39760 results about "Analytical chemistry" patented technology

The invention discloses a ppb-grade methane gas online detection method, equipment, a medium and a product, and relates to the field of data processing. The method comprises the following steps: acquiring an infrared absorption spectrum signal, and obtaining original spectrum data; performing multi-scale noise separation and baseline correction on the original spectral data to obtain de-noised effective spectral features, and extracting methane specific absorption peaks from the de-noised effective spectral features; comparing the methane specific absorption peak with the interference gas spectral line through a multi-spectral line weight matching algorithm to obtain methane characteristic intensity; carrying out self-adaptive calibration on the methane characteristic intensity according to the drift compensation model to obtain calibrated characteristic intensity; obtaining a ppb-level methane concentration value through a concentration inversion model; and inputting the sorted concentration time sequence data into an anomaly detection model to detect a methane leakage event. By designing signal processing and algorithm analysis, the dependence on equipment hardware performance is reduced, and the use cost of ppb-level methane gas detection is reduced.

A sensor system for optical detection of multiple analytes is discussed. An example system is presented that includes a plurality of lenses configured to receive individual light signals from analyte-sensing chromophores disposed on an array when the analyte-sensing chromophores are illuminated by light while being exposed to different specific analytes within an interstitial fluid. The system further includes at least one volume phase grating (VPG) communicatively coupled to at least one of the plurality of lenses and a detector communicatively coupled to the at least one VPG so that light signals from the analyte-sensing chromophores are focused by the plurality of lenses to the at least one VPG and transmitted to the detector. The detector being operable to generate spectra with each spectrum corresponding to an individual light signal from a single analyte-sensing chromophore.

The invention discloses long-chain alkyl polyarylamine as well as a preparation method and application thereof. The structural formula of the long-chain alkyl polyarylamine is as shown in a formula (I): # imgabs0 # formula (I), wherein R is an alkyl group with the carbon atom number of 5-12, the weight-average molecular weight of the R is 5000-136000 g / mol, and the PDI of the R is 1.41-2.24; the long-chain alkyl polyarylamine provided by the invention has relatively high fluorescence intensity, can stably emit fluorescence at high temperature and under long-term illumination, and has relatively long fluorescence lifetime.

The invention relates to a bioelectrochemical sensor used for detecting hydrogen peroxide and a manufacturing method of the bioelectrochemical sensor. The novel bioelectrochemical sensor is a sensor with a three-electrode system, wherein the counter electrode is a platinum electrode, the reference electrode is saturated calomel electrode and the working electrode is gold electrode. The sensor is based on orientation combination of a polypeptide horse radish peroxidase with characteristic sequence, the promotion effect of the polypeptide horse radish peroxidase on the activity of the enzyme and the characteristic of high sensitivity of electrochemical detection methods. The sensitivity of hydrogen peroxide sensors is effectively improved and satisfactory results are obtained.

The present invention relates to the technical field of lithium battery state estimation, and in particular to a fuzzy EKF-AH algorithm-based state of charge (SOC) estimation and correction method for a lithium iron phosphate battery. The method comprises: by taking a certain startup of an energy storage device as a start, a BMS reading an SOC and a state of health (SOH) at the previous shutdown, and on the basis of a standby time, selecting an open circuit voltage (OCV) or an EKF algorithm to correct the SOC; using an EKF-AH algorithm to estimate the SOC, establishing, on the basis of fuzzy control, a fuzzy rule library associated with the SOC and the SOH, and dynamically adjusting a weight and a measurement noise deviation of the EKF-AH algorithm; and calculating estimation differences between the EKF algorithm and an ampere-hour integration method, and if the sum of the estimation differences is greater than a corresponding threshold, issuing an SOH correction warning. The present invention improves the estimation accuracy of the entire life cycle of the lithium iron phosphate battery, and assists the correction of the SOH.

The disclosure provides systems and methods for droplet processing. For example, a method can include providing a first droplet and a second droplet. In some cases, the first droplet may have a first concentration of a reagent and the second droplet may have a second concentration of the reagent. The second droplet may comprise a bead or a biological particle. The method can also include subjecting the first droplet and the second droplet to conditions sufficient to transfer the reagent from the first droplet to the second droplet, thereby decreasing the first concentration in the first droplet and increasing the second concentration in the second droplet.

The invention discloses an organic sample analysis method based on micro gas chromatography and a chromatographic analyzer, particularly relates to the technical field of micro gas chromatography, and is used for solving the problems of unstable separation performance and low complex sample detection precision caused by insufficient uniformity of a stationary phase coating of an existing micro chromatographic column. The method comprises the following steps: constructing a stationary phase distribution initial profile by continuously pre-charging carrier gas, alternately applying segmented temperature gradient, micro-negative pressure and directional pulse flow to remodel a uniform distribution layer, generating a correction factor set of a temperature-resistance coupling relationship by combining a correction mixture and a tracer gas pulse, dynamically adjusting a carrier gas flow velocity and a temperature program to generate a matched operation curve, and finally, carrying out dynamic calibration. High-precision separation detection and quantitative analysis are achieved, stable separation performance is maintained in a miniaturized structure by cooperatively controlling stationary phase distribution optimization and real-time parameter feedback correction, and the detection precision and reproducibility of a wide-boiling-range organic mixture are improved.

A non-invasive liquid integrity monitoring system using dielectric fingerprinting and machine learning to detect and identify contamination in sealed containers is described. The system may employ externally-mounted sensors that measure dielectric properties through electromagnetic interrogation, comparing measurements against baseline signatures to detect deviations indicating contamination, tampering, or degradation. Industry-specific ML models enable identification of specific contaminants with confidence, providing alerts without breaching container integrity.

Embodiments of improved methods are provided to form ordered structures on a surface of a substrate using direct self-assembly (DSA) of ionic liquid crystals (ILCs). More specifically, various embodiments of methods are provided to control the pitch of a layered structure formed on a substrate surface via self-assembly of ILCs having cation head groups, alkyl tail groups and anions. In the embodiments disclosed herein, the pitch of the layered structure is controlled by: (a) controlling the cation / anion charge ratio of the cation head groups and anions included within the ILCs, and / or (b) adding an ionic liquid to a solution comprising the ILCs.

The invention discloses a spectrum pretreatment method for online detection of coal quality through multi-spectrum combination and related equipment. The method comprises the following steps: synchronously collecting LIBS and NIRS spectrums of raw coal by using a multi-spectrum combination online detection coal quality device; respectively carrying out effective screening on the synchronized LIBS and NIRS spectrums; identifying the defocusing amount of each group of synchronized LIBS and NIRS spectrums, and distributing a corresponding defocusing amount label for each group of spectrums; correcting the defocusing spectrum by adopting a spectrum correction method according to the defocusing amount label to obtain corrected LIBS and NIRS spectrums, and fusing the corrected LIBS and NIRS spectrums to obtain a corrected fused spectrum; and analyzing the LIBS spectrum, the NIRS spectrum and the fusion spectrum by adopting a quantitative analysis method, and calculating the fixed carbon content. The LIBS and NIRS spectrum fusion makes up the limitation that a single spectrum can only represent atomic information or molecular information, so that the chemical information of the coal sample is completely represented, and synchronous accurate analysis of multiple coal quality indexes is realized.

The invention discloses a hydrogen sulfide leakage abnormity monitoring method and system, and relates to the technical field of gas monitoring. A hydrogen sulfide leakage abnormity monitoring system comprises a data monitoring module, an airflow correction module, a twinborn inversion module, an association judgment module, a leakage confirmation module, a linkage control module and a monitoring updating module. According to the invention, the gas flow field correction is carried out on the hydrogen sulfide concentration by constructing the gas flow vector model and calculating the gas diffusion disturbance coefficient, so that the monitoring result is closer to the real gas distribution, and the space precision and reliability of leakage detection are improved; by establishing a double-physical-field digital twinborn model of a battery thermal field and an airflow field, corrected concentration data is introduced into a coupling domain for numerical evolution, and space inversion positioning and diffusion path prediction of hydrogen sulfide concentration abnormity are realized.

The invention discloses a visual gas leakage detection system and method based on a laser spectrum, and relates to the technical field of gas detection visualization. According to the visual gas leakage detection system and method based on the laser spectrum, the method comprises the following steps that 1, gas monitoring data are collected and preprocessed; 2, extracting a characteristic spectrum from the gas monitoring data, obtaining a gas spectrum reduction value, and separating an overlapped absorption spectrum; 3, estimating the diffusion trajectory of the gas, and calculating a gas diffusion coefficient estimation value and a diffusion rate estimation value; outputting a gas concentration estimated value; 4, gas leakage source points are calculated, gas mass tracking is carried out, and different gas leakage sources are separated; and 5, generating a scatter diagram to display gas concentrations at different positions, and marking the position of a leakage source. The problem that a complex multi-gas environment cannot be recognized due to the fact that homogeneity and heterogeneity possibly exist in the same environment due to leakage of different types of gases in the prior art is solved.

The invention relates to the technical field of spectral analysis, and discloses a method and a system for detecting the concentration of trace metal ions. The method comprises the following steps: acquiring original spectral response data of an electronic smoke sample; carrying out signal separation by utilizing a frequency domain feature extraction technology to obtain an initial spectrum data set; performing background noise filtering and baseline drift correction on the initial data to obtain a refined spectrum data set; constructing a concentration-wavelength mapping relation through absorption peak positioning and characteristic wave band screening on the basis of the refined spectrum data set; carrying out continuous time sequence sampling on the samples based on the mapping relation to generate a concentration dynamic change data set; analyzing a concentration fluctuation rule and an abnormal point in the dynamic data, and generating concentration risk assessment data; and finally outputting a time sequence detection file. According to the method, high-precision dynamic monitoring and intelligent risk assessment of trace metal ion concentration are realized, interference is effectively inhibited, and sensitivity and early warning capability are improved.

The invention discloses a water source chlorophyll a concentration prediction model design method based on machine learning. The method comprises the following steps: acquiring chlorophyll a concentration data in a to-be-predicted region for a continuous period of time; carrying out data preprocessing on the chlorophyll a concentration data, and filtering high-frequency noise by adopting wavelet transform preprocessing; constructing a concentration prediction model, carrying out data preprocessing on chlorophyll a concentration data, and filtering high-frequency noise by adopting wavelet transform preprocessing; constructing different concentration prediction models, and inputting the processed chlorophyll a concentration data and physicochemical parameters into the prediction models to obtain a chlorophyll a concentration data prediction result; and comparing prediction results of different prediction models, and determining the prediction model. According to the prediction model design method, the WT-GRU model is adopted to preprocess the data through wavelet transform, the wavelet transform effectively extracts key time scale characteristics through signal decomposition, and the accuracy of chlorophyll a concentration prediction is remarkably improved.

The invention belongs to the technical field of calcium hydroxide preparation, and particularly relates to a preparation method of calcium hydroxide with high specific surface area, which comprises the following steps: S1, adding triethanolamine and diethanolisopropanolamine into water, and uniformly mixing to obtain an active agent solution; s2, mixing quick lime with an active agent solution, and carrying out digestion reaction to generate a calcium hydroxide coarse material; and S3, sieving and drying the calcium hydroxide coarse material to obtain the calcium hydroxide with the high specific surface area. The specific surface area of calcium hydroxide can be remarkably increased through the active agent solution, meanwhile, the uniformity and sufficiency of the quick lime digestion reaction are optimized, the calcium hydroxide particle aggregation phenomenon is reduced, and finally the calcium hydroxide product with the high specific surface area and the high activity is prepared.

The invention provides an integrated electrochemical biosensor capable of detecting double miRNA with high sensitivity, and the integrated electrochemical biosensor can simultaneously detect double miRNA markers with high sensitivity through self-assembly of a Y-shaped capture probe, preparation of an Au / TiO2-FTO array electrode, catalytic hairpin amplification (CHA) and construction of a micro-droplet chip electrochemical biosensor. The advantages of equalization of double-target miRNA capture probe sites, excellent electrode performance, reliable signal amplification, low sample consumption and the like are integrated, the linear range of miRNA21 and miRNA155 detection is 10 fM to 100 nM, and the detection limits are 5.00 fM and 5.17 fM respectively. By detecting the miRNA21 and miRNA155 double markers, the accuracy of breast cancer diagnosis is up to 98%, and the recognition sequences at the two ends of the Y stent probe are modified, so that the sensor can be used for diagnosing other miRNA marker related diseases. The integrated micro-droplet chip electrochemical biosensor constructed by the invention has a remarkable clinical diagnosis value and a prominent practical application prospect.

The invention discloses a high-sensitivity miniaturized HOx free radical accurate measurement device and method, and relates to the technical field of atmospheric environment detection and automatic control, and the device is composed of a free radical generation and removal device, a light source module, longitudinal HOx double cavities, a gas distribution module and a collection and control system. The free radical generation and removal device can generate HOx free radicals or remove OH free radicals; the light source module can emit laser which enables OH free radicals to generate fluorescence and transmit the laser into the longitudinal HOx double-cavity; the longitudinal HOx double cavities are used for exciting OH free radicals to generate a large amount of fluorescence and collecting and converting the fluorescence into electric signals; the gas distribution module is used for injecting gas in the device and maintaining the flowing state of gas flow; and the control and acquisition system is used for controlling automatic operation and data acquisition and processing of the device. The device has the advantages of being high in detection sensitivity, small in size and capable of rapidly obtaining and removing OH free radical measurement interference, rapid calibration of similar concentration can be conducted on the actual HOx concentration in the actual measurement environment, accurate spectrum determination can be conducted on the laser wavelength, and therefore high-sensitivity accurate measurement of HOx free radicals is achieved.

The invention provides an electrolyte for a negative-electrode-free sodium metal battery, a preparation method of the electrolyte and the negative-electrode-free sodium metal battery, and relates to the technical field of sodium ion batteries. The electrolyte is mainly prepared from sodium salt and a weak coordination organic solvent, wherein the concentration of the sodium salt in the electrolyte is 1-2.5 mol / L. According to the electrolyte, through the weak coordination organic solvent and specific sodium salt concentration selection in the electrolyte, more anions can enter the solvation structure of the electrolyte to form the electrolyte with the anion-atmosphere solvation structure, and it is verified that the electrolyte has the advantages that the electrolyte is simple in structure and convenient to use. The electrolyte for the negative-electrode-free sodium metal battery can effectively relieve the problem that an existing high-voltage negative-electrode-free sodium metal battery is short in cycle life.

The invention relates to a preparation method of Pt monatomic nano-enzyme and application of Pt monatomic nano-enzyme in cardiac troponin I. The preparation method comprises the following steps: 1) ultrasonically dispersing cobalt salt, selenium powder, chloroplatinic acid, urea and sodium chloride in an alcohol solvent, heating and stirring until the solvent is completely volatilized to obtain a solid mixture, and grinding the solid mixture into powder; and 2) placing the powder in a heating device, carrying out Joule heat treatment in an air atmosphere, washing a reactant, and carrying out vacuum drying to obtain the Pt monatomic nano-enzyme. Se doping is introduced in the one-step chemical reaction process to construct oxygen vacancies, rapid heating and structural shaping are achieved in combination with Joule heat treatment, the Se-doped Co3O4-loaded Pt monatomic catalyst is obtained, the oxygen vacancies and Se doping sites are synergistically used as anchoring sites, Pt monatomic atoms are effectively fixed, and the loading capacity and dispersity of the Pt monatomic atoms are improved. The obtained material shows excellent POD-like enzyme activity, can be used for constructing a high-sensitivity colorimetric immunoassay system, and realizes rapid and accurate detection of cTnI.

The invention relates to the technical field of biomedical sensing and health monitoring, and discloses a noninvasive glucose detection system. The system comprises an interstitial fluid extraction device, a photoelectric sensing module and a main control circuit which are integrated on a flexible substrate. The interstitial fluid extraction device drives subcutaneous interstitial fluid to migrate to the hydrogel interface layer under the action of reverse ion electroosmosis; the photoelectric sensing module receives interstitial fluid through a hydrogel interface layer, a working electrode of the photoelectric sensing module comprises a Cu monatomic imprinting recognition layer, and imprinting holes formed by Cu monatomic sites are specifically coordinated with glucose molecules. The master control circuit controls sampling and determines the glucose concentration based on the photocurrent signal. Noninvasive sampling and monatomic imprinting photoelectric detection are fused, sampling-detection integration is achieved, and the device has the advantages of being noninvasive, painless, high in selectivity, high in interference resistance, comfortable to wear and the like and is suitable for continuous monitoring of blood glucose.

The invention provides an intelligent evaluation method and system for the antibacterial effect of a water matrix standard substance, and relates to the technical field of intelligent evaluation, and the method comprises the following steps: preparing a bacterial suspension in a logarithmic phase and checking turbidity; preparing a water matrix standard substance and a control solvent, and obtaining a baseline parameter set; setting inoculum size and incubation conditions, determining the antibacterial efficiency in parallel, and performing image segmentation correction on sticky colonies to obtain an original observation set; establishing a deviation transfer relationship, correcting the original data, and forming an endpoint quantization set; and the bacteriostatic validity is output through evidence fusion, and a supplementary experiment is carried out on a critical condition. According to the method, the accuracy and reliability of bacteriostatic effect evaluation of the water matrix standard substance are improved.

The invention relates to a flow battery charge state detection device and method, and is applied to the technical field of flow batteries. Compared with the prior art, the reference detection cavity connected with the bipolar plate is formed, the reference electrolyte can be replaced and supplemented without arranging a reference electrolyte storage tank, the adaptability of the detection device is improved, and the reference detection cavity corresponds to the positive electrolyte detection cavity and / or the negative electrolyte detection cavity, so that the detection efficiency is improved. A reference electrode is arranged in a reference detection cavity, the potential deviation of a reference electrolyte can be detected and calibrated in real time, and a calibration voltage value of the reference detection cavity is obtained, so that the potential of a positive electrode electrolyte relative to the reference electrode, the potential of a negative electrode electrolyte relative to the reference electrode and the calibration voltage value are used for calibrating the potential deviation of the reference electrolyte. The concentration of each valence ion is calculated on line through a multi-parameter empirical formula, and the charge state of the flow battery is obtained in real time through the concentration of each valence ion, so that the detection error is reduced, the detection sensitivity is improved, and the real-time monitoring precision of the charge state is improved.

The invention discloses a water heavy metal concentration simulation and prediction method, which comprises the following steps: integrating original monitoring data, hydrodynamic data, total suspended solids, image remote sensing data and human activity data, and generating a multi-source cleaning sequence data packet; executing cross-modal adsorption capacity estimation by using image remote sensing data in the data packet, inferring particle chemical composition and adsorption isotherm parameters from image textures, and generating a capacity feature packet containing an adsorption capacity upper bound; time-varying travel time is calculated based on the hydrodynamic data and the human activity data, causal alignment is performed on the capacity feature packet and the upstream signal, and a travel time alignment feature packet is generated; and in combination with metal fingerprint parameters, applying an adsorption capacity upper bound as a physical constraint on a form distribution constraint head, explicitly decoupling and predicting the form, and generating a prediction result packet. According to the method, the hydrodynamic physical mechanism and the particle adsorption chemical mechanism are deeply coupled, and the prediction precision and the physical consistency of the model under the unsteady state condition are improved.

The invention discloses a dissociation rate testing device of a remote plasma source in the field of remote plasma sources. The dissociation rate testing device is characterized in that the remote plasma source is used for dissociating process gas, and a gas outlet is communicated with an etching testing table through a water cooling pipeline; the gas ionization detection device comprises a maintenance gas input control module, an output detection unit and an output calculation unit, the maintenance gas input control module is used for controlling the amount of input maintenance gas, the output detection unit is used for detecting the amount of residual maintenance gas, and the output calculation unit is used for calculating the dissociation rate; the Fourier infrared spectrometer is used for collecting infrared spectrum data of the residual maintenance gas; the RPS control test bench is used for detecting and controlling the air inlet flow, the pressure in the cavity and the cooling water flow of the remote plasma source; the tail gas treatment equipment is used for treating the residual maintenance gas. According to the testing device, full-process monitoring and closed-loop control of the plasma source operation state are realized, and the dissociation rate detection precision and the process stability are improved.

The invention relates to the field of battery materials, in particular to a battery cell and an electrochemical device comprising the battery cell, the battery cell comprises a positive pole piece, a negative pole piece, electrolyte and a diaphragm located between the positive pole piece and the negative pole piece; the diaphragm comprises a first coating and a second coating of a base membrane, the first coating is located on the surface of one side of the base membrane and faces the positive pole piece, the second coating is located on the surface of the other side of the base membrane and faces the negative pole piece, and the first coating and the second coating both comprise a first element and a second element; the difference between the mass content ratio b of the first element to the second element on the surface of the second coating and the mass content ratio a of the first element to the second element on the surface of the first coating is controlled to meet a certain range, so that the battery has long circulation and excellent thermal safety performance.

The invention relates to a czochralski method-based crystal growth interface shape detection method and device. The method comprises the steps that: a seed crystal temperature T and an interface electromotive force U at the same time in a crystal growth process are collected, and a T-U curve of the interface electromotive force U changing with the seed crystal temperature T is obtained; the change trend of the shape of a crystal growth interface in real time is judged by observing the deviation between the T-U curve and a reference line, wherein the reference line is a straight line passing through the starting point of the T-U curve, and the slope of the straight line is the Seebeck coefficient of the crystal. The invention also relates to a device used by the method. The detection method provided by the invention can detect the change trend of the shape of the crystal growth interface in real time in the crystal growth process, and can be applied to Czochralski method growth equipment for various single crystals such as lithium niobate, lithium tantalate, sapphire, yttrium aluminum garnet and the like.

The invention discloses an automatic calibration method and system for a mining laser gas detector, and relates to the technical field of instrument calibration. The method comprises the following steps: dividing detection beam parameters into measurement beam parameters and reference beam parameters; enabling the measurement light beam parameter to penetrate through the to-be-measured gas area to obtain a measurement signal, and enabling the reference light beam parameter to penetrate through the reference gas chamber to obtain a reference signal; performing photoelectric conversion calculation on the reference signal to obtain a gas concentration detection value; the gas concentration detection value is compared and analyzed with a reference data value according to the central wavelength position of the mining laser gas detector, and a calibration unit is activated according to a comparison result; and automatically correcting the mining laser gas detector, generating a correction parameter set, calculating a measurement signal, and generating a concentration value of the gas to be detected. The technical problems of low calibration efficiency and unstable calibration precision of the mining laser gas detector in the prior art are solved, and the technical effects of realizing automatic calibration of the mining laser gas detector and improving the calibration efficiency and precision are achieved.

The invention relates to a rapid gas delivery system and method for atomic layer etching. The system utilizes a compact gas buffer disposed near the gas distribution unit, enabling faster and more efficient delivery of gas to the chamber. The controller manages the gas flow of the gas buffer to maintain an amount of gas within the gas buffer required to perform a single ALE cycle. When one gas buffer delivers gas to the chamber for a partial ALE step, gas is concurrently delivered to the other gas buffer. The configuration not only can improve the efficiency, but also can save components such as a pressure gauge, thereby saving the cost.

A non-invasive liquid integrity monitoring system using dielectric fingerprinting and machine learning to detect and identify contamination in sealed containers is described. The system may employ externally-mounted sensors that measure dielectric properties through electromagnetic interrogation, comparing measurements against baseline signatures to detect deviations indicating contamination, tampering, or degradation. Industry-specific ML models enable identification of specific contaminants with confidence, providing alerts without breaching container integrity.

A device for extracting CO2 from air comprises at least one extraction reactor (12) through which CO2-containing air (L) flows in an adsorption operation, having an adsorption surface; a heating arrangement (40) for heating the at least one extraction reactor (12) at least in the region of its adsorption surface to a temperature above an extraction gas desorption temperature in a heating / desorption operation; and at least one extraction gas storage (48) for storing CO2 desorbed from the at least one extraction reactor (12) in the heating / desorption operation. The extraction reactor (12) comprises at least one substrate with a plurality of flowable cells or flow channels of a porous structure, wherein the adsorption surface is formed on the substrate, and wherein the at least one substrate is electrically conductive and can be heated by applying an electrical voltage.wherein the heating arrangement (40) comprises the at least one substrate and a voltage source (42) for applying an electrical voltage to the at least one substrate.