Fan Tuocen, Li Chengjie, Liu Xinlei, Xu Hongda, Li Wenhao, Wang Minghao, Mei Xifan, Li Dan
Jinzhou Medical University, Jinzhou, 121000, China.
College of Pharmacy, Jinzhou Medical University, Jinzhou, 121000, China.
Anal Sci. 2023 Nov;39(11):1839-1856. doi: 10.1007/s44211-023-00396-4. Epub 2023 Jul 30.
Countless individuals have fallen victim to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and have generated antibodies, reducing the risk of secondary infection in the short term. However, with the emergence of mutated strains, the probability of subsequent infections remains high. Consequently, the demand for simple and accessible methods for distinguishing between different variants is soaring. Although monitoring viral gene sequencing is an effective approach for differentiating between various types of SARS-CoV-2 variants, it may not be easily accessible to the general public. In this article, we provide an overview of the reported techniques that use combined approaches and adaptable testing methods that use editable recognition receptors for simultaneous detection and distinction of current and emerging SARS-CoV-2 variants. These techniques employ straightforward detection strategies, including tests capable of simultaneously identifying and differentiating between different variants. Furthermore, we recommend advancing the development of uncomplicated protocols for distinguishing between current and emerging variants. Additionally, we propose further development of facile protocols for the differentiation of existing and emerging variants.
无数人已成为严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的受害者，并产生了抗体，在短期内降低了二次感染的风险。然而，随着变异毒株的出现，后续感染的可能性仍然很高。因此，对简单易行的区分不同变体方法的需求激增。虽然监测病毒基因测序是区分各种SARS-CoV-2变体的有效方法，但普通公众可能不易获得。在本文中，我们概述了所报道的使用联合方法的技术以及使用可编辑识别受体同时检测和区分当前及新出现的SARS-CoV-2变体的适应性测试方法。这些技术采用简单的检测策略，包括能够同时识别和区分不同变体的测试。此外，我们建议推进开发用于区分当前和新出现变体的简单方案。此外，我们提议进一步开发用于区分现有和新出现变体的简便方案。
