Discriminating muscle type of selected game species using near infrared (NIR) spectroscopy

Simple item page
dc.contributor.authorDumalisile, Pholisaen_ZA
dc.contributor.authorManley, Marenaen_ZA
dc.contributor.authorHoffman, Louwrensen_ZA
dc.date.accessioned2022-07-13T08:57:48Z
dc.date.available2022-07-13T08:57:48Z
dc.date.issued2019-11-02
dc.descriptionCITATION: Dumalisile, P. et al. 2020. Discriminating muscle type of selected game species using near infrared (NIR) spectroscopy. Food Control, 110. doi:10.1016/j.foodcont.2019.106981.
dc.descriptionThe original publication is available at http://www.journals.elsevier.com/food-control/
dc.description.abstractIn this study near infrared (NIR) spectroscopy was used to discriminate between different muscle types within each species of selected game animals, and to classify species regardless of the muscle. Muscle steaks from longissimus thoracis et lumborum (LTL) located at the 6th rib of the carcasses, infraspinatus (IS) and supraspinatus (SS) located on the forequarter, and biceps femoris (BF), semitendinosus (ST) and semimembranosus (SM) located on the hindquarter of impala and eland species; and samples from fan fillet (FF), big drum (BD), triangle steak (TS), moon steak (MS) and rump steak (RS) of ostrich species were scanned with a handheld NIR spectrophotometer in the spectral range of 908–1700 nm. Spectra were pre-treated with different pre-processing methods and classification models were developed using partial least squares discriminant analysis (PLS-DA). Classification accuracies were higher when the muscles were grouped according to their anatomical location in the carcass, than attempting to classify them separately. Classification accuracies ranging from 85.0 to 100% were achieved throughout, with forequarter muscles yielding the highest classification accuracy rate for both impala and eland species. Furthermore, when the species were discriminated regardless of muscles, PLS-DA models pre-treated with SNV-Detrend and Savitzky-Golay 1st derivative yielded accuracies of 97, 81 and 92% for eland, impala and ostrich, respectively. These results indicate that NIR spectroscopy can be used for the authentication of game meat, specifically impala, eland and ostrich. Furthermore, it was easier to discriminate species regardless of the muscle used than different muscles within each species.en_ZA
dc.description.urihttps://www.sciencedirect.com/science/article/pii/S0956713519305705
dc.description.versionPublishers version
dc.identifier.issn0956-7135 (print)
dc.identifier.otherdoi:10.1016/j.foodcont.2019.106981
dc.identifier.urihttp://hdl.handle.net/10019.1/125493
dc.language.isoen_ZAen_ZA
dc.publisherElsevier
dc.subjectNear infrared spectroscopyen_ZA
dc.subjectDiscriminationen_ZA
dc.subjectMultivariate analysis -- Data processingen_ZA
dc.subjectMuscle typesen_ZA
dc.subjectGame meat -- Qualityen_ZA
dc.subjectFood fraud -- Preventionen_ZA
dc.titleDiscriminating muscle type of selected game species using near infrared (NIR) spectroscopyen_ZA
dc.typeArticleen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
dumalisile_discriminating_2020.pdf
Size:
4.27 MB
Format:
Adobe Portable Document Format
Description:
Download article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles (Animal Sciences)
Research Articles (Food Science)