Systems and methods are provided for improving the analysis of analytes by using electrophoresis apparatus. Exemplary methods provide an increase in the yield of useful results, e.g., quantity and quality of useable data, in automated peak detection, in connection with an electrophoretic separation, e.g., capillary electrophoresis. In various embodiments, the system virtualizes the raw data, transforming the migration time into virtual units thereby allowing the visual comparison of analyte electropherograms and the reliable measurement of unknown analytes. The analytes can be, for example, any organic or inorganic molecules, including but not limited to nucleic acids (DNA, RNA), proteins, peptides, glycans, metabolites, secondary metabolites, lipids, or any combination thereof. Analyte detection can be performed by any method including, but not limited to, fluorescence detection or UV absorption. The present teachings provide, among other things, for consistent comparisons of analyte peaks across samples, across instruments, across runs, and across migration times.

Techniques for real-time or substantially real-time peak detection are described. In one embodiment, for example, logic coupled to memory may be configured to receive data from at least one analytical instrument and perform processing or analysis on the received data. Moreover, the logic may be configured to determine, via one or more GPUs or CPUs (or both), one or more peaks based on the processing or the analysis of the received data and generate peak detection data based on the detected one or more peaks in real-time or substantially real-time. Other embodiments are described.

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.

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 method of analysing gas chromatography data is described. During the method, a first response factor data set acquired from a gas chromatograph (GC) apparatus during a procedure on a calibration or reference gas sample at a first time is received. One or more additional response factor data sets acquired from the gas chromatograph apparatus during a procedure on a calibration or reference gas sample from one or more later times are received. The method comprises calculating a measure of uncertainty for at least one compound of the reference gas sample from the first and additional response factor data sets. The one or more later times are during an operational period of the gas chromatograph apparatus. The measure of uncertainty may be used to, for example, identify the necessity to perform a maintenance action in the GC or to assess whether the GC is in a healthy or unhealthy condition.

A pseudo internal standard method, device and application for mass spectrometry quantitative analysis is disclosed.

A diagnostic system and method and an interconnected laboratory system comprising clinical diagnostic systems are presented. The diagnostic system comprises a sample preparation module, a liquid chromatography (LC) separation module coupled to the sample preparation module via a sample preparation/LC interface, a mass spectrometer (MS) module coupled to the LC separation module via an LC/MS interface, and a result calculation module for identifying and/or quantifying analytes or substances of interest contained in the samples and passed through the LC separation and MS modules. The diagnostic system comprises a controller programmed to monitor operational parameters (1-n) indicative of a performance status of the diagnostic system, to trigger a quality control procedure and/or a maintenance procedure whenever one or more parameters (1-n) of the operational parameters (1-n) is out of specification, and to minimize the quality control and/or maintenance procedures as long as the operational parameters (1-n) remains within specification.

A pretreatment apparatus includes: a pretreatment unit that subjects to a pretreatment a sample to be analyzed by an analysis device; an input unit that receives an analysis condition input; a communication IF that transmits to the analysis device the analysis condition input via the input unit; and a display unit that displays, on a single screen, an analysis result derived using a calibration curve from analysis data obtained by the analysis device based on the analysis condition, and calibration curve information about the calibration curve used to derive the analysis result.

Provided is an analytical measurement device system 10 having a plurality of units (liquid-sending pump 12; detector 15) including: a sensor (flow sensor 121; light amount detector 151) provided in at least one unit among the plurality of units, for detecting the condition of a specific portion of the unit; a determination section (flow rate determiner 122; light amount determiner 152) provided in the unit, for receiving a signal from the sensor and for determining an overall condition of the unit based on a predetermined determination criterion; a storage section (flow-rate determination information storage section 123; light-amount determination information section 153) provided in the unit, for storing the determination criterion and a result of the determination by the determination section; and a display section (flow-rate determination result display section 124; light-amount determination result display section 154) provided in the unit, for displaying the determination result.

A confirmation ion ratio allowable value calculation unit calculates a confirmation ion ratio allowable value when a target ion and confirmation ions are interchanged based on a preset confirmation ion ratio allowable value, and a peak identification processing unit identifies mass peaks of the target ion and the confirmation ions based on the confirmation ion ratio allowable value. A peak waveform processing unit calculates peak areas of the target ion and the confirmation ions, and a calibration curve creation unit creates calibration curves for quantification based on the target ion and the confirmation ions from a peak area of a target compound included in a standard sample. A quantitative value calculation unit obtains quantitative values while referring to a calibration curve corresponding to a peak area for a target compound included in an unknown sample. A quantitative analysis result display processing unit displays the quantitative values and chromatogram peak waveforms.