Exosomal membrane proteins analysis using a silicon nanowire field effect transistor biosensor

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2024-07-10 DOI:10.1016/j.talanta.2024.126534
Meiyan Qin , Jiawei Hu , Xue Li , Jinlong Liu , Rui Jiang , Yimin Shi , Zizhen Wang , Lingqian Zhang , Yang Zhao , Hang Gao , Qingzhu Zhang , Haiping Zhao , Mingxiao Li , Chengjun Huang
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Abstract

Exosomes are of great significance in clinical diagnosis, due to their high homology with parental generation, which can reflect the pathophysiological status. However, the quantitative and classification detection of exosomes is still faced with the challenges of low sensitivity and complex operation. In this study, we develop an electrical and label-free method to directly detect exosomes with high sensitivity based on a Silicon nanowire field effect transistor biosensor (Si-NW Bio-FET). First, the impact of Debye length on Si-NW Bio-FET detection was investigated through simulation. The simulation results demonstrated that as the Debye length increased, the electrical response to Si-NW produced by charged particle at a certain distance from the surface of Si-NW was greater. A Si-NW Bio-FET modified with specific antibody CD81 on the nanowire was fabricated then used for detection of cell line-derived exosomes, which achieved a low limit of detection (LOD) of 1078 particles/mL in 0.01 × PBS. Furthermore, the Si-NW Bio-FETs modified with specific antibody CD9, CD81 and CD63 respectively, were employed to distinguish exosomes derived from human promyelocytic leukemia (HL-60) cell line in three different states (control group, lipopolysaccharide (LPS) inflammation group, and LPS + Romidepsin (FK228) drug treatment group), which was consistent with nano-flow cytometry. This study provides a highly sensitive method of directly quantifying exosomes without labeling, indicating its potential as a tool for disease surveillance and medication instruction.

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利用硅纳米线场效应晶体管生物传感器分析外泌体膜蛋白。
外泌体与亲代具有高度同源性,可以反映病理生理状态,因此在临床诊断中具有重要意义。然而,外泌体的定量和分类检测仍面临灵敏度低、操作复杂等难题。在本研究中,我们基于硅纳米线场效应晶体管生物传感器(Si-NW Bio-FET),开发了一种直接检测外泌体的高灵敏度无标记电学方法。首先,通过仿真研究了德拜长度对 Si-NW Bio-FET 检测的影响。仿真结果表明,随着德拜长度的增加,在距离 Si-NW 表面一定距离处的带电粒子对 Si-NW 产生的电响应更大。制备出的 Si-NW 生物场效应晶体管在纳米线上修饰了特异性抗体 CD81,然后用于检测细胞系衍生的外泌体,在 0.01 × PBS 中达到了 1078 粒子/毫升的低检测限(LOD)。此外,用分别修饰了特异性抗体 CD9、CD81 和 CD63 的 Si-NW 生物场效应晶体管区分了三种不同状态(对照组、脂多糖(LPS)炎症组和 LPS + 罗米地辛(FK228)药物治疗组)的人类早幼粒细胞白血病(HL-60)细胞系衍生的外泌体,这与纳米流式细胞术一致。这项研究提供了一种无需标记即可直接量化外泌体的高灵敏度方法,显示了其作为疾病监测和用药指导工具的潜力。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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