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- W2186475600 abstract "The determination of the origin of food raw materials, and the detection of adulteration are major issues for the food industry and are attracting research topics. The native Mangalica pig breed is one of the most important issues in this matter in the Hungarian meat industry. Mangalica pigs are used for extensive rearing on prairie-like areas under severe conditions, utilising only the available feed. This pig has a dark and fatty, marbled meat, giving a very favourable taste, and it is beneficial for culinary techniques because it increases the level of sensory qualities. Also this meat is excellent to produce the original Hungarian salami sausage or meat products, with extremely prolonged ripening, such as Serrano ham. Among other reasons, the high commercial value of meats of high consumer popularity leads to an expressed need for fast and reliable methods to identify the animal species and type, either in carcass meats, or even more in meat products. Near infrared (NIR) spectroscopy is one of the most progressive methods frequently used for discriminating between different meats.1–6 Apart from the mostly used “target softwares”, the use of special, open-source software-packages (e.g. R Project for Statistical Computing, www. r-project.org) is spreading. The aim of our study was to evaluate a NIRS method to discriminate between pork groups originated from industrially reared commercial genotypes, and organically reared autochthonous Mangalica. Our goal was to build and test the method with the R project and its GPLS package." @default.
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- W2186475600 date "2010-01-01" @default.
- W2186475600 modified "2023-09-27" @default.
- W2186475600 title "Detection of aliment adulteration by means of near infrared spectroscopy—a feasibility study based on open-source R Project" @default.
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