Spatially offset Raman spectroscopy for biomedical applications.
Spatially offset Raman spectroscopy for biomedical applications.
复制标题
DOI：
10.1039/d0cs00855a
复制
发表时间：
2021-01-07
影响因子：
46.2
通讯作者：
Matousek P
中科院分区：
文献类型：
--
作者：
Nicolson F ;Kircher MF ;Stone N ;Matousek P
近年来，拉曼光谱在深入探测生物组织等浑浊介质的能力方面取得了重大进展。这一进展得益于一系列基于空间偏移拉曼光谱 (SORS) 的专业技术的出现，能够对活体组织进行高达 5 厘米深度的非侵入性探测。与传统拉曼方法相比，这意味着深度穿透能力提高了两个数量级。结合拉曼光谱固有的高分子特异性，这为医疗诊断和疾病监测等多个领域的一系列新分析应用开辟了全新的前景。本文讨论了 SORS 和深层拉曼光谱的相关变体，例如透射拉曼光谱 (TRS)、微 SORS 和表面增强空间偏移拉曼光谱 (SESORS)，并回顾了过去 5 年该领域取得的进展，包括非侵入性癌症诊断、神经递质监测和骨疾病评估方面的进展。讨论了使用 SORS 进行非侵入性生物医学分析的最新进展。
In recent years, Raman spectroscopy has undergone major advancements in its ability to probe deeply through turbid media such as biological tissues. This progress has been facilitated by the advent of a range of specialist techniques based around spatially offset Raman spectroscopy (SORS) to enable non-invasive probing of living tissue through depths of up to 5 cm. This represents an improvement in depth penetration of up to two orders of magnitude compared to what can be achieved with conventional Raman methods. In combination with the inherently high molecular specificity of Raman spectroscopy, this has therefore opened up entirely new prospects for a range of new analytical applications across multiple fields including medical diagnosis and disease monitoring. This article discusses SORS and related variants of deep Raman spectroscopy such as transmission Raman spectroscopy (TRS), micro-SORS and surface enhanced spatially offset Raman spectroscopy (SESORS), and reviews the progress made in this field during the past 5 years including advances in non-invasive cancer diagnosis, monitoring of neurotransmitters, and assessment of bone disease. Recent advances in non-invasive biomedical analysis using SORS are discussed.
登录
查看更多内容
影响因子：
2.8
作者：
Chen, Mingzhou;Mas, Josep;Dholakia, Kishan
通讯作者：
Dholakia, Kishan
影响因子：
3.5
作者：
Efremov, Evtim V.;Buijs, Joost B.;Ariese, Freek
通讯作者：
Ariese, Freek
影响因子：
4.6
作者：
Dinish US;Balasundaram G;Chang YT;Olivo M
通讯作者：
Olivo M
影响因子：
3.5
作者：
Day, J. C. C.;Bennett, R.;Stone, N.
通讯作者：
Stone, N.
影响因子：
9.5
作者：
Asiala, Steven M.;Shand, Neil C.;Graham, Duncan
通讯作者：
Graham, Duncan