A novel coronavirus detection method and system based on enhanced Raman spectroscopy and neural network

Abstract

The current novel coronavirus detection technology cannot take into account both accuracy and rapidity. The present invention realizes rapid and accurate identification of novel coronavirus based on enhanced Raman spectroscopy, and provides an integrated detection system including virus spectral database, customized enhanced substrate, algorithm software and mobile spectrometer. The invention uses a nanoporous gold-enhanced substrate to specifically capture the molecules of the new coronavirus, and improves the ability to identify virus Raman signals; the Raman spectrum of the collected sample is scanned, and the signal-to-noise ratio is improved through spectral clustering; the new coronavirus in different states The Raman spectral data intensity of S protein is randomly modulated and the negative Raman spectral data is superimposed to obtain a large number of credible positive spectral data of different concentrations of the new coronavirus; the spectral data of the sample to be tested is analyzed by training the residual neural network model to achieve high data throughput. Processing, intelligently determine the negative / positive of the new coronavirus, and complete the rapid and accurate detection of samples; also provide mobile detection and cloud platform solutions, which can be quickly deployed to monitor the epidemic situation in real time.

Description

technical field [0001] The invention belongs to the field of virus detection, in particular to rapid detection of novel coronavirus based on Raman spectroscopy. Background technique [0002] Rapid, accurate and real-time detection of the new coronavirus (SARS-CoV-2) plays a vital role in preventing and controlling the outbreak of the novel coronavirus pneumonia (COVID-19). At present, the detection of the new coronavirus (SARS-CoV-2) is mainly based on the real-time fluorescent polymerase chain reaction (RT-PCR) nucleic acid detection method, which is the current "gold standard" for the diagnosis of the new coronavirus, but there are many experimental steps. The whole detection process takes about 3 to 5 hours, and requires professional personnel and places, and the portability and speed are still insufficient. In addition, such as Chao Yan et al. reported a new coronavirus nucleic acid detection method based on reverse transcription loop-mediated isothermal amplification (...

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Problems solved by technology

[0005] 1. Generally, the Raman-enhanced effective area of ​​the substrate is mainly concentrated in the narrow "hot spot" area 2 to 10 nm away from the surface, while viruses are biological macromolecules with a size larger than 100 nm, and there are groups that enter the "hot spot" area on the substrate Certain randomness results in poor reproducibility of enhanced Raman spectrum signals, making it difficult to achieve high confidence determination of negative / positive biomacromolecule samples;

[0006] 2. In the detection of new coronaviruses, most of the samples are collected from throat swabs and nasal swabs, which are all complex mixture systems, and the signal-to-noise ratio of the Raman spectrum generated is poor. It is necessary to achieve accurate and rapid trace virus molecular characteristic signals It is extremely difficult to identify and judge by relying on traditional spectral peak-finding and data analysis methods;

[0007] 3. At present, there is still a lack of a large number of authentic and credible Raman spectral data of positive pathological samples of the new coronavirus, especially credible Raman spectral data of low virus concentration positive samples;

[0008] 4. There is a lack of fast and accurate mobile on-site detection solutions for border inspection ports, communities, schools, hotels, restaurants, bars and other public places with dense populations. Result analysis"full process inspection

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