718 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 gas monitoring, and discloses an air quality monitoring method based on an olfactory chip, which comprises the following steps: step 1, preparing a multi-modal sensor system which comprises an olfactory chip module, a surface enhanced Raman scattering module and a microfluidic time division multiplexing module, the sensor surface of the olfaction chip module is modified with a metal organic framework material, and the substrate of the surface enhanced Raman scattering module is made of a core-shell structure nano material; and 2, synchronously collecting resistance response data of the olfaction chip module, spectral data of the surface enhanced Raman scattering module and temperature, humidity and wind speed data of the environment sensor. According to the invention, a multi-modal sensor cooperative detection technical scheme is adopted, the high-sensitivity detection effect on low-concentration harmful gas in air is achieved, and compared with a technical scheme of a single sensor and a fixed fusion algorithm in the prior art, the defect that accurate recognition of trace gas cannot be realized under ppb-level concentration is overcome.

The invention discloses a dynamic geological survey system and a construction simulation method. The dynamic geological survey system comprises an intelligent sensing and data acquisition module and a multi-source data fusion processing module, the intelligent sensing and data acquisition module comprises a Raman scattering optical fiber strain sensor array, a three-component seismometer monitoring network and a distributed optical fiber pressure sensing subsystem; the Raman scattering optical fiber strain sensor array, the three-component seismometer monitoring network and the distributed optical fiber pressure sensing subsystem form a multi-dimensional sensing network for shield construction geological monitoring. By means of the integrated intelligent sensing and data acquisition module, geological changes in the shield construction process can be monitored. The Raman scattering optical fiber strain sensor array, the three-component seismometer monitoring network and the distributed optical fiber pressure sensing subsystem jointly form a multi-dimensional sensing network, geological strain, microseismic events, pore water pressure and other key information can be captured, and comprehensive geological data support is provided for construction.

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 discloses an edge calculation optimization and compression algorithm based on distributed optical fiber sensing data, and the algorithm achieves the full-section continuous monitoring of an embankment through the layering burying of a distributed optical fiber network along the axis of the embankment, and eliminates the blind area of a conventional point sensor. Strain data and temperature data are analyzed by using Brillouin scattering and Raman scattering, time sequence characteristics are analyzed through an LSTM neural network, and piping and crack hidden dangers are identified. External environment parameters such as water level and rainfall are fused to construct a multiple regression model, and the seepage risk level is evaluated. Through combination of BIM three-dimensional modeling and a seepage simulation algorithm, hidden dangers are accurately positioned, and spatial distribution of the hidden dangers is visualized. Based on edge calculation optimization, a data compression technology is adopted to reduce transmission requirements, a self-repairing material injection and high-pressure plugging scheme is triggered through a grading early warning system, closed-loop management from monitoring to repairing is formed, the real-time performance and accuracy of hidden danger recognition are improved, and efficient and reliable monitoring support is provided for dike engineering.

The invention provides a flexible HP-ZIF-67 (at) Au surface enhanced Raman scattering substrate for multi-phase detection of volatile organic gas and pesticide residues, and a preparation method and application thereof, and belongs to the technical field of volatile organic gas and pesticide residue detection. The preparation method comprises the following steps: preparing a polystyrene microsphere template by taking polyvinylpyrrolidone, styrene and potassium persulfate as raw materials, then adding 2-methylimidazole and cobalt nitrate to obtain HP-ZIF-67 particles, dispersing the HP-ZIF-67 particles on an aluminum foil to obtain an HP-ZIF-67 substrate, and continuing to diffuse and deposit a gold nanoparticle layer to obtain the flexible HP-ZIF-67 (at) Au surface enhanced Raman scattering substrate. The flexible HP-ZIF-67 (at) Au surface enhanced Raman scattering substrate provided by the invention has the advantages of stable process, high sensitivity and multiphase detection, and a novel composite material is provided for volatile organic gas and pesticide residue detection.

The invention discloses a paclitaxel drug resistance SERS (Surface Enhanced Raman Scattering) substrate and a detection method. Belongs to the technical field of drug resistance detection. The SERS substrate is mixed with ultrapure water after centrifuging a silver nanoparticle-sodium citrate suspension, and the mixture is dropwise added to a silicon wafer and dried to form a coffee ring structure. During detection, cancer tissue crushing liquid is dropwise added to the center of the substrate, SERS signals are collected through a Raman spectrometer and compared with a pre-established drug resistance / sensitivity spectrum database, and drug resistance is judged according to characteristic peaks at 820 cm <-1 >, 1180 cm <-1 >, 1270 cm <-1 > and 1450 cm <-1 >. The method is easy and convenient to operate, short in detection time (within 10 minutes), high in sensitivity and suitable for rapid screening of paclitaxel drug resistance of breast cancer patients.

The invention relates to a Raman nondestructive testing system for cultural heritage based on a cooling device. Comprising a vacuum chamber, and the vacuum chamber is used for placing a sample and receiving Raman scattering signals generated by the light inlet module penetrating through the vacuum chamber, irradiating the surface of the cultural relic sample and exciting the sample; the cooling device module is connected with the vacuum chamber and is used for efficiently cooling the vacuum chamber and preventing the cultural relic sample from being damaged by a laser heat effect; the control and data processing module is used for monitoring and adjusting the laser power, the chamber pressure and the temperature of the sample table in real time, analyzing the collected Raman spectrum data and outputting a detection result; the laser energy density at the sample can be effectively reduced, and the cultural relic sample is prevented from being damaged due to strong light focusing irradiation; meanwhile, efficient collection of Raman signals in a large light spot range is achieved through the beam expander and the signal collection module, and the problem that the signal strength is weakened is solved.

The invention discloses a preparation method of Au (at) Au (at) Ag / Pt / M NPs and application of the Au (at) Au (at) Ag / Pt / M NPs in klebsiella pneumoniae detection, and belongs to the technical field of analysis and detection. The invention particularly relates to development of a signal probe and combination and assembly of the signal probe and lateral flow immunochromatography (LFIA) for klebsiella pneumoniae detection. Au (at) Au (at) Ag / Pt / MNPs is a multi-element noble metal nanoparticle with plasma resonance property, peroxidase-like activity and light stability, shows strong detection potential in three modes of colorimetric (CM), catalytic colorimetric (CL) and surface enhanced Raman scattering (SERS), and is loaded into LFIA to construct a multi-mode LFIA (CM / CL / SERS-LFIA). The kit is expected to be used for direct multimode detection of klebsiella pneumoniae in clinical sputum samples, and a new early detection strategy is provided for respiratory tract infection diseases such as klebsiella pneumoniae.

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 discloses a Raman spectrum automatic focusing system and method for detecting a pathological tissue sample, and the system comprises a light source module which is used for generating laser with a preset wavelength so as to irradiate the pathological tissue sample; the automatic focusing module integrates a mechanical structure and an image recognition algorithm, and performs automatic focusing on the surface of the sample through a low-pass spectroscope, an objective lens, a focusing camera, a controller and a focusing execution mechanism; the spectrum analysis module is used for collecting and analyzing Raman scattering light generated by interaction of the focused exciting light and the pathological tissue sample on the basis of a Raman spectrum analyzer, and by integrating the stable light source, the automatic focusing module, the spectrum analysis module and the data processing module, rapid, accurate and automatic detection of the pathological tissue sample is achieved; the method has the advantages of simplicity and convenience in operation, high detection speed, high resolution, high automation degree and the like, is widely applied to the fields of clinical pathological detection, biomedical research and the like, and provides powerful support for disease diagnosis.

The invention discloses an optical probe of a closed space lithium battery thermal runaway gas real-time spectrum monitoring system, and the optical probe comprises a laser, Raman scattering light emitted by the laser is emitted in parallel through a collimating mirror, enters a narrow band filter, is reflected by a plane mirror, enters a dichroscope for refraction, and is reflected by a light source. The target detection objective lens gathers on a detected target; raman scattering light returned by the detected target passes through an objective lens target detector and a dichroscope, is modulated by a long-wave-pass optical filter, and is converged into an optical fiber receiving end through a Raman scattering light collecting mirror to enter a spectrograph system. The Raman spectrum technology is applied to monitoring gas component changes in the electrochemical reaction process when the lithium battery is charged and discharged in the closed space, and the lithium battery thermal runaway real-time monitoring based on the Raman spectrum technology can provide a guarantee for the thermal runaway risk in the transportation and storage process of the lithium battery.

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 belongs to the technical field of biological detection, particularly relates to a gold nano pumpkin array, and relates to an SERS (Surface Enhanced Raman Scattering) sensor of a gastric precancerous lesion biomarker as well as a preparation method and application thereof. The preparation method of the gold nano pumpkin arrays (Au NPAs) comprises the steps that a PS single-layer template is obtained through a gas-liquid interface self-assembly technology, the PS single-layer template is sequentially subjected to plasma etching technology treatment, annealing treatment and ion sputtering treatment, and the gold nano pumpkin arrays (Au NPAs) are obtained. The SERS sensor and the SERS microarray chip constructed on the basis of the gold nano pumpkin array show excellent chemical stability, high molecular specificity and excellent reproducibility, ultra-trace detection of gastric cancer precancerous lesion biomarkers miR-196b and miR-221 is realized, and technical support is provided for early discovery, timely intervention and treatment of GC (Gas Chromatography).

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 discloses an SERS (Surface Enhanced Raman Scattering) substrate for solution in-situ rapid detection as well as preparation and application thereof, and belongs to the technical field of substance detection. Comprising a substrate, a nanorod array film growing on the substrate, and metal nanoparticles deposited on the outer side surfaces of nanorods. The sensor has the advantages of portability of a solid substrate, strong plasmon resonance absorption in a broadband visible light region, strong surface enhancement effect and the like, and trace substances and microorganisms in a solution can be rapidly detected through the surface enhancement Raman effect; when substances in a solution are tested, pretreatment such as mixing, adsorption and drying is not needed, the limitation that in-situ detection of a traditional surface enhanced Raman base in the solution cannot be achieved is broken through, pretreatment-free in-situ and second-level ultrafast detection can be achieved, operation is easy, cost is low, and sensitivity is high. The problems that an existing SERS substrate is poor in stability and repeatability, and in-situ, ultrafast, trace and portable detection of substances in a solution cannot be achieved are solved.

The invention discloses a blue-green algae type discrimination method based on a three-dimensional fluorescence spectrum. The method comprises the following steps: S0, obtaining a to-be-detected sample; the method comprises the following steps: S1, acquiring original three-dimensional fluorescence spectrum data; s2, preprocessing the original three-dimensional fluorescence spectrum data; rayleigh scattering and Raman scattering in the original three-dimensional fluorescence spectrum are removed, and smooth denoising is carried out on the original three-dimensional fluorescence spectrum; s3, spectral features are extracted based on a parallel factor-peak ratio method, and spectral feature vectors are obtained; and S4, carrying out missing value supplement and data standardization processing on the obtained spectral feature vectors, inputting the processed feature vectors into a trained LightGBM multi-classifier, outputting probabilities by a classification model, and selecting a category with the maximum probability. According to the method, the distribution mechanism of the blue-green algae fluorescent pigment is combined, and the fluorescent component characteristics and the relative content characteristics of the fluorescent components of the blue-green algae are comprehensively considered, so that the three-dimensional fluorescence spectrum information of the blue-green algae sample can be more comprehensively, completely and meticulously represented, and the variety discrimination of different blue-green algae with smaller difference 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 provides a bifunctional nano-enzyme SERS (Surface Enhanced Raman Scattering) detection platform for ultrasensitively detecting mi RNA (Ribonucleic Acid) related to cerebral infarction and a preparation method, and relates to the technical field of biomedical engineering. The preparation method comprises the following steps: synthesizing gold nanorods (AuNRs) by using a seed growth method, and growing Pt on the surface of a product to prepare gold platinum nanorods (Au (at) Pt NRs); the preparation method comprises the following steps: synthesizing gold nano hexagonal plates (AuNHs) by using a seed growth method, and preparing an AuNHs array through oil-water interface self-assembly; and modifying an aptamer complementary chain (H1) on the Au (at) Pt NRs obtained in the step (1) through an Au-S bond. And combining the assembled AuNHs array with a nucleic acid aptamer (cDNA) corresponding to mi R-106a-5p to functionalize the assembled AuNHs array in the step (2), so as to construct an SERS (Surface Enhanced Raman Scattering) detection platform. The target mi R-106a-5p can be specifically combined with cDNA, so that Au (at) Pt NRs carrying H1 are separated from the surface of an AuNHs array, TMB oxidation is reduced, and SERS signals are remarkably reduced. And according to SERS signal intensity, substituting the SERS signal intensity into a linear regression equation to realize quantitative detection of mi RNA.

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 Raman spectrum, and relates to a gold nano array structure, a preparation method thereof and application of the gold nano array structure in SERS (Surface Enhanced Raman Scattering) trace detection. The preparation method comprises the following steps: dropwise adding a PDMS curing liquid on the surface of a first gold nanoparticle film taking a PVP film as a substrate, heating until PDMS is cured, cooling to a second temperature, removing PVP, carrying out gold evaporation, then heating to a third temperature to form a gold nano array with consistent gap size, dropwise adding a PVP solution on the surface, and tearing off the PVP film after the PVP solution is cured into the PVP film, so as to obtain the gold nano array with the uniform gap size. And the PVP thin film with the gold nano array is obtained and attached to a non-metal substrate, PVP is removed, and the gold nano array structure is obtained. According to the preparation method, hot spot distribution of the gold nano array structure can be optimized, the uniformity of hot spots can be improved, gaps of the gold nano array structure can be precisely regulated and controlled by adjusting the third temperature, the enhancement effect of the nano structure can be optimized in different detection environments, and various practical application requirements are met.

An optical module for spatially offset Raman spectroscopy, the optical module comprising: a laser source mounted on a substrate and configured to emit electromagnetic radiation at a target; a plurality of sensors mounted on the substrate and configured to detect electromagnetic radiation scattered from a plurality of depths in the target; and a first plurality of filters, each disposed over one or more of the plurality of sensors, wherein, the plurality of sensors and filters are arranged on the substrate at spatially offset positions from the laser source; and wherein the first plurality of filters are substantially transparent to a first wavelength band corresponding to a Raman scattering wavelength of a first molecule of the target and substantially opaque to wavelengths outside the first wavelength band.

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%.