碳基生物传感器:新一代特异性检测新冠病毒(COVID-19)的诊断工具

IF 4.1 Q1 CHEMISTRY, ANALYTICAL
Shivam Mishra , Bari Aamna , Sagarika Parida , Aritra Kumar Dan
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引用次数: 0

摘要

2020年,严重急性呼吸综合征-冠状病毒2 (SARS-CoV-2)被宣布为全球大流行。随着新变种的出现,该病在全球迅速传播,迫切需要开发诊断试剂盒以快速检测该病。由于验证了准确性和可靠性,逆转录聚合酶链反应(RT-PCR)检测已被宣布为疾病检测的金标准。然而,尽管其可靠性,但对专用设施、试剂和PCR运行时间的要求限制了其用于快速检测。因此,快速、即时护理(PoC)和具有成本效益的诊断试剂盒的设计和开发不断增加。在这篇综述中,我们讨论了碳基生物传感器在冠状病毒病19 (COVID-19)靶向特异性检测中的潜力,并概述了过去四年(2019-2022)内的研究进展,这些研究已经开发了基于碳纳米材料的病毒检测方法的新平台。所讨论的方法为卫生保健人员和研究人员提供了快速、准确和具有成本效益的COVID-19检测策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Carbon-based biosensors: Next-generation diagnostic tool for target-specific detection of SARS-CoV-2 (COVID-19)

Carbon-based biosensors: Next-generation diagnostic tool for target-specific detection of SARS-CoV-2 (COVID-19)

Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) was declared a global pandemic in 2020. Having rapidly spread around the globe, with the emergence of new variants, there is a crucial need to develop diagnostic kits for its rapid detection. Since it validated accuracy and reliability, the reverse transcription polymerase chain reaction (RT-PCR) test has been declared the gold standard for disease detection. However, despite its reliability, the requirement of specialized facilities, reagents, and duration of a PCR run limits its usage for rapid detection. There is thus a continuous increase in the design and development of rapid, point-of-care (PoC), and cost-effective diagnostic kits. In this review, we discuss the potential of carbon-based biosensors for target-specific detection of coronavirus disease 19 (COVID-19) and present an overview of investigation within the timeframe of the last four years (2019–2022), which have developed novel platforms using carbon nanomaterial-based approaches for viral detection. The approaches discussed offer rapid, accurate, and cost-effective strategies for COVID-19 detection for healthcare personnel and research workers.

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来源期刊
Talanta Open
Talanta Open Chemistry-Analytical Chemistry
CiteScore
5.20
自引率
0.00%
发文量
86
审稿时长
49 days
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