164 results about "Surface-enhanced Raman spectroscopy" patented technology

A platform for characterizing biomolecules, biological tissue sections, viruses, or other particles of interest in a non-invasive, high-throughput, cost-effective, and label-free manner. The platform includes a merged set of imaging modalities including and capable of interferometric microscopy and wide-field or confocal microscopy (such as, for example, a wide-field super-resolution surface enhanced Raman spectroscopy, SERS), although some aspects may be employed with data sets only received from wide-field or confocal microscopy. Related devices, systems, methods, techniques, and variations to the same are also provided.

The invention discloses a method and system for identifying perfluorooctanoic acid pollutants in tap water, and relates to the field of water environment new pollutant detection, and the method comprises the steps of SERS spectral signal collection, signal preprocessing, bimodal learning device construction and training verification, and concentration prediction result generation based on numerical value and image bimodal. The to-be-predicted data is put into the trained bimodal learning device for prediction and identification, and the concentration of the detection sample is output, so that batch rapid detection based on surface enhanced Raman spectroscopy and bimodal deep learning is realized, and high-precision identification and prediction based on small sample data are realized; the accurate detection result of the perfluorooctanoic acid pollutants in the tap water is obtained.

The invention relates to a data analysis technology, and discloses a spectral feature and artificial intelligence fused grain heavy metal detection method and system.The method comprises the steps that a near-infrared diffuse reflection spectrum, a laser-induced breakdown spectrum and a surface enhanced Raman spectrum of a grain sample are obtained, a matrix accumulation area thermodynamic diagram is constructed according to the near-infrared diffuse reflection spectrum, and the matrix accumulation area thermodynamic diagram is obtained; the method comprises the following steps: optimizing a laser-induced breakdown spectrum based on a thermodynamic diagram of a matrix accumulation area, carrying out dual-channel spatial-temporal feature extraction on a surface enhanced Raman spectrum and the optimized laser-induced breakdown spectrum to obtain a fusion feature vector, carrying out weighted fusion optimization on the fusion feature vector based on a signal-to-noise ratio of multispectral data to obtain an optimized fusion feature vector, and finally obtaining a fusion feature vector. And carrying out migration adaptation on a pre-trained grain detection model by using a pre-marked new grain sample, and carrying out heavy metal content identification on the grain sample by using the adaptive grain detection model according to the optimized fusion feature vector to obtain a heavy metal detection result. The precision of grain heavy metal detection can be improved.

The invention belongs to the technical field of biology, and particularly relates to a group of paired monoclonal antibodies for resisting H9N2 subtype avian influenza viruses and a surface enhanced Raman spectroscopy rapid detection test strip established based on the antibodies. The paired monoclonal antibody comprises a labeled antibody 1E9 and a capture antibody 3C10 which are prepared by taking hemagglutinin protein of the H9N2 subtype avian influenza virus as antigens and can be specifically combined with the H9N2 subtype avian influenza virus. According to the invention, an SERS (Surface Enhanced Raman Scattering) probe Au-coated Pt-4ATP is used as a marker and is coupled with a labeled antibody 1E9 to prepare a labeled probe, and the labeled probe is paired with a capture antibody 3C10 to establish an SERS immunochromatography test strip. The test strip has a colorimetric and Raman dual interpretation mode, can be used for qualitative and quantitative detection, has the advantages of strong specificity, high sensitivity, good repeatability and stability and the like, is simple and rapid in clinical detection operation, and provides reliable technical support for on-site rapid screening of subtype viruses.

The invention relates to the technical field of analysis and detection, in particular to a surface enhanced Raman spectroscopy (SERS)-based nano material detection method, which is characterized in that a heterojunction composite structure consisting of noble metal nano stars and semiconductor oxide nano particles is used as an SERS active substrate; and a specific recognition molecule carrying a Raman reporter molecule is used as a detection probe. During detection, the recognition molecules are firstly combined with the to-be-detected nano material, and then the compound is adsorbed on the surface of the substrate. The tip structure of the noble metal nanostar and a heterojunction interface jointly generate a synergistic effect of electromagnetic enhancement and chemical enhancement, and a reporter molecule signal is doubly amplified, so that high-sensitivity and high-selectivity detection on a to-be-detected nano material is realized. The method solves the problems of weak signal and poor selectivity of the traditional method, and is suitable for rapid and quantitative analysis of trace nano materials in the environment.

The invention discloses a surface-enhanced Raman scattering probe as well as a preparation method and application thereof. The surface enhanced Raman scattering probe comprises a conductive fiber, a bismuth-based nanosheet growing on the surface of the conductive fiber in situ and noble metal nanoparticles growing on the surface of the bismuth-based nanosheet in situ. The preparation method of the surface enhanced Raman scattering probe comprises the following steps: 1) preparing a conductive fiber grid loaded with a bismuth-based compound; 2) preparing a conductive fiber grid on which bismuth-based nanosheets grow; 3) preparing a conductive fiber grid on which precious metal nanoparticles grow; and 4) disassembling the conductive fiber grid on which the noble metal nanoparticles grow into single fibers. The surface-enhanced Raman scattering probe has the advantages of large specific surface area, high detection sensitivity, good biocompatibility, economy, environmental protection, simple preparation method and the like, and is suitable for manufacturing a surface-enhanced Raman scattering substrate for surface-enhanced Raman spectrum detection.

The invention discloses a system and a method for rapidly detecting trace active ingredients of a medicine, belongs to the technical field of medicine detection, and relates to cross application of surface enhanced Raman spectroscopy and artificial intelligence. The system comprises a sample preparation module, a micro-fluidic enrichment module, a Raman spectrum acquisition module, a self-adaptive spectrum analysis module, a multi-component identification module and an intelligent report generation module, and efficient enrichment and nanogram-level detection of drug molecules are realized through an enhanced surface Raman scattering micro-fluidic chip. Intelligent identification and accurate quantification of complex spectral characteristics are realized by adopting a deep learning algorithm and a self-adaptive weight calculation method, synchronous detection of 5-10 active pharmaceutical ingredients is supported, the detection sensitivity reaches nanogram / milliliter level, the quantification error is less than 5%, the detection time of the whole process is 5-10 minutes, and the detection accuracy is high. The sensitivity, the accuracy and the efficiency of medicine quality detection are obviously improved.

The invention provides a method for detecting dichromate radicals based on surface enhanced Raman spectroscopy, and belongs to the technical field of analytical chemistry. Comprising the following steps: mixing a to-be-detected sample with a sulfydryl-containing compound solution, and adjusting to an acidic condition, so that dichromate Cr (VI) and the sulfydryl-containing compound are subjected to an oxidation-reduction reaction; constructing an SERS substrate, namely preparing a ZnO / Ag heterostructure substrate; mixing the suspension of the ZnO / Ag heterostructure substrate with a reaction system to obtain a mixed solution, so that the ZnO / Ag heterostructure substrate adsorbs a sulfydryl-containing compound and enhances a Raman signal; dropwise adding the mixed solution to the surface of a solid carrier, acquiring a Raman spectrum signal by using a Raman spectrometer, and quantifying the Cr (VI) concentration through the change of signal intensity. The method realizes rapid and high-sensitivity detection of Cr (VI), has strong selectivity and anti-interference capability, and is suitable for detection in the fields of environmental monitoring, food safety, pharmaceutical analysis and the like.

A method for preparing a dual-mode immune structure based on a surface-enhanced Raman substrate and an up-conversion luminescent probe, and an application thereof. The dual-mode immune structure based on a surface-enhanced Raman substrate and an up-conversion luminescent probe comprises a copper / black phosphorus / silver nanoflower composite immunosubstrate and a NaGdF4:Yb3+ / Er3+ up-conversion nanoparticle immunoprobe, wherein the copper / black phosphorus / silver nanoflower composite immunosubstrate is prepared using an electrochemical reduction method, and the NaGdF4:Yb3+ / Er3+ up-conversion nanoparticle immunoprobe is prepared using a hydrothermal method. During the application to cancer detection, assembling an immunosubstrate and an immunoprobe realizes the combination of up-conversion luminescence and surface-enhanced Raman spectroscopy technology for realizing dual-mode detection of cancer biomarkers. Thus, simple operation and high detection sensitivity are achieved, thereby facilitating efficient and precise clinical screening and identification of cancer biomarkers.

The invention provides a silver substrate and a preparation method and application thereof.The preparation method comprises the steps that firstly, dispersed silver seeds are introduced to the surface of an aluminum-foil paper substrate through the reaction of silver nitrate and excessive alkali, and in-situ nucleation sites are provided for follow-up silver growth; and then, through in-situ reduction reaction of hydroquinone and silver nitrate, silver controllably grows on the basis of the silver seeds to form a structure rich in hot spots. Conventional raw materials such as aluminum foil, silver nitrate, alkali and hydroquinone are adopted in the whole process, complex equipment is not needed, and therefore the process is simple and low in cost; meanwhile, a step-by-step regulation and control mechanism ensures that a large number of'hot spots' formed by nano-structure gaps and tips are formed on the surface of the silver substrate, and the key structure can obviously enhance Raman signals, so that the high-sensitivity detection requirement is met. In conclusion, the method has the advantages of preparation convenience, cost and high performance of the product, a practical substrate which is easy to popularize and high in adaptability is provided for the field of surface enhanced Raman spectrum detection, and the method has remarkable application value.

The invention provides a pathogenic bacterium distinguishing method and system based on surface enhanced Raman spectroscopy and AI assistance, and relates to the technical field of pathogenic bacterium analysis and detection.The pathogenic bacterium distinguishing method comprises the steps that original Raman spectrum data of a pathogenic bacterium sample capable of collecting Raman spectrum signals is obtained; preprocessing and dimensionality reduction processing are carried out on the original Raman spectrum data, characteristic peaks used for classification are screened out, and Raman shifts of the characteristic peaks comprise any one or more of 832 cm <-1 >, 1001 cm <-1 >, 1122 cm <-1 >, 1165 cm <-1 >, 1293 cm <-1 >, 1353 cm <-1 > and 1580 cm <-1 >; and inputting any one or more Raman shifts in the characteristic peaks into a pre-trained one-dimensional convolutional neural network model, analyzing the Raman spectrums of different pathogenic bacteria by the model, and outputting a classification result of the pathogenic bacteria. According to the method, the surface enhanced Raman spectroscopy technology is utilized, the AI auxiliary analysis method based on the convolutional neural network is introduced, different pathogenic bacteria are distinguished, and the method has the advantages of being easy and convenient to operate, short in consumed time, high in sensitivity and high in accuracy.

A diagnostic platform for detecting and analyzing brain tumors includes a portable fiber Surface Enhanced Raman spectroscopy (SERS) module, a removable fiber probe for intraoperative use, disposable nanoplasmonic cartridges for individual sample loading, and an updatable spectral library collected from healthy and diseased samples. The platform is designed to analyze blood and tissue signatures and employ artificial intelligence (Al) models to classify SERS spectra based on an updatable proteomics and SERS spectral library encompassing distinct brain tumor types. The platform is further configured to utilize artificial intelligence (Al) algorithms for the analysis and classification of the recorded SERS spectra.

The invention provides a Raman spectrum noise reduction method and device, computer equipment and a computer readable storage medium, and the method comprises the steps: obtaining Raman data which comprises a surface-enhanced Raman spectrum set; preprocessing the Raman data: removing the background of the Raman data, and performing spectrum baseline correction and standardization based on an asymmetric least square method to obtain preprocessed Raman data; and performing down-sampling and up-sampling on the preprocessed Raman data, performing feature extraction on the Raman data based on one-dimensional convolution in the down-sampling process to obtain a feature spectrum, and reconstructing the feature spectrum in the up-sampling process to obtain a noise-reduced spectrum.

The invention belongs to the crossing field of a surface acoustic wave device, a microfluidic technology and a surface enhanced Raman spectrum, and relates to a high-flux SERS substrate preparation device based on acoustic flow control. The device adopted by the method comprises a heating module and an enrichment module. And the heating module controls the temperature change, so that chip breakage caused by overheating is avoided. In the enrichment module, when an alternating electric signal is applied, an interdigital electrode excites the surface of the chip to generate surface acoustic waves, and then vibration of solid particles is triggered, so that target particles move along the surface of the substrate and are enriched. Meanwhile, the device adopts a bionic shark type hydrophobic film, so that the contact angle of liquid drops reaches 140 degrees, internal particles are convenient to gather, and the enrichment speed and the drying efficiency of the particles are remarkably improved. The method is easy and convenient to operate, enrichment and drying treatment is provided for subsequent target particles, and the detection sensitivity of the target particles in Raman spectrum analysis is remarkably improved; and a solution in a liquid sample can be quickly evaporated into solid residues.

A method of surface-enhanced Raman spectroscopy includes positioning an analyte in a field-enhancing region of a nanophotonic element, irradiating the analyte with a continuous wave excitation laser operating at a user-defined frequency in a range from near infrared (NIR) to short-wave infrared (SWIR) to generate a signal to cause photon scattering from the analyte and detecting the photons with one or more photodetectors in the SWIR. A surface-enhanced Raman spectroscopy system includes a laser operating at a frequency having a range from near-infrared (NIR) to short-wave infrared (SWIR) that emits light in a spectrum between 700 and 2500 nanometers, a nanophotonic element to receive the light from the laser, and one or more SWIR detector to detect photons scattered by an analyte on the nanophotonic element.

The present application belongs to the technical field of data analysis, and particularly relates to a high-throughput biosensing system for early warning of algal blooms and pathogens, which comprises multiple sampling units, a microfluidic chip with a multi-channel structure, and a high-throughput surface-enhanced Raman detection unit with an integrated metal nanostructure surface, and obtains the original surface-enhanced Raman spectrum of the water sample through a Raman spectrum acquisition mechanism. The system uses compressed spectrum sampling and sparse reconstruction methods to reduce the data volume and maintain the integrity of the spectrum information, constructs a pathogen Raman fingerprint dictionary through a dictionary learning method, and realizes the identification of different algal metabolites, algal toxins and pathogen-related molecular components and the concentration interval judgment thereof in combination with a sparse representation classification mechanism. Based on the type and concentration interval of the pathogens, the system further generates algal bloom risk warning and pathogen risk warning, and realizes early discovery of abnormal changes in the water body. The present application has significant advantages in stability, sensitivity, throughput and real-time performance.

The invention provides a paper-based SERS (Surface Enhanced Raman Scattering) substrate based on ultrahigh-activity silver nanowires as well as a preparation method and application of the paper-based SERS substrate, and belongs to the technical field of surface enhanced Raman spectrum detection. Silver nanowires which are arranged in order are fixed on the surface of hydrophobic filter paper to regulate and control gaps of the silver nanowires so as to enhance the local electromagnetic field coupling effect, target molecules are induced to be enriched in situ by utilizing the hydrophobic characteristic of the hydrophobic filter paper, and a high-density Au / Ag heterogeneous interface is constructed on the surface of the etched silver nanowires in combination with aqua regia etching and AuNPs self-assembly technologies. The SERS signal intensity is further improved through the synergistic effect of bimetallic plasma resonance, the repeatability of the substrate is improved through neat arrangement of the silver nanowires, the stability is improved by wrapping the silver nanowires with the gold nanoparticles, the detection sensitivity of the paper-based SERS substrate is further improved, and the paper-based SERS substrate is low in preparation raw material price, can be manufactured in a large scale and is suitable for industrial production. The trace substances are very convenient to detect and can be taken at any time when being used.

The present application relates, for example, to substrates for surface enhanced Raman spectroscopy (SERS), to methods for their preparation and to uses of such SERS substrates in methods for the detection of an analyte in a sample. The SERS substrates of the present application comprise a support material, a layer of a SERS-active metal on the support material, and a layer of magnetically active nanoparticles on the layer of the SERS-active metal. The methods of preparing such SERS substrates comprise depositing a layer of a SERS-active metal on a support material, and depositing a layer of magnetically active nanoparticles on the layer of the SERS-active metal.

A Raman-active nanoparticle of the present disclosure includes a spherical plasmonic metal core; a plasmonic metal shell having surface irregularities; and a first self-assembled monolayer that binds to each of the core and the shell, is positioned between the core and the shell, and includes a Raman reporter satisfying the following Chemical Formula 1:

The application relates to the technical field of detection, in particular to a method for detecting sandalwood by using surface-enhanced Raman spectroscopy, which solves the problem that the existing sandalwood incense gas detection does not meet the actual use requirement, and adopts a detection equipment to detect, wherein the detection equipment comprises a combustion chamber used for igniting and continuously burning the sandalwood to be detected to form a gas to be detected; a sample cell which is connected with the combustion chamber and receives the gas to be detected, and a surface-enhanced structure is arranged in the sample cell; a laser which is used for emitting laser to the sample cell to obtain the Raman spectrum; an analysis system which is used for analyzing the gas Raman signal; and input end opening and closing valves and output end opening and closing valves are respectively arranged at the gas inlet end and the gas outlet end of the sample cell.

The present invention relates to the technical field of security features comprising markers by means of surface enhanced Raman spectroscopy (SERS) and the detection thereof. Furthermore, the present invention relates to the field of UV-Vis curable security inks comprising SERS tags, said inks being used for printing security features on substrates, in particular security documents or articles, wherein the ink comprises i) one or more surface enhanced Raman spectroscopy (SERS) tags, ii) one or more vinyl ether-containing compounds, iii) one or more cationic radiation-curable compounds different from the one or more vinyl ether-containing compounds of ii), and iv) one or more cationic photoinitiators that are hexafluorophosphates.

The invention discloses a spiral chiral gold nanorod as well as a preparation method and application thereof, and the method comprises the following steps: (1) sequentially adding hexadecyl trimethyl ammonium bromide, cysteine and p-aminothiophenol into an anisotropic gold nanorod solution, uniformly mixing, and adsorbing; and (2) silver nitrate, chloroauric acid and ascorbic acid are added for a reaction, centrifugal dispersion is performed after the reaction is finished, and the spiral chiral gold nanorod is obtained. Dispersing the spiral chiral gold nanorod in an aqueous solution, adding phenylalanine enantiomer, dropwise adding on a clean glass slide after incubation is finished, and performing surface enhanced Raman spectroscopy test by using a Raman microscope after air drying. According to the invention, the broadband coverage of chiral response from visible light to near ultraviolet region is realized by accurately regulating and controlling the arrangement of interface molecules and the morphology of the nano structure.

The application discloses a new coronavirus strain XBB.1.5 identification method based on a surface-enhanced Raman spectrum chip, and belongs to the technical field of new coronavirus detection. The application identifies the new coronavirus strain XBB.1.5 through the detection method, avoids complex and expensive gene sequencing, can accurately determine the new coronavirus subtype, has low cost, high accuracy, short time and convenient operation.

Disclosed herein are assays, methods, and devices for detecting a target ion via ionophore-based ion-selective sensing using Surface Enhanced Raman Spectroscopy (SERS). For example, disclosed herein are assays for detection of a target ion via SERS, the assays comprising: an ionophore, a nanostructured metal, an ion exchanger, and an indicator, wherein the ionophore comprises a binding portion configured to bind with the target ion, wherein the nanostructured metal is configured to enhance a Raman signal of at least a portion of the indicator, wherein the Raman signal changes when the target ion is bound to the ionophore. Also disclosed herein are methods, for example, comprising contacting any of the assays described herein with a liquid sample; subsequently collecting a surface enhanced Raman signal from the liquid sample and the assay; and processing the surface enhanced Raman signal to determine a property of the liquid sample.

The invention belongs to the technical field of antibiotic residue detection, and particularly relates to a rapid detection method for quinolone antibiotics in dairy products. The preparation method comprises the following steps: preparing gold nanoparticles as gold seeds by using a sodium citrate reduction method, epitaxially growing an ultrathin Cr-MIL-101-NH2 shell layer by using a layer-by-layer self-assembly method, and constructing an Au-coated Cr-MIL-101-NH2 NPs core-shell structure; a solid phase microextraction-surface enhanced Raman spectroscopy (SPME-SERS) combined method is established on the basis of the material, a shell layer is used for efficiently extracting and selectively enriching a target object to a gold nanoparticle local plasma resonance area, strong SERS signal enhancement is achieved, and the shell layer guarantees that the gold nanoparticles are stable in performance in a complex matrix at the same time. Methodology verification proves that the method is wide in linear range, good in precision, high in recovery rate, low in detection limit, convenient in pretreatment and suitable for rapid high-throughput detection of antibiotic residues in food.

The invention provides a water antibiotic pollution detection method and system based on spectral characteristics, and belongs to the technical field of water environment monitoring, analysis and detection.The method comprises the steps that firstly, a surface enhanced Raman spectrogram and oxidation-reduction potential time sequence data of a to-be-detected water sample are synchronously obtained; then, extracting a ratio of the characteristic peak intensity of the target antibiotic from the spectrogram to generate a first characteristic set, and meanwhile, performing wavelet packet decomposition on the potential data and calculating an energy entropy to construct a second characteristic set; then, splicing the two feature sets, and screening out a target feature subset highly related to the concentration through a mutual information maximization algorithm; finally, a support vector projection regression model trained based on a structural risk minimization mechanism is utilized, and accurate detection of the concentration of the target antibiotics in the water sample to be detected is achieved through kernel function mapping and hyperplane projection operation. According to the method, the anti-interference capability and the quantitative precision of antibiotic detection under the complex water body background are improved.

The invention relates to the technical field of biology, in particular to an SERS probe for Mfn2 detection, a preparation method of the SERS probe, an SERS sensor and application of the SERS sensor. Based on a surface enhanced Raman spectroscopy (SERS) technology, a gold nanoparticle SERS probe coated with an antibody 1 and a silver nanoparticle SERS probe coated with an antibody 2 are constructed, a sandwich structure is formed through combination of the antibody 1, an antigen and the antibody 2, the structure effectively improves SERS hot spot distribution and Mfn2 detection sensitivity, and traditional measurement steps are simplified. The constructed biologically coded SERS probe can be used for measuring Mfn2 with different concentrations. Based on the prepared SERS sensor, the dynamic measurement of the expression of the single living cell Mfn2 in the process of electrical stimulation of dental pulp stem cell odontogenic differentiation is realized, and the SERS sensor has wide clinical application prospect and transformation value in the aspects of measurement of protein molecules in a single cell organelle and diagnosis of Mfn2 related diseases.

The invention relates to a fabrication method for the substrate in which the sample to be tested in surface enhanced Raman spectroscopy is placed.

One aspect of the present disclosure provides a system for collecting a neutral gaseous fluid sample desorbed from a solid or liquid sample of a substance of interest, the system comprising: a sample collection substrate having an activated surface suitable for surface enhanced Raman spectroscopy (SERS), the activation surface is configured for collecting a sample of the substance of interest; a substrate receiving region in which the sample collection substrate is disposed; a SERS analyzer configured to perform SERS on the surface of the substrate in the substrate receiving area; and a desorber configured to desorb the substance of interest from the sample collection substrate to provide a neutral gaseous fluid sample suitable for further analysis.

A Raman-active nanoparticle of the present disclosure includes a spherical plasmonic metal core; a plasmonic metal shell having surface irregularities; and a first self-assembled monolayer that binds to each of the core and the shell, is positioned between the core and the shell, and includes a Raman reporter satisfying the following Chemical Formula 1: