生物传感器
表面增强拉曼光谱
拉曼光谱
纳米技术
材料科学
计算机科学
计算生物学
生物
物理
拉曼散射
光学
作者
Sila Jin,Igor K. Lednev,Young Mee Jung
标识
DOI:10.1021/acs.jpcc.4c02011
摘要
The recent advances in surface-enhanced Raman spectroscopy (SERS) have developed label-free biosensors for early diagnosis of diseases. This review explores the recent trends of SERS-based biosensors, focusing on their potential applications for the rapid and accurate detection of diseases without labeling agents. The integration of SERS with biosensor platforms provides a powerful approach to enhance sensitivity and selectivity in the detection of biomolecules associated with diseases. The integration of artificial intelligence to optimize data analysis and improve diagnostic accuracy is discussed. This study provides valuable insight into the current landscape of SERS-based biosensors for label-free early diagnosis of diseases by summarizing key studies and innovations.
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