538results about "Particle separator tubes" patented technology

Atomic object confinement apparatuses comprising periodic or quasi-periodic arrays of legs, including curved legs, and systems comprising such atomic object confinement apparatuses are provided. The atomic object confinement apparatus comprises a plurality of legs with each leg of the plurality of legs defining a one-dimensional trap segment; and a plurality of junctions with each junction of the plurality of junctions connecting at least two legs of the plurality of legs. The plurality of legs and the plurality of junctions are arranged into a periodic or quasi-periodic array of connected one-dimensional trap segments. The periodic array or quasi-periodic array comprises one or more smallest array elements. Each smallest array element of the one or more smallest array elements comprises at least one curved leg.

Systems and methods for determining a molecular structure include obtaining mass spectrum data for an unknown parent ion. The mass spectrum data is recorded at each collision energy of a series of collision energies and includes an abundance of one or more substructures of the unknown parent ion. The molecular structure of the unknown parent ion is determined by composing the mass spectrum data into a fragmentation profile and embedding the fragmentation profile into a reduced dimension profile. The reduced dimension profile is mapped into a fragmentation space. One or more proximate molecules in the fragmentation space are identified using the mapping and a candidate for the parent ion is identified using the one or more proximate molecules.

The invention relates to a sample injection control method and system for a mass spectrometer, and the method comprises the steps: recognizing a to-be-detected sample, and obtaining a sample recognition result; on the basis of the sample identification result, determining sample introduction parameters of the to-be-detected sample; and performing sample injection control on the to-be-detected sample according to the sample injection parameters, and introducing the to-be-detected sample into a mass spectrometer for analysis. The technical problem that the mass spectrometry efficiency is low due to the fact that manual intervention is needed in the sample injection process of an existing mass spectrometer is solved, and the technical effects that automatic sample injection control is achieved through automatic sample recognition and intelligent parameter matching, and the overall mass spectrometry efficiency is improved are achieved.

Methods and systems are disclosed for predictive classification of a raw mass spectrum of a sample, the spectrum resulting from mass spectrometry analysis. The predictive classification is performed by a trained large-scale spectral model, including a self-supervised large-scale base spectral model trained with unidentified sample spectra from a plurality of sources and fine-tuned with a task-specific model trained with identified spectra.

Disclosed are systems and methods for facilitating compound identification based on analytical data obtained from an analytical instrument such as, for example, a mass spectrometer.

A method of performing liquid chromatography (LC) with an LC system including an LC column and an analyzer includes delivering a transport liquid to an open port interface (OPI) of a sample receiving circuit, wherein the sample receiving circuit includes a sample transfer chamber. A sample is ejected from a sample holder into the OPI with a non-contact ejector. The transport liquid and the sample are received in the sample transfer chamber. The sample transfer chamber is decoupled from the sample receiving circuit. A solvent is delivered to the analysis circuit. The sample is pushed from the sample transfer chamber with the solvent. The sample and the solvent is passed through the LC column to produce an eluent. The eluent is analyzed with the analyzer.

An example method performed via a computing device for providing support for a mass spectrometry (MS) system includes obtaining from a mass spectrometry library (i) a ranked hit list of reference spectra corresponding to a set of fragmented spectra of an analyte acquired with the MS system; and (ii) a first set of metadata corresponding to the list of sorted hit items for the reference spectrum. The method also includes obtaining, from the MS system, a second set of metadata corresponding to the set of fragmented spectra. The method further includes evaluating an order of entries in the ranked hit item list with a machine learning model based on the first set of metadata and the second set of metadata.

A method for collaborative source apportionment of volatile organic compounds (VOCs), a product, a medium, and a device are provided. The method includes: establishing a single particle classification model; training and optimizing the single particle classification model with a local pollution library, and analyzing pollution sources of single particle mass spectrometric data to be apportioned to obtain a time series of the pollution sources contributing to the particulate matter (PM); obtaining VOCs factors of the pollution sources and a time series thereof; performing correlation calculation on the time series of the pollution sources contributing to the PM and the time series of the VOCs factors to obtain a correlation coefficient; and attributing the PM and the VOCs factor having the correlation coefficient higher than a set threshold to a same pollution source, and identifying a common pollution source of the PM and the VOCs.

Systems and methods are provided for obtaining raw mass spectrometry data from samples, extracting a subset of the raw mass spectrometry data based on storage characteristics of the computing system, storing the subset of the raw mass spectrometry data within a storage of the computing system, and transmitting the stored subset to a machine learning component.

A method of analysis using mass and / or ion mobility spectrometry or ion mobility spectrometry is disclosed comprising: using a first device to generate aerosol, smoke or vapour from one or more regions of a first target of biological material; and mass and / or ion mobility analysing and / or ion mobility analysing said aerosol, smoke, or vapour, or ions derived therefrom so as to obtain first spectrometric data. The method may use an ambient ionisation method.

The method for non-targeted mass spectrometric identification of tobacco carbonyl components includes the steps of: (1) preparing a tobacco sample extract; (2) derivatizing the extract with 2,4-dinitrophenylhydrazine (DNPH) to obtain a first tobacco sample; (3) derivatizing the extract with DNPH-d3 instead of DNPH to obtain a second tobacco sample; (4) preparing a mixed tobacco sample; (5) preparing a blank sample; (6) performing UPLC-Orbitrap-HRMS analysis on each of the first tobacco sample, the second tobacco sample, the mixed tobacco sample, and the blank sample to obtain LC-MS raw data; (7) processing the LC-MS raw data to obtain raw mass spectrometry characteristic data; (8) performing multistage filtering on the raw mass spectrometry characteristic data; and (9) performing structural annotation or identification on the finally retained chromatographic peaks to obtain tobacco carbonyl components. By performing multi-stage filtering on the mass spectrometry profile data, the chromatographic-mass spectrometry information of noise or interference components in the raw data set can be rapidly removed to obtain compositional information of aldehyde and ketone chemical components in cigarettes.

A method of determining a confidence measure of precursor inference in mass spectrum data. The method includes evaluating the response profile using response profile metrics and reporting the confidence measure of the precursor inference using the response profile and the evaluating of the response profile. Also a method of detecting conflicting relationships between precursors including filtering an intensity at at least one position across the scanning ion transmission window dimension. Another method a method of detecting conflicting relationships between precursors includes generating, based on an encoding, a trace of the scanning ion transmission window dimension wherein each sum is substituted with a binary metric for presence of the at least one unique product ion in each window. Further a method of identifying a precursor m / z including determining an intercept between the rising linear function and the falling linear function, and identifying the precursor m / z using the intercept.

A measured mass spectrum and intensity data provided as a function of m / z and at least one additional dimension are received. Peaks of the measured spectrum are compared to peaks of each of a plurality of library mass spectra. A set of library mass spectra is identified using a fit score. For each spectrum of the set, a group of related peaks of the measured spectrum calculated using a deconvolution algorithm is recalculated. The recalculation lowers a threshold for selection in the group if a matching peak of the library spectrum contributed to the fit score. A group of related peaks of the measured spectrum is produced for each library spectrum. For each spectrum of the set, peaks of the group are compared to peaks of the library spectrum and a purity score is calculated. At least one library spectrum of the set with the highest purity score is identified.

The disclosure concerns a method of analysing a sample comprising an intact membrane protein, in a sample comprising non-synthetic biological membrane material. The method involves irradiating a gas phase proto membrane protein ion with infrared irradiation from a laser source.

Aspects of the present disclosure relate generally to systems and methods for use in the implementation and / or operation of quantum information processing (QIP) systems, and more particularly, to a technique for the fabrication of laser-ablation targets used in atomic sources for QIP systems that are based on atomic-based qubits.

Systems and methods are provided for predicting the mass spectrum of an unknown compound. An experimental mass spectrum of a known compound is obtained. One or more mass peaks of the experimental mass spectrum corresponding to a substructure of the known compound are annotated with at least one modification an unknown compound is predicted to include. An in-silico mass spectrum is created for the unknown compound from the experimental mass spectrum and the annotated one or more mass peaks. The unknown compound is then identified from a sample by mass analyzing the sample, producing an unknown experimental mass spectrum, and comparing the unknown experimental mass spectrum to the in-silico mass spectrum.

This invention relates to a method for detecting the activity of a toxin produced by bacteria of the families Peptostreptococcaceae or Clostridiaceae using mass spectrometry, which comprises the following steps: a) providing a planar surface suitable for mass spectrometry measurement, with attached affinity molecules; b) incubating the planar surface from step a) with the substrate of the toxin to be detected, to bind the substrate to the affinity molecules; c) subsequently incubating the planar surface from step b) with a sample in which the active toxin is to be detected, in the presence of a modification compound, and incubating it for a time sufficient for the substrate to react with the modification compound in the presence of the active toxin, if present in the sample, to form a modified substrate if the active toxin is present in the sample; d) removing the remnants of the sample; e) subjecting the (modified) substrate on the planar surface to matrix-assisted laser desorption / ionization, ionizing it and subsequently measuring the mass spectrum of the (modified) substrate; f) analyzing the measured mass spectrum, such that if the measured mass spectrum corresponds to the non-modified substrate, the active toxin is not present, and if the measured mass spectrum corresponds to the modified substrate or a mixture of the modified and non-modified substrate, then the active toxin is present in the sample. The invention further relates to a device for the soft landing of affinity molecule ions onto a planar surface suitable for mass spectrometry for carrying out step a) of the above method.

The utility model relates to the technical field of waste gas emission devices, and discloses a waste gas emission device which comprises a waste gas emission assembly. According to the waste gas emission device and the liquid chromatography tandem mass spectrometer, a plurality of gas inlet pipes and an exhaust main pipe are integrated through the treatment box, multi-channel waste gas centralized treatment is achieved, the servo motor drives the reciprocating lead screw to drive the cleaning brush to reciprocate along the guide rod, a filter screen made of a stainless steel sintered mesh material is automatically cleaned, blockage is avoided, and the working efficiency is improved. The fan assembly accelerates waste gas flowing through a gas collecting hood, a rotating shaft of the fan assembly is in linkage with a first chain wheel, a second chain wheel and a chain through a first bevel gear, a transmission rod and a second bevel gear, the cleaning system can drive the auxiliary exhaust function to work, extra energy consumption is not needed, and the device is more practical; a waste gas pipe on the liquid chromatogram tandem mass spectrometer body is communicated with a gas inlet pipe on one side of the treatment box through a second one-way valve and a second electromagnetic valve, so that directional conveying of waste gas is ensured, and the scheme realizes a self-cleaning effect through mechanical linkage.

A method for assessing a molecular or isotopic composition of a fluid includes analyzing a proportion of the fluid derived from a source to determine the source of the fluid, quantifying the proportion of the fluid derived from one or more sources, and assessing the relationships of chemical species within the fluid to validate the source of the fluid. This assessment can be accomplished through the direct measurement of molecular composition of fluid mixtures or the isotopic composition of specific fluids in that mixture, and / or a combination of statistical, thermodynamics, or kinetic modelling of these chemical reactions. The results of these measurements and models can be used to verify the source and conditions of various forms of hydrogen or other resources.

Atomic object confinement apparatuses comprising periodic or quasi-periodic arrays of legs, including curved legs, and systems comprising such atomic object confinement apparatuses are provided. The atomic object confinement apparatus comprises a plurality of legs with each leg of the plurality of legs defining a one-dimensional trap segment; and a plurality of junctions with each junction of the plurality of junctions connecting at least two legs of the plurality of legs. The plurality of legs and the plurality of junctions are arranged into a periodic or quasi-periodic array of connected one-dimensional trap segments. The periodic array or quasi-periodic array comprises one or more smallest array elements. Each smallest array element of the one or more smallest array elements comprises at least one curved leg.

The application discloses a kind of artificial cells for single-cell mass spectrometry and preparation method thereof, wherein artificial cell includes internal water phase, intermediate oil phase and external water phase;Internal water phase includes polyethylene glycol and polyvinyl alcohol aqueous solution, intermediate oil phase includes L-alpha-phosphatidylcholine chloroform and hexane mixture;External water phase includes PVA and F-68 aqueous solution.Compared with natural cell sample, the novel artificial single cell based on microfluidic self-assembly developed in the application has better uniformity, stability and controllability, effectively avoids significant measurement difference between single-cell individual samples, and effectively solves the problem of difficult stable preservation of biological samples.The proposed artificial cell preparation method will largely solve the problem of lack of standard reference material in the field of single-cell mass spectrometry, making the results of single-cell mass spectrometry method more accurate, reliable and mutually recognized.

To provide a method and system for protein characterization using online chromatography and electrospray ionization mass spectrometry.SOLUTION: A method for protein characterization comprises the steps of: contacting a sample including protein to a chromatography system with a size exclusion chromatography resin; cleaning the size exclusion chromatography resin using a mobile phase to obtain an eluent containing the protein; and characterizing the protein in the eluent using an electrospray ionization mass spectrometer under non-denaturing conditions.SELECTED DRAWING: Figure 2

A method for analyzing a sample using an electron microscope includes: generating ions, molecules, or other particles, such as droplets, from a target sample; introducing the ions, molecules, or other particles into a vacuum cavity of a transmission electron microscope (TEM) in a direction intersecting the path of a pulsed electron beam; recording an electron diffraction pattern associated with the ions through which the pulse passes at each pulse of the electron beam; and calculating the three-dimensional (3D) structure of the ion species based on the recorded electron diffraction pattern.

The method for non-targeted mass spectrometric identification of tobacco carbonyl components includes the steps of: (1) preparing a tobacco sample extract; (2) derivatizing the extract with 2,4-dinitrophenylhydrazine (DNPH) to obtain a first tobacco sample; (3) derivatizing the extract with DNPH-d3 instead of DNPH to obtain a second tobacco sample; (4) preparing a mixed tobacco sample; (5) preparing a blank sample; (6) performing UPLC-Orbitrap-HRMS analysis on each of the first tobacco sample, the second tobacco sample, the mixed tobacco sample, and the blank sample to obtain LC-MS raw data; (7) processing the LC-MS raw data to obtain raw mass spectrometry characteristic data; (8) performing multistage filtering on the raw mass spectrometry characteristic data; and (9) performing structural annotation or identification on the finally retained chromatographic peaks to obtain tobacco carbonyl components. By performing multi-stage filtering on the mass spectrometry profile data, the chromatographic-mass spectrometry information of noise or interference components in the raw data set can be rapidly removed to obtain compositional information of aldehyde and ketone chemical components in cigarettes.

Disclosed are methods and systems that can detect, monitor, adjust, and optimize fluid dynamic conditions within a sampling system comprising a transport capillary (e.g., an open port interface). The methods and systems detect an acoustic signal within the sampling system and, based on characteristics of the detected acoustic signal, adjust flow rate conditions of the liquid and / or airflow in the sampling system. Also provided are automated control and feedback systems (e.g., automated feedback adjustments made to an inlet pump flow rate, nebulizer gas flow rate, or both) that adjust, tune, and maintain flow conditions within a transport line based on a detected acoustic signal.

An ion repulsive surface, comprises: a first plurality of elongated electrodes distributed along an axis, configured to receive a first RF voltage with an asymmetric waveform; and a second plurality o