Literature DB >> 26352354

Capillary electrophoresis based on nucleic acid detection for diagnosing human infectious disease.

Dong-Sheng Lian, Shu-Jin Zhao.   

Abstract

Rapid transmission, high morbidity, and mortality are the features of human infectious diseases caused by microorganisms, such as bacteria, fungi, and viruses. These diseases may lead within a short period of time to great personal and property losses, especially in regions where sanitation is poor. Thus, rapid diagnoses are vital for the prevention and therapeutic intervention of human infectious diseases. Several conventional methods are often used to diagnose infectious diseases, e.g. methods based on cultures or morphology, or biochemical tests based on metabonomics. Although traditional methods are considered gold standards and are used most frequently, they are laborious, time consuming, and tedious and cannot meet the demand for rapid diagnoses. Disease diagnosis using capillary electrophoresis methods has the advantages of high efficiency, high throughput, and high speed, and coupled with the different nucleic acid detection strategies overcomes the drawbacks of traditional identification methods, precluding many types of false positive and negative results. Therefore, this review focuses on the application of capillary electrophoresis based on nucleic detection to the diagnosis of human infectious diseases, and offers an introduction to the limitations, advantages, and future developments of this approach.

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Year:  2016        PMID: 26352354     DOI: 10.1515/cclm-2015-0096

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  2 in total

1.  Alternate injections coupled with flow-gated capillary electrophoresis for rapid and accurate quantitative analysis of urine samples.

Authors:  Qingfu Zhu; Qiyang Zhang; Ning Zhang; Maojun Gong
Journal:  Anal Chim Acta       Date:  2017-05-06       Impact factor: 6.558

2.  Quantification of Coronaviruses by Titration In Vitro and Ex Vivo.

Authors:  Giulia Dowgier; Helena J Maier
Journal:  Methods Mol Biol       Date:  2020
  2 in total

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