Bibliographic Details
| Title: |
Surface‐Enhanced Raman Spectroscopy‐Based Optical Biosensor for Liquid Biopsy: Toward Precision Medicine. |
| Authors: |
Fan, Min1 (AUTHOR), Weng, Youliang2 (AUTHOR), Liu, Yi1 (AUTHOR), Lu, Yudong3 (AUTHOR), Xu, Luyun1 (AUTHOR), Ye, Jianqing1 (AUTHOR), Lin, Duo1 (AUTHOR) duo@fjnu.edu.cn, Qiu, Sufang2 (AUTHOR) sufangqiu@fjmu.edu.cn, Feng, Shangyuan1 (AUTHOR) syfeng@fjnu.edu.cn |
| Source: |
Laser & Photonics Reviews. May2024, Vol. 18 Issue 5, p1-19. 19p. |
| Subject Terms: |
*DEEP learning, *CIRCULATING tumor DNA, *INDIVIDUALIZED medicine, *MACHINE learning, *SERS spectroscopy, *BODY fluid analysis, *ARTIFICIAL intelligence |
| Abstract: |
Liquid biopsy is regarded as a promising strategy for assisting precision medicine because of its convenience, noninvasiveness, and ability to overcome tumor heterogeneity and achieve early detection. Recently, impressive advancements in plasmonic biosensors, artificial intelligence, and portable Raman equipment have yielded unprecedented progress in surface‐enhanced Raman spectroscopy (SERS)–based point‐of‐care testing (POCT) systems for liquid biopsy. The development of these systems presents a paradigm shift in on‐site liquid biopsy applications by leveraging the unique benefits of efficiency, fast analysis, portability, affordability, and user‐friendliness. Herein, these advances are introduced over the last 3 years in the field of SERS‐based POCT systems for labeled and label‐free biomarker analysis in body fluids, including tumor circulating proteins and cells, exosomes, micro‐RNA, and circulating tumor DNA. Additionally, powerful machine learning algorithms (including deep learning algorithms) are integrated with SERS to effectively extract potential data features and generate precise diagnostic models. The review highlights the use of handheld and portable Raman devices in significantly promoting the application of SERS‐based POCT in clinical scenarios. Finally, the review outlines the challenges and future perspectives of this technology. [ABSTRACT FROM AUTHOR] |
|
Copyright of Laser & Photonics Reviews is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Academic Search Complete |
