An outbreak of COVID-19, caused by infection with SARS-CoV-2 in Wuhan, China in December 2019, spread throughout the country and around the world, quickly. The primary detection technique for SARS-CoV-2, the reverse-transcription polymerase chain reaction (RT-PCR)–based approach, requires expensive reagents and equipment and skilled personnel. In addition, for SARS-CoV-2 detection, specimens are usually shipped to a designated laboratory for testing, which may extend the diagnosis and treatment time of patients with COVID-19. The latest research shows that clustered regularly interspaced short palindromic repeats (CRISPR)–based approaches can quickly provide visual, rapid, ultrasensitive, and specific detection of SARS-CoV-2 at isothermal conditions. Therefore, CRISPR-based approaches are expected to be developed as attractive alternatives to conventional RT-PCR methods for the efficient and accurate detection of SARS-CoV-2. Recent advances in the field of CRISPR-based biosensing technologies for SARS-CoV-2 detection and insights into their potential use in many applications are reviewed in this article.
Abstract:In the CPC eighteenth conference, Xi Jinping, the general secretary of the Central Committee has proposed a series of important hing water control thought as the instruction, to implement the spirit of the Central Document No. 1, the central work conference on water resources and the State Council document No. 3, according to the national water resources monitoring capacity building projects in the central platform of business application system trial operation management, this present paper by using large data theory and the system theory has conducted research on water resource management method, making comprehensive analysis in view of the present situation and problems of the construction of the national water resources monitoring ability, and promote the central platform to better support the most strict water resources management system of "three red lines" in the supervision, management and assessment.
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