| Title : |
Proton-transfer reaction mass spectrometry (PTR-MS) for the authentication of regionally unique South African lamb |
| Author(s) : |
Erasmus, S.W., Muller, M., Alewijn, M., Koot, A.H., van Ruth, S.M., Hoffman, L.C. |
| Year : |
2017 |
| Type : |
Scientific (article, thesis, book, ...) |
| Name : |
|
| Peer reviewed : |
Yes |
| Link : |
https://www.scopus.com/record/display.uri?eid=2-s2.0-85018341021&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=b0ef76bc2f4f0c8842ad446b09618c1a&sot=autdocs&sdt=autdocs&sl=17&s=AU-ID(7005259044)&relpos=22&citeCnt=4&searchTerm= |
| Country : |
Netherlands |
| Commodity : |
AP Animal Products-All
|
| Abstract : |
The volatile fingerprints of South African lamb meat and fat were measured by proton-transfer mass spectrometry (PTR-MS) to evaluate it as an authentication tool. Meat and fat of the Longissimus lumborum (LL) of lambs from six different regions were assessed. Analysis showed that the volatile fingerprints were affected by the origin of the meat. The classification of the origin of the lamb was achieved by examining the calculated and recorded fingerprints in combination with chemometrics. Four different partial least squares discriminant analysis (PLS-DA) models were fitted to the data to classify lamb meat and fat samples into “region of origin” (six different regions) and “origin” (Karoo vs. Non-Karoo). The estimation models classified samples 100% correctly. Validation of the first two models gave 42% (fat) and 58% (meat) correct classification of region, while the second two models performed better with 92% (fat) and 83% (meat) correct classification of origin. |
