Nanostructured Surface for SERS Detection of Diseases
Tianxun Gong
State Key Laboratory of Electronic Thin Films and Integrated Devices; School of Electronic Science and Engineering (National Exemplary School of Microelectronics); University of Electronic Science and Technology of China, Chengdu, 610054 China
txgong@uestc.edu.cn
Abstract
Surface Enhanced Raman Spectroscopy (SERS) is able to provide “fingerprints” information of the molecules in bio-samples, even in ultra-low concentration. To obtain high enhancement from the near field resonance, also consider different characteristics of the samples, various SERS platforms need to be developed. Our group designed and fabricated optical fiber and substrate platforms to detect samples such as cancer cells, enzymes, and blood serum. Specific detection was achieved by careful manipulation of the antibodies, peptides, and functional groups. Furthermore, machine learning was adopted to analyze the characteristic peaks of the samples from complex Raman spectra. These SERS platforms were used in the applications on diseases detections, such as vascular disease and colorectal cancer.
Short Bio
Tianxun Gong obtained his Ph.D. degree from Nanyang Technological University, Singapore in 2015. He also performed collaborated research in Singapore Bioimaging Consortium, A*STAR from 2012 to 2016. Tianxun Gong is currently working at University of Electronic Science and Technology of China, his research focus is nanosensors and its applications on biomedical detections. He is a senior member of the biomedical photonics branch of the Chinese Society of Biomedical Engineering. He has published over 40 peer-reviewed articles with more than 700 citations.