Raman-LIBS for the diagnosis of cancer: From tissue imaging to tumor cells
Pengkun Yin1, Zhengying Peng1, Youyuan Chen1, Qingyu Lin2, Yixiang Duan2
1. College of Life Sciences, Sichuan University, Chengdu, Sichuan, People’s Republic of China
2. Research Center of Analytical Instrumentation, School of Mechanical Engineering, Sichuan University, Chengdu, People’s Republic of China
Abstract
Elucidating the boundary of tumors is significant for cancer diagnosis and cure. Our group proposed Raman-LIBS instrument and method for the diagnostic analysis of clinical lung cancer tissues based on label-free imaging. The heterogeneity of multielements and molecular fragments was obtained simultaneously for three types of clinical samples containing different proportions of cancerous tissue by laser-induced breakdown spectroscopy (LIBS) imaging. Moreover, we further focused on the analysis of tumor cell with Raman-LIBS. The qualitative method was developed. We proposed a novel strategy based on SERS and 3D DNA walker for ultrasensitive detection of bacteria. The tumor cell can be recognized by the corresponding aptamer sequence and can be detected by this SERS method.
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Lin(surname) Qingyu
Sichuan University
China
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