35 results about "Whole blood sample" patented technology

The application provides a full-passive microfluidic whole blood sample preparation device, which comprises, from bottom to top, a bottom support layer, a bottom hydrophilic layer, a bottom adhesive layer, a middle main body layer, a liquid outlet channel layer, an upper surface hydrophilic layer of the liquid outlet channel, a first intermediate adhesive layer, an upper layer main body layer, a second intermediate adhesive layer, a top cover layer and a product collection and storage cavity sealing patch which are laminated and assembled in sequence. The application does not need any external driving force or active surface treatment, and only relies on the material properties and ingenious structure design, so that the plasma / serum can be automatically and efficiently separated from trace whole blood, and the application has the advantages of simple structure, low cost, convenient operation, one-time use, instant detection application and the like.

The application discloses a combined filter for separating plasma from whole blood, comprising a whole blood sample adding chamber, a first combined filter membrane, an intermediate chamber, a second combined filter membrane and a plasma collecting chamber arranged in sequence along a filtering direction of a whole blood sample flow; and the whole blood sample is filtered multiple times through the first combined filter membrane and the second combined filter membrane to obtain a plasma sample. The application further provides a combined filter device and a method for separating plasma from whole blood. The combined filter provided by the application can further improve the recovery rate, recovery quality and recovery efficiency of the whole blood separation plasma, and meets the demand of in-vitro diagnosis on the pretreatment of the whole blood sample.

FIELD: pharmacology.SUBSTANCE invention can be used to determine the concentration of an anti-tuberculosis drug in blood serum. The method for determining the concentration of bedaquiline in the blood serum in patients with tuberculosis or mycobacteriosis is that whole blood samples are centrifuged at 3000 rpm for 20 minutes, then the blood plasma is collected in sterile 1.5 mL Eppendorf tubes, then 900 mcL of acetonitrile are added to 300 mcL of plasma and centrifuged at 13500g for 15 minutes, then 1 mL of the supernatant is transferred to a chromatographic vial and make the assay by UHPLC MS / MS using an Athena UHPLC C18, 1.8 mcM, 120A, 2.1×100 mm chromatography column, when using an aqueous solution containing 5 g / L of ammonium acetate, 25 ml / L of concentrated acetic acid, 2 ml / L trifluoroacetic acid as mobile phase A and 100% acetonitrile as mobile phase B, the concentration of bedaquiline is determined using a pre-plotted calibration curve.EFFECT: determination of bedaquiline in human blood plasma in a time not exceeding 6 minutes.1 cl, 9 dwg, 6 tbl

The present application relates to the technical field of RNA extraction, and particularly relates to a pretreatment reagent, a method and a kit for RNA purification of whole blood samples. By introducing hydrophobic DESs as the core pretreatment component, the DESs are mixed with the whole blood sample in advance, the DESs form an independent phase layer after centrifugation by using the unique physicochemical properties, and the liposoluble drug components, inflammatory proteins and pigments are selectively extracted to the hydrophobic DESs phase and the RNA is preliminarily purified; the upper water phase of the pretreatment and purification is taken and added into a lysis solution containing a chaotropic salt to fully release the nucleic acid, and DNase I is introduced for digestion. The present application combines the pretreatment of hydrophobic DESs and the digestion of DNase I, and is used in combination with PVP (targeting adsorption of residual pigments and phenolic compounds), reduces the impurities of the lysis system through the front-end pretreatment, creates a low-interference and high-efficiency purification environment for the specific binding of RNA by the magnetic beads, and forms a synergistic removal network for the interference of complex samples.

This invention discloses direct amplification qPCR reagents, kits, and applications for whole blood samples. The amplification reagents include: a composite hot-start DNA polymerase system, a buffer system, a surfactant, an anti-contamination system, and an anti-inhibition enhancer system. The composite hot-start DNA polymerase system is obtained by mixing antibody-modified hot-start Taq enzyme and antibody-modified Taq1C2 mutant Taq enzyme in a predetermined ratio. The buffer system includes Tris-HCl, MgCl2, (NH4)2SO4, and KCl. The surfactants include Tween-20 and NP-40. The anti-contamination system includes UDG enzyme and dNTPs, wherein the dNTPs are composed of dATP, dGTP, dCTP, dTTP, and dUTP. The anti-inhibition enhancer system includes D-trehalose, L-carnitine, DMSO, BSA, and SSB single-chain binding protein.

The application discloses a kind of based on DNA methylation's construction method of biological age prediction model, the application is downloaded from GEO data website, derived from Chinese population, contains calendar age data, whole blood sample 450k methylation chip data, by the method of elastic network combined bootstrap, 31 methylation sites of modeling candidate are screened, multiple linear regression, support vector machine, random forest and gradient boosting regression tree are used to carry out preliminary construction and evaluation of model, then further filter methylation sites using full subset regression, obtain methylation age prediction model based on 18 methylation sites.Finally, using any provincial team natural population data, methylation age prediction model is optimized, and finally the biological age prediction model based on 18 methylation sites is obtained.The model is suitable for Chinese population, the number of methylation sites contained is less, is not affected by blood cell components, and the prediction accuracy is good.

This invention relates to the field of drug concentration detection technology, specifically to a rapid method for detecting blood drug concentrations in emergency patients. The method involves collecting time-series biochemical reaction signals from whole blood samples within a fixed time window, obtaining a net signal sequence after benchmark removal; constructing a baseline linear reference sequence connecting the zero point and the endpoint using a preset cutoff time endpoint value; calculating the vertical difference between the net signal and this reference to determine the time of maximum deviation; and finally, using the endpoint value and the time of maximum deviation as a two-dimensional index to query a preset compensation table and output the drug concentration corrected for hematocrit. This method utilizes reaction kinetic morphology characteristics to decouple the diffusion hindrance effect caused by high hematocrit, avoiding false low concentration results due to incomplete reaction equilibrium. It significantly improves the accuracy and reliability of blood drug concentration detection in emergency settings under conditions of no centrifugation and direct whole blood measurement.

1. Name of the product in this design: Blood glucose meter. 2. Purpose of this design: This design is used to test the blood glucose level in fresh capillary whole blood samples. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a method for determining quaternary ammonium salt pesticides in blood by using liquid chromatography mass spectrometry, which draws a standard working curve of whole blood (plasma, serum) matrix by liquid chromatography mass spectrometry analysis, obtains peak areas of target quantitative ion peaks and peak areas of internal standard quantitative ion peaks of different concentrations of paraquat, diquat, wild wheat, chlormequat, and mepiquat, and then draws a standard working curve; and under the same conditions, liquid chromatography mass spectrometry analysis is carried out on whole blood sample liquid, peak areas of target quantitative ion peaks and peak areas of internal standard quantitative ion peaks in the whole blood sample liquid are obtained at the same time, and the content of each quaternary ammonium salt pesticide is calculated according to the standard working curve. The application can simply, quickly and simultaneously detect the content of five kinds of quaternary ammonium salt pesticides in whole blood of poisoned patients, and has the characteristics of simplicity, accuracy, good repeatability and high sensitivity.

A method for the extraction and enrichment of Hepatitis C Virus (HCV) antigens by conjugating specific antibodies targeting Envelope 1, Envelope 2, NS3, and NS4 antigens to a temperature-responsive smart polymer (NIPAAm-Co-HIPAAm-Co-SAKIPAAm). The application also relates to a detection kit for HCV antigens, comprising the smart polymer conjugated to specific antibodies, colloidal gold nanoparticles conjugated to specific antibodies, and instructions for detecting HCV antigens in serum, plasma, or whole blood samples.

The application discloses a construction method of a microbial-metabolite-host regulation network of summer South China calf based on Lactobacillus reuteri, and belongs to the technical field of microorganisms. The construction method comprises the following steps: collecting rumen, fecal sample and whole blood sample of the summer South China calf; obtaining microbial layer data through 16S rRNA sequencing, obtaining metabolite layer data through non-target metabolomics, and obtaining host gene / pathway layer data through whole blood transcriptomics; performing correlation analysis on multi-omics data to obtain a microbial-metabolite-host regulation correlation network. The regulation network significantly improves the growth performance of the summer South China calf, relieves diarrhea and enhances the digestive absorption function by improving the abundance of gastrointestinal beneficial bacteria, promoting the secretion of short-chain fatty acids and activating the host immune antioxidant pathway. The application realizes the precise mechanized application of probiotics by clarifying the regulation correlation among the three, and provides a mechanism-application integrated scheme for healthy breeding of calves.

Aspects of the present disclosure include systems for detecting and classifying cancer cells in a whole blood sample in a flow stream. A system according to certain embodiments includes a light source configured to irradiate cells of a whole blood sample in a flow stream; a light detection system including a photodetector that captures an image of light emitted from the irradiated cells; and a processor having a memory operably coupled to the processor, wherein the memory includes instructions stored thereon that, when executed by the processor, cause the processor to apply a neural network to the captured image in order to detect the presence of cancer cells in the whole blood sample having a minimum concentration of cancer cells and determine a classification of the cancer cells in a plurality of classifications. In some cases, the neural network is trained using images of samples labeled with a fluorophore ground truth marker. Methods of using the subject systems to detect and classify cancer cells in a whole blood sample are also described. Non-transitory computer readable storage media are also provided.

Methods for identifying bacterial species in biofluid samples (e.g., whole blood samples) are described. The methods rely on optical spectroscopy, and enable rapid detection and identification of bacteria directly from whole blood. Not only can LSS-based techniques detect and identify bacteria in biofluids such as whole blood, but that species-level identification can potentially be made based on a small number of bacterial cells, without the need for observing entire colonies or performing susceptibility testing. The methods may comprise illuminating the biofluid sample with input light, detecting scattered light produced by the biofluid sample in response to the illuminating, generating first data indicative of a measured scattering spectrum associated with the biofluid sample using the detected scattered light, and identifying whether at least one of the bacterial species is present in the biofluid sample using the first data.

1. Name of the product in this design: Blood glucose meter. 2. Purpose of this design: This design is used to test the blood glucose level in fresh capillary whole blood samples. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application provides a serum proteomics and machine learning-based Kawasaki disease intravenous immunoglobulin (IVIG) resistance biomarker combination and screening method, and belongs to the technical field of medicines. The method comprises the following steps: (1) on the basis of establishing strict inclusion criteria and typing criteria, collecting whole blood samples of IVIG reaction type and non-reaction type Kawasaki disease children before treatment; (2) using DIA proteomics technology for systematic screening and differential protein identification; (3) weighted co-expression network analysis, screening of protein modules significantly related to IVIG non-reaction phenotype; (4) combined with LASSO-Logistic regression and SVM-RFE for multi-step feature screening, identifying five biological markers significantly related to IVIG resistance: PLA2G4A, SNX17, PURB, CERS3 and CASP1 (5) based on the marker expression level, using the pROC package for ROC analysis and calculating AUC; (6) analyzing the correlation between the marker and the clinical index related to Kawasaki disease; (7) after limma processing in the independent transcriptome set GSE18606, using glm to construct a multivariate binary logistic regression prediction model and perform ROC analysis. Through independent transcriptome dataset verification, the biomarker combination screened by the application can realize effective prediction of Kawasaki disease IVIG resistance, and shows good prediction performance and clinical application value.

The present invention relates to the use of light microscopy for reticulocyte maturity classification of stained reticulocytes. In particular, the present invention relates to a method for reticulocyte maturity classification from a whole blood sample, comprising: staining the sample with a supravital agglutination stain reagent or a fluorescent agglutination dye; illuminating the stained sample with a light beam to detect reticulocytes; determining for each reticulocyte the parameters (i) the fraction of reticular area (Ar) relative to the whole cell area (Ac) (Λ) and (ii) the fraction of reticular perimeter (Ur) relative to the reticular area (Ar) (Γ); and classifying the reticulocyte maturity into one of four main maturity classes according to the determined Λ and Γ values.

The application discloses a method for fine positioning of anti-sporozoan genes of Carassius auratus based on linkage disequilibrium analysis, relates to the technical field of fine positioning of fish genes, and comprises the following steps: collecting whole blood samples of a Carassius auratus population, extracting genomic nucleic acid sequences, constructing a whole genome marker site set with a preset marker density gradient, dividing haplotype blocks to generate an initial haplotype data set, obtaining a population linkage disequilibrium distribution map through sliding window comparison, selecting a region with a decay rate lower than a standard value as a candidate correlation section and extracting a genotype coding sequence, matching and calculating correlation strength values with sporozoan infection survival phenotype data, reconstructing haplotype phase information of the candidate section and iteratively calculating until the threshold is met if the preset threshold is not reached. The method is suitable for genetic structure differences of genomes, optimizes correlation determination processes, and improves the accuracy of anti-sporozoan gene positioning and the reliability of section screening.

A device and a method of using the device for determining hematocrit in a whole blood sample. The device includes a first portion having an introducer, at least one fluid channel, a fluid actuator, and an analysis sensor and conductivity sensor disposed within the fluid channel. The second portion includes at least one well containing at least one material. The first portion and second portion are movable with respect to each other. The introducer is configured to transfer at least a portion of the material from the well in portion two into the fluid channel of portion one. The method includes measuring the resistance over substantially the entire portion of a whole blood sample and calculating an average hematocrit level of the whole blood sample based on the measured resistance.

The application discloses a reagent, a method and application for improving PCR inhibitor tolerance, and belongs to the technical field of molecular biology. The application combines heat-sensitive uracil DNA glycosylase and deoxyuridine triphosphate, and applies the combination as a PCR anti-inhibitor in DNA amplification of a whole blood sample. Experiments prove that the combination can improve the tolerance of a PCR reaction system to whole blood inhibitors, reduce the false negative rate, and improve the accuracy and reliability of detection. Meanwhile, the method for performing PCR reaction by using the combination is simple in operation, low in cost, and high in nucleic acid detection sensitivity. Therefore, the reagent and the method have good application prospects in the detection of nucleic acids extracted from a whole blood sample.

Analysis of cell populations for both research and clinical applications such as cell therapy is often performed on whole blood that is close to 24 hours old. The reason for this is that the analysis site is removed from the blood draw site so that blood must be shipped overnight to the analysis site. During the 24-hour shipping period, granulocytes and other blood components break down into undesirable cell debris including nucleic acids that are released into the blood. Such debris is known to interfere with immunological assays and with thawing following freezing of samples. The present invention solves this issue by removing granulocytes (and optionally other components) using an anti-CD15 molecule (or other appropriate molecule) bound to metallic magnetic particles. Following mixing, the granulocytes (or other components) are removed and prepared for shipment to the analysis site or for other reasons.

This invention discloses a method for the separation and detection of exosomes in whole blood using a microfluidic chip. The method includes preparing a microfluidic chip with a specific structure for whole blood exosome separation and a PEGylated microfluidic chip with fishbone-like protrusions for capturing whole blood exosomes. Simultaneously, a viscoelastic solution is prepared and the whole blood sample is pretreated. The pretreated whole blood sample is injected into the microfluidic chip for whole blood exosome separation, and size-dependent separation of exosomes is achieved using a viscoelastic flow field. After concentration, a whole blood exosome concentrate is obtained. Exosomes are immobilized with paraformaldehyde, perforated, and biotinylated. After capture, a BODIPY polymer dot-coupled secondary antibody is prepared, combined with a primary antibody to complete exosome immunolabeling. After localization, multi-channel imaging using a total internal reflection fluorescence microscope is performed. This method achieves efficient separation and highly specific labeling detection of whole blood exosomes, improving the separation recovery rate and purity.

The application discloses a preparation method of a ratio type electrochemical sensor for synchronous detection of total hemoglobin (tHb) and glycosylated hemoglobin (HbA 1c ) "double signal opening". The application also discloses a method for synchronous quantitative detection of tHb and HbA 1c by using the ratio type sensor, and application of the method to accurate quantitative determination of blood sugar in a whole blood sample. Experimental results show that the ratio type "double signal opening" electrochemical sensor constructed by the application has high accuracy, high selectivity, high sensitivity and good anti-interference performance, and is suitable for accurate evaluation of tHb and HbA 1c in a clinical blood sample.

This invention discloses a biomimetic nanobamboo based on centrally rigid tandem assembly (CRSA) technology and its application in the isolation of circulating tumor cells (CTCs). This biomimetic nanobamboo uses rigid triangular structural units with a Y-shaped framework as lateral partitions, and is longitudinally tandemly linked by rolling circle amplification products (sRCAp), cross-linked with linker molecules to form a super-large, highly rigid nanobamboo structure. Surface modification with targeted aptamers acts as "branches," and biotin modification is used for magnetic separation. This invention achieves highly efficient assembly of the nanobamboo using CRSA technology, with an assembly efficiency of 90%. Its structural rigidity is 33 times higher than that of traditional DNA nanotubes, and its resistance to nuclease degradation is enhanced by 30 times. Utilizing the multivalent aptamer binding effect and magnetic separation technology, this biomimetic nanobamboo can efficiently separate rare CTCs from whole blood samples, achieving a separation efficiency of 68.2 times and a purity of 75.6%, while maintaining good activity of the separated CTCs. This invention provides a novel tool for the precise isolation of CTCs and has significant application prospects in tumor metastasis early warning and precision medicine.

This invention discloses a method for constructing an age prediction model based on DNA methylation microhaplotypes, belonging to the field of bioinformatics. Through bioinformatics analysis of methylation data from multiple whole blood samples, DNA methylation microhaplotype sites for accurate age prediction are selected using the sparse group Lasso algorithm. Further, a convolutional neural network is used for age regression modeling, and the stability and accuracy of the model are verified in multiple independent cohorts. This model provides a novel and effective technical means for age prediction in epigenetics, with high scalability and application prospects.

The application discloses a method for detecting lactic acid in whole blood. Specifically, the method comprises a lactic acid extraction method, an ion mobility spectrometer sampling and detection analysis process and method. The lactic acid solution obtained by pretreating the whole blood sample is combined with the negative pressure sampling ion mobility tube technology, the sample is directly introduced into the photoionization center point of the ion mobility tube reaction zone, and then high-sensitivity direct detection of lactic acid is realized. The lactic acid measurement can realize quantitative analysis of lactic acid in whole blood in the concentration range of 100-1000 μg / ml. The analysis time of a single sample is less than 0.5 min, and the software can automatically output the lactic acid blood concentration detection analysis result. The detection method is simple, efficient, accurate and reliable, and has very important significance for clinical diagnosis of diseases through lactic acid blood concentration analysis.

This invention provides a deep learning-based leukocyte sorting and disease diagnostic instrument, comprising: a sample processing system for label-free high-throughput sorting of leukocytes in whole blood samples, a visual detection system for leukocyte identification and parameter detection, and a control and analysis system for overall control and data analysis. This invention employs label-free sorting and detection technology, achieving leukocyte sorting based on the principle of microfluidic inertial focusing, combined with visual recognition technology for detection. This avoids the damage to cell viability caused by biochemical markers. Sorted cells can be used for subsequent gene sequencing, drug screening, and other research, while reducing detection costs. Furthermore, it deeply integrates deep learning algorithms, microfluidic technology, and 3D printing technology to achieve an integrated design of sorting, detection, and analysis. The instrument has a compact structure, small size, and low cost, making it easy to promote and apply in primary healthcare settings. The detection process is highly automated, significantly improving diagnostic efficiency.

1. The name of the design product: full-automatic chemiluminescence immunoassay instrument. 2. The use of the design product: for immunofluorescence detection of whole blood samples. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application relates to the technical field of biomedical detection, and discloses a microfluidic biosensing identification method and system for non-diagnostic purposes, wherein the microfluidic biosensing identification method for non-diagnostic purposes comprises the following steps: obtaining a whole blood sample, measuring and analyzing the whole blood sample, constructing a sample state vector, and dynamically adjusting working parameters of a sensor; synchronously collecting multi-modal sensing signals, obtaining the multi-modal sensing signals and environmental parameter signals; filtering, compensating and correcting the environmental parameter signals; performing variational modal decomposition on the multi-modal net signals and implementing physical constraint screening, extracting time domain and frequency domain characteristic parameters; performing evidence fusion and weighting on a multi-modal dynamic characteristic parameter set; training a transfer learning model and performing time sequence correlation analysis to obtain concentration estimation and a diagnosis conclusion; and the application can realize direct detection of a whole blood sample, collaborative analysis of multi-modal signals, real-time monitoring of a dynamic process, environmental self-adaptive compensation and accurate identification under small sample conditions.