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用于早期中风检测的生物传感器。

Biosensors for early stroke detection.

作者信息

Alavian Firoozeh, Khodabakhshi Fatemeh, Chenary Fatemeh Heidary

机构信息

Department of Biology Education, Farhangian University, PO Box 889-14665, Tehran, Iran.

Biology Secretary, Laran Region, Shahrekord, Chaharmahal and Bakhtiari Province, Iran.

出版信息

Clin Chim Acta. 2025 Feb 1;567:120079. doi: 10.1016/j.cca.2024.120079. Epub 2024 Dec 4.

DOI:10.1016/j.cca.2024.120079
PMID:39643153
Abstract

This article aims to provide a comprehensive review of the latest advances in biosensor technology for early stroke diagnosis. Analyzing current research from authoritative databases highlights the significance of biosensors in improving stroke detection and treatment outcomes, discusses their diagnostic capabilities, and addresses the challenges that must be overcome for broader clinical application. This review utilizes updated information and valid research from ISI, Google Scholar, Science Direct, Scopus, and PubMed to examine recent developments in biosensors applicable to early stroke diagnosis. The results indicate that biosensors are crucial for the early detection of strokes, and enhance treatment efficacy. The biosensors studied in this research serve as rapid and non-intrusive diagnostic instruments with exceptional precision and detection capabilities. Cutting-edge biosensors can identify distinct stroke-related biomarkers, offering rapid and non-invasive diagnostic solutions to improve stroke care outcomes. Despite these advancements, significant challenges remain regarding the sensitivity, specificity, and reliability of biosensors. These issues must be resolved to facilitate their widespread implementation in clinical settings.

摘要

本文旨在全面综述用于早期中风诊断的生物传感器技术的最新进展。分析权威数据库中的当前研究突出了生物传感器在改善中风检测和治疗结果方面的重要性,讨论了它们的诊断能力,并阐述了为实现更广泛的临床应用必须克服的挑战。本综述利用来自ISI、谷歌学术、科学Direct、Scopus和PubMed的最新信息和有效研究,来审视适用于早期中风诊断的生物传感器的近期发展。结果表明,生物传感器对于中风的早期检测至关重要,并能提高治疗效果。本研究中所探讨的生物传感器可作为快速且非侵入性的诊断工具,具有卓越的精度和检测能力。前沿的生物传感器能够识别不同的中风相关生物标志物,提供快速且非侵入性的诊断解决方案,以改善中风护理结果。尽管有这些进展,但生物传感器在灵敏度、特异性和可靠性方面仍存在重大挑战。必须解决这些问题,以促进其在临床环境中的广泛应用。

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