COVID-19 detection and identification method based on microscopic hyperspectrum

Abstract

The invention discloses a COVID19 detection and identification method based on microscopic hyperspectrum, and relates to the field of virus detection. The method specifically comprises the following steps: obtaining a detection sample from the mouth of a person to be detected by a detector through a throat swab method, separating through a separation device, adding a reagent to prepare two standard detection samples, and then respectively obtaining a conventional diagnosis result through PCR analysis and a detection identification result quickly obtained through a microscopic hyperspectral technology, wherein the latter can be independently used for diagnosis and detection, and part of the detection process is comprehensively compatible with the existing PCR detection technology. And on the basis, the obtained detection data is sent to a big data platform, a comparison and analysis result is given by a big database platform, and a final result is displayed. The invention is a rapid andefficient method, only 15-20 min is needed generally, the existing detection technology is expanded, the virus detection accuracy is improved, and the epidemic prevention work efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of virus detection, more specifically, to a method for detecting and identifying COVID-19 based on microscopic hyperspectral. Background technique [0002] The current detection method suitable for large-scale applications is to detect the new coronavirus through RT-PCR reverse transcription polymerase chain reaction. The positive rate of nucleic acid detection of throat swabs and nasopharyngeal swabs is now about 30% to 40%. Negative tests cannot rule out new coronavirus pneumonia, even if multiple tests are negative, it usually takes 4 to 6 hours to obtain the results, and the detection accuracy is about 80% to 90%, requiring the use of more expensive The device can obtain the test result. Contents of the invention [0003] In order to further improve the detection accuracy and greatly shorten the detection time, the present invention provides a method for detecting and identifying COVID-19 based ...

AI Technical Summary

Problems solved by technology

[0002] The current detection method suitable for large-scale applications is to detect the new coronavirus through RT-PCR reverse transcription polymerase chain reaction. The positive rate of nucleic acid detection of throat swabs and nasopharyngeal swabs is now about 30% to 40%. Negative tests cannot rule out new coronavirus pneumonia, even if multiple tests are negative, it usually takes 4 to 6 hours to obtain the results, and the detection accuracy is about 80% to 90%, requiring the use of more expensive equipment to obtain test results

Images