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利用基于微机电系统(MEMS)的近红外(NIR)光谱仪对现场伊比利亚猪胴体进行分类。

In-situ Iberian pig carcass classification using a micro-electro-mechanical system (MEMS)-based near infrared (NIR) spectrometer.

机构信息

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.

出版信息

Meat Sci. 2012 Mar;90(3):636-42. doi: 10.1016/j.meatsci.2011.10.006. Epub 2011 Oct 21.

DOI:10.1016/j.meatsci.2011.10.006
PMID:22075264
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.

摘要

伊比利亚猪(IP)产品是国际市场上备受推崇的美食,因其口感鲜美而价格高昂。目前,还没有实用且经济实惠的分析方法可以对市场上的每一块产品进行认证。本文报告了一种基于手持式微机电系统(MEMS)的光谱仪(1600-2400nm)在认证和分类个别 IP 胴体进入不同商业类别方面的性能。仪器的性能(准确性和仪器设计)与高分辨率近红外光谱仪(400-2500nm)进行了比较。总共分析了 300 头在不同饲养方式下(“橡子”、“Recebo”和“饲料”)饲养的 IP 胴体,采用三种模式(胴体完整的脂肪、去皮的皮下脂肪样本和融化的脂肪样本)。MEMS 仪器的最佳分类结果为:93.9%的“橡子”胴体被正确分类,96.4%的“饲料”和 60.6%的“Recebo”。模型性能的评估证实了该手持式设备适用于在屠宰线上对 IP 胴体进行个体、快速、无损、低成本的分析。

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