Abstract: The present invention provides a method for mass spectrometry of a negatively charged organic synthetic compound, and a matrix that can be used in said method. A method for mass spectrometry of a negatively charged organic synthetic compound, the method comprising using, as a liquid matrix, an ionic liquid comprising an amine ion and an acidic group-containing organic substance ion. For example, the amine is 3-aminoquinoline (3-AQ), and the acidic group-containing organic substance is p-coumaric acid (p-CA). The negatively charged organic synthetic compound to be analyzed is, for example, an organic synthetic polymer compound or a complex compound.

Abstract: Provided is a non-transitory computer-readable medium storing a program for causing a computer to execute the steps including a step of subjecting a sample containing microorganisms to mass spectrometry to obtain a mass spectrum, a step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum, and an identification step of identifying which bacteria of serovar of Salmonella genus bacteria the microorganisms contained in the sample contain, based on the mass-to-charge ratio m/z, wherein at least one of two types of ribosomal proteins S8 and Peptidylpropyl isomerase is used as the marker protein.

Abstract: To reduce defects in an oxide semiconductor film in a semiconductor device. To improve the electrical characteristics and the reliability of a semiconductor device including an oxide semiconductor film. In a semiconductor device including a transistor including a gate electrode formed over a substrate, a gate insulating film covering the gate electrode, a multilayer film overlapping with the gate electrode with the gate insulating film provided therebetween, and a pair of electrodes in contact with the multilayer film, a first oxide insulating film covering the transistor, and a second oxide insulating film formed over the first oxide insulating film, the multilayer film includes an oxide semiconductor film and an oxide film containing In or Ga, the first oxide insulating film is an oxide insulating film through which oxygen is permeated, and the second oxide insulating film is an oxide insulating film containing more oxygen than that in the stoichiometric composition.

Abstract: Provided is a method of identifying a serovar of Salmonella bacteria including a step of subjecting a sample containing microorganisms to mass spectrometry to obtain a mass spectrum, a step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum, and an identification step of identifying a serovar of Salmonella bacteria in the sample, based on the mass-to-charge ratio m/z, wherein the serovars of Salmonella bacteria are classified using cluster analysis using as an index the mass-to-charge ratio m/z derived from at least 12 types of ribosomal proteins S8, L15, L17, L21, L25, S7, SODa, peptidylprolyl isomerase, gns, YibT, YaiA and YciF as the marker proteins.

Abstract: A microorganism identification method according to the present invention includes a step of subjecting a sample containing microorganisms to mass spectrometry to obtain a mass spectrum, a step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum, and an identification step of identifying which bacteria of serovar of Salmonella genus bacteria the microorganisms contained in the sample contain, based on the mass-to-charge ratio m/z, in which at least one of two types of ribosomal proteins S8 and Peptidylpropyl isomerase is used as the marker protein.

Abstract: To provide a method for discriminating a microorganism by selecting and using a marker protein capable of reproducibly and quickly discriminating a bacterial species of the genus Listeria. The method for discriminating a microorganism according to the present invention includes: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Listeria bacteria the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 17 ribosomal proteins L3, L4, L23, L2, L24, L6, L18, S5, L15, S13, S11, L10, L21, L13, S9, L31, S16 is used as the marker protein and particularly at least one of 8 ribosomal proteins L24, L6, L18, L15, S9, L31, S16 among the 17 ribosomal proteins is used.

Abstract: To provide a method for discriminating a microorganism by selecting and using a marker protein capable of reproducibly and quickly discriminating a bacterial species of the genus Listeria. The method for discriminating a microorganism according to the present invention includes: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Listeria bacteria the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 17 ribosomal proteins L3, L4, L23, L2, L24, L6, L18, S5, L15, S13, S11, L10, L21, L13, S9, L31, S16 is used as the marker protein and particularly at least one of 8 ribosomal proteins L24, L6, L18, L15, S9, L31, S16 among the 17 ribosomal proteins is used.

Abstract: When a user inputs samples per group, a sample tree and a peak matrix are generated. Peak lists per group are shown in the sample tree, and m/z values and signal strength values from the peak lists are coordinates in the peak matrix. A multivariate analysis is applied to the generated peak matrix. The sample tree, peak matrix, score plot, and loading plot are displayed. When the user clicks a plotted point on the loading plot, a row indicating a corresponding peak on the peak matrix is discriminated. When the user deletes a checkmark corresponding to the discriminated row, the multivariate analysis is applied to the peak matrix from which the peak has been excluded. The score plot and other data are updated. When separation between groups is known from the score plot as failure, the excluded peak may be visually determined as a marker contributing to the group separation.

Abstract: An analysis method includes: acquiring data corresponding to a mass spectrum obtained by subjecting a sample containing a microorganism to mass spectrometry; and acquiring information on Group A Streptococcus of emm type 1, based on the presence or absence, or magnitude of a peak in a first range of m/z of 10930 or more to 10945 or less in the mass spectrum.

Abstract: To provide a method for discriminating a microorganism including: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Escherichia coli, Shigella bacteria, and Escherichia albertii the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 13 ribosomal proteins S5, L15, S13, L31, L22, L19, L20, L13, S15, L25, HNS, HdeB, and L29 is used as the marker protein.

Abstract: A microorganism identification method includes steps of: obtaining a mass spectrum through mass spectrometry of a sample including microorganisms; reading, from the mass spectrum, a mass-to-charge ratio m/z of a peak associated with a marker protein; and identifying which bacterial species of the genus Campylobacter are included in the microorganisms in the sample based on the mass-to-charge ratio m/z. The microorganism identification method is further characterized in that at least one of the following 18 marker proteins is used as the marker protein, S10, L23, S19, L22, L16, L29, S17, L14, L24, S14, L18, L15, L36, S13, S11 (Me), L32, and L7/L12.

Abstract: A microorganism identification method includes steps of: obtaining a mass spectrum through mass spectrometry of a sample including microorganisms; reading, from the mass spectrum, a mass-to-charge ratio m/z of a peak associated with a marker protein; and identifying which bacterial species of the genus Campylobacter are included in the microorganisms in the sample based on the mass-to-charge ratio m/z. The microorganism identification method is further characterized in that at least one of the following 18 marker proteins is used as the marker protein, S10, L23, S19, L22, L16, L29, S17, L14, L24, S14, L18, L15, L36, S13, S11 (Me), L32, and L7/L12.

Abstract: A microorganism identification method according to the present invention includes a step of subjecting a sample containing microorganisms to mass spectrometry to obtain a mass spectrum, a step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum, and an identification step of identifying which bacteria of serovar of Salmonella genus bacteria the microorganisms contained in the sample contain, based on the mass-to-charge ratio m/z, in which at least one of two types of ribosomal proteins S8 and Peptidylpropyl isomerase is used as the marker protein.

Abstract: An apparatus that identifies the type of a test cell based on a result obtained by performing mass spectrometry on the test cell includes a higher-level database, which contains mass lists that each list ion mass values of constituent components of a known cell, and a lower-level database, which contains partial mass lists that each list only strain-specific ion mass values out of the ion mass values. The higher-level database is first searched for a test mass list which is created from the result of the mass spectrometry performed on the test cell, and based on a result of the search, an organism species to be searched in the following search operation is determined. Mass values common to the organism species are subsequently deleted from the mass list for the test cell, and the mass list having undergone the deletion operation is used to search the lower-level database.

Abstract: An apparatus that identifies the type of a test cell based on a result obtained by performing mass spectrometry on the test cell includes a higher-level database, which contains mass lists that each list ion mass values of constituent components of a known cell, and a lower-level database, which contains partial mass lists that each list only strain-specific ion mass values out of the ion mass values. The higher-level database is first searched for a test mass list which is created from the result of the mass spectrometry performed on the test cell, and based on a result of the search, an organism species to be searched in the following search operation is determined. Mass values common to the organism species are subsequently deleted from the mass list for the test cell, and the mass list having undergone the deletion operation is used to search the lower-level database.

Abstract: An apparatus that identifies the type of a test cell based on a result obtained by performing mass spectrometry on the test cell includes a higher-level database, which contains mass lists that each list ion mass values of constituent components of a known cell, and a lower-level database, which contains partial mass lists that each list only strain-specific ion mass values out of the ion mass values. The higher-level database is first searched for a test mass list which is created from the result of the mass spectrometry performed on the test cell, and based on a result of the search, an organism species to be searched in the following search operation is determined. Mass values common to the organism species are subsequently deleted from the mass list for the test cell, and the mass list having undergone the deletion operation is used to search the lower-level database.

Abstract: To provide a method for discriminating a microorganism including: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Escherichia coli, Shigella bacteria, and Escherichia albertii the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 13 ribosomal proteins S5, L15, S13, L31, L22, L19, L20, L13, S15, L25, HNS, HdeB, and L29 is used as the marker protein.

Abstract: When a user inputs samples per group (S2), a sample tree and a peak matrix are generated. Peak lists per group are shown in the sample tree, and m/z values and signal strength values from the peak lists are coordinates in the peak matrix. Then, a multivariate analysis is applied to the generated peak matrix (S3-S4). The sample tree, peak matrix, score plot, and loading plot are displayed on an analysis main screen. When the user clicks a desired plotted point on the loading plot, a row indicative of a corresponding peak on the peak matrix is discriminated (S5-S7). When the user deletes a checkmark corresponding to the discriminated row, the multivariate analysis is applied to the peak matrix from which the peak has been excluded, and the score plot and other data are updated (S9-S10). When the separation between groups is known from the score plot as failure, the excluded peak may be visually determined as a marker contributing to the group separation.

Abstract: A microorganism identification method includes steps of: obtaining a mass spectrum through mass spectrometry of a sample including microorganisms; reading, from the mass spectrum, a mass-to-charge ratio m/z of a peak associated with a marker protein; and identifying which bacterial species of the genus Campylobacter are included in the microorganisms in the sample based on the mass-to-charge ratio m/z. The microorganism identification method is further characterized in that at least one of the following 18 marker proteins is used as the marker protein, S10, L23, S19, L22, L16, L29, S17, L14, L24, S14, L18, L15, L36, S13, S11 (Me), L32, and L7/L12.

Abstract: To provide a method for discriminating a microorganism by selecting and using a marker protein capable of reproducibly and quickly discriminating a bacterial species of the genus Listeria. The method for discriminating a microorganism according to the present invention includes: a step of subjecting a sample containing a microorganism to mass spectrometry to obtain a mass spectrum; a reading step of reading a mass-to-charge ratio m/z of a peak derived from a marker protein from the mass spectrum; and a discrimination step of discriminating which bacterial species of Listeria bacteria the microorganism contained in the sample contains based on the mass-to-charge ratio m/z, in which at least one of 17 ribosomal proteins L3, L4, L23, L2, L24, L6, L18, S5, L15, S13, S11, L10, L21, L13, S9, L31, S16 is used as the marker protein and particularly at least one of 8 ribosomal proteins L24, L6, L18, L15, S9, L31, S16 among the 17 ribosomal proteins is used.