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用于新鲜农产品内层化学分析的透射拉曼光谱法。

Transmission Raman Spectroscopy for Inner Layers Chemical Analysis of Fresh Produce.

作者信息

Arielly Rani

机构信息

Institute of Agricultural and Biosystems Engineering, Agricultural Research Organization-Volcani Institute, Rishon LeZion 7505101, Israel.

出版信息

Sensors (Basel). 2025 Apr 29;25(9):2805. doi: 10.3390/s25092805.

Abstract

Identification of chemical properties in the inner tissues of fresh produce would enable us to identify major issues plaguing the agriculture supply chain, like off-flavors and core rot since these are caused by or accompanied by known chemical elements. We show the development of transmission Raman spectroscopy system for identifying these elements by addressing several issues: we located an optimal spectral window by conducting optical attenuation measurements and calculated the required LASER power in that range. For apple tissues, this optical window was found in the 700-950 nm range, and the required LASER power range was calculated to be in the 40-700 mW range. We also calculated that the optimal shifted-excitation Raman difference spectroscopy wavelengths should be separated by 0.7 nm in order to optimally produce narrow and high-intensity Raman peak features and eliminate the competing fluorescence signal. Finally, we provide a complete optical system design with exact optimal parameters. In contrast to other fields like pharmaceuticals and medicine, transmission Raman spectroscopy has not been applied extensively in agriculture. Therefore, this study fills a gap in that field's applicability.

摘要

识别新鲜农产品内部组织的化学性质将使我们能够识别困扰农业供应链的主要问题,如异味和果心腐烂,因为这些问题是由已知化学元素引起或伴随出现的。我们通过解决几个问题展示了用于识别这些元素的透射拉曼光谱系统的开发:我们通过进行光学衰减测量确定了一个最佳光谱窗口,并计算了该范围内所需的激光功率。对于苹果组织,该光学窗口在700 - 950纳米范围内,所需的激光功率范围经计算为40 - 700毫瓦。我们还计算出,最佳的位移激发拉曼差光谱波长应相隔0.7纳米,以便最佳地产生窄且高强度的拉曼峰特征并消除竞争荧光信号。最后,我们提供了一个具有精确最佳参数的完整光学系统设计。与制药和医学等其他领域不同,透射拉曼光谱在农业中尚未得到广泛应用。因此,本研究填补了该领域应用方面的空白。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68e7/12074427/8e2d0d886ec3/sensors-25-02805-g001.jpg

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