Current trends and new methods of detection of SARS-CoV-۲ infection

Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 223

This Paper With 13 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_CMBR-2-3_002

تاریخ نمایه سازی: 11 مرداد 1401

Abstract:

SARS-CoV- ۲ is the causative agent of the global pandemic, also known as Covid-۱۹. This virus belongs to a group of coronaviruses and has affected more than ten million people across the globe, causing nearly half a million deaths worldwide. The pandemic has spread worldwide, originating in the Wuhan Hubei province of China in ۲۰۱۹. The disease is a significant challenge as there is no antiviral treatment. This review will address current trends and emerging new methods for detecting SARS-CoV-۲ in the laboratoryat present. Reverse transcriptase PCR or RT-PCR is the gold standard for detecting SARS-CoV-۲ disease. The seroprevalence of Covid-۱۹ is performed using antibody detection tests using ELISA and antigen detection as rapid tests. In clinical practice, preliminary disease identification is made based on Chest radiographs, computed tomography, and positron emission tomography (PET) scans. As the pandemic has progressed, newer methods of detection like CRISPR, nanotechnology-enabled solutions, and biosensors have emerged as new methods of detecting SARS-CoV-۲.  

Authors

Mohammad Mohammadi

Department of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran

Amir Omidi

Department of Epidemiology and Biostatics, Research Centre for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran

Hoda Sabati

Biotechnology and Biological Science Research Center, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :