克服在临床和生物医学应用中部署等离子体生物传感器所面临的挑战:系统回顾与荟萃分析

IF 5.4 Q1 CHEMISTRY, ANALYTICAL
Patricia Ramirez-Priego , Elba Mauriz , Juliana Fátima Giarola , Laura M. Lechuga
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引用次数: 0

摘要

近几十年来,等离子体生物传感器已成为评估生物分子相互作用的最强大分析工具之一。这项极具影响力的分析技术已在临床诊断、生物技术、药物评估、疾病预防等多个领域证明了其价值。此外,技术的进步也促进了微型化等离子体生物传感平台的发展,这些平台体积小、便于携带,可用于护理点(POC)应用。本综述概述了最近实施的 POC 等离子体生物传感器及其在临床和生物医学分析中的应用。我们在 PubMed、Scopus 和 Web of Science 数据库中对 2018 年 1 月 1 日至 2023 年 11 月 30 日期间的出版物进行了系统而深入的文献检索。由于缺乏在复杂基质中的实际应用或分析信息不足,我们排除了许多出版物。通过 QUADAS-2 对每项研究的质量进行了方法学评估,并使用 Cochrane RevMan 软件进行了荟萃分析。从 1177 篇全文评估文章中筛选出 27 篇研究文章。汇总灵敏度为 4.36(95%,CI 0.19-5.97,I2 = 83%)。根据等离子体传感器类型进行的亚组分析显示,诊断几率比最佳,异质性最低:3.81(95% CI 0.39-39.08;I2 = 33%,P = 0.22)。这些研究结果表明,尽管等离子体生物传感器利用了其微型化的优势,并在便携式 POC 设备中显示出良好的效果,但将其用作常规诊断工具仍存在重大障碍。估计测试的准确性有助于缩小受控实验室条件与实际临床决策环境之间的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Overcoming challenges in plasmonic biosensors deployment for clinical and biomedical applications: A systematic review and meta-analysis

Overcoming challenges in plasmonic biosensors deployment for clinical and biomedical applications: A systematic review and meta-analysis
Over recent decades, plasmonic biosensors have positioned themselves as one of the most powerful analytical tools for evaluating biomolecular interactions. This impactful analytical technology has demonstrated its value in diverse fields such as clinical diagnostics, biotechnology, pharmaceutical evaluation, disease prevention, among others. Moreover, technological advances have led to the development of miniaturized plasmonic biosensing platforms, which are small and portable for point-of-care (POC) applications. This review presents an overview of recently implemented POC-plasmonic biosensors and their use for clinical and biomedical analysis. A systematic and deep literature search in PubMed, Scopus, and Web of Science databases was performed in publications between 1 January 2018 and 30 November 2023. We excluded many publications due to the absence of real application in complex matrices or insufficient analytical information. The quality of each study was evaluated methodologically by QUADAS-2, and a meta-analysis was performed using the Cochrane RevMan software. From 1177 full-text assessments, 27 research articles were selected. The pooled sensitivity was 4.36 (95%, CI 0.19–5.97, I2 = 83%). The subgroup analysis according to the plasmonic sensors type revealed the best diagnostic odds ratio with the lowest heterogeneity: 3.81 (95% CI 0.39–39.08; I2 = 33%, p = 0.22). These findings indicate that despite plasmonic biosensors taking advantage of their miniaturization and showing promising results in portable POC devices, there are still significant obstacles to using them as routine diagnostic tools. Estimating test accuracy may help to reduce the gap between controlled laboratory conditions and real-world clinical decision-making environments.
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来源期刊
Sensing and Bio-Sensing Research
Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering
CiteScore
10.70
自引率
3.80%
发文量
68
审稿时长
87 days
期刊介绍: Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies. The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.
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