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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微系统二极管激光器,用于肉类腐败状况的原位识别

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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:基于连接了671 nm微系统二极管激光器的小型光学平台,我们提出了一种便携式拉曼系统,用于快速就地表征肉类变质。它包括一个用于拉曼信号激励和采集的手持式传感器头(尺寸:210 x 240 x 60 mm3),包括拉曼光学平台,激光驱动器和电池组。样品的反向散射拉曼辐射通过定制设计的微型光谱仪(尺寸:200 x 190 x 70 mm3)进行分析,分辨率为8 cm-1,通过光纤耦合到传感器头。上网本用于控制检测器和数据记录。在长达3周的时间依赖性测量系列中,对在5°C下冷藏的猪肉(长背musmus mus dorsi and hamsi)的部分猪肉进行了研究,以评估该系统对于快速检测肉腐败的适用性。在样品肉上使用100 mW的激光功率,可以获得5-10秒的典型积分时间的肉光谱。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,拉曼数据与平行进行的参考分析相关。这样,可以在屠宰后7-8天的时间段中发现新鲜和变质的肉。将讨论该系统在肉类和其他食品的快速变质检测中的适用性。

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