533 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 provides a comprehensive pipe gallery structure health monitoring system based on distributed optical fiber sensing, and relates to the technical field of engineering detection, and the system comprises a laying module which is used for laying an optical fiber sensing optical cable with waterproof and anti-corrosion performances in a pipe gallery structure, setting a positioning reference point and a coordinate calibration reference point in the central area of the tops of the two ends of a pipe gallery, and setting a positioning reference point and a coordinate calibration reference point; a linear reference system covering the length of the whole pipe gallery is constructed; and the acquisition module is used for connecting the optical fiber sensing optical cable with the distributed optical fiber temperature measuring device and the distributed optical fiber strain device, and acquiring temperature distribution data and strain distribution data in the pipe gallery based on Raman scattering and Brillouin scattering principles to form a monitoring data set. According to the invention, the temperature and strain multi-dimensional data of the pipe gallery are collected in real time through the distributed optical fiber sensing technology, and the structure health monitoring is realized in combination with redundancy monitoring, dynamic compensation and an intelligent early warning mechanism.

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 relates to the field of optical fiber optics, in particular to a distributed optical fiber temperature measurement system based on Raman scattering, which comprises an optical signal excitation and separation module, a signal acquisition and preprocessing module, a temperature resolving module, a calibration and correction module, a real-time monitoring and early warning module and a management database, the system performs digital accumulation noise reduction on scattering signals through separation of Stokes light and anti-Stokes light, real-time monitoring of optical power and division of spatial positions, generates a temperature distribution curve through temperature calculation and determination of the spatial positions corresponding to the temperatures, generates calibration coefficients through selection of constant-temperature reference points and fitting of a temperature deviation curve, and performs calibration on the scattering signals. The temperature is corrected, a calibration curve is calibrated, meanwhile, light intensity attenuation is compensated, and the light temperature can be accurately measured and early warning can be carried out in time by setting multi-stage temperature early warning threshold values and monitoring temperature abnormal points.

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 the technical field of marine environment remote sensing monitoring, and discloses a marine ecological environment monitoring system based on satellite remote sensing. And the receiving unit synchronously acquires vertical sections of four paths of returned signals of co-polarization elastic scattering, cross-polarization elastic scattering, laser-induced fluorescence and water body Raman scattering. A data processing unit establishes a collaborative inversion framework integrated with multiple physical constraints, and the core of the collaborative inversion framework is to construct a cost function comprising an observation constraint term and a Raman optical closed collaborative constraint term. The function is solved through an iterative optimization algorithm, and vertical sections of ecological parameters such as phytoplankton and suspended solids are inverted. According to the method, the Raman signal is taken as a physical reference, the forced inversion result is self-consistent in optics, the ill-conditioned problem in traditional inversion is effectively solved, and the accuracy and reliability of three-dimensional profile monitoring of the marine ecological environment are remarkably improved.

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 discloses an in-situ detection device and system for dissolved gas in insulating oil. The device comprises an oil chamber, a pipe body and an oil-gas separation structure. An oil inlet is formed in the wall face of the oil chamber, and two oppositely-arranged lenses are further arranged on the wall face of the oil chamber. The pipe body is arranged in the oil chamber, two ends of the pipe body are respectively hermetically connected to the two lenses, and holes are formed in the side part of the pipe body. And the oil-gas separation structure is used for separating dissolved gas from the insulating oil and enabling the dissolved gas to enter the pipe body from the holes. After the oil inlet of the oil chamber is communicated with the oil sampling valve of the to-be-detected oil-immersed power equipment, insulating oil enters the oil chamber, and dissolved gas in the insulating oil is separated by the oil-gas separation structure and enters the pipe body from the hole, so that the dissolved gas interacts with laser emitted into the pipe body from a lens, and the laser is emitted into the pipe body from the lens. A Raman scattering signal capable of reflecting the concentration of each component of the gas is generated and is transmitted to the other lens through the tube body to be ejected out for detection, so that the in-situ high-sensitivity detection of the dissolved gas in the insulating oil is realized.

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.

According to the distributed fiber grating sensor provided by the invention, the optical pulse and the broadband laser are emitted in a time-sharing manner through the integrated composite light source module, and the cooperative monitoring of Raman scattering temperature measurement and Bragg grating stress measurement is realized on the same sensing optical fiber in combination with the optical path design of the wavelength division multiplexer and the optical circulator. According to the scheme, the high-temperature adaptability of the Raman scattering effect, namely a stable linear relation between molecular vibration frequency shift and temperature, is utilized, signals and stress are completely decoupled, the problem of cross sensitivity of a traditional single sensor is avoided, and independent measurement can be achieved without temperature compensation; meanwhile, a distributed measurement mode enables the sensor to still perform high-precision synchronous monitoring on temperature and stress in a high-temperature environment of 600-900 DEG C, so that the measurement process in an industrial complex scene is simplified, and the system reliability is improved.

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.

Methods and systems for obtaining biochemical and / or structural information relating to tissues using Raman spectroscopy. Polarised light is directed to tissue using a probe. The light is reflected from the tissue, producing Raman scattering. The Raman scattering is collected by the system and split into two polarised components. The two polarised components are simultaneously imaged using a spectrometer to produce two Raman spectra. The Raman spectra are then processed and analysed using a computer program to obtain biochemical and / or structural information relating to the tissue.

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.

The invention relates to the technical field of optical fiber sensing, in particular to a distributed optical fiber vibration-temperature combined monitoring method and system. Comprising the following steps: carrying out linear frequency modulation on single-frequency light waves output by a light source to enable the single-frequency light waves to serve as probe light for distributed vibration and distributed temperature sensing at the same time; linear sweep frequency light is injected into an optical fiber to be measured, and Rayleigh scattering and Raman scattering light signals in the optical fiber are separated by using a wavelength division multiplexer. And the vibration information of each point along the optical fiber is recovered by combining a Rayleigh scattering light signal with a coherent detection architecture through algorithms such as back-end matched filtering and the like. And the Raman scattering light signal is combined with intensity detection and a dual-wavelength difference algorithm, so that the temperature information of all optical fiber lengths can be recovered. According to the invention, vibration and temperature measurement is realized in the same system, and the problems of temperature and vibration measurement time synchronization, sampling rate alignment and the like in different systems are avoided.

The invention discloses a surface-enhanced Raman detection method based on laser-induced deposition, and belongs to the technical field of micro-nano particle deposition and detection. According to the method disclosed by the invention, the gold nanoparticles and the to-be-detected particles are driven to be enriched and precisely deposited to a target area by utilizing laser local heating, and Raman detection is synchronously carried out, so that high-sensitivity detection on trace substances is realized. According to the method, the problems of uneven particle deposition, uncontrollable signal enhancement and the like in the traditional surface enhanced Raman scattering substrate preparation are solved, meanwhile, the requirement of an extra laser source in a traditional detection method is avoided, and integration of laser deposition and detection is realized.

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 present invention relates to a method and an apparatus for measuring surface-enhanced Raman scattering. The present invention provides an apparatus for measuring surface-enhanced Raman scattering, comprising: a Raman scattering measurement unit capable of detecting an optical signal resulting from incident light in a plurality of polarization states applied to a sample including nanoparticles enabling surface-enhanced Raman scattering measurement; a spectrometer for generating a spectral signal by spectroscopically analyzing the optical signal detected by a detector of the Raman scattering measurement unit; and a correction value calculation unit for calculating a correction value for the spectral signal, on the basis of the spectral signal resulting from irradiation with light in the plurality of polarization states.

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.