249 results about "Bioanalysis" patented technology

A federated distributed computational system enables secure biological data analysis and genomic medicine with enhanced oncological therapy capabilities. The system implements patient-specific tumor-on-a-chip analysis through microfluidic control systems and cellular heterogeneity preservation, while integrating fluorescence-enhanced diagnostics using CRISPR-LNP targeting and robotic surgical navigation. The architecture coordinates spatiotemporal analysis of gene therapy delivery through molecular imaging and immune response tracking, and implements bridge RNA integration with multi-target synchronization. Treatment selection is optimized through multi-criteria scoring and patient-specific simulation modeling. Each federated node contains a local processing unit for biological data analysis, privacy preservation protocols, and a hierarchical knowledge graph structure. The system implements cross-species genetic analysis, environmental response modeling, and multi-scale tensor-based data integration, enabling research institutions to collaborate on complex, large-scale biological analyses while maintaining strict data privacy controls.

A federated distributed computational system enables secure collaboration across multiple institutions for biological data analysis. The system consists of interconnected computational nodes managed by a centralized or decentralized federation manager, depending on the deployment model. Each node contains specialized components that work together to process biological data while preserving privacy. These components include a local computational engine that handles data processing, a privacy preservation module that protects sensitive information, a knowledge integration component that manages biological data relationships by connecting various data sources, and a communication interface that enables secure information exchange between nodes. The federation manager coordinates all computational activities across the network while ensuring data privacy is maintained throughout the process. This architecture allows research institutions to collaborate on complex biological analysis tasks without compromising their sensitive data, enabling breakthrough discoveries through shared computational resources and expertise while maintaining the security, compliance, and confidentiality required in biological research.

A federated distributed computational system enables secure, privacy-preserving biological data analysis and engineering through interconnected nodes coordinated in a distributed graph architecture. A federation manager allocates resources, manages data flow and lineage, establishes privacy boundaries, and maintains cross-institutional knowledge relationships. Each node contains a processing unit for biological data analysis, privacy preservation protocols for secure multi-party computation, a knowledge graph structure with supporting data stores, and encrypted network connections. The federation manager enforces all computation and data exchange through secure channels while maintaining privacy, security, and contractual boundaries. This architecture enables research institutions to collaborate on complex biological analyses without compromising sensitive data, facilitating breakthrough discoveries through shared computational resources while maintaining strict data privacy and security controls.

A federated distributed computational system enables secure, multi-institutional biological data analysis and genomic medicine through interconnected, decentralized nodes in a federated distributed graph architecture. A federation manager coordinates computational resource allocation, control and data flows, establishes privacy and security boundaries, implements multi-scale spatiotemporal analysis and simulation modeling, models cross-species or intrapopulation elements, and maintains cross-institutional knowledge relationships. Each node includes a local processing unit for biological data analysis, including multiomics and gene editing, privacy-preserving protocols for secure multi-party computation, a hierarchical knowledge graph for managing multi-domain biological relationships across spatial and temporal scales, and encrypted network connections. The system implements cross-species genetic analysis via phylogenetic integration, environmental response modeling through spatiotemporal tracking, and multi-scale tensor-based data integration with adaptive dimensionality control. This architecture enables research institutions to collaborate on complex biological analyses and genomic medicine applications while maintaining strict data privacy and security controls.

Provided herein are methods of determining a location of a biological analyte in a biological sample.

This disclosure provides methods for spatial profiling of biological analytes present in a biological sample. Methods include generating feature arrays using a master / copy format using recessed arrays, and methods for using such arrays. For example spatially-tagged analyte capture analytes can be used in spatial detection in methods to determine the location of analytes (e.g., proteins) in biological samples.

This disclosure relates to methods for spatial profiling of analytes present in a biological sample. Also provided are methods for using spatially barcoded substrates to detect a biological analyte in a cell culture, an organism, and organoid. Also provided are methods for using spatially barcoded substrates to detect the temporal profile of a biological analyte.

A federated distributed computational system enables secure collaboration across institutions for unified biological and multiomics data analysis. It comprises interconnected computational nodes managed by a central federation manager. Each node includes specialized components: a local computational engine for biological data processing, a privacy-preservation system, a knowledge integration component leveraging dynamic knowledge graphs, and a secure communication interface. The federation manager coordinates computational activities while ensuring security, privacy, legality, and contractual adherence. This architecture allows institutions, citizen scientists, and patients to collaborate on complex biological analyses without compromising sensitive data. By enabling shared computational resources and expertise, the system facilitates breakthrough discoveries while maintaining confidentiality. Additionally, it supports pro-rata or contractually defined participation in resultant benefits or knowledge, ensuring equitable collaboration.

This disclosure provides methods for spatial profiling of biological analytes present in a biological sample. Methods include generating feature arrays using a master / copy format using recessed arrays, and methods for using such arrays. For example spatially-tagged analyte capture analytes can be used in spatial detection in methods to determine the location of analytes (e.g., proteins) in biological samples.

The invention relates to the technical field of bioanalytical chemistry, in particular to a method for simultaneously enriching and separating glycopeptides and phosphopeptides by using a bionic hydrophilic adsorbent, which specifically comprises the following steps: step 1, preparing a polyether-ether-ketone (PEEK) framework by using a fused deposition modeling method (FDM); 2, soaking the obtained PEEK framework in an aqueous solution containing dopamine hydrochloride and tris (hydroxymethyl) aminomethane, and carrying out a reaction; step 3, then, adding a mixed solution containing hyaluronic acid methacrylate, vinyl phosphoric acid, N, N-dimethyl bisacrylamide and phenyl-2, 4, 6-trimethylbenzoyl lithium phosphate into the PEEK framework; in the invention, in the aspect of material preparation, a fused deposition modeling method (FDM) is adopted to prepare a polyether-ether-ketone (PEEK) frame, and the material has good mechanical properties and chemical stability and can bear a series of subsequent complex treatment processes without being damaged.

The invention belongs to the technical field of biological analysis and evaluation, and particularly relates to a stem cell differentiation process multi-modal image fusion and intelligent evaluation method, which comprises a stem cell differentiation process multi-modal image fusion method: on the basis of constructing a multi-modal near-physiological mechanics microenvironment, carrying out image analysis by adopting the multi-modal image fusion method; an intelligent evaluation method for the stem cell differentiation process: developing an intelligent evaluation method based on deep learning driving on the basis of constructing a multi-modal near-physiological mechanical microenvironment, and revealing a mechanical-epigenetic regulation mechanism; the synergistic application of the two solves the core observation and regulation problems in stem cell differentiation research, and provides an industrialized intelligent platform for regenerative medicine. According to the method, the data integrity can be improved, the resolution limitation is broken through, the experiment process is accelerated, accurate mechanism analysis can be realized, automatic decision making is promoted, and the research and development cost is reduced.

The invention relates to the technical field of environmental and biological analysis and detection, in particular to a method for extracting perfluorinated / polyfluorinated compounds based on confinement fluid. The method comprises the following steps: providing a multi-dimensional reticular nanopore material; growing mutually staggered carbon nanofibers on the surface of a substrate through a chemical vapor deposition method; loading a confinement fluid in a pore channel of the multi-dimensional reticular nano-pore channel material; contacting the material with a to-be-detected sample, and extracting; desorbing the extracted material by using a desorption solvent to obtain a desorption solution; and detecting the perfluorinated / polyfluorinated compounds in the desorption solution. A multi-dimensional net-shaped nano pore channel formed by mutual staggering of the carbon nanofibers provides a stable multi-dimensional micro-nano confinement space for confinement fluid. According to the structure, mass transfer and distribution of a target analyte from a complex matrix to a confinement fluid are greatly promoted, so that efficient enrichment of various perfluoro / polyfluoro compounds is realized, and the recovery rate and the detection sensitivity of the method are improved.

A microneedle device comprises a device structure, insertable to a living body and being formed with an opened niche at least partially surrounded by walls of micrometric heights above a base of the niche for allowing the niche to be filled with a blood sample upon the insertion. The device also comprises a biosensor configured to sense a bioanalyte in the blood sample and having a sensing element formed on the base. The thickness of the sensing element is less than the micrometric heights of the walls.

The invention belongs to the technical field of biological analysis and detection, and particularly relates to a photoelectrochemical-colorimetric dual-mode biosensor and application thereof in miRNA detection. According to the biosensor prepared by the invention, the bifunctional CuO-Cu2O nanoflower and the three-dimensional network g-C3N4 / AuNPs electrode are integrated, and an enzyme-assisted strand displacement signal amplification mechanism is combined, so that dual-mode collaborative detection of a target miRNA-21 is realized: in a photoelectrochemical mode, the detection limit reaches 0.35 fM (the linear range is 1 fM to 10 fM), and response is performed based on photocurrent polarity reversal; the colorimetric mode is as follows: the detection limit is 3.9 fM (the linear range is 10 fM to 10 nM), and TMB (Tetramethylbenzidine) color development visualization analysis is carried out. Single-mode interference is effectively eliminated through double-signal independent output and cross validation, and the method is suitable for high-reliability detection of trace miRNA (such as a breast cancer marker miRNA-21) in complex samples such as serum. According to the invention, the defects of insufficient sensitivity (pM level), poor anti-interference performance and high platform complexity in the prior art are overcome, and an efficient tool is provided for early diagnosis of cancers.

The invention discloses a qualitative and quantitative detection method for the integrity of an AAV vector under multi-primer ITR design, and the detection method comprises the following steps: S1, designing a plurality of primers in a conserved region of an ITR sequence of the AAV vector, the length of the primers being 18-25bp, the Tm value being 55-65 DEG C, and the GC% being 40-60%; s2, carrying out validity inspection on the primer; s3, adopting a Multiplex LAM-PCR (Polymerase Chain Reaction) method, performing amplification and sequencing by using the primer to obtain a chimeric sequence of the ITR and the host genome screened by using a biological analysis method, namely obtaining information of an ITR breakpoint; s4, according to the information of the ITR breakpoints, carrying out statistics on the distribution condition of the ITR breakpoints in the ITR region to obtain a statistical table; and S5, obtaining a qualitative and quantitative result of the ITR fracture position according to the statistical table. According to the method, the number of chimeric sequences in each primer region is counted, and the ITR breakpoints are qualitatively judged and quantitatively analyzed, so that the integrity of the AAV vector is comprehensively evaluated.

The invention provides a full-automatic online detection method for trace polycyclic aromatic hydrocarbon derivatives (SPAHs) in water, which comprises the following steps: (1) pretreatment: standing a water sample, centrifugally filtering to remove suspended matters, adding a prepared mixed standard solution, and directly loading on a machine; (2) enrichment and separation: adopting a Turbo flow C18-XL on-line solid phase extraction column to realize automatic enrichment and matrix purification of the 15 SPAHs, and combining an ultra-high performance liquid chromatography gradient elution program (methanol-ultrapure water system) to realize efficient enrichment and separation; and (3) detection and analysis: performing Full MS-ddMS2 scanning in an APCI (Amplified Peripheral Component Interconnect) source-Orbitrap high-resolution mass spectrum positive and negative ion switching mode to realize synchronous detection of hydroxyl, nitro and oxygen-containing SPAHs. According to the method, a unified detection system covering six hydroxyl polycyclic aromatic hydrocarbons, six oxygen-containing polycyclic aromatic hydrocarbons and three nitro polycyclic aromatic hydrocarbons is constructed for the first time, the detection limit is as low as 0.02 ng / L, and compared with a traditional GC-MS method, the sensitivity is greatly improved, and the sample pretreatment time is greatly shortened. Compared with the prior art, derivatization treatment is not needed, continuous sample injection is achieved through an online solid-phase extraction column regeneration technology, complex matrix interference is effectively eliminated in cooperation with a dynamic elimination function, and a high-sensitivity and high-throughput analysis method is provided for ecological risk assessment of trace SPAHs in underground water and surface water.

One aspect provided herein is an analyte processing device, comprising one or more flow channels, wherein at least one flow channel of the one or more flow channels comprise an analyte processing area; one or more excitation sources in optical communication with the analyte processing area, and comprising an optical path from the one or more excitation sources to the analyte processing area; and one or more photodetectors in optical communication with the analyte processing area, wherein the optical path comprises a light scattering control system.

The invention relates to the technical field of oral medicine and biological information analysis, in particular to an evaluation system for oral microbiological analysis and decayed tooth risk prediction. The system comprises a sample collection module, a microorganism detection module, a data preprocessing module, a microorganism population dynamic analysis module, a multi-dimensional feature extraction module, a decayed tooth risk assessment module and a personalized suggestion generation module. By constructing microbial population evolution analysis based on a Lotka-Volterra competitive model, diversity dynamic change analysis based on Shannon entropy and evolution trend prediction based on a Lyapunov stability theory, the system deeply reveals a dynamic evolution law of an oral micro-ecosystem, and a multi-dimensional feature adaptive weighting mechanism based on mutual information is adopted, so that the dynamic evolution law of the oral micro-ecosystem is improved. Personalized accurate risk assessment is realized, a causal reasoning theory is introduced to generate personalized intervention suggestions with causal support, and the accuracy and the prevention effect of dental caries risk prediction are remarkably improved.

This invention provides a simple synthesis method for Fe-Ag / CMP nanopolymers with catalase-like activity and their application in hydrogen peroxide detection, belonging to the field of bioanalytical technology. The method of this invention includes the following steps: (1) preparing a 4-hydroxyethylpiperazine thiosulfonic acid (HEPES) standard buffer solution; (2) adding cytidine monophosphate (CMP) to the solution obtained in step (1) and stirring until the CMP is fully dissolved. Then, under vigorous stirring, ferric nitrate aqueous solution and silver nitrate aqueous solution are added sequentially, at which point the colorless solution turns pale yellow; (3) transferring the mixed solution obtained in step (2) to a centrifuge tube, centrifuging at 12000 rpm for 8 min to collect the precipitate, washing it three times with distilled water, and finally adding 4 mL of distilled water to obtain a 1 mg / mL Fe-Ag / CMP suspension. This invention utilizes CMP as a biological ligand and Ag... + Fe 3+ Simultaneous coordination, and the reducing amino groups on CMP can directly transfer Ag... + In situ reduction to silver nanoparticles (AgNPs) led to the one-step synthesis of a bimetallic Fe-Ag / CMP nanopolymer with hydrogen peroxide-like nanozyme activity, enabling the detection of hydrogen peroxide.

The present invention provides a large Stokes shift near-infrared fluorescent probe for detecting HClO, its preparation method and biological imaging application, belonging to the field of bioanalysis technology. Based on the strategy of modifying the substituents at the 3,6 positions of xanthene, the present invention constructs a large Stokes shift near-infrared fluorescent probe for specifically recognizing HClO. Optical experiments show that the emission wavelength of the probe for detecting HClO is 776 nm, the Stokes shift reaches 148 nm, with strong selectivity, high sensitivity, and a detection limit as low as 4.95 nM, which can greatly reduce the interference of background fluorescence in biological imaging applications. The fluorescent probe of the present invention has almost no cytotoxicity and can be applied to the detection and imaging of HClO in living cells MCF-7 and rat liver tissues, with a tissue penetration depth of 140 μm.

The invention discloses a cascade seven-core optical fiber sensor applied to folic acid detection and a preparation method of the cascade seven-core optical fiber sensor, and belongs to the technical field of optical fiber sensing and biological analysis detection. The sensor comprises a first single-mode optical fiber, a seven-core optical fiber section and a second single-mode optical fiber, a double-microsphere-cavity structure is arranged at the optical fiber connecting position to form a cascade interference optical path, and tapering is conducted on the middle portion of the seven-core optical fiber section to form a sensing area. According to the invention, mode matching is improved through the microsphere cavity, an evanescent field is enhanced through tapering, and high-sensitivity specific detection of folic acid is realized in cooperation with the folic acid binding protein biological functional layer fixed on the surface; the sensor obtains stable linear response to a folic acid standard solution in the range of 0-50 ng / mL, a clinical serum sample verifies that the detection result of the sensor is highly consistent with that of a chemiluminescence method, the sensor has good reusability, and the sensor has the advantages of being easy to prepare in structure, rapid in response, high in sensitivity, capable of being matched with a complex matrix and the like, and has good application prospects. The method has huge potential in clinical folic acid quantitative detection.

The invention relates to a method for manufacturing a biological analysis card (1) comprising:—a step a) of providing a base (2) formed of:—at least two films (3) placed one on top of the other;—a receiving space (4) formed between the two films (3); —ducts (5) leading to the receiving space (4);—a step b) of placing a plate (9) in the receiving space (4), the plate (9) comprising:—a first face (10a) and a second face connected by an edge (11) having a profile;—a plurality of wells (12) opening onto at least the first face (10a) or the second face;—a plurality of channels (13) fluidly connecting the wells (12);—a welding step c) for welding the two films (3) in the receiving space (4) to the plate (9) and a film (3) to segments of the edge (11) of the plate (9) by applying a heating block to the film (3) against the edge (11) on the side of the first face (10a).

The invention relates to the technical field of biological analysis and detection, and particularly discloses a streptococcus mutans detection kit based on an anchored CRISPR-Cas12a enhanced paper-based micro-fluidic chip and a detection method. The detection kit comprises an RAA solution or RAA freeze-dried powder, magnesium acetate or a magnesium acetate solution, TMB or a TMB solution, an RAA forward primer, an RAA reverse primer, a cell lysis buffer, a buffer system and a paper-based micro-fluidic chip. The detection method comprises the following steps: establishing a standard curve and detecting a sample. The detection kit is used for detecting the content of streptococcus mutans and has the characteristics of high efficiency, rapidness, specificity, sensitivity, portability and the like, and the method is simple and convenient to operate, low in detection cost and capable of being applied to on-site detection of streptococcus mutans.

The invention concerns a remote medical-diagnosis system comprising 1) a self-sampling medical device, 2) at least one reception device, 3) at least one analysis device; and 4) a server configured to register a subject and his biological analysis request, to record the data related to the self-sampling medical device and its associated biological sample, to select at least one biological test to be realized on the self-sampling medical device, to request the at least one analysis device for performing the at least one selected biological test; to receive the data corresponding to the results of the at least one selected biological test performed by the at least one analysis device on the self-sampling medical device and produce and transmit to the subject a report comprising these results and / or eventually request a medical appointment for the subject.

The application discloses a kind of based on digital droplet microfluidic multi-sample flux multi-index detection device and application thereof, belong to electromechanical device, microfluidic chip and immunoprotein analysis field.The device includes droplet microfluidic equipment and immunoprotein analysis chip component, droplet microfluidic equipment is used to drive multiple droplets, mainly divided into three major systems: power supply system, computer operating system and chip clamp system, immunoprotein analysis chip component includes biological analysis substrate and microarray chip.The present application drives micro liquid sample by digital droplet microfluidic technology, realizes the multi-index detection of automated immunoprotein analysis chip.The detection device of the present application has a series of advantages such as rapidity, independence, low consumption, automation, function integration and multi-index detection, and is expected to become the most fruitful rapid diagnostic device for improving tumor diagnosis positive rate.

The biological imaging analysis device includes a staining module configured to stain cells of a biological sample so as to generate stained cells. The present analysis device also includes an illumination module configured to illuminate the stained cells, and the illumination module includes a plurality of pulsed lights. The present analysis device further includes an imaging module configured to capture an image of the stained cells. A method for flow imaging of a biological sample includes flowing a biological sample containing stained cells through an image capture region of a flow cell. The method also includes illuminating the stained cells in the image capture region with a plurality of pulsed lights using the illumination module. The method further includes capturing an image of the stained cells in the image capture region with the imaging module.

A sex difference-based mixed pollutant key element screening method belongs to the technical field of environmental health monitoring and biological analysis, solves the technical problems of strong subjectivity, low precision and low efficiency of the existing screening method, and comprises the following steps: S1, obtaining biological factor data; s2, acquiring in-vivo pollutant element data; s3, regression model screening: screening out a regression model with the best performance in pollutant key element screening; and S4, screening key elements. According to the method, a multi-dimensional fusion model is created by combining X chromosome related genes, typical physiological indexes and pollution element data in an organism; on the basis, through an automatic model trained by machine learning, manual intervention is reduced, the manpower and material resource cost is effectively reduced, the objectivity and efficiency of the screening process are improved, and according to the innovation, complex data are automatically processed through data analysis, and the accuracy and consistency of operation are improved.

A molecular sensing device and molecular sensing method that are based on quantum plexcitonic states on strongly coupled nanophotonic systems are disclosed. The molecular sensing device includes a metasurface, a layer of a semiconducting and / or dielectric material disposed onto a layer of electrically conducting material, a metal nanohole array disposed onto the metasurface, a biological recognition element disposed onto a surface of the metal nanohole array, and where the surface of the metal nanohole array is configured to receive a bioanalyte and a plurality of quantum emitters. The molecular sensing device can be a mixture of quantum emitters, comprising gold, having more than one aspect ratio. The molecular sensing device may include a spectroscopic instrument, including a portable detector. The one or more biological recognition elements are configured to recognize a communicable disease in response to the presence of a specific biological recognition element.

The application belongs to the field of biological analysis, and provides a method for precise metabolic flow analysis of TCA cycle based on isotope tracing technology combined with high-resolution mass spectrometry. By optimizing mass spectrometry parameters and liquid chromatography method, one injection within 6 min is realized, and high-throughput, high-sensitivity and high-resolution detection is realized on 11 biomarkers related to TCA cycle metabolic pathways. At the same time, the application innovatively uses LC-MS / MS to decipher 13 C the stepwise position-specific transfer from glucose to subsequent metabolites by glycolysis and TCA cycle, thereby calculating 13 C the integrated steady-state analysis of key metabolic rates of position-specific transfer from sequential precursors to their products (pyruvate dehydrogenase, beta-oxidation, pyruvate carboxylase, isocitrate dehydrogenase and pyruvate cycle). This technology has wide applicability and can potentially characterize mitochondrial metabolism of any tissue or cell.