本研究旨在開發一套自動化拉曼映射系統，用於識別和分析微塑料和三聚氰胺的分布。利用LabVIEW設計的人機介面，該系統能夠快速且高效地進行樣品的掃描和mapping。本研究首先探討了系統的軟硬體整合，包括光譜儀參數設定、樣品微調和數據顯示。實驗結果顯示，系統在10分鐘暖機後，量測訊號穩定度達到變異係數(簡稱CV)2.6%，並且在12mm範圍內，XY平台掃描均勻性 CV<4%。本研究成功地使用拉曼光譜成像技術區分了聚苯乙烯(PS)和三聚氰胺(MEL)，並通過拉曼光譜映射圖像有效地辨識其空間分布位置。此外，系統具備自動扣除背景數據的功能，大幅提高了數據處理的效率和精度。未來，本研究計畫進一步整合更多種類的微塑料，並引入機器學習和人工智慧技術，提升系統的自動化和識別能力。

This study aims to develop an automated Raman mapping system for identifying and analyzing the distribution of microplastics and melamine. Utilizing a LabVIEW-designed human-machine interface, the system can rapidly and efficiently scan and map samples. The study first explores the integration of the system's software and hardware, including spectrometer parameter settings, sample fine-tuning, and data display. Experimental results show that after a 10-minute warm-up, the measurement signal stability achieves a CV of 2.6%, and within a 12mm range, the XY platform scan uniformity CV is less than 4%. This study successfully used Raman mapping technology to distinguish between polystyrene (PS) and melamine (MEL), effectively identifying their distribution locations through mapping images. Additionally, the system features automatic background data subtraction, significantly improving data processing efficiency and accuracy. In the future, this study plans to integrate more types of microplastics and introduce machine learning and artificial intelligence technologies to enhance the system's automation and identification capabilities.

[1] John R. Ferraro, Kazuo Nakamoto, and Chris W. Brown, Introductory Raman Spectroscopy. Academic Press, 2003.
[2] C. Coman and L. F. Leopold, “Raman Mapping: Emerging Applications,” in Raman Spectroscopy and Applications, K. Maaz, Ed., InTech, 2017. doi: 10.5772/66097.
[3] J. Qin, K. Chao, and M. S. Kim, “Raman Chemical Imaging System for Food Safety and Quality Inspection,” Trans. ASABE, vol. 53, no. 6, pp. 1873–1882, 2010, doi: 10.13031/2013.35796.
[4] W. Yang, A. S. Mondol, C. Stiebing, L. Marcu, J. Popp, and I. W. Schie, “Raman ChemLighter: Fiber optic Raman probe imaging in combination with augmented chemical reality,” J. Biophotonics, vol. 12, no. 7, p. e201800447, Jul. 2019, doi: 10.1002/jbio.201800447.
[5] Z. Li et al., “High-performance SERS substrate based on hybrid structure of graphene oxide/AgNPs/Cu film@pyramid Si,” Sci. Rep., vol. 6, no. 1, p. 38539, Dec. 2016, doi: 10.1038/srep38539.
[6] A. A. Mencaglia, I. Osticioli, D. Ciofini, L. Gallo, and S. Siano, “Raman spectrometer for the automated scan of large painted surfaces,” Rev. Sci. Instrum., vol. 90, no. 5, p. 053101, May 2019, doi: 10.1063/1.5088039.
[7] J. Qin, K. Chao, and M. S. Kim, “Nondestructive evaluation of internal maturity of tomatoes using spatially offset Raman spectroscopy,” Postharvest Biol. Technol., vol. 71, pp. 21–31, Sep. 2012, doi: 10.1016/j.postharvbio.2012.04.008.
[8] C. J. Moore, “Synthetic polymers in the marine environment: A rapidly increasing, long-term threat,” Environ. Res., vol. 108, no. 2, pp. 131–139, Oct. 2008, doi: 10.1016/j.envres.2008.07.025.
[9] M. A. Browne, A. Dissanayake, T. S. Galloway, D. M. Lowe, and R. C. Thompson, “Ingested Microscopic Plastic Translocates to the Circulatory System of the Mussel, Mytilus edulis (L.),” Environ. Sci. Technol., vol. 42, no. 13, pp. 5026–5031, Jul. 2008, doi: 10.1021/es800249a.
[10] L. S. Fendall and M. A. Sewell, “Contributing to marine pollution by washing your face: Microplastics in facial cleansers,” Mar. Pollut. Bull., vol. 58, no. 8, pp. 1225–1228, Aug. 2009, doi: 10.1016/j.marpolbul.2009.04.025.
[11] R. Lenz, K. Enders, C. A. Stedmon, D. M. A. Mackenzie, and T. G. Nielsen, “A critical assessment of visual identification of marine microplastic using Raman spectroscopy for analysis improvement,” Mar. Pollut. Bull., vol. 100, no. 1, pp. 82–91, Nov. 2015, doi: 10.1016/j.marpolbul.2015.09.026.
[12] 謝牧樵, “微光致螢光量測系統之研製,” 2018.
[13] 嵇煥文, “開發自動化拉曼量測系統並結合主成分分析辨別真假酒,” 2022.
[14] D. Diaz Barrero, G. Zeller, M. Schlösser, B. Bornschein, and H. H. Telle, “Versatile Confocal Raman Imaging Microscope Built from Off-the-Shelf Opto-Mechanical Components,” Sensors, vol. 22, no. 24, p. 10013, Dec. 2022, doi: 10.3390/s222410013.
[15] J. Kodosky, “LabVIEW,” Proc. ACM Program. Lang., vol. 4, no. HOPL, pp. 1–54, Jun. 2020, doi: 10.1145/3386328.
[16] S.-J. Lee, K. H. Lee, Y.-W. Choi, J. K. Kim, and W. J. Choi, “Optical-Switch Raman Spectroscopy for High Throughput Screening,” BioChip J., vol. 17, no. 3, pp. 318–328, Sep. 2023, doi: 10.1007/s13206-023-00113-3.
[17] Z. Zhou et al., “Facile large-area autofocusing Raman mapping system for 2D material characterization,” Opt. Express, vol. 26, no. 7, p. 9071, Apr. 2018, doi: 10.1364/OE.26.009071.
[18] D. B. Menezes, A. Reyer, A. Marletta, and M. Musso, “Glass transition of polystyrene (PS) studied by Raman spectroscopic investigation of its phenyl functional groups,” Mater. Res. Express, vol. 4, no. 1, p. 015303, Jan. 2017, doi: 10.1088/2053-1591/4/1/015303.
[19] L. He et al., “A new approach to measure melamine, cyanuric acid, and melamine cyanurate using surface enhanced Raman spectroscopy coupled with gold nanosubstrates,” Sens. Instrum. Food Qual. Saf., vol. 2, no. 1, pp. 66–71, Mar. 2008, doi: 10.1007/s11694-008-9038-0.
[20] HORIBA France SAS, “Ultra Fast Raman Imaging for detailed Raman maps.”