Affiliation:
1. State Key Laboratory of Systems Medicine for Cancer School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 P. R. China
2. Institute of Medical Robotics Shanghai Jiao Tong University Shanghai 200127 P. R. China
3. Shanghai Key Laboratory of Gynecologic Oncology Ren Ji Hospital, School of Medicine Shanghai Jiao Tong University Shanghai 200127 P. R. China
Abstract
AbstractSurface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting and sensitive analytical technique, has exerted high applicational value in a broad range of fields including biomedicine, environmental protection, food safety among the others. In the endless pursuit of ever‐sensitive, robust, and comprehensive sensing and imaging, advancements keep emerging in the whole pipeline of SERS, from the design of SERS substrates and reporter molecules, synthetic route planning, instrument refinement, to data preprocessing and analysis methods. Artificial intelligence (AI), which is created to imitate and eventually exceed human behaviors, has exhibited its power in learning high‐level representations and recognizing complicated patterns with exceptional automaticity. Therefore, facing up with the intertwining influential factors and explosive data size, AI has been increasingly leveraged in all the above‐mentioned aspects in SERS, presenting elite efficiency in accelerating systematic optimization and deepening understanding about the fundamental physics and spectral data, which far transcends human labors and conventional computations. In this review, the recent progresses in SERS are summarized through the integration of AI, and new insights of the challenges and perspectives are provided in aim to better gear SERS toward the fast track.
Funder
National Natural Science Foundation of China
Shanghai Jiao Tong University
Shanghai Municipal Education Commission
Shanghai Key Laboratory of Gynecologic Oncology
Science and Technology Commission of Shanghai Municipality
Subject
General Materials Science,General Chemistry