Body fluid detection method and system based on SERS
A detection method and body fluid technology, applied in the field of SERS-based body fluid detection method and system, can solve the problem of unsuitability for physical examination and continuous tracking of disease, lack of repeatability, stability and accuracy, and unsuitability for high-frequency general survey of large-scale population and other issues to achieve the effect of saving data processing time, improving accuracy and reliability, and overcoming instability and non-repeatability
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Embodiment 1
[0064] A method for detecting body fluid based on SERS, comprising the steps of:
[0065] S1. Drop the body fluid sample to be tested on the surface enhancement substrate, and specify the body fluid sample dropping area and measurement area;
[0066] The main steps include:
[0067] S11, the surface-enhanced Raman (SERS) substrate was prepared by the electrochemical redox roughening method, and the rough substrate was cleaned and dried by ultrasonic vibration, and divided into regions and grids; specifically, the SERS substrate materials include but are not limited to gold, silver, Materials such as copper or graphene, substrates with surface-enhanced Raman scattering effects include but are not limited to rough silver substrates, rough gold substrates, or other achievable surface-enhanced Raman scattering substrates and nanoparticles. The embodiment uses metallic silver as the SERS substrate representative of the material.
[0068] In this embodiment, if necessary, specific...
Embodiment 2
[0107] A body fluid detection system based on SERS, comprising:
[0108] Baseline processing module: The baseline processing module is used to eliminate the influence of fluorescence and flatten the baseline. The processing methods include but are not limited to dual wavelengths to eliminate the influence of fluorescence, piecewise linear interpolation, polynomial fitting, etc.;
[0109] Specifically, the embodiment uses piecewise linear interpolation as the representative of the baseline processing method, divides the abscissa of the Raman spectrum, that is, the Raman frequency shift, into multiple intervals, and finds a minimum point within a certain wavenumber range before and after each interval , use these two points as the reference to do linear interpolation in the interval, and get the baseline spectral line by fitting. The baseline data can be subtracted from the original spectral data to achieve a flattened baseline. In actual data analysis and processing, you can als...
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