High-flux non-diagnostic detection method for 13 respiratory viruses based on novel suspension chip technology

Abstract

The invention discloses a high-flux non-diagnostic detection method for 13 respiratory viruses based on a novel suspension chip technology. Aiming at the specificity gene sequences of 13 pieces or types of respiratory viruses, such as influenza viruses A and B, auxiliary influenza viruses 1 and 3, coronavirus SARS-CoV and CoV-NL63, respiratory syncytial viruses A and B, adenoviruses B and E, a rhinovirus, a human metapneumovirus and an enterovirus, 13 pairs of primers and corresponding specificity probes are designed; by multiple polymerase chain reaction (PCR) amplification and TSPE reaction, X-TAG nucleic acid fragment and biotin are respectively marked with corresponding gene fragments; the marked fragments are combined with corresponding encoded micro balls; and a suspension chip scanner is used for performing detection. The high-flux non-diagnostic detection method can accurately detect 13 respiratory viruses and subtypes of the 13 respiratory viruses; the probes do not generate cross reaction; the specificity is high; and the sensitivity is high. A high-flux, quick and accurate technical platform is capable of simultaneously detecting various respiratory viruses; technical equipment is supplied to the detection of pathogens of sudden respiratory tract infectious diseases; and information can be timely supplied to the handling of infectious disease epidemic situation burst.

Description

technical field [0001] The invention relates to a high-throughput non-diagnostic detection method for 13 kinds of respiratory viruses based on novel suspension chip technology. Background technique [0002] The successive outbreaks and epidemics of SARS, H1N1 influenza A, new coronavirus infection and human infection of H7N9 avian influenza, the epidemic of respiratory tract infection and the harm caused have always been the focus of public health attention. There are many types of viruses that cause respiratory infections in humans, including at least 30 viruses and their subtypes from 7 families. Because one (type) virus can cause multiple clinical symptoms, and the same clinical symptom can be caused by multiple (types) viruses, traditional testing methods cannot quickly and accurately identify the pathogen. The rapid and accurate detection of pathogens is the key to timely and accurate prediction, forecast and early warning. When the source of infection is isolated in ...

AI Technical Summary

Problems solved by technology

Because one (type) virus can cause multiple clinical symptoms, and the same clinical symptom can be caused by multiple (type) viruses, traditional testing methods cannot quickly and accurately determine the pathogen

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