Search

Diffuse reflectance near-infrared (NIR) data (908–1676 nm) of chicken breast fillets was recorded in a non-destructive way using a portable miniaturised NIR spectrometer. The NIR data was used to discriminate between fresh and thawed breast fillets and to determine the birds’ growth conditions. NIR data was recorded of 153 commercial supermarket chicken fillet samples by applying the NIR device equipped with the standard issue collar on the samples in three different ways: (i) directly on the meat (ii) through the top foil of the package (i.e. with an air pocket between the foil and the breast fillet), and (iii) through the top foil with the packaging turned bottom up (i.e. no air pocket between the foil and the breast fillet). In order to generate thawed samples, the fresh samples were frozen and subsequently thawed. The freshness of the fillets was checked using β-hydroxyacyl-CoA-dehydrogenase of 13% of the sample set. Five NIR spectra were collected per measurement mode from each sample resulting in 4590 raw NIR spectra. Multivariate statistics was applied and the interpretation of these calculations can be found in Parastar et al. [1]. The NIR data has a reuse potential for follow-up studies of chicken breast fillet authentication using a similar brand NIR device or to serve as calibration transfer data. Keywords: Handheld near-infrared, Chicken breast fillet, Meat authenticity, Growth conditions, Chemometrics, Ensemble learning

Nowadays, and particularly after the horse meat scandal in Europe, consumers are increasingly aware of the problem of food adulteration and consequently demand clear and reliable information about the composition of foods they are buying and eating. Meat, a highly appreciated premium source of protein, is among the foods most prone to suffer adulteration for economic gain. According to EU legislation laying down the general principles and requirements of food law (European Commission, 2002) and EU labeling regulations (European Commission, 2001), meat products should be accurately labeled regarding their species content, with food adulteration and misleading information being considered illegal. However, because of its high demand and value, frauds in the meat industry and retail markets have become a widespread problem, especially in ground and comminuted meat products. info:eu-repo/semantics/publishedVersion