title: In-situ Iberian pig carcass classification using a micro-electro-mechanical system (MEMS)-based near infrared (NIR) spectrometer.
abstract: Iberian pig (IP) products are gourmet foods highly appreciated at international markets, reaching high prices, because of its exquisite flavors. At present, there aren't practical and affordable analytical methods which can authenticate every single piece put on the market. This paper reports on the performance of a handheld micro-electro-mechanical system (MEMS)-based spectrometer (1600-2400nm) for authentication-classification of individual IP carcasses into different commercial categories. Performance (accuracy and instrumental design) of the instrument was compared with that of high-resolution NIRS monochromators (400-2500nm). A total of 300 carcasses of IPs raised under different feeding regimes ("Acorn", "Recebo" and "Feed") were analyzed in three modes (intact fat in the carcass, skin-free subcutaneous fat samples and melted fat samples). The best classification results for the MEMS instrument were: 93.9% "Acorn" carcasses correctly classified, 96.4% "Feed" and 60.6% "Recebo", respectively. Evaluation of model performance confirmed the suitability of the handheld device for individual, fast, non-destructive, low-cost analysis of IP carcasses on the slaughterhouse line.
authors.affiliation: Department of Animal Production, Non-destructive Sensor Unit, Faculty of Agricultural and Forestry Engineering, University of Córdoba, Agrifood Campus of International Excellence(ceiA3), Campus Rabanales, N-IV, km 396, Córdoba 14014, Spain. e.zamora@uco.es
authors.forename: E
authors.initials: E
authors.lastname: Zamora-Rojas
authors.forename: D
authors.initials: D
authors.lastname: Pérez-Marín
authors.forename: E
authors.initials: E
authors.lastname: De Pedro-Sanz
authors.forename: J E
authors.initials: JE
authors.lastname: Guerrero-Ginel
authors.forename: A
authors.initials: A
authors.lastname: Garrido-Varo
mesh_terms: D000003:Abattoirs; D000465:Algorithms; D000821:Animal Feed; D000818:Animals; D008460:Meat / Q000145:classification*; D055617:Micro-Electrical-Mechanical Systems / Q000379:methods*; D011786:Quality Control; D015203:Reproducibility of Results; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D050151:Subcutaneous Fat / Q000737:chemistry; D013552:Swine