使用 TMB/Au 纳米标签和 Au@2D-MoS2 改良丝网印刷电极的电化学/SERS 双模免疫传感器,用于灵敏检测前列腺癌生物标记物

IF 5.4 2区 医学 Q1 BIOPHYSICS Colloids and Surfaces B: Biointerfaces Pub Date : 2024-07-25 DOI:10.1016/j.colsurfb.2024.114124
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引用次数: 0

摘要

本研究介绍了一种新型双模式免疫传感器,它结合了电化学(EC)和表面增强拉曼散射(SERS)技术,用于检测与前列腺癌相关的生物标记物--前列腺特异性抗原(PSA)。该传感器由沉积在丝网印刷电极(SPE)工作碳电极上的二维二硫化钼(Au@MoS2)上的金纳米颗粒(AuNPs)纳米复合材料组成。随后,将一抗(Ab1)固定在改性电极上,形成 Ab1/Au@MoS2/SPE 用于特异性识别目标 PSA。同时,AuNPs 与第二抗体(Ab2)和探针分子 3,3′,5,5′-四甲基联苯胺(TMB)共轭,形成纳米标签(TMB/Ab2/AuNPs),表现出强烈的 SERS 和 EC 反应。目标物存在时,可通过抗原-抗体相互作用(Ab1-PSA-Ab2)形成夹心免疫复合物。电子显微镜检测模式采用微分脉冲伏安法(DPV)技术,而手持式拉曼光谱仪则使用 785 纳米激发激光来收集 SERS 信号。所开发的系统具有出色的选择性和灵敏度,EC 和 SERS 检测的检出限(LOD)分别为 3.58 pg mL-1 和 4.83 pg mL-1。重要的是,该双模式免疫传感器能有效定量人血清样本中的 PSA 蛋白,且回收率高。鉴于其高灵敏度和分析生物样本的能力,这种拟议的免疫传感器有望成为癌症早期诊断的替代工具。
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An electrochemical/SERS dual-mode immunosensor using TMB/Au nanotag and Au@2D-MoS2 modified screen-printed electrode for sensitive detection of prostate cancer biomarker

This study describes a novel dual-mode immunosensor that combines electrochemical (EC) and surface-enhanced Raman scattering (SERS) techniques for the detection of prostate-specific antigen (PSA), a biomarker associated with prostate cancer. The sensor consists of a nanocomposite of gold nanoparticles (AuNPs) deposited on two-dimensional (2D) molybdenum disulfide (Au@MoS2) modified on a working carbon electrode of a screen-printed electrode (SPE). Subsequently, the primary antibody (Ab1) is immobilized on the modified electrode, creating Ab1/Au@MoS2/SPE for specific recognition of the target PSA. In parallel, AuNPs are conjugated with a secondary antibody (Ab2) and a probe molecule, 3,3′,5,5′-tetramethylbenzidine (TMB), leading nanotags (TMB/Ab2/AuNPs) formation exhibiting strong SERS and EC responses. Upon the presence of the target, sandwich immunocomplexes can be formed through antigen-antibody interactions (Ab1-PSA-Ab2). The differential pulse voltammetry (DPV) technique is employed for EC detection mode, while a handheld Raman spectrometer with a 785 nm excitation laser is utilized to collect SERS signals. The developed system demonstrates excellent selectivity and sensitivity, with low limits of detection (LODs) of 3.58 pg mL−1 and 4.83 pg mL−1 for EC and SERS sensing, respectively. Importantly, the dual-mode immunosensor proves effective quantifying PSA protein in human serum samples with good recovery. Given its high sensitivity and proficiency in analyzing biological samples, this proposed immunosensor holds promise as an alternative tool for the early diagnosis of cancers.

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来源期刊
Colloids and Surfaces B: Biointerfaces
Colloids and Surfaces B: Biointerfaces 生物-材料科学:生物材料
CiteScore
11.10
自引率
3.40%
发文量
730
审稿时长
42 days
期刊介绍: Colloids and Surfaces B: Biointerfaces is an international journal devoted to fundamental and applied research on colloid and interfacial phenomena in relation to systems of biological origin, having particular relevance to the medical, pharmaceutical, biotechnological, food and cosmetic fields. Submissions that: (1) deal solely with biological phenomena and do not describe the physico-chemical or colloid-chemical background and/or mechanism of the phenomena, and (2) deal solely with colloid/interfacial phenomena and do not have appropriate biological content or relevance, are outside the scope of the journal and will not be considered for publication. The journal publishes regular research papers, reviews, short communications and invited perspective articles, called BioInterface Perspectives. The BioInterface Perspective provide researchers the opportunity to review their own work, as well as provide insight into the work of others that inspired and influenced the author. Regular articles should have a maximum total length of 6,000 words. In addition, a (combined) maximum of 8 normal-sized figures and/or tables is allowed (so for instance 3 tables and 5 figures). For multiple-panel figures each set of two panels equates to one figure. Short communications should not exceed half of the above. It is required to give on the article cover page a short statistical summary of the article listing the total number of words and tables/figures.
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