A colorimetric and SERS-based LFIA for sensitive and simultaneous detection of three stroke biomarkers: An ultra-fast and sensitive point-of-care testing platform

IF 8.3 2区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

ACS Applied Materials & Interfaces Pub Date : 2024-11-06 DOI:10.1016/j.talanta.2024.127166

Yutong Wang , Qianchun Zhang , Mengping Huang , Ganggang Ai , Xiaofeng Liu , Yuqi Zhang , Ran Li , Jie Wu

{"title":"A colorimetric and SERS-based LFIA for sensitive and simultaneous detection of three stroke biomarkers: An ultra-fast and sensitive point-of-care testing platform","authors":"Yutong Wang , Qianchun Zhang , Mengping Huang , Ganggang Ai , Xiaofeng Liu , Yuqi Zhang , Ran Li , Jie Wu","doi":"10.1016/j.talanta.2024.127166","DOIUrl":null,"url":null,"abstract":"<div><div>Stroke ranks as the second leading cause of disability and mortality globally. Biomarker detection represents a promising avenue for predicting disease severity and prognosis. The expression levels of metalloproteinase-9 (MMP-9), neuron-specific enolase (NSE), and N-terminal pro-brain natriuretic peptide (NT-pro BNP) in blood correlate with stroke severity. Hence, monitoring these biomarkers is crucial for stroke diagnosis and management. Point-of-care testing (POCT) offers on-site diagnostic capabilities, with lateral flow immunoassay (LFIA) being the most widely used method currently. However, traditional LFIA sensitivity requires enhancement. This study introduces an ultra-sensitive surface-enhanced Raman scattering-based lateral flow immunoassay (SERS-based LFIA) strip for simultaneous detection of the three stroke biomarkers using SERS immune tags. Bimetallic core-shell structured SERS immune tags leverage the advantages of two metals, ensuring stability and enhancing Raman signals through plasmon resonance. This development of a POCT based on SERS-based LFIA strips offers rapid, sensitive, and multiplex detection of stroke biomarkers. The limits of detection (LODs) for MMP-9, NSE, and NT-pro BNP were 0.00020 ng mL<sup>−1</sup>, 0.00016 ng mL<sup>−1</sup>, and 0.00012 ng mL<sup>−1</sup>, respectively. Furthermore, enzyme-linked immunosorbent assay (ELISA) validated the accuracy of SERS-based LFIA. Clinical sample analysis demonstrated consistency between outcomes obtained by SERS-based LFIA and ELISA. Thus, SERS-based LFIA presents a novel POCT approach for stroke diagnosis.</div></div>","PeriodicalId":5,"journal":{"name":"ACS Applied Materials & Interfaces","volume":null,"pages":null},"PeriodicalIF":8.3000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Materials & Interfaces","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0039914024015455","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

Stroke ranks as the second leading cause of disability and mortality globally. Biomarker detection represents a promising avenue for predicting disease severity and prognosis. The expression levels of metalloproteinase-9 (MMP-9), neuron-specific enolase (NSE), and N-terminal pro-brain natriuretic peptide (NT-pro BNP) in blood correlate with stroke severity. Hence, monitoring these biomarkers is crucial for stroke diagnosis and management. Point-of-care testing (POCT) offers on-site diagnostic capabilities, with lateral flow immunoassay (LFIA) being the most widely used method currently. However, traditional LFIA sensitivity requires enhancement. This study introduces an ultra-sensitive surface-enhanced Raman scattering-based lateral flow immunoassay (SERS-based LFIA) strip for simultaneous detection of the three stroke biomarkers using SERS immune tags. Bimetallic core-shell structured SERS immune tags leverage the advantages of two metals, ensuring stability and enhancing Raman signals through plasmon resonance. This development of a POCT based on SERS-based LFIA strips offers rapid, sensitive, and multiplex detection of stroke biomarkers. The limits of detection (LODs) for MMP-9, NSE, and NT-pro BNP were 0.00020 ng mL⁻¹, 0.00016 ng mL⁻¹, and 0.00012 ng mL⁻¹, respectively. Furthermore, enzyme-linked immunosorbent assay (ELISA) validated the accuracy of SERS-based LFIA. Clinical sample analysis demonstrated consistency between outcomes obtained by SERS-based LFIA and ELISA. Thus, SERS-based LFIA presents a novel POCT approach for stroke diagnosis.

Abstract Image

查看原文本刊更多论文

基于比色法和 SERS 的 LFIA，可同时灵敏检测三种中风生物标记物：超快速、灵敏的护理点检测平台

中风是全球第二大致残和致死原因。生物标志物检测是预测疾病严重程度和预后的一个有前途的途径。血液中金属蛋白酶-9 (MMP-9)、神经元特异性烯醇化酶 (NSE) 和 N 端脑钠肽 (NT-pro BNP) 的表达水平与中风的严重程度相关。因此，监测这些生物标志物对中风的诊断和管理至关重要。床旁检测（POCT）提供了现场诊断能力，其中侧流免疫分析（LFIA）是目前应用最广泛的方法。然而，传统的侧流免疫分析法灵敏度有待提高。本研究介绍了一种超灵敏的基于表面增强拉曼散射的侧流免疫分析（SERS-based LFIA）条，利用 SERS 免疫标记同时检测三种中风生物标记物。双金属核壳结构的 SERS 免疫标记利用了两种金属的优势，确保了稳定性，并通过等离子体共振增强了拉曼信号。这种基于 SERS 的 LFIA 试剂条开发的 POCT 能快速、灵敏、多重地检测中风生物标记物。MMP-9、NSE和NT-pro BNP的检测限（LOD）分别为0.00020 ng mL-1、0.00016 ng mL-1和0.00012 ng mL-1。此外，酶联免疫吸附试验（ELISA）验证了基于 SERS 的 LFIA 的准确性。临床样本分析表明，基于 SERS 的 LFIA 和 ELISA 得出的结果是一致的。因此，基于 SERS 的 LFIA 为中风诊断提供了一种新型的 POCT 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。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACS Applied Materials & Interfaces 工程技术-材料科学：综合

CiteScore

16.00

自引率

6.30%

发文量

4978

审稿时长

1.8 months

期刊介绍： ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.