A mass spectrometry control device includes a deriver that derives, based on a set of allergens that are detectable without being distinguished from one another among a plurality of allergens to be detected and data that indicates a plurality of peptides produced by subjecting each allergen to a cleavage process, first peptides produced in common when the plurality of allergens included in the set are subjected to the cleavage process and at least one of parameters for detecting the first peptides, and a setter that sets a condition of mass spectrometry to detect at least one of the first peptides.

A conductive composition comprising a conductive polymer (A) having an acidic group, and a basic compound (B), wherein: an area ratio (X/Y) is 0.046 or less as calculated by an specific method, which is a ratio an area (X) of a region corresponding to molecular weight (M) ranging from 300 to 3300, relative to an area (Y) of an entire region ascribed to the conductive polymer (A); or a ratio, ZS/ZR, is 20 or less, wherein the ZS is a maximum value of fluorescence intensity in a wavelength region of 320 to 420 nm when a fluorescence spectrum is measured using a spectrofluorometer at an excitation wavelength of 230 nm with respect to a measurement solution obtained by diluting the conductive composition with water so as to adjust solids content of the conductive polymer (A) to 0.6% by mass, and the ZR is a maximum value of Raman scattering intensity in a wavelength region of 380 to 420 nm when a fluorescence spectrum of water is measured using a spectrofluorometer at an excitation wavelength of 350 nm.

The present invention relates to a method for predicting the physical properties of polymers. More specifically, the present invention relates to a method for predicting the processability of polymers using a molecular weight distribution curve.

A method to simulate distillation of a petroleum stream by gas chromatography can include separating the petroleum stream with a gas chromatograph as a function of boiling point; passing the separated petroleum stream through a vacuum ultraviolet detector to yield data comprising a vacuum ultraviolet signal as a function of boiling point; integrating the vacuum ultraviolet signal as a function of boiling point over two or more wavelength ranges to derive relative concentrations of two or more components of the separated petroleum stream that correspond to the two or more wavelength ranges.

The present invention relates to a method for predicting the physical properties of polymers. More specifically, the present invention relates to a method for predicting the processability of polymers using a molecular weight distribution curve.

Methods for classification of hydrocarbon mixtures that include performing two-dimensional gas chromatography on a hydrocarbon mixture to obtain a chromatogram using a two-dimensional gas chromatograph equipped with a flame ionization detector, a reversed phase column configuration with a primary mid-polar or polar column and a secondary non-polar column, and a standard mixture. Classification is performed in which groups of hydrocarbons are identified and labeled based on peaks associated with the standard mixture, after which a quantification process is performed.

Machines and methods are for performing fully-automated biological evaluation and chemical analysis. A pretreatment module is used in treatments of enriching, concentrating and purifying a sample to be analyzed. A component separation module is used for carrying out separation of multiple compounds in mother liquor to be analyzed. A monitoring and identifying module is for monitoring and collecting chromatographic signals of the separated liquid effluent in real time, as well as quantitative detection of suspicious compounds. A component collection module is used in operations of collecting, transferring and dissolving, redissolving, and pipetting the separated liquid effluent. A biological evaluation module is for cell culture and detection of cytotoxic effect and toxic targets. A data processing and automated control module is for acquisition, arrangement and analysis of the integrated data. The machines and methods provide an efficient, stable and normalized standard operation condition for the screening of toxicity of compounds.

The present disclosure provides component analysis methods including a measurement process and an analysis process.

Components resolved in time by a separator accumulate in a sample cell and are analyzed by electromagnetic radiation-based spectroscopic techniques. The sample cell can be configured for multiple path absorption and can be heated. The separator can be a gas chromatograph or another suitable device, for example a distillation-based separator. The method and system described herein can include other mechanical elements, controls, procedures for handling background and sample data, protocols for species identification and/or quantification, automation, computer interfaces, algorithms, software or other features.

Methods and systems for improving peak integration in mass spectrometry. A method may include accessing an ion data series; generating a set of prospective peak integrations for a target peak in the ion data series; providing, as input to a trained machine learning model, at least one peak characteristic for each prospective peak integration in the set of prospective peak integrations; processing the provided input, by the trained machine learning model, to generate an output from the trained machine learning model; based on the output, generating a ranking of one or more of the prospective peak integrations; and based on one of the prospective peak integrations, generating an ion amount represented by the target peak.