4.6 Editorial Material

Recent advances in nanostructured substrates for surface-enhanced infrared absorption spectroscopy

期刊

NANOTECHNOLOGY
卷 34, 期 38, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1361-6528/acd943

关键词

surface-enhanced infrared absorption; nanostructured substrates; metallic materials; semiconductor materials; graphene materials

向作者/读者索取更多资源

Surface-enhanced infrared absorption (SEIRA) spectroscopy is a surface sensitive technique that uses the electromagnetic properties of nanostructured substrates to amplify the vibrational signals of adsorbed molecules. It has high sensitivity and wide adaptability, making it suitable for qualitative and quantitative analyses of trace gases, biomolecules, and polymers. This review summarizes recent advances in nanostructured substrates, introduces SEIRA mechanisms, and discusses preparation methods of representative SEIRA-active substrates, as well as current deficiencies and prospects in the field.
Surface-enhanced infrared absorption (SEIRA) spectroscopy is an emerging research field that has received much attention from the research community. Unlike conventional infrared absorption spectroscopy, SEIRA spectroscopy is a surface sensitive technique that exploits the electromagnetic properties of nanostructured substrates to amplify the vibrational signals of adsorbed molecules. Unique advantages like high sensitivity, wide adaptability, and convenient operation allow SEIRA spectroscopy to be applied in qualitative and quantitative analyses for traces of gases, biomolecules, polymers, and so on. In this review, we summarize recent advances in nanostructured substrates for SEIRA spectroscopy, including the developing history and widely accepted SEIRA mechanisms of SEIRA spectroscopy. Most importantly, characteristics and preparation methods of representative SEIRA-active substrates are introduced. In addition, current deficiencies and prospects in the field of SEIRA spectroscopy are discussed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据