A chromatographic data system processing apparatus performs data processing based on plot data measured by a chromatograph. The chromatographic data system processing apparatus includes a virtual curve calculation portion which obtains a virtual curve based on the measured plot data, a tentative feature point acquisition portion which obtains a tentative feature point based on the obtained virtual curve, and an actual plot data feature point extraction portion which extracts an actual plot data feature point corresponding to the tentative feature point from the measured plot data.

An edible composition, an aerosol composition, a flavor composition, a fragrance composition, or an inhalable composition includes an organosulfur compound such as prenyl mercaptan, 2-methylthiophene, 3-methylthiophene, dimethyl disulfide, diprenyl disulfide, 3-methyl-2-buten-1-yl thiolacetate, 3-methyl-1-[(3-methyl-2-buten-1-yl)sulfanyl]-2-butene, prenylmethylthiol (1-(methylsulfanyl)-3-methyl-2-butene), prenyl thioacetate, thiogeraniol, dimethyl sulfide, or a combination of any two or more thereof, and a primary terpene compound selected from the group consisting of myrcene, β-caryophyllene, limonene, α-pinene, β-pinene, valencene, ocimene, terpinolene, or a combination of any two or more thereof.

A fraction collector control device includes a peak designation part that displays a chromatogram for setting and requires a user to select at least one peak in the chromatogram for setting, a parameter extraction part that extracts, as a parameter, a signal level and/or a slope at a start point and an end point of each peak designated by a user, and a threshold candidate generation part that generates, based on the parameter extracted by the parameter extraction part, a threshold candidate usable as a common threshold for detecting start points of all peaks designated by a user and a common threshold for detecting end points of all peaks designated by a user.

An analysis system includes a separation system that provides compounds to a sample cell of a spectrometric system. The system analyzes spectral information from the spectrometric system by optimizing retention windows for the compounds and identifies quantities of the compounds by comparing spectral information within and outside the respective retention windows.

This disclosure pertains to compositions comprising an anti-FcRn antibody, M281. The compositions include the full, intact antibody and size variants thereof that not include two antibody heavy chains and to antibody light chains. Thus, a M281 pharmaceutical composition can include: an antibody comprising a heavy chain comprising the amino acid sequence of SEQ ID NO:2 and a light chain comprising the amino acid sequence of SEQ ID NO:1, wherein the composition comprises a major protein component having a molecular weight of 140,00-145,000 Da and a minor protein component of molecular weight 118,000-120,000 Da.

The present invention relates to a method for providing a verified analyte measurement of a sample with a chromatography mass spectrometer device, said method comprising the following steps: a) admixing an interferent monitoring compound and, optionally an internal standard, to the sample; b) determining a chromatogram of the sample by acquiring a plurality of data points for signal intensities over time for said interferent monitoring compound, said analyte, and optionally said internal standard; and c) comparing a property of an interferent monitoring compound peak to a property of an internal standard peak and/or to a property of an analyte peak; and to methods and systems related thereto.

A management system (1) for managing an operation of a preparative LC (100), the management system (1) including an injection registration part (2) configured to display an injection registration screen in response to a request from the user and register a container designated by the user on the injection registration screen as an injection target container, a result display part (6) configured to display a chromatogram created based on an output signal of a detector (108) of the preparative LC, create fractionation information indicating a correspondence relationship between a position on the chromatogram of each fraction collected in an individual container by a fractionator (112) of the preparative LC and a position of a container in which each fraction is collected, and display the created fractionation information as a fractionation result screen, a reinjection registration part (8) configured to allow the user to designate a fraction to be reinjected on the fractionation result screen, and configured to register a container in which the fraction designated by the user is collected as a reinjection target container when the fraction to be reinjected is designated by the user, and a controller (4) that controls operation of an injector of the preparative LC so that liquid contained in the container registered as the injection target container or the reinjection target container is injected.

An analysis device produces learning data for training an estimation model. More specifically, the analysis device obtains a plurality of reference waveforms. In addition, the analysis device specifies information about a peak for each of the plurality of reference waveforms according to a certain criterion. The analysis device assigns the specified information about the peak to each of the plurality of reference waveforms.

An analysis device produces learning data for training processing of an estimation model More specifically, the analysis device obtains a plurality of reference waveforms for a given type of device. In addition, the analysis device specifies information about a peak for each of the plurality of reference waveforms according to a criterion corresponding to the given type of device. The analysis device assigns the specified information about the peak to each of the plurality of reference waveforms.

Systems and methods are provided for obtaining raw mass spectrometry data from samples, extracting a subset of the raw mass spectrometry data based on storage characteristics of the computing system, storing the subset of the raw mass spectrometry data within a storage of the computing system, and transmitting the stored subset to a machine learning component.