A method for determining optimal values of a mass spectral operating parameter for mass spectral analysis of each of a plurality of compounds comprises: acquiring a plurality of mass spectral measurements of each of at least one characteristic ion species of each respective compound during its introduction into a mass spectrometer while a quantity of each introduced compound varies with time wherein, for each characteristic ion species, the operational parameter is caused to vary between successive mass spectral measurements of the said species; calculating, for each characteristic ion species, a corrected intensity of at least a portion of the plurality of mass spectral measurements of said each species, based on a best-fit synthetic model curve that relates to the time variation of the respective corresponding compound; and determining the optimal values of the operating parameter from analyses of variation of the corrected intensities with respect to the operational parameter variation.

A method for operating a data processing system to find peaks in a mass spectrum that includes an ordered set of measurements of the abundances of species as a function of the mass/charge ratio of the species is disclosed. The method includes selecting a candidate blob that has a plurality of blob peaks from the mass spectrum. The data processing system selects a candidate blob peak for characterization. The candidate blob peak is approximated by a first species peak using a species peak model having a plurality of parameters by fitting the species peak model to a portion of the blob that has values that are substantially free of contributions from other species peaks that overlap with the first species peak and that are not represented by the species peak model. The first species peak is then subtracted from the candidate blob.

An automated method of monitoring a state of an analyzer is provided including a mass spectrometer (MS) with an electrospray ionization (ESI) source coupled to a liquid chromatography (LC) stream, including monitoring an electrospray ionization current of the ESI source and identifying a condition of multiple conditions of the analyzer based on the monitored ionization current of the ESI source, one of the conditions being a presence of a dead volume in a liquid chromatography stream of the analyzer downstream of an LC column of the LC stream.

A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained at each measurement point in a sample's measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak having a mountain shape. When an operator specifies a target compound to be observed, a mass difference calculation unit calculates a mass difference between a precise m/z of the target compound and an m/z of a rod-like peak at a position close to the precise m/z for each measurement point. A mass difference image creator creates an image showing a distribution of mass differences based on the calculated mass differences. A mass difference related information calculation unit acquires an index value such as an average value of a plurality of mass differences for each mass difference image, and creates a graph showing a frequency distribution of the mass differences.

A peak-waveform conversion processor detects a peak in a profile spectrum created based on data obtained in each micro area in a measurement area, and acquires a rod-like peak by performing centroid conversion processing on a waveform of the peak in a mountain shape. When receiving a precise m/z value Ma of a target compound and an allowable range ΔM of m/z, an image creator determines whether or not there is a rod-like peak in a range defined by “Ma±ΔM”, for each micro area. When there is a rod-like peak, a height value of the rod-like peak is defined as the signal intensity value of the target compound in the micro area. In contrast, when there is no rod-like peak in the range defined by “Ma±ΔM”, the signal intensity value of the target compound in the micro area is set to zero.

An analyzer configured to acquire a chromatogram or spectrum by performing a predetermined analysis of a sample and perform a qualitative or quantitative analysis of components contained in the sample. The analyzer includes: a peak detection unit configured, based on information regarding a plurality of target components that need to be checked whether contained in the sample or that need to be quantified, to detect a peak or peaks in the chromatogram or spectrum acquired by the predetermined analysis of the sample corresponding to one of the target components, configured to acquire peak information regarding each of the peak or peaks, and configured to obtain confidence information for each of the peak or peaks, the confidence information being an indicative value of certainty of detecting a peak; and a display processing unit configured to display on a display unit a list of at least a part of the target components.

A method for operating a spectral data processing system. The method includes receiving a user input associated with processing of a spectral data of a chemical sample at least partly using a machine learning processing model. The machine learning processing model is arranged in a machine learning controller of the spectral data processing system. The method also includes training the machine learning processing model based on the received user input.

A gas analyzer includes: a column that separates a component in a sample gas; a valve that switches, between a test sample gas and a standard sample gas, the sample gas to be supplied to the column; a valve that adjusts an introduction amount of the sample gas to be supplied to the column; a detector that detects, by gas chromatography, the component in the sample gas separated by the column; and a control device. The control device controls the valve to allow the introduction amount to be a predetermined amount, calculates a peak area value of a chromatogram obtained by the detector when the introduction amount is the predetermined amount, and calculates a correspondence between the introduction amount and the peak area value.

A computer implemented method for automatic peak integration of at least one chromatogram of at least one sample. The method comprises retrieving at least one chromatogram of the chemical related substance and at least one chromatogram of the analyte; evaluating the chromatogram of the chemical related substance, wherein the evaluating comprises determining at least one initial value for analyte retention time by determining retention time of the chemical related substance and adding the retention time of the chemical related substance with a pre-determined or pre-defined constant offset and/or multiplying the retention time of the chemical related substance with a pre-determined or pre-defined constant factor; evaluating the chromatogram of the analyte, wherein the evaluating comprises at least one position determining step; and at least one peak integration step, wherein analyte peak area and analyte peak shape are determined by applying at least one fitting analysis to the chromatogram of the analyte.

A waveform processing assistance device includes an acquirer that acquires a correspondence relationship between a plurality of values of a waveform processing parameter and a plurality of results of waveform processing as a plurality of peak separation information pieces in regard to a plurality of peaks that are separated from one or a plurality of waveform data pieces based on the plurality of values of the waveform processing parameter, a determiner that determines robustness of each value of the waveform processing parameter based on a plurality of peak separation information pieces acquired by the acquirer, and a display controller that causes the display to display a plurality of peak separation information pieces acquired by the acquirer and a robustness information piece representing robustness of each value of the waveform processing parameter that is calculated by the determiner.