7results about How to "Avoid background distractions" patented technology

The invention belongs to the technical field of drug detection, and particularly relates to a method for detecting lycium barbarum glycopeptide metabolites in rat plasma and tissues based on non-targeted metabonomics. According to the method, after rat lycium barbarum glycopeptides are administered through intragastric administration, blood, liver, intestine, lung and brain tissue samples after administration are collected. A UPLC-Q-TOF-MS (Ultra Performance Liquid Chromatography-Quadrupole Time of Flight Mass Spectrometry) analysis method is combined with a statistical analysis method comprising principal component analysis (PCA) and orthogonal-partial least squares discriminant analysis (OPLS-DA) to carry out in-vivo metabonomics analysis on the wolfberry glycopeptide. Then, based on a human metabolome database (HMDB), lycium barbarum glycopeptide differential metabolite is searched, so that the pharmacological action mechanism of the lycium barbarum glycopeptide is clarified from the perspective of metabolism, and a foundation is laid for deep research and development of the medicinal value of the lycium barbarum glycopeptide in future.

The invention relates to the technical field of ceramic product manufacturing, and discloses a rapid color development generation method, device and equipment of ceramic pug and a medium, the method comprises the following steps: obtaining a rendering image of a product to be processed, and extracting a mud color gamut value from the rendering image; extracting color gamut data features by using a feature extraction algorithm, inputting the color gamut data features into a first threshold monitoring model for matching, and determining a reference threshold interval corresponding to the mud blank components and the firing conditions; carrying out shaping and firing treatment according to the reference threshold interval, and obtaining a real-time color gamut value of the outer surface of the pug prototype in the firing process; and dynamically evaluating the sintering state of the pug prototype by using the second threshold monitoring model, and controlling heating termination and cooling according to the sintering state. According to the invention, accurate evaluation of the firing state and intelligent control of heating termination and cooling start are realized, the problems of dependence on manpower, feedback lag and high trial and error cost of a traditional process are effectively solved, the accuracy and consistency of pug color development are improved, and the trial and error frequency and energy consumption are reduced.

The application discloses a kind of hemoglobin detection methods, comprising: taking 0.1-0.2mmol / L (6,5)-SWCNTs solution, add to the ultrafiltration centrifuge tube with the molecular weight of 100kDa, centrifugal 1-10min, discard filtrate;In the inclusion, add the same volume of SDS solution with filtrate, repeat centrifugal 6-15 times;Again, solution ultrasonic dispersion 0.2-1h, and centrifugal 2-15min;In DPPE-mPEG5000 solution, add the supernatant above, after mixing sufficiently, stand overnight;Again, using the ultrafiltration centrifuge tube with the molecular weight of 10kDa and 100kDa respectively to the mixed solution above sequentially centrifugal filtration, take the supernatant above, add hemoglobin solution to be measured, after mixing uniformly, stand incubation 10S above;With water as blank control, carry out UV-Vis-NIR absorption spectrum and near infrared fluorescence spectrum determination;Hemoglobin standard product is prepared into different concentration stock solution, and standard curve is drawn;The concentration of hemoglobin in sample is calculated according to standard curve.The application is simple in operation, short in time, and low in detection cost.

This invention discloses a method and system for multi-component analysis of aircraft exhaust plumes using micro-on-chip spectral imaging. The method involves acquiring multispectral image data of the exhaust plume region using a micro-on-chip spectral imaging system. This invention unmixes the mixed spectra using a non-negative matrix factorization algorithm and, combined with a pre-built fuel component spectral library, accurately identifies and quantitatively calculates the concentration distribution of key components such as carbon dioxide, carbon monoxide, nitrogen oxides, and unburned hydrocarbons in the exhaust plume. This method overcomes the errors caused by component overlap in traditional spectral analysis. By establishing a three-dimensional spatial coordinate model, high-precision extraction of the exhaust plume region is achieved, avoiding background interference. Furthermore, convolutional neural networks are used to perform spatiotemporal correlation modeling of the multi-component concentration data, generating a three-dimensional dynamic evolution map of the exhaust plume chemical components. This map reflects the diffusion patterns of exhaust plume components over time and space in real time, providing crucial data support for environmental impact assessment, aircraft emission control, and accident emergency response.

The invention discloses an aptamer regulation and control electrochemical sensor based on an Au (at) Ti3C2MXene composite material, and a preparation method and application of the aptamer regulation and control electrochemical sensor based on the Au (at) Ti3C2MXene composite material. A glassy carbon electrode is used as a working electrode, and the surface of the electrode is modified by an Au-coated Ti3C2MXene composite material prepared by an in-situ reduction method so as to enhance the electron transfer efficiency; a locking compound is formed by a specific aptamer of the lactobacillus acidophilus and an activation chain, and signal regulation and control are realized by combining the trans-cleavage activity of CRISPR-Cas12a. During detection, specific binding of the lactobacillus acidophilus and the aptamer causes conformational change, an activation chain is released to trigger the MB labeled DNA probe on the surface of the Cas12a cutting electrode, and quantification is realized through DPV detection signal change. The detection limit of the method is as low as 4 CFU / mL, the linear range is 10-106 CFU / mL, and the method is suitable for accurate detection of lactobacillus acidophilus in food and probiotic preparations.

This invention provides an image analysis-based platform, system, and method for inspecting the quality of onboard components, relating to the field of onboard component quality inspection technology. The method includes acquiring multispectral image data and CAD design data of the circuit board to be inspected; performing coordinate matching between the CAD design data and the multispectral image data; comparing the measured geometric features with the geometric design features, and comparing the measured spectral features with spectral reference features to obtain the spectral deviation of the corresponding component; and determining the quality of the onboard component based on the geometric deviation and the spectral deviation. By introducing multispectral image data, while extracting local texture features, it also deeply analyzes the spectral response feature values ​​of each band, significantly improving the depth and reliability of the inspection.