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利用无损伤近红外光谱技术对冷冻伊比利亚猪里脊肉进行标记。

Non-destructive Near Infrared Spectroscopy for the labelling of frozen Iberian pork loins.

机构信息

Faculty of Agricultural and Forestry Engineering, University of Córdoba, Campus Rabanales, N-IV, km 396, Córdoba 14014, Spain.

Faculty of Agricultural and Forestry Engineering, University of Córdoba, Campus Rabanales, N-IV, km 396, Córdoba 14014, Spain.

出版信息

Meat Sci. 2021 May;175:108440. doi: 10.1016/j.meatsci.2021.108440. Epub 2021 Jan 18.

DOI:10.1016/j.meatsci.2021.108440
PMID:33497852
Abstract

Iberian pigs fed on acorns and pasture were slaughtered from January until March of 2018 and 2019. The meat from those Iberian pigs is a seasonal food that only can be found fresh, at the marketplace, during a limit period of the year. Selling frozen-thawed meat is a legal practice, but consumers must be informed about it on the product label. However, to declare as fresh meat, meat previously frozen, is one of the most frequent meat frauds. The present study compares the performance of two rather different Near Infrared Spectroscopy instruments, based on Fourier Transform and Linear Variable Filter technologies, for the in-situ detection of fresh and frozen-thawed acorns-fed Iberian pig loins using Partial Least Discriminant Analysis (PLS-DA). The performance of the models developed for both instruments offered a very high discriminant ability. Furthermore, the models showed consistent results and interpretation when were evaluated with several scalars and graphical methods.

摘要

2018 年和 2019 年 1 月至 3 月,食用橡子和牧场的伊比利亚猪被屠宰。这些伊比利亚猪肉是季节性食品,只能在当年的一个有限时间段内,在市场上找到新鲜的。出售冷冻解冻的肉是合法的做法,但必须在产品标签上告知消费者。然而,将以前冷冻的肉声明为新鲜肉是最常见的肉类欺诈之一。本研究比较了两种截然不同的近红外光谱仪器的性能,这两种仪器基于傅里叶变换和线性可变滤波器技术,使用偏最小二乘判别分析(PLS-DA)对现场检测新鲜和冷冻解冻的橡子喂养伊比利亚猪里脊。为两种仪器开发的模型具有非常高的判别能力。此外,当使用多个标量和图形方法进行评估时,模型显示出一致的结果和解释。

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