02152naa a2200253 a 450000100080000000500110000800800410001902400350006010000180009524501650011326000090027850001290028752011930041665300330160965300310164265300160167365300330168965300170172270000150173970000190175470000170177370000170179077300910180710495902019-09-25 2006 bl uuuu u00u1 u #d7 a10.1007/s00216-006-0483-52DOI1 aCOZZOLINO, D. aCombining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in UruguaybA feasibility study. c2006 aArticle history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006. aAbstract Visible (Vis) and near-infrared reflectance (NIR) spectroscopy combined with chemometrics was explored as a tool to trace muscles from autochthonous and crossbreed pigs from Uruguay. Muscles were sourced from two breeds, namely, the Pampa-Rocha (PR) and the Pampa-Rocha x Duroc (PRxD) crossbreed. Minced muscles were scanned in the Vis and NIR regions (400?2,500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), discriminant partial least square regression (DPLS), linear discriminant analysis (LDA) based on PCA scores and soft independent modelling of class analogy (SIMCA) were used to identify the origin of the muscles based on Vis and NIR data. Full cross validation was used as validation method when classification models were developed. DPLS correctly classified 87% of PR and 78% of PRxD muscle samples. LDA calibration models correctly classified 87 and 67% of muscles as PR and PRxD, respectively. SIMCA correctly classified 100% of PR muscles. The results demonstrated the usefulness of Vis and NIR spectra combined with chemometrics as rapid method for authentication and identification of muscles according to the breed of pig. aLINEAR DISCRIMINANT ANALYSIS aNEAR-INFRARED SPECTROSCOPY aPIG MUSCLES aPRINCIPAL COMPONENT ANALYSIS aTRACEABILITY1 aVADELL, A.1 aBALLESTEROS, F1 aGALIETTA, G.1 aBARLOCCO, N. tAnalytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936.