Surface-enhanced Raman scattering for the detection of biomarkers of neurodegenerative diseases: A review

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry Pub Date : 2025-02-03 DOI:10.1016/j.trac.2025.118173

Chentao Li , Yinglin Wang , Yafang Wu , Ying Yu , Yali Liu , Qing Liu

{"title":"Surface-enhanced Raman scattering for the detection of biomarkers of neurodegenerative diseases: A review","authors":"Chentao Li , Yinglin Wang , Yafang Wu , Ying Yu , Yali Liu , Qing Liu","doi":"10.1016/j.trac.2025.118173","DOIUrl":null,"url":null,"abstract":"<div><div>Neurodegenerative diseases (NDs) have a significant impact on human health. Biomarkers have always been a useful biochemical indicator for making diagnoses. Multiple biomarkers such as amyloid-β (Aβ), tubulin-associated unit (Tau), α-synuclein (α-syn), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) have been proven to be related to NDs. Surface-enhanced Raman scattering (SERS), due to its unique advantages, is regarded as an effective method for detecting biomarkers. Therefore, the purpose of this review is to evaluate the progress of SERS-based sensors in detecting biomarkers of NDs. In this article, the basic information of SERS and different protein biomarkers are first introduced. At the same time, it elaborates in detail the development of SERS in detecting protein biomarkers and machine learning (ML)-assisted detection. Finally, based on the current status of SERS detection, the problems that need to be solved at present and the future development directions were discussed.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"185 ","pages":"Article 118173"},"PeriodicalIF":11.8000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016599362500041X","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Neurodegenerative diseases (NDs) have a significant impact on human health. Biomarkers have always been a useful biochemical indicator for making diagnoses. Multiple biomarkers such as amyloid-β (Aβ), tubulin-associated unit (Tau), α-synuclein (α-syn), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) have been proven to be related to NDs. Surface-enhanced Raman scattering (SERS), due to its unique advantages, is regarded as an effective method for detecting biomarkers. Therefore, the purpose of this review is to evaluate the progress of SERS-based sensors in detecting biomarkers of NDs. In this article, the basic information of SERS and different protein biomarkers are first introduced. At the same time, it elaborates in detail the development of SERS in detecting protein biomarkers and machine learning (ML)-assisted detection. Finally, based on the current status of SERS detection, the problems that need to be solved at present and the future development directions were discussed.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Trends in Analytical Chemistry 化学-分析化学

CiteScore

20.00

自引率

4.60%

发文量

257

审稿时长

3.4 months

期刊介绍： TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.