{"title":"Potential Diagnostic Systems for Coronavirus Detection: a Critical Review.","authors":"Elena Ekrami, Mahdi Pouresmaieli, Fatemeh Barati, Sahar Asghari, Farzad Ramezani Ziarani, Parvin Shariati, Matin Mamoudifard","doi":"10.1186/s12575-020-00134-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Currently there are no effective anti-viral drugs for SARS-CoV-2, so the primary line of defense is to detect infected cases as soon as possible. The high rate of contagion for this virus and the highly nonspecific symptoms of the disease (Coronovirus disease 2019, (Covid-19)) that it causes, such as respiratory symptoms, cough, dyspnea, fever, and viral pneumonia, require the urgent establishment of precise and fast diagnostic tests to verify suspected cases, screen patients, and conduct virus surveillance. Nowadays, several virus detection methods are available for viral diseases, which act on specific properties of each virus or virus family, therefore, further investigations and trials are needed to find a highly efficient and accurate detection method to detect and prevent the outcomes of the disease. Hence, there is an urgent need for more and precise studies in this field. In this review, we discussed the properties of a new generation of coronaviruses (SARS-CoV-2) following routine virus detection methods and proposed new strategies and the use of potential samples for SARS-CoV-2 detection.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":8960,"journal":{"name":"Biological Procedures Online","volume":"22 ","pages":"21"},"PeriodicalIF":3.7000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s12575-020-00134-4","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Procedures Online","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12575-020-00134-4","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 12
Abstract
Abstract: Currently there are no effective anti-viral drugs for SARS-CoV-2, so the primary line of defense is to detect infected cases as soon as possible. The high rate of contagion for this virus and the highly nonspecific symptoms of the disease (Coronovirus disease 2019, (Covid-19)) that it causes, such as respiratory symptoms, cough, dyspnea, fever, and viral pneumonia, require the urgent establishment of precise and fast diagnostic tests to verify suspected cases, screen patients, and conduct virus surveillance. Nowadays, several virus detection methods are available for viral diseases, which act on specific properties of each virus or virus family, therefore, further investigations and trials are needed to find a highly efficient and accurate detection method to detect and prevent the outcomes of the disease. Hence, there is an urgent need for more and precise studies in this field. In this review, we discussed the properties of a new generation of coronaviruses (SARS-CoV-2) following routine virus detection methods and proposed new strategies and the use of potential samples for SARS-CoV-2 detection.
期刊介绍:
iological Procedures Online publishes articles that improve access to techniques and methods in the medical and biological sciences.
We are also interested in short but important research discoveries, such as new animal disease models.
Topics of interest include, but are not limited to:
Reports of new research techniques and applications of existing techniques
Technical analyses of research techniques and published reports
Validity analyses of research methods and approaches to judging the validity of research reports
Application of common research methods
Reviews of existing techniques
Novel/important product information
Biological Procedures Online places emphasis on multidisciplinary approaches that integrate methodologies from medicine, biology, chemistry, imaging, engineering, bioinformatics, computer science, and systems analysis.