Patent classifications
H01J49/164
Method for structural analysis of organic compound
One mode is a method for the structural analysis of an organic compound by MALDI mass spectrometry, including: a sample preparation process (S1) which includes preparing a sample by mixing a specimen containing an organic compound to be analyzed with a predetermined matrix at a mixture ratio within a range from 1:5 to 1:5000 in molar ratio; a mass spectrometry process (S3) which includes irradiating the prepared sample with a laser beam having a spot size equal to or smaller than 15 μm to generate ions originating from a component of the specimen in the sample, and performing a mass spectrometric analysis of the generated ions; and an analyzing process (S4) which includes detecting, from a mass spectrum acquired in the mass spectrometry process, ions including product ions resulting from in-source decay, and estimating the structure of the organic compound to be analyzed based on information concerning the ions.
METHOD FOR ASSESSING DRUG-RESISTANT MICROORGANISM AND DRUG-RESISTANT MICROORGANISM ASSESSING SYSTEM
A method for assessing drug-resistant microorganism includes the following steps. A model establishing step is performed so as to obtain an antibiotic resistance assessing classifier. A test sample is provided. A sample pre-processing step is performed so as to obtain a processed sample. An analysis step is performed so as to obtain a target mass spectrum data. A spectrum pre-processing step is performed so as to obtain a normalized target mass spectrum data. A feature extraction step is performed so as to obtain a spectrum feature. An assessing step is performed, wherein the spectrum feature is analyzed by the antibiotic resistance assessing classifier so as to output an assessed result of drug-resistant microorganism, and the assessed result of drug-resistant microorganism is for assessing whether the test microorganism is a drug-resistant microorganism or not.
METHOD FOR THE ANALYTICAL MEASUREMENT OF SAMPLE MATERIAL ON A SAMPLE SUPPORT
Disclosed is a method for analytically measuring sample material deposited on a sample support surface, comprising: (a) defining a plurality of regions on the surface, several of which are in contact with sample material, (b1) sampling sections of sample on a region using a desorbing beam to generate desorbed molecules, which are ionized and transferred to an analyzer, (b2) in so doing, sweeping the region by changing an orientation setting of the beam relative to the surface along a non-rectilinear trajectory on the region selected from a plurality of predefined, non-rectilinear trajectories while keeping the support in one position, (c) transitioning from a swept region to a region to be swept next using spatial adjustment of the support, and (d) repeating steps (b1), (b2), and (c) until a predetermined termination condition is fulfilled. A system for analyzing ions, having an ion generation device and a control unit is also disclosed.
ALUMINUM THIN FILM MICROARRAY CHIP SUBSTRATES FOR BIOSENSING VIA SURFACE PLASMON RESONANCE SPECTROSCOPY AND IMAGING
A thin aluminum film substrate and microarrays thereof including a substrate and a thin film of aluminum deposited on the substrate for surface plasmon resonance analysis. Methods of forming the thin aluminum film substrate and microarrays including providing a substrate, using electron-beam physical vapor deposition (EBPVD) to deposit a thin film of Al on a surface of the substrate. Also disclosed are methods of detecting an analyte, wherein a functionalized surface of the thin aluminum film includes a biomolecule and the methods include applying a sample including the analyte to the thin aluminum film substrate, and using surface plasmon resonance (SPR) spectroscopy to detect molecular interactions between the biomolecule and the analyte at a surface of the thin aluminum film substrate. In some examples, an unmodified Al film with an Al.sub.2O.sub.3 layer is effective in enriching phosphorylated peptides. In some examples, a coating of an ionic polymer is used to analyze charged-based interactions of biomolecules.
Spectrum calculation processing device, spectrum calculation processing method, ion trap mass spectrometry system, ion trap mass spectrometry method and non-transitory computer readable medium storing spectrum calculation processing program
A spectrum acquirer acquires a plurality of mass spectrums. A specific physical quantity calculator calculates a specific physical quantity reflecting an amount of ions with respect to each of the plurality of obtained mass spectrums. A spectrum sorter sorts the plurality of mass spectrums in order of the specific physical quantity calculated with respect to each mass spectrum. A display controller allows a display to display the plurality of sorted mass spectrums. A spectrum selector selects a plurality of mass spectrums having specific physical quantities in a designated range from the plurality of displayed mass spectrums. A post-selection spectrum integrator integrates the plurality of selected mass spectrums. The display controller allows the display to display the post-selection integrated mass spectrum.
Data Processing Device and Method for the Evaluation of Mass Spectrometry Data
A data processing device comprises a processor unit adapted to process a plurality of initial data vectors provided by a chromatograph and/or a mass spectrometer, the processing being carried out in one, two or more processing steps producing items of processed data, and a storage unit adapted to save and retrieve initial data vectors and/or items of processed data, in particular processed data vectors or identified compounds, and/or items of additional data, in particular properties of the sample introduced in the mass spectrometer. Each item of processed data and/or additional data is connected to at least one initial data vector, and wherein the processor unit is adapted to group, select and/or modify initial data vectors and/or items of processed data according to one or more items of additional data.
METHOD FOR RAPID DETECTION OF DRY EYE SYNDROME
A method for rapid detection of dry eye syndrome includes collecting a first tear fluid from healthy participant and a second tear fluid from patient with eye dryness; isolating EV samples from the first tear fluid; acquiring a first fingerprint diagram of proteomes of the EV samples from the first tear fluid, the first fingerprint diagram comprises a plurality of first discriminant peaks; isolating EV samples from the second tear fluid; acquiring a second fingerprint diagram of proteomes of the EV samples from the second tear fluid, the second fingerprint diagram comprises a plurality of second discriminant peaks; and comparing the first discriminant peaks and the second discriminant peaks to determine whether the patient has the DES. This is a fast and precise method for detecting the DES of the participant.
Spectrometric analysis
A method of spectrometric analysis comprises obtaining one or more sample spectra for an aerosol, smoke or vapour sample. The one or more sample spectra are subjected to pre-processing and then multivariate and/or library based analysis so as to classify the aerosol, smoke or vapour sample. The results of the analysis are used for various surgical or non-surgical applications.
Use of anthranilic acid derivative as matrix for MALDI mass spectrometry
A use of an anthranilic acid derivative as a matrix for a MALDI Mass spectrometry, comprising: preparing a matrix compound represented by the following formula: ##STR00001## wherein X is selected from hydrogen and a hydroxyl group, and Y is selected from hydrogen, a methyl group or an acetyl group, provided that when X is hydrogen, Y is hydrogen or an acetyl group, and when X is a hydroxyl group, Y is a methyl group; applying the matrix compound and an analyte onto a sample holder; and analyzing the analyte by the MALDI mass spectrometer.
ANALYSIS DEVICE
An analysis device collects data by performing a predetermined analysis on each specimen and processes the data. The analysis device includes an analysis processing unit (23) configured to execute multivariate analysis processing based on collected data for analysis of a difference between a plurality of measurement targets or classification of the plurality of measurement targets, a feature extraction unit (24) configured to extract a characteristic parameter or element estimated to be mainly related to a difference or classification from a multivariate analysis result according to a predetermined criterion, an image creation unit (25) configured to create an image of a predetermined two-dimensional range corresponding to the parameter or element extracted by the feature extraction unit, and a display processing unit (26) configured to assign a same visual aspect to the characteristic parameter or element extracted on the multivariate analysis result and the image created correspondingly and display the multivariate analysis result and the image on a display unit (4).