The present invention provides a method comprising a step of estimating the kidney function of an arbitrary subject by a regression analysis which employs the amount of a D, L-amino acid in a biological sample from the arbitrary subject as an explanatory variable and employs the amount of filtrated glomeruli in the arbitrary subject as an object variable, by employing a previously determined formula (I): Y=a.sub.1.Math.X.sub.1+a.sub.2.Math.X.sub.2+ . . . +a.sub.n.Math.X.sub.n+b (I) [wherein a.sub.1 to a.sub.n independently represent a constant obtained by the regression analysis; X.sub.1 to X.sub.n independently represent a variable of the amount of the D,L-amino acid which is selected by the regression analysis; and b represents a constant obtained by the regression analysis] on the basis of the Y value calculated from the amount of the D, L-amino acid in the biological sample from the object to be evaluated. Also provided is a system for carrying out the method.

A method for anomaly detection and diagnosis in a chromatography system including a sample handling unit, a chromatographic separation unit, and a detection unit is disclosed. The method can include performing, with the chromatography system, a chromatography analysis of a sample to obtain a chromatogram of the sample, the sample including a known quantity of a reference standard. The method can also include determining peak information corresponding to the reference standard in the chromatogram and determining whether the peak information conforms with an expected response of the chromatography system associated with the reference standard. If the peak information does not conform with the expected response, the method can include determining that there is an anomaly in the operation of the chromatography system and diagnosing a cause of the anomaly as relating to the operation of at least one the sample handling unit, the chromatographic separation unit, and the detection unit.

A chromatographic data system processing apparatus includes a standard sample time table for prestoring a first retention time and a first allowable width of each peak of specific components of a standard sample, a determination unit for determining whether a number of peaks coincides with a specified number when a peak cannot be identified, an alteration unit for altering the standard sample time table by increasing the first allowable width of a specific component to an altered allowable width, an identification unit for identifying the peaks based on the altered standard sample time table when all peaks fall within a range of the altered allowable width, and a setting unit for acquiring an actually-measured retention time of the peaks, and setting a measurement sample time table based on the actually-measured retention time and a second allowable width when the peaks are identified based on the altered standard sample time table.

A method for measuring a proportion of sA1c (%), which includes, when a peak derived from abnormal hemoglobin D, abnormal hemoglobin S or abnormal hemoglobin C is identified, calculation of the peak area, and measurement of the proportion of sA1c (%) corrected by using the calculation results. Results of measurement are obtained, by cation exchange chromatography, of sA1c (%) with a subject who provided a blood sample containing abnormal hemoglobin D, abnormal hemoglobin S or abnormal hemoglobin C by eliminating influences by such abnormal hemoglobin.

A method for identifying converters from tobacco seedling population. The method includes: 1) sowing and cultivating tobacco seeds to be identified for 45-55 days; sampling a plurality of leaf disks from each of 45-55 days old seedlings; 2) incubating the plurality of leaf disks of each seedling in a sealed container at 37° C. for 10-12 hours, thereby obtaining a plurality of incubated tobacco leaves of each seedling; 3) immersing the plurality of incubated tobacco leaves of each seedling in an extractant, extracting alkaloids and obtaining an extract of each seedling; 4) analyzing the amounts of nicotine and nornicotine in the alkaloids extract of each seedling; and 5) automatically recognizing peaks of the alkaloids extract of each seedling, and calculating the percent nicotine conversion (PNC) and the pseudo percent nicotine conversion (PPNC).

A waveform analytical device 4 which analyzes a target waveform which is a chromatogram or an optical spectrum includes a waveform division unit 54 configured to divide the target waveform into a plurality of partial waveforms, a determination unit 55 configured to determine whether each of the plurality of partial waveforms of the target waveform is a peak portion using a learned model created by machine learning using a plurality of sets of a plurality of partial waveforms created by dividing a reference waveform having a peak portion whose position is known, and a classification unit 56 configured to classify the target waveform into a peak region where the peak portion continues and a non-peak region other than the peak region based on a determination result from the determination unit.

A method for detecting a peak in data of a chromatogram or a spectrum, includes: detecting multiple tentative peaks in the data on the basis of a predetermined criterion; determining an actual measurement value of a predetermined feature value indicating a size of a tentative peak from each of the detected multiple tentative peaks, the feature value; determining a smoothed curve on the basis of respective horizontal axis values and actual measurement values of the multiple tentative peaks; determining a reference value of the feature value with respect to each of the multiple tentative peaks from the smoothed curve; and detecting, of the multiple tentative peaks, a tentative peak whose actual measurement value is within a predetermined range from the corresponding reference value as a true peak. Only tentative peaks whose actual measurement value is within a predetermined range from the corresponding reference value as a true peak.

A method for determining a quantity of an analyte in a liquid sample, comprises: adding a known quantity of an internal standard comprising an isotopically labeled version of the analyte to the sample; (b) providing a continuous stream of the sample having the internal standard to an inlet of a Liquid Chromatography Mass Spectrometry (LCMS) system; and repeatedly performing the steps of: performing a data-independent analysis of the precursor ion species using a mass analyzer, whereby mass spectra of a plurality of fragment-ion species are acquired; calculating one or more degree-of-matching scores that relate to either a number of ions of the internal standard that overlap between results of the data-independent analysis and tabulated mass spectral data of the internal standard; and performing quantitative tandem mass spectrometric analyses of the internal standard and the analyte if each of the degree-of-matching scores meets a respective degree-of-matching condition.

An analytical data analysis system (2) is a system that identifies composition substances contained in the sample to be analyzed and non-composition substances that are not the composition substance contained in the sample to be analyzed by comparing a standard chromatogram and an analysis target chromatogram. The analytical data analysis system (2) includes a non-composition substance information holding part (12) holding identification information and information on a peak expression position on a chromatogram of substances that may exist as the non-composition substance, a chromatogram synthesis part (16) configured to synthesize the information held in the non-composition substance information holding part with the standard chromatogram in order to describe identification information and the peak expression position of the substances that may exist as the non-composition substance on the standard chromatogram in which the composition substances of the standard sample are described, and a chromatogram display part (18) configured to display the analysis target chromatogram together with the standard chromatogram synthesized by the chromatogram synthesis part (16) on the display device (6).

To make it easy to address the case in which a chromatograph does not appropriately operate. A chromatograph (liquid chromatograph 100) for analyzing a sample by supplying an eluent and the sample and separating a component contained in the sample to detect the component, the chromatograph including: a detection portion (controller 170) configured to detect a fault in the analysis; and an operation controller (controller 170) configured to cause a constituent element related to the analysis to perform at least one of an operation for identifying a factor of the fault and an operation for avoiding the fault.