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671-nm microsystem diode laser based on portable Raman sensor device for in-situ identification of meat spoilage

机译:基于便携式拉曼传感器装置的671-NM微系统二极管激光,用于肉类腐败的原位识别

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Based on a miniaturized optical bench with attached 671 nm microsystem diode laser we present a portable Raman system for the rapid in-situ characterization of meat spoilage. It consists of a handheld sensor head (dimensions: 210 x 240 x 60 mm3) for Raman signal excitation and collection including the Raman optical bench, a laser driver, and a battery pack. The backscattered Raman radiation from the sample is analyzed by means of a custom-designed miniature spectrometer (dimensions: 200 x 190 x 70 mm3) with a resolution of 8 cm-1 which is fiber-optically coupled to the sensor head. A netbook is used to control the detector and for data recording. Selected cuts from pork (musculus longissimus dorsi and ham) stored refrigerated at 5 °C were investigated in timedependent measurement series up to three weeks to assess the suitability of the system for the rapid detection of meat spoilage. Using a laser power of 100 mW at the sample meat spectra can be obtained with typical integration times of 5 - 10 seconds. The complex spectra were analyzed by the multivariate statistical tool PCA (principal components analysis) to determine the spectral changes occurring during the storage period. Additionally, the Raman data were correlated with reference analyses performed in parallel. In that way, a distinction between fresh and spoiled meat can be found in the time slot of 7 - 8 days after slaughter. The applicability of the system for the rapid spoilage detection of meat and other food products will be discussed.
机译:基于具有附着的671nm微型二极管激光器的小型化光学台,我们为肉类腐败的快速原位表征提供了一种便携式拉曼系统。它由手持式传感器头(尺寸:210 x 240 x 60 mm3)组成,用于拉曼信号励磁和集合,包括拉曼光学台,激光驱动器和电池组。通过定制设计的微型光谱仪(尺寸:200 x 190 x 70mm3)分析来自样品的后散射拉曼辐射,该分辨率为8cm-1,其光纤耦合到传感器头。上网本用于控制检测器和数据记录。在5℃下储存的猪肉(Musculus Longissimus Dorsi和Ham)的选定切割,在时间依存测量系列中,高达三周时间来评估系统快速检测肉类腐败的适用性。在样品肉谱中使用100mW的激光功率可以获得5-10秒的典型积分时间。通过多元统计工具PCA(主成分分析)分析复杂光谱,以确定在存储期间发生的光谱变化。另外,拉曼数据与并行执行的参考分析相关。这样,在屠宰后7到8天的时隙中可以发现新鲜和损坏的肉之间的区别。将讨论系统对快速腐败检测的肉类和其他食品的适用性。

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