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.

A method for reducing the variability, as measured by relative standard deviation (RSD), of an analytical testing technique is provided. This improvement in RSD improves the confidence in the values obtained during field testing. The method includes incorporating a focusing agent into the sampling media, which permits providing sampling media such as thermal desorption tubes preloaded with the focusing agent.

A method for the identification of unknown compounds based on a novel Retention Index System comprising having a TAGs homologous series, wherein such identification is performed by means of liquid chromatography (LC), or liquid chromatography coupled with mass spectrometry (LC-MS) is disclosed.

A chromatograph device capable of correct measurement even if the retention times of target components change. This chromatograph device is provided with: a storage unit for storing measurement parameters for a plurality of target components, measurement conditions including measurement parameter switching times for each of two target components eluted in succession, and formulas for determining the switching times from predetermined retention times for the target components; a measurement data accumulation unit; a preceding-measurement-data determination unit for determining, at the time of sample measurement, whether there is preceding measurement data for the same column type, mobile phase type, and flow velocity; and a measurement execution unit for carrying out measurement on the basis of the measurement conditions if there is no preceding measurement data.

An exemplary chromatographic alignment system accesses a target file including data representative of a plurality of chromatographic features detected from a first sample and a reference file including data representative of a plurality of chromatographic features detected from a second sample. The system identifies, based on the target and reference files, a distinct retention time offset value for each chromatographic feature included in a first subset of the plurality of chromatographic features detected from the first sample. The system determines, based on the identified distinct retention time offset values for the chromatographic features included in the first subset and on a machine learning model, a distinct predicted retention time offset value for each chromatographic feature included in a second subset of the plurality of chromatographic features detected from the first sample. The system assigns the distinct predicted retention time offset value for each chromatographic feature included in the second subset.

An automatic measuring instrument data correction device and method related to the technical field of environmental measuring instrument are disclosed. The device includes a data reading and converting module obtaining readable data having time information and generated by the measuring instrument; an automatic data correction module comparing the preset standard spectrum with the readable data having time information, executing data correction according to a comparison result. Therefore, the measurement result, which is generated by the measuring instrument, can be corrected to greatly reduce labor cost and time cost, and further improve production efficiency.

A system and a method are provided for calculating the cetane number, pour point, cloud point, aniline point, and/or octane number of a crude oil and its fractions from the density and gel permeation chromatography data of a sample of the crude oil.

A chromatography-mass spectrometry method and apparatus of the present invention includes adding, to a sample, an internal standard material having a retention time similar to that of a target analyte and having a mass-to-charge ratio different from that of the target analyte; measuring the sample with a chromatograph-mass spectrometer and obtaining a chromatogram 101 of the target analyte and a chromatogram 102 of the internal standard material; detecting a peak 113 from the chromatogram of the internal standard material and obtaining a peak start time and a peak end time of the peak; and applying the obtained peak start time and peak end time to a peak start time and a peak end time of the chromatogram of the target analyte.

An automated method of calibrating a chromatography system and analyzing a sample is described. The method includes forming diluted standard solutions that are injected into a chromatography column. The detected peaks can be identified based on a first predetermined calibration ratio associated with the standard solution. Once the chromatography system is calibrated, samples can be chromatographically analyzed where the measured peaks are identified and quantified in an automated manner.

Before start of analysis, a user inputs pipe capacity difference relative to reference pipe capacity and separation conditions, such as a mobile phase flow rate. A control unit calculates retention time shift from the pipe capacity difference and the flow rate. The control unit controls sample injection and data processing units so as to start collection of chromatogram data when a correction time has passed from the time point of sample injection in the case in which the value of the retention time shift is a positive value, and to perform sample injection when a correction time has passed from the time point at which the collection of chromatogram data is started in the case in which the value of the retention time shift is a negative value. Retention time shift caused by difference in the pipe capacity is corrected even when the mobile phase flow rate is different.