Citation: XU Jing-Wen, SONG Yan-Yan. Fast Detection of Biomarker in Exhaled Breath Based on Surface-enhanced Raman Scattering Barcodes[J]. Chinese Journal of Analytical Chemistry, ;2022, 50(11): 1765-1768. doi: 10.19756/j.issn.0253-3820.221266 shu

Fast Detection of Biomarker in Exhaled Breath Based on Surface-enhanced Raman Scattering Barcodes

XU Jing-Wen ^, ,
SONG Yan-Yan

College of Sciences, Northeastern University, Shenyang 114001, China

Corresponding author: XU Jing-Wen, xujingwen@mail.neu.edu.cn
Received Date: 26 May 2022
Revised Date: 26 June 2022

Fund Project: Supported by the National Natural Science Foundation of China (No.22074013).

Volatile organic compounds (VOCs) in exhaled breath have "fingerprint" feature, thus can be used as disease markers for early cancer diagnosis. Surface-enhanced Raman scattering (SERS) has a rapid response speed, and it is anti-interference to water molecules. However, the application of SERS for detection of disease markers in exhaled breath is faced with two major challenges: the low detection sensitivity caused by the high mobility of gas molecules and the high misdiagnosis rate induced by detection of single biomarker. Recently, on Angewandte Chemie-International Edition, Professor TIAN Yang from East China Normal University used Cu-doped p-n heterojunction semiconductor with spongy-like structure as SERS substrate. By combining with Raman barcodes, the proposed SERS platform was applied to detect multiple biomarkers in human exhaled breath simultaneously for diagnosis of lung cancer with high sensitivity, providing a new strategy for the early diagnosis of cancers.
- Biomarkers,
- Non-invasive detection,
- Surface-enhanced Raman scattering,
- Raman barcodes,
- Chemical enhancement
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