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首页> 外文期刊>Biophysical Chemistry: An International Journal Devoted to the Physical Chemistry of Biological Phenomena >Recent trends in analytical and digital techniques for the detection of the SARS-Cov-2
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Recent trends in analytical and digital techniques for the detection of the SARS-Cov-2

机译:用于检测SARS-COV-2的分析和数字技术的最新趋势

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摘要

The current global outbreak of COVID-19 due to SARS-CoV-2 is an unprecedented humanitarian crisis. Considering the gravity of its impact there is an immediate need to develop a detection technique that is sensitive, specific, fast, and affordable for the clinical diagnosis of the disease. Real time Polymerase Chain Reaction (RT-PCR)-based detection platforms are contemplated to be the gold standard to detect viral RNA. However, that may be susceptible to errors, and there is a risk of obtaining false results, which ultimately compromises the strategy of efficient disease management. Several modern techniques exhibiting assured results with enhanced sensitivity and specificity against the SARS-CoV-2 associated viral components or immune response against it have been developed and may be implemented. The review deals with the conventional RT-PCR detection techniques and compares them to other detection platforms viz., biosensor based detection of antigens, fluorescent or colorimetric detection systems including CRISPR-Cas 13 based SHERLOCK kit, CRISPR Cas-9 based FELUDA test kit, CRISPR DETECTR kit, Next Generation Sequencing or microarray-based kits. These modern techniques are great as a point of care detection methods but should be followed by RT PCR based detection for the confirmation of COVID-19 status.
机译:由于SARS-COV-2导致的Covid-19目前的全球爆发是一个前所未有的人道主义危机。考虑到其影响的严重性,立即需要开发一种敏感,特异性,快速,并且可用于疾病的临床诊断的检测技术。基于实时聚合酶链反应(RT-PCR)的检测平台被预期是检测病毒RNA的金标准。然而,这可能易受错误,并且存在获得错误结果的风险,这最终损害了有效疾病管理的策略。已经开发了几种具有增强敏感性和对SARS-COV-2相关病毒组分或免疫应答的有保证结果的现代技术,并且可以实施。审查涉及常规的RT-PCR检测技术,并将其与其他检测平台进行比较,基于抗原的生物传感器检测,包括CRISPR-CA3的Sherlock套件,Crisp Cas-9基于Feluda测试套件, CRISPR差异试剂盒,下一代测序或基于微阵列的试剂盒。这些现代技术很好作为护理点检测方法,但应跟踪基于RT PCR的检测,用于确认Covid-19状态。

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