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 composition estimation target peak is selected from a mass spectrum of a sample, and a group of measured isotope peaks related to the composition estimation target peak is selected. A composition candidate for the sample is estimated based on the composition estimation target peak. A distribution of a theoretical isotope peak corresponding to the composition candidate is calculated. Presence or absence of an adduct ion or a desorbed ion in the sample is determined based on a first mass difference between isotopes in a distribution of the measured isotope peaks and a second mass difference between isotopes in the distribution of the theoretical isotope peak.

A known compound and at least one adduct, modified form, or peptide of the known compound are separated from a sample mixture and analyzed. An XIC is calculated for each of M product ions of the known compound and L product ions of the at least one adduct, modified form, or peptide. A first XIC peak group is calculated from the M XICs and a second XIC peak group is calculated from the L XICs using curve subtraction. Representative first and second XIC peaks are selected for the two XIC peak groups. The retention of the second XIC peak is shifted by an expected retention time difference found from a database. The retention time of the first XIC peak is verified as the retention time of the known compound if the difference of the retention times of the first and second XIC peaks is within a threshold.

A data processing method includes: a data preparing step of preparing actual data of a three-dimensional chromatogram including a chromatogram and a spectrum acquired by chromatography analysis for a sample containing a plurality of components, and spectral data for the plurality of components in the sample whose peaks overlap each other on the chromatogram of the actual data; a similarity calculating step of calculating, for each wavelength region, a similarity between wavelength regions corresponding to each other in the spectral data for the plurality of components prepared in the data preparing step while comprehensively changing the wavelength regions; a target range setting step of setting a target range by searching for a wavelength region having a similarity lower than an overall similarity between the spectral data for the plurality of components based on a calculation result in the similarity calculating step; and a peak separating step of creating chromatogram data for the plurality of components by performing, using the spectral data for the plurality of components, matrix decomposition of the actual data in the target range set in the target range setting step.

A program for assisting in determining a combination of parameter values of analysis conditions suitable for an intended analysis, makes a computer operate as: a graph-displaying section which displays, on a screen, a graph created based on data collected with a chromatograph device, to show a relationship between the parameter values and an analysis result obtained with the chromatograph device or a result of analytical processing based on the analysis result; an input-receiving section which receives a user's input of a constraint condition which specifies the upper/lower limit or range of a numerical value representing the analysis result or analytical-processing result; a search-conducting section which conducts a search for a combination of the parameter values which yields the analysis result or analytical-processing result in which the numerical value satisfies a predetermined search condition under the constraint condition; and a search-result-displaying section which displays a search result on the graph.

A method for analyzing spectra comprises identifying a set of sample peaks in a sample spectrum, where the sample peaks are associated with fragments of a sample, each having a sample fragment mass. A reference spectrum is selected with one or more reference peaks corresponding to fragments of a reference, each having a reference fragment mass. A mass difference can be determined between selected sample and reference peaks, and a group exchange can be selected based on the mass difference; e.g., where the group exchange represents a change in the sample or reference fragment masses associated with the selected peaks. The selected peaks can be shifted by the mass difference, and a fit value can be determined with respect to the reference spectrum. The fit value characterizes similarity between the respective sets of sample and reference peaks, responsive to the group exchange and corresponding peak shift.

When chromatogram data for a target sample have been acquired, a peak position estimator determines an estimated result of the position of the starting and/or ending point of a peak as well as the confidence value representing the reliability of the estimation, using a trained model stored in the trained model storage section. Normally, a plurality of estimated results of the starting point and/or ending point of the peak are acquired for one peak. A peak information correction processor identifies a candidate having the highest confidence as a prime candidate, and superposes a plurality of candidates including the prime candidate, with their respective confidence values, on a displayed chromatogram. An operator referring to the confidence values selects a peak which needs close checking or correction, and corrects the starting point and/or ending point of the selected peak, for example, by selecting and indicating a candidate other than the prime candidate.

Described herein are methods for evaluating polymer compositions comprising polymers modified with a polypeptide (e.g., a cell-binding polypeptide), including methods for determining polypeptide concentration.

The present invention discloses analytical high throughput methods for accurately, reliably, and efficiently screening and identifying polymers that are substantive to a particular material, such as hydroxyapatite. The present invention also discloses liquid chromatography columns for screening and identifying polymers that are substantive to a particular material, methods of preparing such liquid chromatography columns, and kits that may be used to screen and identify polymers that are substantive to a particular material.

The present invention generally pertains to methods of characterizing at least one protein of interest in a biological sample. In particular, the present invention pertains to the use of automated iterative tandem mass spectrometry (AIMS) to identify, quantify and characterize at least one protein of interest and/or biomarker from a biological sample such as plasma.