A method of extracting a mass trace from mass spectrometry data of a mass stream emitted from a separation device as a function of a separation parameter, the method comprising, receiving the mass spectrometry data, wherein the mass spectrometry data comprise a plurality of mass spectra each obtained for respective values of the separation parameter; identifying, from the plurality of mass spectra, a sequence of three or more intensity peaks that are ordered according to the separation parameter, wherein said identifying the sequence of intensity peaks comprises, selecting an initial intensity peak at an initial mass, and for each other intensity peak, selecting said intensity peak based on at least the mass of an adjacent intensity peak in the sequence of intensity peaks, the method further comprising, providing a mass trace, for a given emitted compound of the mass stream, from the identified sequence of intensity peaks.

Methods for transferring a separation procedure from a first chromatographic system to a second one are disclosed that involve substantially matching a pressure profile. In some such methods, a length, an area, and a particle size of a first column in the first system and a flow rate in the first separation procedure are identifiable. Some such methods also involve selecting a combination of a length, an area, and a particle size of a second column in the second system and a flow rate for the second separation procedure. These methods may involve calculating a target length, a target area, or a target particle size for the second column in the second system or a target flow rate for the second separation procedure.

Methods for transferring a carbon dioxide based separation procedure from a reference chromatographic system to a target chromatographic system involve alternative techniques for determining system pressure drops not attributable to the column. One technique involves leveraging experimental chromatography to develop a correction factor that is a function of at least one correction coefficient and at least one ratio of the differential analyte retention time to the retention time in the reference system. Another technique involves leveraging other experimental measurements of tubing pressure drops under various condition to develop a lookup table that can be used to identify likely tubing pressure drops in the target system. A third technique leverages knowledge of the separation procedure and the target system and the likely nature of the relevant flow to calculate tubing pressure drops in the target system.

An analytical method and an analytical system capable of more accurate analysis, in which a sample is analyzed by a capillary electrophoresis technique in which a voltage is applied to a sample solution introduced to a micro flow path, a separation analysis is performed for a component contained in the sample solution, and an optically measured value corresponding to an elapsed time after starting a measurement is measured. The analytical method comprises: a process of determining an interface arrival time point, based on the optically measured value when an interface between the sample solution and a migration liquid reaches a predetermined measurement position in the micro flow path; and a process of identifying the component contained in the sample solution using the optically measured value at the elapsed time after the interface arrival time point.

The present disclosure describes a computer implemented method, a system, and a computer program product of controlling the purification of a macromolecule solution via real-time multi-angle light scattering.

Exemplary embodiments provide methods, mediums, and systems for analyzing spectrometry and/or chromatography data, and in particular to techniques to improve the reproducibility of results of spectrographic and/or chromatographic experiments. For example, some embodiments provide techniques for normalizing mass spectrometry (MS) and/or liquid chromatography (LC) data across different experimental devices, allowing data from different cohorts to be directly compared. To this end, exemplary embodiments provide a reliable, reproducible target library usable across different platforms, laboratories, and users. One embodiment leverages statistical techniques to select experimental parameters configured to reduce or minimize the chance of misidentifying a target molecule. Another embodiment leverages the law of large numbers to produce a composite product ion spectrum usable across different experiments. The composite product ion spectrum allows regression curves to be generated, where the regression curves can be used to normalize an experimental mass spectrum.

The invention is a method for estimating a quantity or a concentration of particles using a detector disposed at the exit of a chromatography column. The estimation is carried out on the basis of a selection of a plurality of retention times within the histogram, each retention time being associated with an individual particle. The method aims to classify each retention time into one or more classes, each class being representative of a species of particles. The method can include an estimation of the number of classes.

A data analysis method for a component separation/tandem mass spectrometer system, including first and second MS steps which data therefrom includes respective sample components (MS1-SC, MS2-SC), includes analyzing per sample a data set for MS2-SC to determine mass-to-charge ratio and retention index (m/z-RI) for each MS2-SC. m/z-RI for each MS2-SC is compared to a known compound library and matching MS2-SC removed from the data set, the remaining MS2-SC being candidate MS2-SC. Clusters are formed across the candidate MS2-SC, each having m/z-RI within respective ranges per cluster. For each sample within each cluster, MS1-SC within the cluster ranges are retrieved. For each cluster, at most one consensus MS1-SC represents each sample, with corresponding consensus MS2-SC and m/z-RI, and designated as a molecular ion or derivative thereof. Clusters are grouped by consensus RI and candidate clusters from each group are selected and correlated by consensus parameters with an unknown compound.

A method of converting longer path cell signal data to shorter path cell signal data comprising: obtaining a longer path absorbance signal tracing and a shorter path absorbance signal tracing for at least one analyte band under the same conditions; obtaining an approximate superimposable match between the longer path absorbance signal tracing and the shorter path absorbance signal tracing using an amplitude scaling factor and one or more parameters derived from a dispersion model that accounts for dispersion differences between a short cell and a long cell; and applying the dispersion model in reverse using the derived parameters to future longer path absorbance signal traces from the longer path cell signal data to generate the shorter path cell signal data.

An object is to accurately detect peaks of various compositions, even in a case of unseparated peaks in which peaks of a plurality of compositions are superimposed. A computer acquires waveform data D1 having a peak P1 in a composition A measured by a data analysis device (S10). Next, the computer acquires waveform data D2 having a peak P2 in a composition B measured by the data analysis device (S20). Next, waveform data D12 including unseparated peaks by superimposing the waveform data D1 including the acquired peak P1 and the waveform data D2 including the acquired peak P2 (S30) is generated. Next, the generated waveform data D12 of the unseparated peaks is input as learning data, and the waveform data D1 and D2 corresponding to the waveform data D12 are input as training data in Step S40. Next, machine learning is performed using the waveform data D12, D1, and D2, and a learned model for estimating an accurate separation method of unseparated peaks is constructed based on the trained result (S50).