-e3ea-4b6e-9874-d20d71e2a3f5RodriguesSandraCiência IDhttps://www.ciencia-id.pt651F-D964-32E1ORCIDhttp://orcid.org0000-0003-3301-1729Researcher IDhttps://www.researcherid.comC-6486-2008Scopus Author IDhttps://www.scopus.com14048942500HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf0921-4488DOIIsPartOf10.1016/j.smallrumres.2015.03.0062018-01-19T10:00:00Z20152015-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/16122http://purl.org/coar/access_right/c_abf2open accessChemical compositionGoat meatNIRSPrediction662058 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/08f3aca0-95d1-4b09-83c0-72eccf07d47c/download |
| spellingShingle | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy Teixeira, Alfredo Chemical composition Goat meat NIRS Prediction |
| status | SINGLETON |
| subject.fl_str_mv | Chemical composition Goat meat NIRS Prediction |
| title | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| title_full | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| title_fullStr | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| title_full_unstemmed | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| title_short | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| title_sort | An approach to predict chemical composition of goat Longissimus thoracis et lumborum muscle by Near Infrared Reflectance spectroscopy |
| topic | Chemical composition Goat meat NIRS Prediction |
| topic_facet | Chemical composition Goat meat NIRS Prediction |
| url | http://hdl.handle.net/10198/16122 |
| visible | 1 |