Dynamic confocal Raman spectroscopy of flowing blood in bionic blood vessel

被引:5
|
作者
Wang, Hongpeng [1 ,3 ]
Ma, Huanzhen [2 ,4 ]
Fang, Peipei [2 ,4 ]
Xin, Yingjian [1 ,3 ,4 ]
Li, Chenhong [1 ,3 ,4 ]
Wan, Xiong [1 ,2 ,3 ]
He, Zhiping [1 ,3 ]
Jia, Jianjun [1 ,3 ,6 ]
Ling, Zongcheng [5 ]
机构
[1] Chinese Acad Sci, Key Lab Space Act Optoelect Technol, Shanghai 200083, Peoples R China
[2] UCAS, Hangzhou Inst Adv Study, Sch Life Sci, Hangzhou 310024, Peoples R China
[3] Chinese Acad Sci, Shanghai Inst Tech Phys, 500 Yutian Rd, Shanghai 200083, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] Shandong Univ, Sch Space Sci & Phys, Inst Space Sci, Shandong Key Lab Opt Astron & Solar Terr Environm, Weihai 264209, Shandong, Peoples R China
[6] Shanghai Res Ctr Quantum Sci, Shanghai 201315, Peoples R China
基金
上海市自然科学基金; 中国国家自然科学基金;
关键词
Dynamic confocal Raman spectroscopy; Flowing blood; Bionic blood vessel; Identification; IDENTIFICATION; GRAPHENE;
D O I
10.1016/j.saa.2021.119890
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
How to quickly and safely identify blood species has always been an urgent problem for scientists. Smear test method has the risk of blood contamination, and the blood itself may carry some unknown viruses or pathogens, which will bring health risks to the testing personnel. Therefore, in order to meet the urgent needs of rapid and safe detection of blood, a technology which can detect dynamic confocal Raman spectroscopy of flowing blood in bionic blood vessel was proposed. The blood, which was sealed in the bionic blood vessel, flowed through the focus gaze area of laser by the microfluidic pump, to detect the dynamic blood Raman spectrum. Human blood and cattle blood were selected as experimental objects, and the experiments were carried out under the same parameters. Combined with PCA-LDA (principal component analysis and linear discriminate analysis) classification model, the predictive classification of the two species without error recognition was realized. The hidden weak Raman signals were mined by derivative spectra, and the fundamental differences of Raman spectra of two species were compared. Then the biochemical information that caused the differences was also analyzed. The results show the method can meet the detection requirements of sealed blood, and the Raman spectra of flowing blood is more representative than those of static blood. (c) 2021 Published by Elsevier B.V.
引用
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页数:8
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