Recombinase Polymerase Amplification for Rapid Detection of Zoonotic Pathogens

Preprint | 
10.55415/deep-2022-0015
This is not the most recent version. There is anewer versionof this content available.
Ruichen Lv
Huadong Research Institute for Medicine and Biotechniques
Huadong Research Institute for Medicine and Biotechniques
Nianhong Lu
Huadong Research Institute for Medicine and Biotechniques
Huadong Research Institute for Medicine and Biotechniques
Junhu Wang
Huadong Research Institute for Medicine and Biotechniques
Huadong Research Institute for Medicine and Biotechniques
Yuexi Li*
Huadong Research Institute for Medicine and Biotechniques
Huadong Research Institute for Medicine and Biotechniques
Yong Qi*
Huadong Research Institute for Medicine and Biotechniques
Huadong Research Institute for Medicine and Biotechniques

# contributed equally to this work, * Corresponding author


Abstract

With the advent of molecular technology, several isothermal techniques for fast detecting zoonotic pathogens have been developed. Among them, Recombinase Polymerase Amplification (RPA) is becoming an important technology for rapid, sensitive and economical detection of zoonotic pathogens. RPA technology has the advantage of being implemented in a field-based scenario because the method requires minimal sample preparation and is performed at a constant low temperature (37-42°C). It is rapidly becoming a promising tool for rapid detection and further prevention and control of zoonotic diseases. This article will discuss the principles of RPA technology and its derivatives, including RPA coupled with lateral flow test (RPA-LF), real-time fluorescence RPA, Electrochemical RPA, Flocculation RPA and other technologies, and their applications in detection of zoonotic pathogens for a brief review.
Keywords
Subject Area
Now Published
Version History
  • 03 Mar 2022 16:50 Version 1
Scores
 3.4
Rapid Rating Times: 14
· Level of Quality: 3.43
· Level of Repeatability: 3.57
· Level of Innovation: 3.93
· Level of Impact: 3.29

*Each rating ranges from 0-5

Rapid Rating
Your professional field is different from the direction of this article. Go Settings!
  • Level of Quality
    Is the publication of relevance for the academic community and does it provide important insights? Is the language correct and easy to understand for an academic in the field? Are the figures well displayed and captions properly described? Is the article systematically and logically organized?
    0.0
  • Level of Repeatability
    Is the hypothesis clearly formulated? Is the argumentation stringent? Are the data sound, well-controlled and statistically significant? Is the interpretation balanced and supported by the data? Are appropriate and state-of-the-art methods used?
    0.0
  • Level of Innovation
    Does the work represent a novel approach or new findings in comparison with other publications in the field?
    0.0
  • Level of Impact
    Does the work have potential huge impact to the related research area?
    0.0
Submit

我们使用 cookie 将您与其他用户区分开来, 并在我们的网站上为您提供更好的体验。

关闭此消息以接受 cookie 或了解如何管理您的 cookie 设置。

了解更多关于我们的隐私声明..

goTop