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新型表面增强拉曼光谱技术在 DNA、蛋白质和药物检测中的应用。

Novel Surface-Enhanced Raman Spectroscopy Techniques for DNA, Protein and Drug Detection.

机构信息

School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, China.

出版信息

Sensors (Basel). 2019 Apr 10;19(7):1712. doi: 10.3390/s19071712.

DOI:10.3390/s19071712
PMID:30974797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6480126/
Abstract

Surface-enhanced Raman spectroscopy (SERS) is a vibrational spectroscopic technique in which the Raman scattering signal strength of molecules, absorbed by rough metals or the surface of nanoparticles, experiences an exponential growth (10³-10⁶ times and even 10-10 times) because of electromagnetic or chemical enhancements. Nowadays, SERS has attracted tremendous attention in the field of analytical chemistry due to its specific advantages, including high selectivity, rich informative spectral properties, nondestructive testing, and the prominent multiplexing capabilities of Raman spectroscopy. In this review, we present the applications of state-of-the-art SERS for the detection of DNA, proteins and drugs. Moreover, we focus on highlighting the merits and mechanisms of achieving enhanced SERS signals for food safety and clinical treatment. The machine learning techniques, combined with SERS detection, are also indicated herein. This review concludes with recommendations for future studies on the development of SERS.

摘要

表面增强拉曼光谱(SERS)是一种振动光谱技术,其中分子的拉曼散射信号强度通过粗糙金属或纳米粒子的表面吸收,由于电磁或化学增强而经历指数增长(10³-10⁶ 倍甚至 10-10 倍)。如今,由于其独特的优势,包括高选择性、丰富的信息光谱特性、无损检测以及拉曼光谱的突出多路复用能力,SERS 在分析化学领域引起了极大的关注。在本综述中,我们介绍了最先进的 SERS 在检测 DNA、蛋白质和药物方面的应用。此外,我们重点强调了实现食品安全和临床治疗中增强 SERS 信号的优点和机制。本文还指出了将机器学习技术与 SERS 检测相结合的方法。本综述最后对 SERS 发展的未来研究提出了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/8ee4452c1727/sensors-19-01712-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/e1398d48fd82/sensors-19-01712-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/e53adc65a43e/sensors-19-01712-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/06cb7549fe56/sensors-19-01712-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/d685eb840566/sensors-19-01712-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/39f709fd5f71/sensors-19-01712-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/8ee4452c1727/sensors-19-01712-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/e1398d48fd82/sensors-19-01712-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/7731276c4ba4/sensors-19-01712-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/27c98a1f3f38/sensors-19-01712-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/e53adc65a43e/sensors-19-01712-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/06cb7549fe56/sensors-19-01712-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/d685eb840566/sensors-19-01712-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/39f709fd5f71/sensors-19-01712-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdd0/6480126/8ee4452c1727/sensors-19-01712-g008.jpg

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