Detection Method of Physicochemical Components of Zoonotic Pathogens Based on Multidimensional Spectroscopy

Abstract

This invention discloses a method for detecting the physicochemical components of zoonotic pathogens based on multidimensional spectroscopy, belonging to the field of spectral analysis technology. The method utilizes a multidimensional raw spectral set Msp to ensure systematic management of all raw spectral data of the same sample across different wavelength ranges, acquisition micro-regions, and acquisition sequences, providing a complete foundation for subsequent background identification. The background fitting result Fit, through precise identification and merging of host background fitting segments and environmental background fitting segments, achieves layered separation of host-origin proteins, host metabolic residues, and environmental contact surface residues, effectively reducing interference from non-pathogen physicochemical signals. The host background stripping spectral set Sbg, after background segment subtraction, background drift correction, and residual response retention processing, retains the true abnormal response segments, ensuring accurate preservation of low-load or weak-signal zoonotic pathogen-related physicochemical components and guaranteeing the stability of the determination.

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