Design and Implementation of a Portable Rapid Detection Based on Plasmon-Enhanced Raman Spectroscopy
XUE Wen-dong1, ZHENG Wen-kai1, CHEN Jin-fu1, HONG Yong-qiang1, WANG Lei1*, ZENG Yong-ming2, LIU Guo-kun2
1. School of Aerospace Engineering, Xiamen University, Xiamen 361005, China
2. College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
Abstract:The detection equipment for food safety, environmental pollution, drug safety, chemical warfare agents requires portable, fast and accurate detection. The traditional laboratory test methods can meet accurate requirement, but it is slow and cumbersome. This paper proposes a portable and rapid detection equipment based on plasmon-enhanced Raman spectroscopy, which can realize rapid qualitative and accuracy detection. The equipment system is based on ARM embedded architecture. The UI interface and drivers are finished and the algorithms of auto calibration of Raman spectroscopy data and characteristic spectra fast recognition is designed. The spectrum database of standard subjects is constructed in this local equipment, which is classified according to the test required subject. The database includes a variety of substances in every subject, which contains standard and sample spectrum of different concentration. The algorithms of multiple substances identification and GPU hardware acceleration are designed and presented in this paper, which can detect mixed sample with more than twenty times faster then CPU soft calculate. A series of experiments are finished in the end to verify the algorithms and performance of the proposed equipment, such as wine, fruit juice and functional drinks getting from shop. The result meets the expectation with good sensitivity and reproducibility.
薛文东,郑文楷,陈劲夫,洪永强,王 磊,曾勇明,刘国坤. 基于等离激元增强拉曼光谱的便携式快速检测仪设计与实现[J]. 光谱学与光谱分析, 2017, 37(12): 3730-3735.
XUE Wen-dong, ZHENG Wen-kai, CHEN Jin-fu, HONG Yong-qiang, WANG Lei, ZENG Yong-ming, LIU Guo-kun. Design and Implementation of a Portable Rapid Detection Based on Plasmon-Enhanced Raman Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3730-3735.
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