36 results about "Raman scattering spectra" patented technology

The application discloses a kind of covalent organic framework aerogel and its preparation method and application, belong to aerogel material technical field.The preparation method of the application is by graphite phase carbon nitride / graphene oxide heterojunction with 1,3,5-triformylphloroglucinol, 2,5-diaminobenzenesulfonic acid, sodium hydroxide is hydrothermal reaction, and join gold source and be modified, to prepare covalent organic framework aerogel.The covalent organic framework aerogel prepared in the application has the advantages of strong adsorption and self-cleaning capacity, and based on surface-enhanced Raman scattering spectrum (SERS) technology can be directly used as substrate to detect pollutants, and the concentration of pollutants can be evaluated.

The invention relates to the technical field of medicinal liquor component detection, and discloses an accurate detection system for medicinal liquor components. The system comprises a multi-source spectrum acquisition module, a dynamic component modeling module, a multi-mode difference fusion module, an abnormal component positioning module and a detection strategy optimization module. The multi-source spectrum acquisition module synchronously captures near-infrared absorption spectrum, Raman scattering spectrum and liquid chromatogram-mass spectrum combined data, and generates a standardized spectrum data matrix through adaptive filtering; the dynamic component modeling module constructs a feature extraction network based on a historical spectrum library, and outputs a theoretical component vector containing a target active component concentration interval; the multi-mode difference fusion module generates a multi-dimensional difference tensor through multi-mode difference analysis; the abnormal component positioning module generates an abnormal component distribution probability thermodynamic diagram in combination with the medicinal material association topology network; and the detection strategy optimization module dynamically configures detection parameters according to the thermodynamic diagram. According to the system, accurate detection and abnormal positioning of medicinal liquor components are realized, and the comprehensiveness and intelligent level of detection are improved.

The invention discloses a photovoltaic cell, a photovoltaic module and a processing method of the photovoltaic cell, the surface of the photovoltaic cell is provided with an antireflection layer, and the antireflection layer has a saturated bond; when the anti-reflection layer on the surface of the photovoltaic cell is characterized by adopting a Raman scattering spectrum analysis test, a Raman spectrum chart obtained by the anti-reflection layer has a characteristic peak A, and the ratio range of the peak intensity of the characteristic peak A to the half-peak width is 1-25. According to the photovoltaic cell, a Raman spectrum chart in the antireflection layer has a characteristic peak A at the position, the ratio range of peak intensity to half-peak width is 1-25, the characteristic peak A is relatively sharp, intermolecular acting force in a molecular structure of the characteristic peak A is high, chemical bonds are not prone to breakage, and therefore the characteristic peak A at the position is the characteristic peak corresponding to a saturated bond; therefore, a large number of saturated bonds exist in the antireflection layer, and only a small number of unsaturated bonds or dangling bonds exist in the antireflection layer, so that the stability and passivation effect of the antireflection layer are ensured, and the photovoltaic cell is further ensured to have relatively good power generation efficiency.

This invention provides a method for detecting malachite green veterinary drug residues using SERS based on silver-coated gold nanorods. The method includes: mixing a malachite green standard solution with silver-coated gold nanorods, adding a coagulant to form a mixed solution, and performing Raman spectroscopy to obtain the surface-enhanced Raman scattering (SERS) peaks of the malachite green standard solution; determining the characteristic peaks used to identify malachite green using SERS by assigning the malachite green molecular structure to the Raman peak positions; and determining the linear relationship between the concentration of malachite green and the intensity of the characteristic peaks. The method also involves mixing the sample solution to be tested with silver-coated gold nanorods, adding a coagulant to form a mixed solution, and performing Raman spectroscopy to obtain the peak intensity of the characteristic peaks of malachite green in the sample solution. The concentration of malachite green in the sample solution is calculated based on the linear relationship between the concentration of malachite green and the peak intensity of the characteristic peaks. This invention enables accurate and rapid detection of malachite green in aquatic products, ensuring the safe production of aquatic products.

The invention pertains to the technical fields of bioanalytics and agriculture, and relates to a method and to an assembly for in-ovo sexing of bird eggs. The aim of the present invention is to provide a method and an assembly by means of which in-ovo sexing of bird eggs is achieved with a stable predictive accuracy of the sex and which are simple and cost-effective. The aim is achieved using a method and an assembly in which a fertilised bird egg incubated for 3 to 9 days is irradiated with at least two light-emitting laser beam sources with different excitation waves after the shell is opened, the captured and processed fluorescence scattering spectra and Raman scattering spectra being used, as complementary spectra associated with the different excitation wavelengths, to determine a classification value, and the sex being determined by comparing the determined classification value with an intrinsically determined threshold value. The method and the assembly can be used for sexing farm poultry.

The application discloses an in-situ Raman spectrum testing method and system in a plasma environment. The in-situ Raman spectrum testing system comprises a Raman testing device and a material growth equipment for growing a sample in the plasma environment. The Raman testing device is used for emitting a pulsed light signal to the material growth equipment and irradiating the sample grown on the material growth equipment, exciting the sample to generate a pulsed Raman scattering signal, and collecting the pulsed Raman scattering signal in a pulsed time domain, and obtaining a Raman scattering spectrum through data processing. The in-situ Raman spectrum testing system disclosed by the application reduces the interference of stray light in the plasma environment on the Raman spectrum testing by emitting a pulsed light signal by the Raman testing device and receiving a pulsed time domain Raman scattering signal excited by the pulsed light signal.

The present invention provides a method for detecting DNA methylation, comprising reacting a DNA of a gene with a metal cluster modified with a molecule having a function for binding DNA, amplifying signals of methylated bases in the DNA by surface-enhanced Raman scattering (SERS) spectroscopy, and detecting the DNA methylation based on the SERS spectrum.

This application discloses a sample detection system and method, applied in the field of spectral analysis technology. The system includes a light projection module, a sample carrier, a signal acquisition module, and a sample detection module. The light projection module emits a laser signal of the target wavelength and focuses it onto the sample to be tested on the sample carrier. The signal acquisition module uses a front-facing light-receiving probe and at least one side-facing light-receiving probe to acquire Raman scattering and Rayleigh scattering signals generated by the sample to be tested. The sample detection module performs spectral composition analysis on the acquired scattered light signals from the sample to obtain the Raman scattering spectrum, and detects the sample based on the Raman scattering spectrum. This application overcomes the drawback of weak signal intensity in related technologies, effectively improving Raman signal intensity, especially for rough samples, enabling efficient and accurate detection.

The invention discloses a multi-mode pathogen identification method, device, equipment and medium, and relates to the technical field of microfluidics, the method comprises the following steps: obtaining pathogen sample data corresponding to each outlet in a plurality of outlets of a microfluidic chip; the pathogen sample data comprises Raman scattering spectrum information and outlet distribution information; the Raman scattering spectrum information is obtained by performing surface enhanced Raman spectrum processing on pathogen group data, and the pathogen group data is output after mixing a sample to be detected and Raman scattering enhanced particles in the micro-fluidic chip and performing physical separation based on particle size difference; the particle sizes of the pathogen population data output by the outlets are different; and inputting pathogen sample data into the trained multi-modal deep learning model to obtain a pathogen type prediction result. According to the invention, the identification accuracy of pathogen types in mixed samples or complex environments is improved.

The application discloses a kind of water tower wall condensate water quality detection method and system, it is related to industrial water quality detection technical field, including obtaining target water tower real-time running environment data set, calculating the temperature gradient of each monitoring area in inner wall, combining humidity to predict condensate water active condensation region, in the region arrangement micro water quality sampling array timing collection water sample, after physical pretreatment, through multichannel parallel spectrum analysis device synchronous acquisition ultraviolet absorption, near infrared transmission and Raman scattering spectrum data, to multidimensional spectrum data fusion analysis and extract feature, generate multidimensional water quality feature vector, construct space water quality image.This method can match condensate water actual generation area sampling, through multispectral fusion analysis complete characterization water quality information, realize the accurate detection of water tower wall condensate water quality and space distribution image construction.

To provide a positive electrode material for a manganese-based sodium ion battery having advantages of high capacity and low cost, and a method for manufacturing the same.SOLUTION: The chemical formula of the positive electrode material is NaxM1aFebMncO2, 0.6 ≤ x ≤ 1.0, 0.05 ≤ a ≤ 0.4, 0.1 ≤ b ≤ 0.45, 0.4 ≤ c ≤ 0.6, a + b + c = 1, where M1 is a metallic element that is in a solid state and has no oxidation reduction function, and is preferably at least one of Li, Mg, Zn, Ca, and Al. In the XRD spectrum of the cathode material, the peak intensity ratio of the crystal plane diffraction peaks (003) and (104) is 0.5 ≤ I (003) / I (104) ≤ 0.98. In the Raman spectrum of the positive electrode material, the characteristic peak S appears in the range of 660 to 680cm - 1, the characteristic peak B appears in the range of 565 to 580cm - 1, and the peak intensity ratio of the two is 0.2 ≤ IS / IB ≤ 0.8.SELECTED DRAWING: Figure 6

The invention relates to the technical field of food quality detection, in particular to a green tea variety and producing area identification method based on multi-solvent fusion surface enhanced Raman spectroscopy, which comprises the following steps: crushing and sieving a green tea sample, adding ultrapure water, absolute ethyl alcohol or hydrochloric acid solution, oscillating and extracting, centrifuging, and reserving supernate; mixing the supernate with the silver nanoparticle suspension, performing ultrasonic treatment, dripping on a silicon wafer, drying, acquiring spectrums at three positions by adopting a laser confocal microscopic Raman spectrometer, and performing baseline correction to obtain an average spectrum, thereby obtaining a surface enhanced Raman scattering spectrum; carrying out data fusion on the surface enhanced Raman scattering spectrum through matrix splicing, CARS, PCA, t-SNE and UMAP; according to the method, the fusion spectrum is divided into a training set and a test set, an identification model is constructed by adopting SVM, KNN and RF, green tea variety classification and origin traceability are realized, spectrum data are processed from the aspects of complete information retention, feature screening, linear dimensionality reduction, local structure retention and multi-scale structure retention, and the classification accuracy reaches 98.21%.

A method and system for functionalizing substrates for use in near field surface-enhanced Raman scattering (SERS) spectroscopy. Each functionalized glass substrate of a set of glass substrates functionalized with trimethoxy-[3-(methylamino)propyl] silane is coated with a colloidal solution of gold nanoparticles. A Raman-active dye is applied to the glass substrate through spin coating. A near field SERS spectroscopy of each functionalized glass substrate is performed. Hotspots that produce high-intensity scattering from the dyed immobilized gold nanoparticles are identified for each functionalized glass substrate. A direction of interparticle axis between two adjacent dyed immobilized gold nanoparticles and electromagnetic near field intensity of the scattering along the direction of the interparticle axis for each hotspot are identified for each functionalized glass substrate. A location of each interstitial position, the direction of the interparticle axis, and the electromagnetic near field intensity of the respective hotspot are mapped for each functionalized glass substrate.

The invention discloses a blood gas analysis method and a related device. The method comprises the following steps: acquiring a target Raman scattering spectrum of mixed gas exhaled by a human body; determining the pressure intensity of each single-component gas contained in the mixed gas exhaled by the human body according to the target Raman scattering spectrum and a plurality of pre-stored Raman intensity-pressure intensity corresponding relations; for each group of single-component gas, determining the concentration of the group of single-component gas based on the total pressure intensity of the mixed gas exhaled by the human body and the pressure intensity of the single-component gas; and determining a blood gas analysis result of the human body based on the concentration of each single-component gas contained in the mixed gas exhaled by the human body. As different single-component gases have different Raman scattering characteristic peaks, the types of the single-component gases included in the mixed gas can be determined after the first scattering spectrum is obtained; and the concentration of each single-component gas can be quantified by combining a pre-stored Raman intensity-pressure corresponding relationship, so that the blood gas analysis result of the human body is determined.

The application discloses a mercury ion detection method and device and a preparation method of a nano-gold Raman enhancer, and is used for improving the detection accuracy of heavy metal mercury ions. The mercury ion detection method comprises the following steps: preparing a nano-gold Raman enhancer by using a chloroauric acid solution, a sodium citrate solution and a thiuram solution; adding the nano-gold Raman enhancer into a mercury ion reference solution; performing Raman spectrum detection on the mixture to generate a spectrum graph; determining a target characteristic peak from the spectrum graph as a discrimination basis for enhancing Raman scattering spectrum detection of mercury ions, and determining that the mercury ion concentration and the intensity of the characteristic peak are in a positive correlation relationship, the mercury ion reference solution is a solution with a known mercury ion concentration; adding the nano-gold Raman enhancer into a sample solution to be detected; performing Raman spectrum detection on the mixture, and calculating the mercury ion concentration in the sample solution to be detected according to the peak area of the known characteristic peak.

The application discloses a combined device for material surface and bulk phase testing, and belongs to the technical field of material analysis and testing. In order to study and analyze the micro-particle activity of the surface and bulk phase structure of a lithium ion battery multi-layer structure, the combined device comprises a hard X-ray photoelectron spectrometer (1) and an X-ray Raman scattering spectrometer (2). When incident hard X-rays (31) are obliquely incident on a sample (41) located at a sample point (4), electrons can be excited and photons can be scattered. The hard X-ray photoelectron spectrometer (1) can detect the electrons, and the X-ray Raman scattering spectrometer (2) can detect the photons. The combined device is based on a synchrotron radiation light source facility, and combines the hard X-ray photoelectron spectroscopy and the hard X-ray Raman scattering technology to be applied to lithium ion battery testing. The specific structure is simple, and the lithium ion battery can be subjected to synchronous analysis of the surface layer and the bulk phase structure.

The utility model discloses an automatic focusing Raman spectrometer which comprises a first shell, a fixing block is fixedly connected in the first shell, a driving assembly used for power output is fixedly connected in the fixing block, the output end of the driving assembly is fixedly connected with a driving shaft, and the driving shaft is fixedly connected with a focusing device. A transmission gear is fixedly connected to the exterior of the driving shaft, a rotating shaft is rotatably connected to the interior of the fixing block, a driven gear is fixedly connected to the exterior of the rotating shaft, and a tray is fixedly connected to the top of the driven gear. According to the structure, the fixing plate is fixed at the top of the sliding block, the laser is arranged on the surface of the fixing plate, the focusing ring outside the light filter can be adjusted through the light filter at the top of the fixing block in cooperation with the laser to irradiate the surface of a sample on the tray, the Raman scattering phenomenon is triggered, and therefore the characteristic peak in a Raman scattering spectrum can be observed more clearly; the molecular structure of the sample can be accurately analyzed.

The application belongs to the technical field of surface enhanced Raman scattering spectrum, and particularly discloses a silver nanometer@ZIF-8@gold nanometer composite substrate and a preparation method and application thereof. The silver nanometer@ZIF-8@gold nanometer composite material provided by the application takes the silver nanometer ball with a particle size of 100-400 nm as a core, the silver ball is wrapped with a ZIF-8 film with a thickness of 1-10 nm, and the gold nanometer ball with a particle size of 30-50 nm is attached to the outer layer of the silver core ZIF-8 shell. The excellent material ZIF-8 in the MOF is combined with the two kinds of noble metal materials of gold and silver, and the noble metals form a multiple enhancement effect. Meanwhile, the design of taking the silver nanometer ball as the core, the ZIF-8 as the shell and the gold nanometer ball being uniformly attached to the surface of the core-shell avoids the plugging problem of the noble metal nanometer ball to the MOF material to a certain extent, improves the adsorption performance of the substrate and increases the number of the substrate surface "Raman hot spots", and greatly improves the detection sensitivity of the substrate.

The Raman scattering spectroscopic method according to the present invention include: preparing a chip having a channel in which a nanostructure is formed; introducing an analyte solution into a part of the channel in the chip; irradiating an interface of the analyte solution with a laser beam; and measuring Raman scattering light induced by the irradiation of the laser beam. The measurement may be performed, with a fixed laser beam irradiation position, both in a state where the interface of the analyte solution is included in the laser-beam-irradiation area and in a state where the interface of the analyte solution is not included in the laser-beam-irradiation area, or may be performed keeping the state where the interface of the analyte solution is maintained in the laser-beam-irradiation area by controlling the laser-beam-irradiation area according to the movement of the interface due to evaporation of the analyte solution.

The utility model provides a bursaphelenchus xylophilus infectious disease detector based on a Raman scattering spectrum analysis technology, and particularly belongs to the technical field of infectious disease detection. A Raman spectrum imaging module, a data acquisition module, a data comparison module and a result output module form a core module of the device, so that light path design and a CNN algorithm are optimized, the signal-to-noise ratio of the device is improved by 30%, the classification accuracy rate reaches 97.2%, trace metabolite change in the early stage of infection can be detected, the infection incubation period is shorter than 7 days, and the detection accuracy is improved. Therefore, the device has the characteristics of high sensitivity and specificity. The device comprises a laser fixing support and a beam splitter prism assembly, and further comprises a light filtering module and a sample bin. Four-corner buckles are arranged on the inner side of the laser fixing support, the laser fixing support is used for installing the laser through the buckles, the beam splitter prism assembly is installed on one side of the laser, the light filtering module is installed on the other side of the beam splitter prism assembly, and the sample bin is installed on the other side of the light filtering module.

A corrosion detecting composition comprising a nanoparticle and at least one chemically reactive adsorbate associated with the nanoparticle. The chemically reactive adsorbate displays a responsive surface enhanced Raman scattering (SERS) spectral response that is a function of pH. The nanoparticle is contained in a selective carrier; such that the selective carrier allows transport of protons or hydroxide anions to the chemically reactive adsorbate associated with the nanoparticle. Lastly, the selective carrier restricts transport of organic chemical compounds to the at least one chemically reactive adsorbate. This allows the Raman sensor molecules to be blended with paints and coatings prior to application on metal surfaces, and the Raman sensor molecules do not prematurely react with the components of paints or coatings. A Raman detectors can be used to non-destructively interrogate the Raman sensor molecules and detect the pH changes associated with undercoat corrosion.

An analytical method and system for monitoring cellular status wherein excitation energy is focused into an excitation cytometry volume within a cell sample that is located within a bioreactor or fermenter to induce optical signals from intracellular compounds. The resulting optical signals are directed to a detection subsystem that has at least two detection channels. One channel detects the elastic (Rayleigh or Mie) scattering signal from the cell that identifies the presence of the cell within the excitation volume. Another channel detects the fluorescence and / or Raman scattering signal of intracellular compounds of the cells. The elastic scattering signals associated with individual cells are used as event-triggers to gate the detection of the intracellular fluorescence and / or Raman signal to eliminate the background noises from the suspension media. The intracellular fluorescence and / or Raman scattering signal are used to characterize cellular status based on the fluorescence intensities at specific fluorescence wavelengths and peak analysis of Raman scattering spectra.

A method for measuring with a primary reference standard and for potentially adjusting and / or calibrating a high-sensitivity spectrometer via a computer includes the following steps: using a high-purity H₂O solution as a primary standard stored in a container; exciting the standard using at least one excitation laser; collecting and measuring Raman scattering from the standard using a detector of the instrument, in the form of Stokes, anti-Stokes, or both; applying a correction method to correct for variations in Raman scattering caused by the container to improve measurement accuracy; measuring and integrating the intensity over a fixed detection bandwidth of the Raman scattering spectrum to calculate the instrument's optical efficiency; and potentially adjusting and / or calibrating the high-sensitivity spectrometer based on the calculated instrument optical efficiency.

The invention provides a positive electrode material and a battery. The positive electrode material comprises a lithium transition metal composite oxide, the positive electrode material is characterized by a Raman scattering spectrum, in a Raman spectrum of the positive electrode material, the positive electrode material has an Eg peak and an A1g peak, and the peak position difference delta between the Eg peak and the A1g peak is greater than or equal to 60 cm <-1 > and less than or equal to 100 cm <-1 >; the peak position x of the Eg peak is larger than or equal to 450 cm <-1 > and smaller than or equal to 560 cm <-1 >; the A1g peak position y meets the condition that y is greater than or equal to 550cm <-1 > and less than or equal to 650cm <-1 >, and in the range, the bonding strength and the stress state of the positive electrode material in the c-axis direction and the a-b plane direction reach a balanced state, that is, the positive electrode material is in a relatively low anisotropic stress state, the cycling stability of the positive electrode material is improved, and the growth rate of direct-current resistance is reduced.

An antenna module includes a dielectric substrate and a radiating element disposed on the dielectric substrate. The dielectric substrate includes first and second flat portions with different normal directions, and a bending portion that connects the first flat portion and the second flat portion. The bending portion has a bending region having a curvature. The first and second flat portions have a straight region having no curvature. The radiating element is disposed in the first flat portion. In a Raman spectrum obtained by Raman scattering spectroscopic analysis of a cross section of the dielectric substrate, a wave number difference indicating a difference between a wave number which is a mode value in the straight region and a wave number which is a mode value in the bending region is 0.1 cm−1 or more.

The invention provides a multichannel Raman scattering spectrum gas sensing system based on a grating coupler array, and particularly relates to the technical field of gas analysis and measurement. The multi-channel near-infrared top emitting laser array is incident to the surface of the organic polymer film at a small angle, laser and gas to be detected interact to generate spontaneous Raman scattering light, the grating coupler array realizes multi-channel and high-efficiency collection of the Raman scattering light, and the scattering light is coupled to the transmission waveguide, so that the Raman scattering light is transmitted to the surface of the organic polymer film. The transmission waveguide is coupled with the optical fiber and is transmitted to the Raman spectrometer for detection, the data processing module extracts gas measurement information, and the main control module overall plans all the modules to work cooperatively. The laser, the transmission waveguide, the data analysis module and the like are integrated to form a multi-channel, integrated and low-power-consumption Raman scattering spectrum gas measurement system, and the Raman scattering spectrum gas measurement system has the advantages of high detection efficiency, high stability, small size and high adaptability, and can be widely applied to scenes such as gas analysis and environment monitoring.

Provided is a novel method that makes it possible to determine the quantity of a thermoplastic resin contained in a molded article.　An embodiment of the present invention provides a method for determining the quantity of a thermoplastic resin A contained in a molded article, said method comprising a step C1 and a step C2. Step C1 is for measuring, from a Raman scattering spectrum of the molded article, the intensity of a Raman scattering peak A which is attributed to the thermoplastic resin A. Step C2 is for referring to a calibration curve which indicates the correlation between the content ratio of the thermoplastic resin A and the intensity of the Raman scattering peak A, and calculating, from the intensity of the Raman scattering peak A measured in step C1, the content ratio of the thermoplastic resin A contained in the molded article.　Another embodiment of the present invention provides a method for determining the quantity of a thermoplastic resin A contained in molding waste, said method comprising a step A, a step B, and a step C. Step A is for pulverizing molding waste that comprises a thermoplastic resin to obtain a pulverized product. Step B is for molding the pulverized product to obtain a molded article. Step C is for determining the quantity of the thermoplastic resin A contained in the molded article.　Another embodiment of the present invention provides a method for producing a recycled resin, said method comprising said step A, said step B, said step C, and a step D. Step D is for obtaining a recycled resin from a raw material that contains said pulverized product (a) and / or a pulverized product (b) which is obtained by pulverizing said molded article.

The application discloses a COD water pollution analysis system and belongs to the technical field of water pollution detection. The system solves the problem of false COD detection caused by the use of specific auxiliaries and dyes in printing and dyeing enterprises, which leads to high LAS and high dye composite interference in wastewater, false 48 mg / L masking real 78 mg / L exceeding standard water, and ecological disaster caused by misdischarge into a canal, and the problem of enterprise being punished and suspended production. The system comprises an optical coherence tomography module, a Raman spectrum detection module, and a dielectrophoresis photo-thermal micro-disturbance module. The optical coherence tomography module is used for emitting femtosecond laser and detecting interference signals to obtain depth-resolved scattering distribution of a sample. The Raman spectrum detection module is used for exciting and collecting Raman scattering spectrum of the sample for specific identification of dye and surfactant molecules. The dielectrophoresis photo-thermal micro-disturbance module is used for applying a controllable electric field and photo-thermal excitation to separate different pollutants and measure dielectric and thermal responses thereof. The multi-modal tomography Raman dielectrophoresis photo-thermal imaging combination of the application strips LAS dye interference, dynamically inverses true COD, and titrates a closed loop to avoid false standard reaching.

This application provides an online syngas component detection system and method for coupled gasification conditions, relating to the field of gas component detection technology. The system acquires the Raman scattering and laser absorption spectra of syngas at the same pipeline cross-section; determines process setting parameters for the concentration of carbon dioxide in the gasifying agent and the blending ratio of the coupled feedstock in the coupled gasification conditions; corrects the measured values ​​of hydrogen and carbon monoxide concentrations through component correlation constraints, while keeping the measured values ​​of carbon dioxide and methane unchanged, obtaining corrected multi-component concentration values; binds the corrected multi-component concentration values ​​to the sampling timestamp, and outputs an online detection data frame containing real-time concentration values ​​of hydrogen, carbon monoxide, carbon dioxide, and methane. This application can achieve accurate detection of multi-component concentrations of syngas under complex spectral interference conditions, thereby improving the reliability of online syngas detection.

The invention relates to a multi-dimensional serum detection method based on a surface enhanced Raman scattering substrate and a serum detection device.The serum detection method comprises the steps that a surface enhanced Raman scattering spectrum is obtained through the surface enhanced Raman scattering substrate; and obtaining a final detection result through a secondary discriminant analysis algorithm and a majority principle or a consistent agreement principle. By utilizing the serum detection method or the serum detection device, trace detection of the serum can be realized, a more reliable diagnosis result can be obtained, the whole process is simple and controllable, and the serum detection method or the serum detection device has a wide application prospect in the aspects of future practical clinical application and conventional serum screening. Meanwhile, the surface enhanced Raman scattering substrate disclosed by the invention has relatively high biochemical stability.