8 results about "High throughput technology" patented technology

The invention discloses a PM2.5 oxidation potential monitoring method based on a high-throughput detection technology, and relates to the technical field of environmental monitoring, and the PM2.5 oxidation potential monitoring method comprises the following steps: 1, preparing an instrument, a reagent and a filter membrane sample; 2, preparing a specified reagent and refrigerating in a dark place as required; 3, cutting the filter membrane, weighing and grouping, and setting a blank sample; 4, performing vortex oscillation or ultrasonic extraction, and refrigerating filtrate; 5, multiple detection methods are configured, and only R2 reaction durations are different; 6, batch on-machine detection and synchronous manual comparison are carried out; 7, performing blank correction, performing linear fitting to calculate a DTT rate and an OP value, and verifying linearity and consistency; and 8, according to a result of reduction, numbering samples according to rules, processing unqualified samples, and generating a report containing parameters. The detection efficiency is improved by virtue of a high-throughput technology, and the data reliability is guaranteed by full-process quality control; the reagent dosage and the extraction mode are optimized.

The invention belongs to the crossing field of marine biotechnology and bioinformatics, and particularly relates to a method for high-throughput identification of natural functional oligopeptides. At present, bottlenecks still exist in development and application of various functional oligopeptides such as penetrating peptides and antibacterial peptides in non-model species, and the high adaptability of the existing functional oligopeptides in complex and diverse non-model organisms is limited mainly due to differences (amino acid preference and receptor specificity) among species. Therefore, the invention provides a method for high-throughput identification of functional oligopeptides from natural sequences of organisms by means of machine learning. According to the method, based on a biological natural protein sequence, an oligopeptide sequence set meeting a preset length condition is generated through a sliding window strategy system, a deep machine learning model is utilized to perform high-throughput functional prediction on the oligopeptide sequence, and on the basis of performing'interruption-prediction-re-comparison 'on existing functional oligopeptides, the functional oligopeptide sequence set meeting the preset length condition is obtained. The comparison threshold value for accurately identifying the functional oligopeptide can be determined, and the natural functional oligopeptide existing in the protein sequence can be effectively identified based on the threshold value. The functional oligopeptide obtained by the method has strict screening of physicochemical properties of a machine learning model and high-adaptability biological characteristics formed in species evolution. According to the method, the direct application capability of the functional oligopeptide in non-model species is remarkably improved, and an accurate and high-throughput technical means is provided for efficient development and application of the functional oligopeptide in non-model organisms.

The invention provides a lung tumor early warning protein chip and application thereof. The protein chip comprises an antigen group, the antigen group comprises an antigen; the antibody corresponding to the antigen is p53, NY-ESO-1, CAGE, GBU4-5, SOX2, HuD, MAGE A4, SARS, ZPR1, FAM131A, GGA3, PRKCZ, HDAC1, GOLPH3, NSG1, CD84, EEA1, CEA, CYFRA211 and the like; the protein chip is used for early warning and evaluation of lung tumors, and the early warning and evaluation comprises the following steps: collecting serum of a to-be-detected crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-detected crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by a high-throughput technology, and is used for risk early warning detection of lung tumors.

A strain of bacteria, HITLi7, based on the quantification of conserved gene abundance. T A rapid and specific detection method is involved, which uses the determination of the abundance of species-specific conserved genes to quickly detect HITLi7. T This invention addresses the challenges of complex microbial composition and the limited availability of HITLi7 strains in current bio-enhanced activated carbon processes. T The technical challenge of rapidly and specifically identifying and detecting abundance changes in indigenous bacteria presents a problem. This invention utilizes the double-positive reaction of the bispecific conserved genes gyrB and rpoB to further enhance the specificity of the detection results. The high sensitivity and accuracy based on qPCR technology further strengthen the reliability of the results. The detection method of this invention provides highly targeted results, avoiding the large amount of redundant data and complex processing procedures associated with high-throughput technologies. Compared to detection methods based on traditional bacterial morphology and physicochemical properties, it has wider applicability, higher sensitivity, and greater accuracy.

The application provides a protein chip for early warning of breast cancer and application thereof, the protein chip comprises an antigen group; the antigen group comprises antigens; antibodies corresponding to the antigens are at least one of 111 kinds of AKAP4, BRCA2, CIP2A, GIPC1, P53, SOX2, A1AT, ANGPTL4, BRAF, C1D, LRRC26 and the like; the protein chip is used for early warning and evaluation of breast cancer; steps of the early warning and evaluation include collecting serum of a to-be-tested crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-tested crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by using a high-throughput technology, and is used for risk early warning detection of breast cancer.

The invention relates to the technical field of high throughput, in particular to a high-throughput solid electrolyte screening method and system based on a continuous mask plate. The invention provides a high-flux solid electrolyte screening method based on continuous masks. The method comprises the following steps: determining a plurality of target materials and continuous masks, coating sequences and coating motion parameters corresponding to each target material according to preset demand information; when one target material is coated, each round of coating of the continuous mask plate is controlled to perform combined movement according to preset moving distances corresponding to a main direction and an offset direction in sequence until a to-be-coated area is completely exposed or the continuous mask plate completely covers the to-be-coated area after the continuous mask plate performs multi-round combined movement; and after coating of various target materials is completed, high-flux solid electrolyte screening is carried out on the solid electrolyte in all the unit areas of the to-be-coated area. The multi-directional movement of the mask plate is realized through the cooperative movement in the main direction and the offset direction, so that different target materials are accurately coated along the set direction, and the accurate control of the deposition amount of each area is achieved.

This invention provides a protein chip for early warning of liver cancer and its application. The protein chip includes an antigen set; the antigen set includes antigens; the antibodies corresponding to the antigens are at least one of 61 selected from GNA11, GNAS, IDH1, MSH2, NPM1, PAX5, PTCH1, PTEN, SRSF2, Survivin, CAST, PAIP1, PRKCZ, RAD23A, RUNX1T1, SARS, TP53, APEX2, RCSD1, and AIF1; the protein chip is used for early warning assessment of liver cancer, and the early warning assessment steps include: collecting serum from the target population, using the protein chip to detect the serum to obtain detection data, and then determining whether they belong to a low-risk, medium-risk, or high-risk population based on a risk warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals using high-throughput technology for early warning detection of liver cancer.

The application belongs to the technical field of mass spectrometric detection and analysis, and particularly relates to a paper-based electro-spray ionization source integrated device and method for mass spectrometric analysis. The device comprises a bearing platform, a rotating to-be-detected sample table, a plurality of conical sample tubes carried on the to-be-detected sample table, a solvent tank arranged above the bearing platform and located at the side of the to-be-detected sample table, an electrode clamping groove arranged above the bearing platform, a grabbing mechanism arranged above the bearing platform and located above the to-be-detected sample table, and a waste tube discarding channel arranged above the bearing platform. The application is based on the complex to-be-detected sample pretreatment-ionization integrated high-throughput technology of the paper-based electro-spray ionization source. The conical sample tube is grabbed by the grabbing mechanism, the tip of the conical sample tube is immersed in the solvent bottle, the solvent is loaded into the conical sample tube, and the conical sample tube is introduced into the electrode clamping groove for electro-spray ionization. The device can be used for rapid and high-sensitivity analysis of target compounds in complex to-be-detected samples.