Surface‐enhanced Raman spectroscopy combined with multivariate analysis for the detection and differentiation of dopamine and DOPAC in cerebrospinal fluid

Author:

Pimiento Paula A.1,Dunn Natalie E.1,Sharma Bhavya1ORCID

Affiliation:

1. Department of Chemistry University of Tennessee Knoxville Tennessee USA

Abstract

AbstractDopamine (DA) is a vital neurotransmitter for brain functions, including pleasure, memory, motivation, and movement control. Dopaminergic neuron degradation is correlated to neurological disorders such as Parkinson's disease, and changes in DA concentration are related to mental health disorders. Currently, the gold standard for monitoring DA concentrations in the brain is electrochemistry. However, although electrochemistry has high sensitivity, it has low specificity for molecules with similar molecular structures, such as DA and its metabolites. Here, we demonstrate that surface‐enhanced Raman spectroscopy (SERS), a vibrational spectroscopy that provides molecule‐specific information with excellent sensitivity, requires small sample sizes/volumes, and is non‐destructive, is optimal for the detection and differentiation of DA and its metabolites. We show that SERS combined with multivariate analysis allows for the detection and differentiation of DA and its metabolites, including 3‐O‐methyldopamine (3‐OMD), homovanillic acid (HVA), 3,4‐dihydroxyphenylacetic acid (DOPAC), and 3‐methoxytyramine (3‐MT) at physiologically relevant concentrations in artificial cerebrospinal fluid (aCSF).

Funder

University of Tennessee, Knoxville

Publisher

Wiley

Subject

Spectroscopy,General Materials Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3