Announcing a new article publication for Zoonoses journal. With the advent of molecular technology, several isothermal techniques for rapid detection of 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 able to be implemented in field settings, because the method requires minimal sample preparation and is performed at a constant low temperature (37–42°C). RPA is rapidly becoming a promising tool for the rapid detection, prevention, and control of zoonotic diseases.
The authors of this article discuss the principles of RPA technology and its derivatives, including RPA coupled with lateral flow testing (RPA-LF), real-time fluorescence RPA, electrochemical RPA, and flocculation RPA, and their applications in the detection of zoonotic pathogens.
Article reference: Ruichen Lv, Nianhong Lu and Junhu Wang et al. Recombinase Polymerase Amplification for Rapid Detection of Zoonotic Pathogens: An Overview. Zoonoses. Vol. 2(1). DOI: 10.15212/ZOONOSES-2022-0002
Keywords: recombinase polymerase amplification, rapid detection, zoonotic pathogen, zoonosis, RPA
Zoonoses is fully open access journal for research scientists, physicians, veterinarians, and public health professionals working on diverse disciplinaries of zoonotic diseases.
Zoonoses is now open for submissions; articles can be submitted online at https://mc04.manuscriptcentral.com/zoonoses
Please visit https://zoonoses-journal.org/ to learn more about the journal.
Editorial Board: https://zoonoses-journal.org/index.php/editorial-board/
Zoonoses is available on ScienceOpen (https://www.scienceopen.com/search#collection/839df240-327f-47dd-b636-9b728dff9700).
Submissions may be made using ScholarOne (https://mc04.manuscriptcentral.com/zoonoses).
There are no author submission or article processing fees.
Follow Zoonoses on Twitter @ZoonosesJ; Facebook (https://www.facebook.com/Zoonoses-Journal-100462755574114 ) and LinkedIn (https://www.linkedin.com/company/zoonoses/)
eISSN 2737-7474
ISSN 2737-7466