Suppr超能文献

基于不同黄酮类化合物还原制备的银纳米粒子的表面增强拉曼散射研究:黄酮类化合物的作用是什么?

SERS study of riboflavin on green-synthesized silver nanoparticles prepared by reduction using different flavonoids: What is the role of flavonoid used?

机构信息

Department of Analytical Chemistry, University of Chemistry and Technology Prague, Technická 5, Prague, Czech Republic.

Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Technická 5, Prague, Czech Republic.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2018 Apr 15;195:236-245. doi: 10.1016/j.saa.2018.01.083. Epub 2018 Feb 2.

Abstract

Spectroscopy of surface-enhanced Raman scattering (SERS) is nowadays widely used in the field of bio-science and medicine. These applications require new enhancing substrates with special properties. They should be non-toxic, environmentally friendly and (bio-) compatible with examined samples. Flavonoids are natural antioxidants with many positive effects on human health. Simultaneously, they can be used as reducing agent in preparation procedure of plasmonic enhancing substrate for SERS spectroscopy. The best amplifiers of Raman vibrational spectroscopic signal are generally silver nanoparticles (AgNPs). In this study, several flavonoids (forming a logical set) were used as reducing agent in AgNPs preparation procedures. Reactivity of 10 structurally arranged flavonoids (namely flavone, chrysin, apigenin, luteolin, tricetin, 3-hydroxyflavone, galangin, kaempferol, quercetin and myricetin) was compared and SERS-activity of prepared AgNPs was tested using model analyte riboflavin. Riboflavin was detected down to concentration 10mol/l.

摘要

目前,表面增强拉曼散射(SERS)的光谱学在生物科学和医学领域得到了广泛应用。这些应用需要具有特殊性能的新型增强衬底。它们应该是无毒的、环保的,并且与被检测的样品具有生物兼容性。类黄酮是天然抗氧化剂,对人类健康有许多积极影响。同时,它们可以用作制备等离子体增强衬底用于 SERS 光谱学的还原剂。一般来说,银纳米粒子(AgNPs)是拉曼振动光谱信号的最佳放大器。在这项研究中,几种类黄酮(形成一个逻辑集合)被用作 AgNPs 制备过程中的还原剂。比较了 10 种结构排列的类黄酮(即黄酮、白杨素、芹菜素、木犀草素、三叶草素、3-羟基黄酮、姜黄素、山奈酚、槲皮素和杨梅素)的反应性,并使用模型分析物核黄素测试了所制备的 AgNPs 的 SERS 活性。核黄素的检测下限低至 10mol/l。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验