Novel Coronavirus (2019-nCoV) Nucleic Acid Detection Kit

Intended Use

This PCR kit is designed for the qualitative detection of 2019-nCoV, and the results indicate the presence of 2019-nCoV nucleic acid and can be used to support the diagnosis of 2019-nCoV infection.

Main Specifications

Name Technology Sensitivity Shelf-life Store Temperature Time for Result Package size NMPA International authority certification
Novel Coronavirus (2019-nCoV) Nucleic Acid Detection Kit  PCR-Fluorescence Probing  150 copies/mL 12 months -20±5℃ and protected from light 40-70 mins 50 Tests/Kit;96 Tests/Kit 国械注准20203400065 CE Certificate;EN ISO 13485 Certificate

Features

  • Dual-target gene

    Dual-target gene

    Minimizing false positives, the 2019-nCoV ORF1ab and N gene were simultaneous detected , The dual-target gene is designed based on the target regions of the 2019-nCoV ORF1ab and the N gene encoding the specific nucleocapsid protein.
  • Endogenous internal standard (RNP)

    Endogenous internal standard (RNP)

    The internal standard uses endogenous housekeeping gene to monitor the full process from sampling and detection to avoid false negative results. RNase P is ubiquitous in human organs and tissues, and can detect RNA nucleic acid fragments from human source samples, no need additional additions.
  • Assisted in the diagnosis of the first case of COVID-19

    Assisted in the diagnosis of the first case of COVID-19

    Before the outbreak of COVID-19, BioGerm's existing SARS nucleic acid detection kits assisted the identification of the first COVID-19 case in Wuhan Center for Disease Control and Prevention.
  • Recommended by the National Health Commission of PRC

    Recommended by the National Health Commission of PRC

    The BioGerm's novel coronavirus nucleic acid testing kit is one of the designated supplier for the epidemic control and prevention by the national health commission of PRC.

Integrated Solution for 2019-nCoV Detection

Partnership in Global

BioGerm 2019-nCoV and Respiratory Pathogens Differential Detection