The present disclosure is related to an analytical system comprising a liquid chromatographic (LC) system comprising a plurality of fluidic streams alternately connectable to a common detector via a stream-selection valve connected to the detector via a valve-to-detector conduit. The analytical system further comprises a wash pump fluidically connected to the stream-selection valve and configured to connect to the valve-to-detector conduit between two consecutive fluidic streams in order to wash liquid from a previous fluidic stream out of the valve-to-detector conduit before liquid from a subsequent fluidic stream enters the valve-to-detector conduit. An analytical method comprising switching between the fluidic streams and washing in between is also disclosed.

A liquid chromatographic (LC) system is herein disclosed, the LC system comprising at least one fluidic stream comprising at least one HPLC column, a downstream valve connected to the at least one fluidic stream and connectable to a detector via a valve-to-detector conduit, wherein the at least one fluidic stream is connectable to the valve-to-detector conduit via the downstream valve, and where the LC system further comprises a downstream pump fluidically connected to the downstream valve and connectable to the at least one fluidic stream via the downstream valve in order to backflush and thereby clean the at least one HPLC column. A respective automated LC method is herein also disclosed.

Disclosed are methods for improving compound detection and characterization. Methods for characterizing a sample are disclosed. The methods can include providing a sample to a liquid chromatography system capable of sample separation to generate sample components; analyzing sample components by multiplexed targeted selected ion monitoring (SIM) to generate an inclusion list; and performing iterative mass spectral data-dependent acquisition (DDA) from the inclusion list, to identify individual sample components thereby characterizing the sample. In one example, multiplexed targeted SIMs and iterative MS2 DDA acquisition is used to increase robust compound identification for cell culture medium analysis.

The present invention makes it possible to realize an analysis apparatus having a plurality of liquid chromatographs capable of judging separation performance and the like at the right timing and improving analysis performance early. Analysis starts and a mixed sample is prepared by adding a non-retaining ingredient to a measurement object sample and is introduced into an analysis flow path (S401 to S404). The mixed sample is separated into components by a separation column, the components are outputted as chromatogram data by a detector, and the analysis finishes (S404 to S406). Retention time and peak information are acquired from the chromatogram outputted from the detector, whether or not a measurement result is within an allowable range is judged, and the process shifts to next analysis when the measurement result is within the allowable range (S407 to S409). An amount of transit time t.sub.0 of a non-retaining ingredient shifted from an allowable value is confirmed when separation performance is outside an allowable range at step S408 and a separation column replacement instruction is outputted to an output unit when fluctuation of the transit time t.sub.0 is within an allowable range (S410, S411). A device maintenance instruction is outputted to the output unit when the fluctuation is outside the allowable range at step S410 (S412).

Disclosed are methods for improving compound detection and characterization. Methods for characterizing a sample are disclosed. The methods can include providing a sample to a liquid chromatography system capable of sample separation to generate sample components; analyzing sample components by multiplexed targeted selected ion monitoring (SIM) to generate an inclusion list; and performing iterative mass spectral data-dependent acquisition (DDA) from the inclusion list, to identify individual sample components thereby characterizing the sample. In one example, multiplexed targeted SIMs and iterative MS2 DDA acquisition is used to increase robust compound identification for cell culture medium analysis.

An analysis system is used to together with a sample supplier that supplies a sample, a detector that detects a sample and a display, and includes a plurality of channels arranged in parallel with one another and a display controller that causes a display to display a control screen in regard to control of the plurality of channels. Each channel includes a mobile phase supplier that supplies a mobile phase and an analysis column that separates a sample that has been supplied by the sample supplier into components and guides the components to the detector.

In the present invention, an analysis schedule is pre-created such that streams of a plurality of liquid chromatograms can operate in parallel and a mass spectrometer can collect data at the timing of each component elution. A control unit controls so as to: divide the time required to analyze each sample in a plurality of liquid chromatogram systems into pre-collection time, time during collection, and post-collection time; search and allocate time positions in which the time during collection in the liquid chromatogram units do not overlap; determine start times for the plurality of liquid chromatogram units to thereby create an analysis schedule; and thereafter perform analysis. The control unit further stores parameter sets for varying component elution times, adjusts analysis parameters so as to make data collection timings appropriate for creating an analysis schedule, and changes the component elution times.

A liquid chromatography-mass spectrometry (LC-MS) apparatus including an ionization source coupled to a mass spectrometer and a liquid chromatographic (LC) system coupled to the ionization source. The LC system comprises multiple fluidic streams alternately connectable to the ionization source, thereby assigning a detection time window to each fluidic stream from the multiple fluidic streams when connected to the ionization source. The LC-MS apparatus further comprises a controller configured to carry out steps of monitoring an ionization current of the ionization source for the multiple fluidic streams and identifying differences in flow conditions between the multiple fluidic streams based on the monitored ionization current. The controller is further configured to carry out adjusting detection conditions of one or more of the multiple fluidic streams responsive to the identified differences, thereby enabling eluates of interest from each fluidic stream to be detected by the mass spectrometer in the respective detection time window.

In the present invention, an analysis schedule is pre-created such that streams of a plurality of liquid chromatograms can operate in parallel and a mass spectrometer can collect data at the timing of each component elution. A control unit controls so as to: divide the time required to analyze each sample in a plurality of liquid chromatogram systems into pre-collection time, time during collection, and post-collection time; search and allocate time positions in which the time during collection in the liquid chromatogram units do not overlap; determine start times for the plurality of liquid chromatogram units to thereby create an analysis schedule; and thereafter perform analysis. The control unit further stores parameter sets for varying component elution times, adjusts analysis parameters so as to make data collection timings appropriate for creating an analysis schedule, and changes the component elution times.

Disclosed are methods for improving compound detection and characterization. Methods for characterizing a sample are disclosed. The methods can include providing a sample to a liquid chromatography system capable of sample separation to generate sample components; analyzing sample components by multiplexed targeted selected ion monitoring (SIM) to generate an inclusion list; and performing iterative mass spectral data-dependent acquisition (DDA) from the inclusion list, to identify individual sample components thereby characterizing the sample. In one example, multiplexed targeted SIMs and iterative MS2 DDA acquisition is used to increase robust compound identification for cell culture medium analysis.