A method for rapid differential diagnosis of infection using supercritical fluid chromatographic separation of quorum sensing molecules as biomarkers for infection agents.

Presented are improved and more sensitive methods for measuring levels of phytoestrogens in a biological sample, and specifically in a human urine sample, employing a High Pressure Liquid Chromatography method, coupled with a photodiode array analysis detection system. Calibration curve preparation for each of a panel of phytoestrogen analytes, including daidzein, equol and genistein, are provided employing techniques that demonstrate greater accuracy and sensitivity of sample level measurement. Clinically applicable techniques suitable for large population scale screening, diet and gut microflora characterization and disease analysis and correlation in human populations, such as in at risk breast cancer populations, through monitoring of phytoestrogen levels, is disclosed.

Provided are methods for detecting chromogranin A by mass spectrometry. In another aspect, provided herein are methods for quantitating chromogranin A by mass spectrometry. In another aspect, provided herein are methods for prognosis of or measuring the size of neuroendocrine tumors by mass spectrometry.

Systems and methods are disclosed for providing virtual assays of an oil sample such as crude oil based on high pressure liquid chromatography (HPLC) carried out on the oil sample, and the density of the oil sample. The virtual assay provides a full range of information about fractions of the oil sample including naphtha, gas oil, vacuum gas oil, vacuum residue, and other information about the properties of the oil sample. Using the system and method herein, the virtual assay data pertaining to these several fractions of the oil sample and the oil sample itself is obtained without fractionation of the oil sample into the several components.

A cloud server platform end is used to construct a mass spectrum species classification model, extract a mass spectrum data feature, and construct a training model of the convolutional neural network; a user platform end is used to upload the mass spectrum, experiment condition and device data, directly screen and identify the type of the mass spectrum based on the mass spectrum species classification model or the mass spectrum information base, automatically compare and identify the species and name of the pesticides based on the neural network model trained by the cloud server platform end, and feedback the comparison result to the user. The disclosure solves the restriction on the purchase of standards for user, the use of the system is not limited by the location, and the pesticide residues could be detected automatically, quickly and accurately.

A liquid chromatographic system (1) includes an analysis flow path (12) to which at least one liquid sending pump (14) is connected and through which liquid that is sent by the liquid sending pump (14) flows, a sample injector (4) that injects a sample into the analysis flow path (12), a separation column (6) that is provided on the analysis flow path (12) and is to separate a sample that has been injected into the analysis flow path (12) into components, a detector (8) that is provided on the analysis flow path (12) and is to detect sample components obtained by separation in the separation column (6), a system configuration specifier (26) that specifies a count and a connection structure of the liquid sending pumps (14) connected to the analysis flow path (12) as a system configuration, a condition holder (18) holding a condition that is for detection of a liquid sending failure of the liquid sending pump (14) and is preset in regard to each type of the system configuration, a condition determiner (20) that is configured to determine the condition corresponding to a system configuration specified by the system configuration specifier (26) from among conditions held by the condition holder (18), and a liquid sending failure detector (22) configured to detect a liquid sending failure of the liquid sending pump (14) using the condition determined by the condition determiner (20).

A liquid chromatograph (1) includes a liquid sending pump (14) for sending a mobile phase, a sample injector (4) that injects a sample into an analysis flow path (12) through which a mobile phase from the liquid sending pump (14) flows, a separation column (6) that is provided on the analysis flow path (12) and is to separate a sample that has been injected into the analysis flow path (12) by the sample injector (4) into components, a pressure sensor (16) for detecting a liquid sending pressure in the analysis flow path (12) located at a position farther upstream than the separation column (6), a damper capacity holder (22) that holds an internal capacity of a system through which a mobile phase from the liquid sending pump (14) flows as a damper capacity, a reference value determiner (24) configured to determine a reference value of a fluctuation range of the liquid sending pressure when a liquid sending failure of the liquid sending pump (14) occurs, using at least the damper capacity held by the damper capacity holder (22), and a liquid sending failure detector (26) that is configured to periodically acquire a liquid sending pressure detected by the pressure sensor (16), obtain a fluctuation range of the liquid sending pressure in a certain driving period of the liquid sending pump (14) and detect a liquid sending failure using the obtained fluctuation range and the reference value determined by the reference value determiner (24).

The present invention relates to an early warning method before the occurrence of aflatoxin contamination. The steps are as follows: extracting toxins from the sample to obtain a sample extract, and subjecting the sample extract to detection and analysis by liquid chromatography-high resolution mass spectrometer, performing qualitative analysis based on the mass spectrometry information to obtain qualitative results, performing quantitative analysis based on a standard curve of the chromatographic peak area of each warning molecule/the peak area of the internal standard-warning molecule concentration to obtain quantitative results of these warning molecules, wherein a risk of aflatoxin contamination of the sample is assessed to obtain a classification prediction model, inputting the quantitative results of the warning molecules for a toxigenic strain of Aspergillus flavus, and outputting a risk assessment result based on the classification prediction model, thereby achieving the early warning before aflatoxin contamination occurs.

An acquirer that acquires, based on measurement data acquired over time using an analysis device, measurement waveform data, the measurement data representing a change in domain direction of the measurement data, and an estimator that acquires estimation waveform data that is what noise data is at least partially removed from the measurement waveform data, are included. The estimator acquires the estimation waveform data as data such that the noise data included in the measurement waveform data has a correlation in the domain direction. Thus, a peak shape can be correctly estimated based on measurement waveform data to which noise is added.

The present disclosure describes a method, a system, and a computer program product of analyzing data collected by analytical instruments. In an embodiment, the method, the system, and the computer program product include receiving set-up information, running at least one incomplete analytical method on at least one known sample on at least one analytical instrument with respect to the set-up information, resulting in known sample data, processing the at least one incomplete analytical method with respect to the known sample data, resulting in at least one validated analytical method, and running the at least one validated analytical method on at least one unknown sample on the at least one analytical instrument with respect to the set-up information, resulting in analyzed sample data.