21 results about "Peak intensity" patented technology

A method for cooling at least one ion (8) within a capture potential of an ion trap (2), comprising: - capturing the at least one ion (8) in the capture potential, wherein the at least one ion (8) oscillates about a potential minimum of the capture potential between a first inflection point region (13) and a second inflection point region (14), - illuminating the at least one ion (8) with a laser beam in the first inflection point region (13) and / or the second inflection point region (14) for cooling the at least one ion, wherein the laser beam has a beam center characteristic of a peak intensity and the beam center is spaced from the potential minimum, and - decreasing a distance of the beam center from the potential minimum until the beam center overlaps with the potential minimum, for further cooling of the at least one ion. Furthermore, a system (1) is specified.

The application discloses a multi-peak decomposition time-resolved Raman spectrum thermal map interactive analysis method and system, and belongs to the field of spectrum analysis. The method comprises the following steps: continuously or time-divisionally collecting a to-be-measured sample to obtain Raman spectrum data corresponding to different time points; preprocessing the original Raman spectrum data; extracting spectral characteristic peaks by using an adaptive peak value recognition algorithm, and performing characteristic peak integral calculation; obtaining time contribution coefficients of different chemical components or characteristic signals in the time dimension by using a multi-peak decomposition algorithm; generating a Raman thermal map in the time dimension according to the characteristic peak intensity and / or the time contribution coefficients; establishing an index mapping relationship between the position of the Raman thermal map and the corresponding time Raman spectrum data; and responding to the interactive operation of the user on the thermal map and displaying the Raman spectrum curve at the corresponding time point in real time. The application can realize visual display, dynamic monitoring and interactive analysis of time sequence data of Raman spectrum, and improves the efficiency and accuracy of Raman signal analysis of dynamic samples.

The application provides a kind of gold plating and K gold sample identification method and system, through X-ray detector, the energy spectrum of the sample to be measured is collected, the original X-ray spectrum of the sample to be measured is obtained, the original X-ray spectrum is smoothed, the target X-ray spectrum of the sample to be measured is obtained, the initial simulation spectrum of the sample to be measured is generated according to the target X-ray spectrum, the initial simulation spectrum is corrected by iterative algorithm, until the deviation of the characteristic peak intensity of each element in the target simulation spectrum obtained after correction and the corresponding element in the target X-ray spectrum meets the preset convergence condition, whether the sample to be measured is gold-plated sample is judged according to the target simulation spectrum, in the above manner, it is favorable to improve the accuracy of detection result, reduce the misjudgment rate in the scene such as thick plating layer misjudgment, similar component confusion.

A plated steel sheet according to the present invention includes on at least a part of a surface of a steel sheet, a plating layer having a chemical composition containing, by mass %, Al: 0.50 to 4.50 or less, Mg: 0.50 to less than 3.00%, Fe: 0.01 to 15.00%, and selectively containing one or more selected from the group consisting of following element group A, element group B, element group C, element group D, element group E, element group F, and element group G with a balance composed of 5.00 mass % or more of Zn and impurities, wherein in a measured result obtained by measuring the plating layer by an X-ray diffraction method, a peak intensity ratio I100 / I002 of an intensity I100 of a peak corresponding to a (100) plane of a MgZn2 phase to an intensity I002 of a peak corresponding to a (002) plane is 2.50 or more.

A release film includes a release layer and a substrate layer, the release layer includes two or more polymers, and satisfies at least one of the following (1) to (4). (1) The release layer has a plurality of different regions with different component ratios, and in a case in which Raman spectroscopy is performed on the different regions, at least a part of the different regions exhibits different peak intensities. (2) A surface of the release layer has a convex portion and a concave portion, and in a case in which Raman spectroscopy is performed on the convex portion and the concave portion, at least a part of the convex portion and at least a part of the concave portion exhibits different peak intensities. (3) A difference in SP value between at least two of the polymers is 0.3 or more. (4) At least one of the polymers is a nitrile group-containing (meth)acrylic polymer.

This invention discloses a method for fabricating and applying a formaldehyde SERS sensor based on an Au@ZIF-8 core-shell nanostructure, belonging to the field of gas detection technology. Formaldehyde has an extremely small intrinsic Raman cross section, and ordinary SERS substrates lack the ability to capture it, resulting in weak detection signals at low concentrations. This sensor uses Au@ZIF-8 core-shell nanoparticles to assemble a two-layer thin film as the SERS substrate. The Au nanoparticles (AuNPs) serve as the electromagnetic enhancement core, while the ZIF-8 shell layer enriches and sieves formaldehyde molecules. A layer-to-layer deposition method is used to construct the double-layer thin film structure to obtain optimal SERS performance. This invention solves the problems of low sensitivity, poor specificity, insufficient stability, and difficulty in rapid on-site detection in existing formaldehyde detection technologies. The detection limit is as low as 0.16 ppt, and within a wide range from 0.01 ppb to 100 ppm, the characteristic peak intensity exhibits an excellent linear relationship with the logarithm of formaldehyde concentration (R² ≥ 0.995). It can specifically identify formaldehyde and exclude interference from other VOCs, making it suitable for rapid quantitative detection of formaldehyde in practical scenarios such as indoor environments and cigarette smoke.

A catalyst containing, as an essential component, molybdenum; bismuth; and cobalt, in which a sum (S) of ratios of peak intensities expressed by the following formula in an X-ray diffraction pattern obtained by using CuKα rays as an X-ray source is 42 or more and 113 or less. S={(peak intensity at 2θ=14.1°±0.1°)+(peak intensity at 2θ=25.4°±0.1°)+(peak intensity at 2θ=28.5°±0.1°)} / (peak intensity at 2θ=26.5°±0.1°)×100.

This invention relates to the technical field of testing or analyzing materials by measuring their physicochemical properties, specifically to a real-time monitoring system for multiple parameters of environmental water quality based on spectral analysis. The system includes optical paths for acquiring ultraviolet-visible (UV-Vis) and Raman spectra. These two optical paths are coaxially coupled via a dichroic mirror and an optical fiber combiner and connected to the same water flow cell. A timing control module enables time-division multiplexing acquisition of the same spatial coordinates. An edge computing module receives the combined spectral data, performs nonlinear scattering correction based on the Beer-Lambert law, separates the baseline drift component representing suspended matter scattering and the transmission component representing absorption characteristics, and inputs the characteristic peak intensity of the Raman spectrum as a priori constraint into the partial least squares inversion model. By qualitatively identifying specific organic compounds through Raman characteristic peaks, the solution space boundary of the corresponding overlapping bands in the UV-Vis spectrum is locked, and the inversion results for chemical oxygen demand (COD), total organic carbon (TOC), and ammonia nitrogen are output.

This application provides a method and system for detecting antibiotic pollution in water bodies based on spectral characteristics, belonging to the field of water environment monitoring and analysis technology. First, this application simultaneously acquires the surface-enhanced Raman spectrum and redox potential time-series data of the water sample to be tested. Next, the ratio of the characteristic peak intensities of the target antibiotic is extracted from the spectrum to generate a first feature set. Simultaneously, wavelet packet decomposition is performed on the potential data, and energy entropy is calculated to construct a second feature set. Subsequently, the two feature sets are concatenated, and a mutual information maximization algorithm is used to filter out the target feature subset highly correlated with concentration. Finally, using a support vector projection regression model trained based on a structural risk minimization mechanism, and through kernel function mapping and hyperplane projection operations, the accurate detection of the target antibiotic concentration in the water sample is achieved. This application improves the anti-interference capability and quantitative accuracy of antibiotic detection in complex water body backgrounds.

A hollow particle comprising a shell containing resin and a hollow portion surrounded by said shell, wherein the porosity is 50% or more and the change rate ΔPr of the peak intensity ratio Pr calculated by infrared spectroscopic analysis by the following formula (1) before and after heat treatment is 5% or less when heat-treated in air at 130°C for 240 hours. Peak intensity ratio Pr = (maximum absorbance in the range of 1680~1720 cm-1) / (maximum absorbance in the range of 680~720 cm-1) (1)

The present application relates to the technical field of laser-induced breakdown spectroscopy detection, and specifically discloses a uranium content detection method based on uranium molecular spectrum formation mechanism, which comprises the following steps: step 1: using a laser-induced breakdown spectroscopy system to collect the spectrum of a uranium concentrate standard sample, and obtaining the laser-induced breakdown characteristic spectrum of the uranium concentrate standard sample with known uranium content; step 2: extracting the uranium molecular spectrum peak intensity, the oxygen atom characteristic spectrum line intensity and the uranium atom characteristic spectrum line intensity from the laser-induced breakdown characteristic spectrum of the uranium concentrate standard sample, and establishing a multivariate calibration model of the laser-induced breakdown spectroscopy signal intensity and the uranium content in the uranium concentrate standard sample; and step 3: detecting the uranium element content in the uranium concentrate sample. The method of the present application can significantly improve the detection accuracy of the laser-induced breakdown spectroscopy in detecting the uranium content in uranium concentrate products.

The carbon material dispersion liquid disclosed herein contains a crystalline carbon material, a dispersant which has a basic functional group and a weight average molecular weight of 1,000 or more, and a nonaqueous solvent. The carbon material in the carbon material dispersion liquid has a peak intensity ratio (IG / ID) of 45 or less as obtained by laser Raman spectroscopy. The carbon material dispersion liquid has a temperature change rate X of 1.0 or less, the temperature change rate X being expressed by the following formula: X = |D2 - D1| / D1 (wherein D1 is the median diameter (µm) of the carbon material in the carbon material dispersion liquid at 20°C, D1 ≤ 30 is satisfied, and D2 is the median diameter (µm) of the carbon material in the carbon material dispersion liquid at 80°C).

This invention discloses a rapid detection method and system for lead in soil based on quantum dot fluorescence, specifically relating to the fields of optical detection and fluorescence analysis. It addresses the problem of fluorescence signal distortion caused by non-specific heterogeneous aggregation of nanoparticles in the extract solution when existing quantum dot fluorescent probes detect lead in soil. The method acquires the fluorescence spectrum of the mixed system and separates the characteristic fluorescence peaks of the quantum dots. It performs time-resolved measurements of the fluorescence signal, divides the time window of the fluorescence lifetime decay curve according to a preset time threshold, and calculates the integral area. Simultaneously, it analyzes the quenching kinetics of the characteristic fluorescence peak intensity to obtain the fluorescence quenching rate constant, and calculates the lifetime distribution characteristic ratio based on the integral area of ​​the time window. It determines the contribution ratio of non-specific aggregation to the fluorescence quenching rate constant through cooperative deviation analysis. Based on this ratio, it compensates and corrects the intensity of the characteristic fluorescence peak, accurately calculating the lead ion concentration in the soil extract solution.

The present invention relates to hollow silica particles, which each includes a shell layer containing silica and a space inside the shell layer, in which the hollow silica particles have a peak intensity derived from SiOH at a wavenumber of around 3,746 cm−1 of 0.60 or less by infrared spectroscopy, a relative permittivity at 1 GHz of from 1.3 to 5.0 and a dielectric loss tangent at 1 GHz of from 0.0001 to 0.05.

The balloon catheter includes: a shaft; and a balloon having a straight tube portion and a tapered portion, wherein the balloon has a wing-shaped portion and a protrusion on an outer surface, and a scattering intensity in each of the cross sections measured by laser Raman spectroscopy satisfies Expression (1): Ime>Ite (1) where Ime is Ia / Ib at a central part of a base end part of the protrusion on the straight tube portion, and Itc is Ia / Ib at a central part of a base end part of the protrusion on the tapered portion, Ia being a ratio of a peak intensity in the X direction to a peak intensity in the Y direction at a wavenumber of 1640 cm−1, Ib being a ratio of a peak intensity in the X direction to a peak intensity in the Y direction at a wavenumber of 1440 cm−1.

The present application relates to the field of explosive identification and detection, and relates to an explosive identification and detection method based on spectral technology. The present application obtains the actual temperature difference and the heating rate of each point on the surface of the package to be detected and the background in real time, identifies the thermal anomaly area, and analyzes the thermal response coefficient. A preset low-energy test pulse laser is emitted to the thermal anomaly area, the peak intensity attenuation coefficient of the candidate characteristic peak in the first Raman spectrum sequence is obtained, the thermal effect sensitive coefficient is calculated by combining the temperature change amount of the abnormal area, the pulse energy of the formal laser is adjusted, the half-height width and the peak position offset amount of the candidate characteristic peak in each frame spectrum in the second Raman spectrum sequence are obtained, the thermal effect sensitive coefficient and the thermal response coefficient are compensated based on the thermal effect sensitive coefficient and the thermal response coefficient, the final half-height width and the peak position are obtained, the matching factor of the final half-height width and the peak position and the reference characteristic peak parameter of the explosive is calculated, whether the explosive exists is judged, if the explosive exists, the explosive category is output, and the detection accuracy is improved.

This invention discloses an early detection method for microbial corrosion in concrete of coastal nuclear power plants based on two-dimensional correlation spectroscopy, belonging to the field of nuclear power engineering structural durability testing technology. Distinguishing itself from traditional destructive and delayed detection methods, this invention pioneers an early diagnostic system based on spectral dynamic fingerprinting. Its core technology lies in: acquiring concrete surface information through micro-destructive sampling, using 2D-COS to detect and analyze time-series ultraviolet-visible spectra, sensitively capturing the characteristic "spectral fingerprint" of initial microbial metabolism, and resolving the generation sequence of corrosion products through asynchronous spectroscopy. By correlating the spectral characteristic parameters (automatic peak intensity at characteristic wavelengths) characterizing microbial activity with the degree of concrete microstructural degradation, a quantitative prediction model is established between this model and the macroscopic engineering indicator—the chloride ion migration coefficient (DRCM), achieving a leap from biological phenomena to precise engineering data.

This invention discloses a method for determining the macroscopic composition and microstructure of carbon materials using X-ray powder diffraction, belonging to the field of carbon material testing technology. This invention establishes amorphous carbon structure models and graphite-like carbon structure models using experimental or simulation methods. Utilizing the graphite crystal structure, the XRD spectra obtained from carbon material samples are fitted and peaked using full-spectrum fitting software to obtain accurate unit cell parameters, precise peak positions, and peak intensities. The content of each component in the carbon material is calculated using the Rietveld quantitative method. Microstructural parameters are calculated using the Bragg formula. This invention is the first to propose a method for calculating the content of amorphous carbon, graphite-like carbon, and graphitic carbon in carbon materials. The microstructural parameter calculation method is more accurate and reliable than existing methods, while being simple to operate, eliminating human error, facilitating data sharing and method standardization, and playing a positive role in promoting the research and production of carbon materials.

The present application relates to the technical field of analytical detection, and particularly relates to a method for synchronously in-situ visualizing and characterizing fine structure components of lignin in plant cell walls, wherein the fine structure components of lignin include at least one of lignin synthesis precursor, lignin and hemicellulose connecting substance, G-type lignin, S-type lignin, H-type lignin and the like. The in-situ visualizing and characterizing method of the present application can realize the synchronous in-situ visualizing and characterizing of the fine structure components of lignin in plant cell walls based on the area normalization processing and characteristic peak intensity ratio of Raman image pixel points, and can eliminate the influence of the scattering volume change caused by cell structure heterogeneity and the Raman intensity difference caused by different experimental conditions on the analysis results. The present application has the advantages of label-free and high chemical specificity, and can synchronously obtain the distribution of fine structure components of lignin, and is simple and efficient, and has a wide application prospect.

The present invention relates to a biosensor and a biomodule, for detecting a target substance in a body fluid, which are capable of collecting a body fluid such as saliva, urine, or blood from an examinee to detect a target substance (for example, a hormone) in the body fluid, and performing diagnosis based on a level thereof. The biosensor for detecting a target substance in a body fluid, according to the present invention, is for detecting a target substance in a body fluid of an examinee, and comprises: a substrate; an electrode formed on the substrate; a carbon thin film formed on the electrode; and an immobilized material immobilized on the carbon thin film. The carbon thin film is composed of a hydrogen (H)-free amorphous structure, and has both a carbon-carbon double bond (C=C) and a carbon-carbon single bond (C-C). The immobilized material includes the same substance as the target substance. In the carbon thin film, on the basis of XPS peak intensities determined by XPS analysis, the XPS peak intensity related to the carbon-carbon double bond may be higher than the XPS peak intensity related to the carbon-carbon single bond.

The present application relates to a kind of PLS-based raman imaging method and the quantitative analysis method of polymer material, the imaging method includes (1) start raman testing instrument and calibration;(2) to the sample with single state change is carried out large spot raman test;(3) after using raman spectrum analysis technique to the raman spectrum data obtained in step (2) is preprocessed, using PLS is analyzed, and thus establish state-spectrum model;(4) using the wavelength range where characteristic peak is located carries out raman mapping scanning test;(5) using raman spectrum analysis technique to the mapping result obtained in step (4) is preprocessed, to make mapping scanning data and the model obtained in step (3) compatible;(6) according to the peak intensity of characteristic peak or the model to the mapping scanning data obtained in step (5) is plotted, to obtain distribution diagram.The present application patent broadens raman imaging application field, and it is important to obtain the sample topography and component distribution under microscale.