454 results about "Raman scattering" patented technology

The invention discloses a water quality heavy metal pollution detection method and system based on Raman spectrum.The water quality heavy metal pollution detection method comprises the steps that water body Raman scattering light is collected in situ through a miniature optical fiber probe, and a continuous time sequence spectrum signal flow is generated; wavelet transform is combined with self-adaptive threshold setting, and high-frequency noise and effective spectral signals are separated; dynamically strengthening the characteristic peak of the target heavy metal through a frequency domain characteristic screening module, and inhibiting a water molecule interference peak at the same time; generating a cross-domain fusion feature vector; processing the fusion feature vector through a pre-trained heavy metal concentration prediction model, and outputting concentration prediction values of various heavy metals; a confidence score is dynamically calculated based on a deviation between a current predicted value and historical data distribution, and model parameter update and system calibration are automatically triggered. The method has the advantages that through acousto-optic signal cross-domain fusion and closed-loop self-calibration, the target peak is dynamically strengthened while water molecule interference is inhibited, and the real-time performance, the anti-interference performance and the prediction precision of heavy metal detection are improved.

The invention relates to the technical field of structural stress precision measurement, in particular to a distributed optical fiber sensing-based steel structure stress monitoring method, which comprises the following steps of: 1, constructing a sensing optical fiber array in a steel structure node area; 2, injecting optical pulses into the sensing optical fiber array, and synchronously collecting Brillouin frequency shift signals and Raman scattering signals of all points; 3, temperature and mechanical strain are separated based on the reference optical fiber signals, global temperature compensation is adopted for the first optical fiber set, and temperature gradient compensation along the optical fiber path is adopted for the second optical fiber set; 4, decomposing the compensated mechanical strain into multidirectional strain components according to the spatial orientation of the optical fiber, and reconstructing a three-dimensional stress field through strain component fusion; and 5, dynamically judging the damage risk according to the local stress concentration coefficient and the change rate thereof in the stress field. And through the temperature compensation technology, the influence of the environment temperature change on the strain data is eliminated, and the reliability of the monitoring result is improved.

The invention provides a polarization modulation coupling time control phase locking high-temperature noise suppression in-situ Raman method and device, and relates to the technical field of spectrum detection. The method comprises the following steps: exciting pulse linear polarization laser to irradiate a sample to obtain Raman scattering light; a parallel vibration component (P) and a vertical vibration component (S) are obtained, and original spectral data containing polarization information and residual high-temperature noise are collected by adopting an ISCCD detector synchronously triggered by gating. Background noise is removed and a parallel vibration component (P) is extracted through polarization differential processing in combination with adaptive filtering (dynamically adjusting parameters according to signal distribution) and principal component analysis (PCA); and finally, performing signal-to-noise ratio optimization on the pure component by applying a phase locking algorithm to finally obtain a Raman spectrum result with a high signal-to-noise ratio. According to the invention, the in-situ Raman spectrum of the material within the temperature range of room temperature to 3000 DEG C can be measured, and the detection of weak signals is more sensitive.

The invention relates to a surface-enhanced Raman scattering detection substrate, a preparation method thereof and a Raman scattering detection method. The surface-enhanced Raman scattering detection substrate comprises a silicon substrate, wherein at least one surface of the silicon substrate is provided with a functional area; the plurality of silicon nanorods are positioned in the functional region; the silicon nanorod comprises a main body part and a head part, the main body part is located between the head part and the silicon substrate, and the main body part is connected with the head part and the silicon substrate; the radial width of the head part is gradually reduced in the direction perpendicular to and away from the surface of the silicon substrate; the total area of orthographic projections of the silicon nanorods on the silicon substrate accounts for 1%-10% of the area of the functional area. According to the surface-enhanced Raman scattering detection substrate, enrichment of molecules to be detected in a three-dimensional space can be achieved, the signal enhancement capacity is high, and the detection sensitivity of target molecules can be remarkably improved.

The invention relates to the technical field of spectrum detection, and particularly discloses a preparation method of a microstructure enhanced optical fiber and a Raman spectrometer light collection system thereof, the system comprises: a light source assembly for generating laser and performing collimation treatment on the laser to make the collimated laser irradiate a to-be-detected sample; the detection area assembly is used for placing a to-be-detected sample and positioning the to-be-detected sample; the collection assembly is used for collecting Raman scattering light generated by the sample to be detected under laser irradiation based on the microstructure enhanced optical fiber, and the optical fiber end face of the microstructure enhanced optical fiber is provided with a micro-nano structure; the geometric parameters of the micro-nano structure are determined by global optimization by using the genetic algorithm to maximize the coupling efficiency of the unpolarized diffused light in a preset wavelength range as an optimization target; and the control analysis assembly is used for carrying out signal acquisition from the collected Raman scattering light and identifying component information corresponding to the to-be-detected sample through a preset component identification model based on a signal acquisition result.

The invention belongs to the technical field of communication, and provides a communication optical cable state real-time online monitoring method and system. Calculating the vibration displacement of the optical cable based on the original back scattering light signal, and calculating the real strain and temperature of the optical cable based on a Brillouin scattering signal and a Raman scattering signal obtained by separating the original back scattering light signal; carrying out filtering, denoising, normalization and time-space alignment processing on the vibration displacement of the optical cable, the real strain of the optical cable and the temperature, and binding the vibration displacement and the real strain with the obtained geographic coordinates; obtaining time domain, frequency domain and time-frequency domain features based on the preprocessed vibration displacement, real strain and temperature data to form a multi-dimensional feature vector, inputting the feature vector into a pre-trained event recognition model, and outputting an abnormal event classification result; and judging and triggering abnormal event early warning based on an output result of the event recognition model and a preset dynamic threshold.

The invention relates to the technical field of intelligent drug crystal form analysis, in particular to an intelligent drug crystal form analysis system based on model driving, which comprises a Raman scattering chart construction module, an intelligent crystal form characteristic peak analysis module and an intelligent crystal form identification closed-loop verification module, and is characterized in that the Raman scattering chart construction module is used for constructing a Raman spectrum chart; the crystal form characteristic peak intelligent analysis module judges whether the characteristic peak is a crystal form characteristic peak or not, and defines a crystal form characteristic pattern; peak position and peak intensity weight coefficients are set, comprehensive matching degrees are calculated in sequence, and drug crystal forms of characteristic peaks in the crystal form characteristic pattern are judged; the crystal form intelligent identification closed-loop verification module is used for establishing a crystal form analysis model, judging the crystal form type when the crystal form of the medicine cannot be identified, adjusting a method for judging a crystal form characteristic peak in the crystal form characteristic peak intelligent analysis module, adjusting a peak position and a peak strength weight coefficient according to the crystal form type, and calculating the comprehensive matching degree of the medicine again; and if the crystal form of the medicine still cannot be identified, outputting an unrecognizable signal.

The invention discloses a pesticide residue quantitative analysis system based on Raman spectrum, and relates to the technical field of analytical chemistry and detection.The pesticide residue quantitative analysis system comprises an acquisition module, a processing module, an analysis module and a regulation and control module, the acquisition module is used for acquiring samples and Raman scattering signals, converting the Raman scattering signals into original spectrum data and transmitting the original spectrum data to the processing module; calibrating the original spectrum data, acquiring calibrated spectrum data, transmitting the calibrated spectrum data to an analysis module, comparing the calibrated spectrum data with a pesticide standard spectrum library, outputting a quantitative analysis result of pesticide residues, transmitting the quantitative analysis result to a regulation and control module, storing the pesticide standard spectrum library and the calibrated spectrum data, and correcting sample detection deviation by using the calibrated spectrum data. And through the regulation and control unit, full-process automatic operation from sample processing to result output is realized, the detection reliability is improved through spectrum compensation and characteristic peak comparison, efficient automation is realized through task scheduling and time sequence synchronization, and hardware fault tolerance, authority management and multi-scene adaptation capabilities are realized.

The invention provides a method for detecting PFAS based on a three-dimensional Ag / NiFe-LDHs surface enhanced Raman scattering substrate and ion pair extraction, and belongs to the technical field of PFAS detection.The method comprises the steps that firstly, the three-dimensional Ag / NiFe-LDHs SERS substrate is prepared, then ion pair extraction-dissociation treatment is conducted on a water sample to be detected, a detection solution is obtained, finally, the substrate is immersed in the detection solution for adsorption, and finally the detection solution is obtained. A spectrum is collected through a Raman spectrometer, and semi-quantitative detection of PFAS in a water sample is achieved according to the linear relation between the characteristic peak intensity and the PFAS molar concentration logarithm. According to the method, collaborative application of the three-dimensional Ag / NiFe-LDHs SERS substrate and an ion pair extraction technology and indirect detection of PFAS are realized, the detection difficulty that PFAS Raman signals are weak and are difficult to enrich is improved, the detection sensitivity and adaptability of PFAS in a water sample are improved, and an application foundation is laid for rapid monitoring of PFAS pollution of an environmental water body.

The invention belongs to the technical field of gas analysis, and relates to a surface-enhanced Raman scattering flexible substrate material as well as a preparation method and application thereof. The surface-enhanced Raman scattering flexible substrate material comprises a three-dimensional network structure and silver nanoparticles, the three-dimensional network structure is composed of hydroxypropyl methyl cellulose nanofibers, the silver nanoparticles are wrapped in the hydroxypropyl methyl cellulose nanofibers, and the silver nanoparticles are of a polyhedral structure. The surface-enhanced Raman scattering flexible substrate material is used for detecting thiol compounds in a solution, and the detection limit can reach 10 <-19 > M level; after the surface of the silver nanoparticle is modified with the probe, the material can detect trace substances in exhaled air. In addition, after the material is stored for 6 months at room temperature, the SERS signal intensity attenuation is less than or equal to 4%, and the relative standard deviation detected by 20 random sites is only 4.04%.

A sensor module for Raman spectroscopy includes a sensor package which encloses an application specific integrated circuit (ASIC), a light emitter arrangement, a light detector arrangement and a filter arrangement. The light emitter arrangement is electrically connected to the ASIC and operable to emit light with multiple excitation wavelengths to excite Raman scattering in an external probe to be placed outside of the sensor module. The light detector arrangement is operable to generate sensor signals from incident light emitted back from the external probe due to the Raman scattering. The filter arrangement is operable to filter the incident light according to a target passband. The ASIC is operable to drive the light emitter arrangement at the excitation wavelengths to shift a Raman spectral band of the external probe into the passband of the filter arrangement.

The invention relates to the technical field of subkeys and communication, discloses a quantum key distribution and wavelength division multiplexing cooperative scheduling method for a metropolitan optical network, and aims to solve the problems of insufficient key rate and classic service quality reduction caused by mutual interference of quantum signals and classic services in a shared optical fiber. The method comprises the following steps: modeling Raman scattering and crosstalk noise between quantum and classical signals; constructing a joint optimization model which aims at minimizing classic service degradation and ensures that the quantum key rate is not lower than a threshold; solving wavelength, power and routing allocation by combining mixed integer programming and an intelligent algorithm; the key generation window and the reconfiguration wavelength are dynamically scheduled based on the service load prediction; according to the technical scheme, dual optimization of safety performance and network resource utilization efficiency can be realized.

The invention discloses a combustion field temperature measurement method and device based on a Raman vibration conversion spectrum, and the method comprises the steps: extracting an equipment instrument function through a cold flow nitrogen spectrum, and carrying out the convolution of a nitrogen theoretical spectrum data set through the instrument function, thereby obtaining a synthetic spectrum; synthesizing a monotonic function curve of the spectral band intensity ratio along with the temperature change through nonlinear fitting; raman scattering light generated by the measurement area is obtained; converting the generated Raman scattering light into a spectral signal; processing the spectral signal, and extracting a nitrogen Raman Stokes signal spectral band intensity ratio after asymmetric Voigt function fitting; and substituting the band intensity ratio into the monotonic function curve, and carrying out back calculation to obtain a temperature measurement result. According to the method, related characteristic information of the Raman vibration-rotation spectrum and the temperature is utilized, and the asymmetric Voigt function is combined to carry out fine fitting on the Raman spectrum, so that the limitation of the existing temperature measurement technology is overcome, and more accurate and quicker combustion field temperature measurement is realized.

A cap having a closed end and one or more openings is attached to the tip of an optical Raman probe sensor. The cap serves to block stray light noise from entering the tip of the sensor. In this way, Raman spectra may be more accurate and consistent. Further, the cap may be permanently affixed or removably attached to the sensor. In some embodiments, a reflective surface may be included on the interior surface of the closed end of the cap. This reflective surface may reflect Raman scattering light toward the tip, enhancing the received signal by a factor of 2 to 100.

The invention discloses a spectral analysis device and method for gas Raman scattering of a hollow-core optical fiber, and belongs to the technical field of gas analysis sensing. The spectrum analysis device comprises a laser, a light beam coupling device, a hollow-core optical fiber gas sample chamber, a collecting device and a spectrograph which are sequentially arranged along a light path, the light beam coupling device is used for coupling excitation laser generated by the laser into the hollow-core optical fiber gas sample chamber; to-be-detected gas flows in the hollow-core optical fiber gas sample chamber, excitation laser is conducted, and a transmission light beam containing the excitation laser and Raman scattering light is output; the collecting device is used for separating excitation laser in the transmission light beam and outputting a light beam only containing Raman scattering; a small round hole is formed in an inlet of the spectrograph, spatial filtering is carried out, and the luminous flux lost when a light beam enters the spectrograph is reduced; and the spectrometer receives the Raman scattering to obtain the Raman spectrum of the gas to be detected. The luminous flux lost when the light enters the spectrograph is reduced, the light beam collection efficiency is improved, and the signal-to-noise ratio and the analysis sensitivity are improved.

The invention discloses an Ag-TiO2-Ag surface enhanced Raman scattering substrate, preparation thereof and application of the Ag-TiO2-Ag surface enhanced Raman scattering substrate in antibiotic residue detection or degradation, and belongs to the technical field of material preparation and analysis detection. The preparation method of the substrate comprises the following steps: (1) preparing a tetrabutyl titanate-ethanol mixed solution and a silver nitrate-ethanol-nitric acid mixed solution, regulating the molar ratio of Ag to Ti, and then carrying out hydrolysis reaction; (2) carrying out hydrothermal reaction and vacuum drying on the hydrolysis product to obtain a precursor; and (3) carrying out roasting treatment on the precursor, so as to obtain the Ag-TiO2-Ag SERS substrate. The prepared substrate can realize high-sensitivity detection of quinolone antibiotics in a water body, the detection limit reaches 10 <-11 > mol / L level, meanwhile, the substrate has photocatalytic degradation capacity, and the degradation rate within 60 minutes exceeds 90%. The method adopts a conventional process, does not need special equipment, and is suitable for industrial large-scale production and environmental pollutant detection and treatment.

A surface-enhanced Raman scattering substrate, including: a base layer; a nanopillar structure layer, which is formed on the base layer by means of nanoimprint lithography, and has a nanopillar array structure; and a thin film, which covers and is formed, by means of an oblique deposition evaporation process, on the top of the nanopillar array structure and at least one vertical side wall of the nanopillar array structure, wherein the thin film has a surface-enhanced Raman scattering effect and has an oblique angle.

The invention relates to an agricultural product pesticide residue monitoring method, device, equipment and medium, and relates to the technical field of agricultural product pesticide residue monitoring, and the method comprises the following steps: carrying out laser scanning on the surface of an agricultural product sample to obtain a Raman scattering light signal, and carrying out photoelectric conversion to obtain a spectrum electric signal; performing noise filtering and background deduction on the signal to obtain a baseline correction spectrum, and identifying and marking spectrum peaks to form a characteristic spectrum peak set; based on matching of the set and a Raman spectrum database, pesticide type identification is determined, quantitative regression calculation is carried out according to the pesticide type identification, and a concentration prediction value is obtained; a concentration prediction value is compared with a standard limit value, a residual grade mark is generated through dynamic threshold calculation, category correction and risk calibration, and a corresponding grading treatment decision mechanism is triggered, so that the problems of spectral background drift and significant noise interference caused by complex agricultural product surface components and serious matrix interference in the existing method are solved. And accurate extraction of the characteristic peak is influenced.

The invention discloses an antibiotic pollution self-adaptive detection method based on fluorescence spectrum overlapping degree evaluation. The method comprises the following steps: firstly, carrying out baseline removal, Raman scattering deduction and inner filter effect correction on original excitation-emission matrix (EEM) data; then, determining a scattering area, evaluating the fluorescence intensity gradient, the distribution characteristic and the spectrum shape matching degree in the scattering area, quantifying to obtain an overlapping degree index, and adaptively selecting and implementing a scattering processing strategy based on the overlapping degree index: adopting an interpolation method for a low overlapping condition; for a high overlapping condition, performing fine processing by using an iterative fitting-subtraction method or a deep learning model; and finally, smoothing and standardizing the processed EEM data, and outputting a high-quality fluorescent fingerprint spectrum for antibiotic component identification and qualitative and quantitative analysis. According to the method, effective antibiotic fluorescence information can be reserved to the maximum extent, scattering interference is effectively removed, and the accuracy and reliability of antibiotic pollution detection are remarkably improved.

The invention discloses a nano-enzyme-SERS (Surface Enhanced Raman Scattering) bifunctional sensor for detecting colorectal cancer markers with high sensitivity as well as a preparation method and application of the nano-enzyme-SERS bifunctional sensor. The preparation method comprises the following steps: coating a layer of platinum (Pt) on the surface of gold nanoparticles (AuNPs) by utilizing a chemical reduction method so as to form gold-platinum nanoparticles (Au (at) Pt NPs); assembling the synthesized Au (at) Pt NPs into an aminated capillary tube through electrostatic adsorption, so as to prepare a capillary tube SERS (Surface Enhanced Raman Scattering) substrate; the surface of Au (at) Pt NPs is modified with a marker aptamer through an Au-S bond, and the nano enzyme-SERS dual-function sensor is prepared. In the presence of hydrogen peroxide (H2O2), the Au (at) Pt NPs can catalyze the oxidation of 3, 3 ', 5, 5'-tetramethyl benzidine (TMB) to generate oxidized TMB (oxTMB) with a strong SERS (Surface Enhanced Raman Scattering) signal. When Hcy exists, the reductive sulfydryl of Hcy consumes hydroxyl free radicals (. OH) generated by H2O2 decomposition, so that TMB oxidation is inhibited, and SERS signal intensity is weakened. A linear regression equation of the logarithm of the Hcy concentration and the signal intensity is drawn according to the SERS signal intensity, so that quantitative detection of the Hcy is realized.

The invention discloses an enhanced Raman scattering substrate for chiral molecule detection and a preparation method, and relates to the technical field of spectral analysis and chiral recognition. Chiral cysteine is induced at the core of the gold nanorod to form a spiral chiral gold-silver alloy layer and then wraps the zirconium-based metal organic framework, the synthesized chiral gold rod (at) MOF material has excellent LPSR effect and chiral electromagnetic field, and the MOF layer on the surface can well adsorb molecules to be detected to enter a plasma hot spot area. The Raman substrate is excellent in SERS performance. According to the composite material, through the dual effects of molecular enrichment and electromagnetic enhancement, enantiomers are distinguished directly through SERS intensity, and labeling or catalytic conversion is not needed.

The invention provides a distributed optical fiber temperature measurement method and device, electronic equipment and a storage medium, and belongs to the technical field of optical fiber detection. Multi-dimensional data acquisition including light source power fluctuation data, detector dark current data, optical fiber loss distribution data and environment temperature and humidity data is realized; preprocessing the collected multi-dimensional data, constructing a light source power drift model and a detector sensitivity drift model, and fitting model parameters; and calculating a corresponding error correction coefficient based on the light source power drift model and the detector sensitivity drift model, correcting the ratio of anti-Stokes light intensity to Stokes light intensity of Raman scattering in combination with a dynamic correction result of an optical fiber attenuation coefficient by environment temperature and humidity data, and outputting calibration temperature data. Therefore, on the basis of the Raman scattering technology, light source power fluctuation and detector sensitivity drift core errors are eliminated through a multi-dimensional error compensation model, and the temperature measurement precision is improved.

The invention belongs to the technical field of biomedical detection, and discloses a Raman spectrum analysis device for quantitative detection of hematologic tumor markers, which comprises a blood collection centrifugal unit with a self-adaptive load regulation mechanism for monitoring blood density and components in real time, centrifugal force and time parameters are automatically adjusted according to the blood density and components; the optical fiber Raman spectrometer is provided with an automatic wavelength calibration system, and an ultrafast laser pulse transmitter and a high-sensitivity photon counting detector are integrated on the optical fiber Raman spectrometer. Raman scattering signals are enhanced by adopting a quantum entanglement light source and a nonlinear optical crystal; according to the invention, the detection capability on low-concentration tumor markers can be obviously improved. Due to the improvement, the device can accurately detect the existence of the tumor marker at the early stage of cancer, and powerful support is provided for early treatment of a patient.

The invention discloses a cable joint discharge monitoring system, which comprises a sensing layer, a data fusion layer and an analysis layer, and also discloses a cable joint discharge monitoring method, which comprises the following steps: monitoring the high-frequency current of a cable joint, acquiring a back Raman scattering signal of laser in a distributed optical fiber by an optical time domain reflection demodulation unit, obtaining the temperature of a measuring point, and monitoring the temperature of the cable joint. The analysis layer judges whether the temperature exceeds a temperature warning value or not, judges whether a high-frequency current pulse from the high-frequency current sensor is greater than a high-frequency current pulse warning value or not when the temperature exceeds the temperature warning value, and establishes a three-dimensional temperature field according to the temperature of the measuring point when the high-frequency current pulse is greater than the high-frequency current pulse warning value; the method comprises the following steps: acquiring a three-dimensional temperature field, performing spatio-temporal data alignment on the three-dimensional temperature field and high-frequency current acquired by a high-frequency current sensor, generating an abnormal region thermodynamic diagram, judging whether time and temperature data after alignment have interference or not, and performing three-dimensional positioning on a defective region and evaluating the severity of the defective region by an analysis layer when the interference does not exist.

The invention provides a preparation method and application of a high-sensitivity imprinted membrane for selectively detecting microcystic toxins (MC-LR) in water based on surface enhanced Raman scattering. The preparation method comprises the following steps: step 1, preparation of silver nanocubes; step 2, preparation of Ag NCs-coated TiO2 nanoparticles; step 3, preparation of an Ag NCs-coated TiO2 / PDMS composite membrane; according to the invention, a membrane technology, an SERS technology and MIT are combined, so that the prepared product has excellent physical and chemical properties of a PDMS membrane, high sensitivity of an SERS detection technology and high selectivity of MIT; the invention provides a new method for SERS detection and widens the application range.

The invention discloses an SERS (Surface Enhanced Raman Scattering) substrate based on a functionalized gold nano bipyramid (at) covalent organic framework as well as a preparation method and application of the SERS substrate, and belongs to the technical field of analysis and detection. The SERS substrate comprises a carrier and an AuNBPs (at) COF composite material loaded on the carrier, the AuNBPs (at) COF composite material comprises a gold nano bipyramid located in a core and a COF shell layer wrapping the gold nano bipyramid, the COF shell layer can efficiently enrich DA molecules and separate matrix impurities, and AuNBPs plays a role in SERS signal enhancement. According to the collaborative design of AuNBPs enhancement-COF recognition, the problems that the saxitoxin content is low, background interference is complex, and domoic acid toxin is difficult to efficiently separate and enrich from a complex sample are solved, the limitation of insufficient SERS activity of a pure COF material is broken through, and a novel sensing platform with high sensitivity and excellent selectivity is provided for marine toxin detection.

The invention belongs to the technical field of substance detection, and particularly provides application of a chiral Ag / Bi6S2O15NWs composite film with SERS (Surface Enhanced Raman Scattering) activity in detection of ergothioneine. According to the invention, the silver nanowires are assembled into the thin film by using a Langmuir-Blodgett (LB) technology, and a simpler detection method based on SERS (Surface Enhanced Raman Scattering) is developed. The stability and SERS (Surface Enhanced Raman Scattering) performance of the chiral film are further improved by utilizing the coating of the bismuth-based nanowires (Bi6S2O15NWs). The SERS substrate is used for detecting natural L-amino acid EGT with antioxidant and anti-inflammatory effects, and the detection limit of the SERS substrate is 0.248 mu g / mL. The method provides a novel, efficient and sensitive method for detecting EGT in cosmetics, and supports product development and quality control.

The invention provides an SERS (Surface Enhanced Raman Scattering) sensing chip with a conical periodic array structure as well as a preparation method and application of the SERS sensing chip. The SERS sensing chip with the conical periodic array structure comprises a conical periodic array structure substrate, a metal layer, a hollow dielectric layer and a metal nanoparticle layer which are sequentially stacked. The SERS sensor chip has the advantages of high enhancement performance, high detection sensitivity, uniform detection signals and the like, and is widely applied to the fields of environment detection, food safety, industrial production, human health detection and the like.

The application belongs to the technical field of chemical detection, and particularly relates to a Raman-LIBS-mass spectrometry combined analysis device and analysis method. The Raman-LIBS-mass spectrometry combined analysis device comprises a multiple-reflection time-of-flight mass spectrometer, a LIBS spectrometer, a Raman spectrometer and a shared module. The shared module comprises a first incident light path system, a second incident light path system, a high-definition observation system, a vacuum sample bin, a vacuum system and a control system. The first incident light path system is used for generating a femtosecond laser beam and performing three-dimensional ablation on a sample. The second incident light path system is used for combining tunable lasers into a resonance ionization light path. Compared with the prior art, the application can realize in-situ micro-area ultra-high resolution element and isotope analysis and imaging, realize ultra-trace element, isotope analysis and isotope ratio analysis under strong matrix interference, and can also perform high-resolution molecular structure and composition analysis and Raman scattering imaging.

The invention discloses a preparation method of a gold-silicon SERS (Surface Enhanced Raman Scattering) substrate based on femtosecond laser processing and application of a micro-fluidic chip adopting the gold-silicon SERS substrate prepared based on femtosecond laser processing in capture and detection of cancer cells. The base preparation method comprises the following basic steps: S1, processing a micro-pit array on the surface of a silicon wafer through femtosecond laser processing; s2, electrochemically depositing a gold nano spine-shaped structure at the micro-pit array after femtosecond laser processing to prepare an SERS substrate; s3, testing the SERS performance of the substrate; and S4, incubating the substrate aptamer and capturing cancer cells. According to the gold-silicon SERS substrate based on femtosecond laser processing, SERS signals of an object to be detected can be remarkably improved, a large specific surface area is provided, and more detection sites are provided for molecules to be detected. Besides, the micro-pit array and the surface nano spine structure of the SERS substrate can effectively capture the cancer cells, a new method is provided for capturing and detecting the cancer cells, and the SERS substrate has great significance in early screening and diagnosis of human prostate cancer and analysis and research of heterogeneity of the cancer cells.