Construction method of novel coronavirus Raman spectrum data center

Abstract

The invention discloses a construction method of a novel coronavirus Raman spectrum data center. The method comprises the following steps: S1, constructing a novel coronavirus structural protein Ramanspectrum database; S2, constructing a novel coronavirus nucleic acid Raman spectrum database; S3, constructing a novel coronavirus particle Raman spectrum database; S4, constructing a Raman spectrumdatabase of a novel coronavirus clinical detection sample; and storing each novel coronavirus Raman spectrum database into a novel coronavirus Raman spectrum detection server to form a novel coronavirus Raman spectrum data center. According to the invention, a set of complete novel coronavirus Raman spectrum database is effectively established, reliable standard data support is provided for the novel coronavirus Raman detection technology, and the accuracy and confidence of a detection result are effectively improved.

Description

technical field [0001] The invention belongs to the field of novel coronavirus detection, and in particular relates to a method for constructing a novel coronavirus Raman spectrum data center. Background technique [0002] 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. There are many experimental steps, and the whole detection process takes about 4 hours. screening. [0003] Surface-enhanced Raman spectroscopy (SERS) technology can identify and detect specific virus molecules quickly, accurately, and in real time. However, the Raman spectra of biomacromolecules will be affected by many factors, such as biological activity, the complexity of physiological environment, the variability among individuals, and the interaction between biomacromolecules and SERS-enhanced substrates, etc. The impact of these factors has brought great interference to the det...

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