自发拉曼生物成像--展望 2050 年

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Alison J. Hobro , Nicholas I. Smith
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引用次数: 0

摘要

拉曼成像已被广泛应用于各种生物样本分析,因其非侵入性和只需极少的制备要求就能提供丰富的样本信息而广受青睐。在本文中,我们将简要介绍自发拉曼成像在生物分析中的应用,然后考虑 2050 年的拉曼成像可能是什么样子。我们先讨论拉曼成像技术诞生之初的状况,然后简要介绍当前的技术,最后展望 2050 年。然后,我们讨论了拉曼成像技术在生物样本分析领域持续发展的一些潜在瓶颈,并酌情概述了克服这些挑战的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spontaneous Raman bioimaging – Looking to 2050

Raman imaging has been employed for a wide range of biological sample analyses, is often chosen for its non-invasiveness, and ability to provide rich information from samples with minimal preparation requirements. In this paper we give a brief overview of the applications of spontaneous Raman imaging in bioanalysis and then consider what Raman imaging in 2050 might look like. We discuss the state of Raman imaging around its inception, then provide a snapshot of current technology, then look towards 2050. We then discuss some of the potential bottlenecks for the continuing development of Raman imaging for biological sample analysis and, where appropriate, outline approaches to overcome these challenges.

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来源期刊
Vibrational Spectroscopy
Vibrational Spectroscopy 化学-分析化学
CiteScore
4.70
自引率
4.00%
发文量
103
审稿时长
52 days
期刊介绍: Vibrational Spectroscopy provides a vehicle for the publication of original research that focuses on vibrational spectroscopy. This covers infrared, near-infrared and Raman spectroscopies and publishes papers dealing with developments in applications, theory, techniques and instrumentation. The topics covered by the journal include: Sampling techniques, Vibrational spectroscopy coupled with separation techniques, Instrumentation (Fourier transform, conventional and laser based), Data manipulation, Spectra-structure correlation and group frequencies. The application areas covered include: Analytical chemistry, Bio-organic and bio-inorganic chemistry, Organic chemistry, Inorganic chemistry, Catalysis, Environmental science, Industrial chemistry, Materials science, Physical chemistry, Polymer science, Process control, Specialized problem solving.
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