Described herein are mass spectrometers, ion manifolds, and analytical methods for high-duty cycle, tandem mass spectrometery.

The present disclosure includes a mass spectrometry apparatus for analyzing an analyte sample, which comprises: an ion source from which a quantity of analyte ions from the analyte sample may be sourced for providing an ion beam; a mass analyzer serving to filter the analyte ions of the ion beam based on their mass-to-charge ratio; a first detector unit for analyzing the ions of the ion beam; and a second detector unit being based on the time-of-flight principle and comprising a second detector for analyzing the ions of the ion beam. The present disclosure further includes a method for analyzing an analyte sample using a mass spectrometry apparatus according to the present disclosure.

An illustrative method comprises determining, based on a mass analysis performed by an electron multiplier-based mass analyzer on a first ion population produced from a sample, a mass spectrum comprising one or more peaks representing intensity as a function of mass-to-charge ratio (m/z) of the first ion population across a range of m/z values; determining, based on the mass spectrum, a total ion count of the first ion population and a peak ion count associated with a peak located at a particular m/z value; determining, based on the total ion count of the first ion population and the peak ion count, a total ion count of a second ion population produced from the sample and injected into an image current-based mass analyzer for mass analysis; and setting, based on the total ion count of the second ion population, a calibration parameter for the image current-based mass analyzer.

The vention provide an LC-MS/MS test system, comprising: a full-automatic sample preprocessing module; wherein the full-automatic sample preprocessing module comprises an automatic sample feeding and discharging module for transporting sample baskets to be tested, and the automatic sample feeding and discharging module comprises a routine sample feeding and discharging structure and an emergency sample feeding and discharging structure, wherein the sample baskets to be tested comprise routine sample baskets and an emergency sample basket.

An ion mobility separation apparatus comprising: a plurality of ion mobility separator (IMS) devices (12.13) arranged in parallel: an entrance gate (25) configured to direct ions into one or more of said IMS devices at any given time; and control circuitry configured to operate each of the IMS devices in a separation mode in which first voltages are applied to electrodes of the IMS device so as to provide a static DC electric field that urges ions along the IMS device in one direction, and to also apply second voltages to electrodes of the IMS device so as to provide a DC potential that repeatedly travels along the IMS device in the opposite direction such that ions separate according to their mobility within the IMS device.

A mass spectrometry system includes an electrospray ion source, one or more ion inlets, and one or more mass analyzers. The electrospray ion source includes at least a first electrospray emitter and a second electrospray emitter. The first electrospray emitter produces a first ion beam, and the second electrospray emitter produces a second ion beam. The mass spectrometry system measures the first ion beam produced by the first emitter and the second ion beam produced by the second emitter. A first point in time (T1) corresponds to a first chromatographic peak that the mass spectrometry system measures from the first ion beam. A second point in time (T2) corresponds to a second chromatographic peak that the mass spectrometry system measures from the second ion beam. The first point in time (T1) and the second point in time (T2) are separated by a predetermined time delay or offset (deltaT).

A system includes a pre-separation device for separating precursor ions into a set of distinct fractions of precursor ions based on a physical property of the precursor ions and for sequentially transferring a first subset of distinct fractions of precursor ions included in the set of distinct fractions of precursor ions. The system further includes a mass spectrometer positioned downstream of the pre-separation device for receiving the first subset of distinct fractions of precursor ions. The mass spectrometer includes an ion store for accumulating a first population of product ions produced from each distinct fraction of precursor ions included in the first subset of distinct fractions of precursor ions and a mass analyzer for performing a mass analysis of the first population of product ions.

A partial structure estimation apparatus is configured to generate a first explanatory variable by performing composition estimation for each peak in a mass spectrum acquired from a sample, and to generate a second explanatory variable by performing composition estimation for each peak interval in the mass spectrum. The partial structure estimation apparatus is further configured to then estimate a partial structure as an objective variable based on the first explanatory variable and the second explanatory variable. In a partial structure estimation model generation apparatus, a partial structure estimation model is generated through machine learning using a training data set.

Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, a scientific instrument support apparatus may include: first logic to receive, from a mass spectrometer, injections data for each of a plurality of injections associated with a sample; second logic to determine peak data for each of the plurality of injections by executing, in parallel on a node, a peak detection algorithm for each of the plurality of injections, third logic to collate the peak data for each of the plurality of injections; and fourth logic to provide the collated peak data for further processing.