Abstract: The present disclosure provides a method for creating learning data to be used for creating a discriminator discriminating target samples having attributes different from each other.

Abstract: The method according to the present invention includes: a training sample measurement process (S1, S2) in which, for a food product belonging to the same kind as a determination target, a plurality of training samples individually labeled with a known state of quality are subjected to a measurement using a chromatograph mass spectrometer under the same analysis condition; a training sample data collection process (S3, S4) in which an index value related to the magnitude of a peak observed on an extracted ion chromatogram obtained by the measurement is acquired for each training sample, and the index value of the peak at each retention time common to the training samples is extracted; and a discrimination model creation process (S5-S7) in which a supervised training is performed to create a discrimination model, using, as the training data, the index value of the peak at each retention time common to the training samples acquired for each of the labeled training samples.

Abstract: A processor performs processing for generating training data by processing a plurality of pieces of peak information obtained by a data obtaining unit. The processor deletes data on a peak missing in any of the plurality of pieces of peak information from each piece of peak information. When a coefficient of correlation of data between peaks among remaining peaks is equal to or larger than a prescribed value, the processor further deletes data on one peak of the peaks from each piece of peak information, and defines peak information including data on the remaining peaks as input data for data for learning.

Abstract: When a column is attached to an attachment location, first, a ferrule through which the column is inserted is heated and thus is fixed to the column. Then, the column to which the ferrule is fixed is attached to the attachment location. As described, when a user performs work of attaching the column to the attachment location, the ferrule is always fixed to a certain spot of the column. Therefore, it is possible to omit work of holding the ferrule such that the position of the ferrule with respect to the column does not shift when the work of attaching the column is performed. As a result, the column can be easily attached to the attachment location.

Abstract: At least one stable isotope reagent is added to each biological sample and standard sample to prepare biological samples for analysis and standard sample for analysis. The quality of the biological samples is evaluated using data of one set of biological samples for analysis composed of a plurality of biological samples for analysis. Besides, the quality of a pretreatment and/or analysis of each set of samples for analysis is evaluated using data obtained by analyzing the standard sample for analysis before and after an analysis of one set of samples for analysis. An abnormality in a chromatograph or mass analyzer used for the analysis of one set of samples is evaluated by the data obtained by analyzing a sample for device evaluation before and after the analysis of one set of samples for analysis. Thus, the quality of data obtained by chromatographic mass spectrometry on biological samples is comprehensively evaluated.

Abstract: The method according to the present invention includes: a training sample measurement process (S1, S2) in which, for a food product belonging to the same kind as a determination target, a plurality of training samples individually labeled with a known state of quality are subjected to a measurement using a chromatograph mass spectrometer under the same analysis condition; a training sample data collection process (S3, S4) in which an index value related to the magnitude of a peak observed on an extracted ion chromatogram obtained by the measurement is acquired for each training sample, and the index value of the peak at each retention time common to the training samples is extracted; and a discrimination model creation process (S5-S7) in which a supervised training is performed to create a discrimination model, using, as the training data, the index value of the peak at each retention time common to the training samples acquired for each of the labeled training samples.

Abstract: When a column is attached to an attachment location, first, a ferrule through which the column is inserted is heated and thus is fixed to the column. Then, the column to which the ferrule is fixed is attached to the attachment location. As described, when a user performs work of attaching the column to the attachment location, the ferrule is always fixed to a certain spot of the column. Therefore, it is possible to omit work of holding the ferrule such that the position of the ferrule with respect to the column does not shift when the work of attaching the column is performed. As a result, the column can be easily attached to the attachment location.

Abstract: Provided is a colorectal cancer inspection method by which the presence of early colorectal cancer at any one of stages from 0 to 2 can be accurately determined. The colorectal cancer inspection method includes: measuring the amounts of at least lactic acid, pyruvic acid, and glycolic acid among a plurality of kinds of in vivo metabolites contained in a biological sample collected from a test subject, based on data obtained by performing a chromatograph-MS/MS analysis on the biological sample; and determining the presence of colorectal cancer at any one of stages from 0 to 2, based on a measurement value of at least one of the lactic acid, the pyruvic acid, and the glycolic acid.

Abstract: At least one stable isotope reagent is added to each biological sample and standard sample to prepare biological samples for analysis and standard sample for analysis. The quality of the biological samples is evaluated using data of one set of biological samples for analysis composed of a plurality of biological samples for analysis. Besides, the quality of a pretreatment and/or analysis of each set of samples for analysis is evaluated using data obtained by analyzing the standard sample for analysis before and after an analysis of one set of samples for analysis. An abnormality in a chromatograph or mass analyzer used for the analysis of one set of samples is evaluated by the data obtained by analyzing a sample for device evaluation before and after the analysis of one set of samples for analysis. Thus, the quality of data obtained by chromatographic mass spectrometry on biological samples is comprehensively evaluated.