A method for determining the integrity of at least one complex based on at least one biological sample and at least one matrix, including at least the following steps:—acquiring at least one image,—analyzing the image sent by extracting light intensity values representative of at least one spectral band,—relating the light intensity values to one another to obtain representative spectral data,—determining a state of integrity of the complex by comparing each of the representative spectral data by similarity grouping with a determined similarity threshold,—triggering at least one first alert, by the analysis unit, when the representative data are similar to the first state of integrity or to the second state of integrity.

Disclosed are systems and methods to provide rapid and autonomous detection of analyte particles in gas and liquid samples. Disclosed are methods and devices for identifying biological aerosol analytes using MALDI-MS and chemical aerosol analytes using LDI and MALDI-MS using time-of-flight mass spectrometry (TOFMS).

A method of predicting whether an MDS patient has a good or poor prognosis uses a general purpose computer configured as a classifier and mass-spectrometry data obtained from a blood-based sample. The classifier assigns a classification label of either Early or Late (or the equivalent) to the patient's sample. Patients classified as Early are predicted to have a poor prognosis or worse survival whereas those patients classified as Late are predicted to have a relatively better prognosis and longer survival time. The groupings demonstrated a large effect size between groups in Kaplan-Meier analysis of survival. Most importantly, while the classifications generated were correlated with other prognostic factors, such as IPSS score and genetic category, multivariate and subgroup analysis showed that they had significant independent prognostic power complementary to the existing prognostic factors.

Disclosed herein are systems and methods for mass spectrometry using laserspray ionization (LSI). LSI can create multiply-charged ions at atmospheric pressure for analysis and allows for analysis of high molecular weight molecules including molecules over 4000 Daltons. The analysis can be solvent-based or solvent-free. Solvent-free analysis following LSI allows for improved spatial resolution beneficial in surface and/or tissue imaging.

A method of analysis using mass spectrometry and/or ion mobility spectrometry is disclosed comprising: (a) using a first device to generate smoke, aerosol or vapour from a target in vitro or ex vivo cell population; (b) mass analysing and/or ion mobility analysing said smoke, aerosol or vapour, or ions derived therefrom, in order to obtain spectrometric data; and (c) analysing said spectrometric data in order to identify and/or characterise said target cell population or one or more cells and/or compounds present in said target cell population.

A method for the identification and localization of small molecule species in a histologic thin tissue section comprises the steps of: a) acquiring a mass/mobility image of the tissue section and generating a mass/mobility map of the small molecule species of interest for each pixel of the image; b) providing a second sample of the same tissue and extracting the small molecules of interest, separating them, and acquiring mass and ion mobility spectra from the separated small molecules; c) identifying the small molecules of interest using corresponding reference databases; and d) assigning identified small molecules to entries in the mass/mobility maps of the first tissue section by comparison of ion masses and mobilities of the identified species to those of the second thin tissue section.

Each sample of a series of samples is ejected at an ejection time and according to a sample order. Each ejected sample of the series is ionized, producing ion beam. A list of different sets of MRM transitions is received. Each set of the list corresponds to a different sample. A group of one or more different sets is selected from the list. Initially, each set selected for the group corresponds to a different sample of one or more first samples of the series. A mass spectrometer is instructed to execute each transition of each set of the group on the ion beam until a transition of a set of the group is detected, upon which, one or more next sets are selected from the list to be monitored using the set of the detected transition and the sample order.

A method for identifying by mass spectrometry an unknown microorganism subgroup among a set of reference subgroups, including a step of constructing one knowledgebase and one classifying model per associated subgroup on the basis of the acquisition of at least one set of learning spectra of microorganisms identified as belonging to the subgroups of a group and including: constructing an adjusting model allowing mass-to-charge offsets of the acquired spectra to be corrected on the basis of reference masses-to-charges that are common to the various subgroups; adjusting the masses-to-charges of all of the lists of peaks of the learning spectra and constructing one classifying model per subgroup and the associated knowledgebase on the basis of the adjusted learning spectra.

A mass spectrometer provided with an ionization chamber (10) in which ionization is performed on a sample by laser ionization, includes an opening part (12) that is provided on a side wall of the ionization chamber (10), and includes a door (13); a ventilation port (14) provided in a wall of the ionization chamber (10), which is opposite to the opening port (12); and a gas supplier (64), (67) for supplying high-pressure cleaning gas to the ionization chamber (10) through the ventilation port (14). In this configuration, the high-pressure cleaning gas flows into the ionization chamber (10) from the gas supplier (64), (67) while the door (13) is opened, thereby blowing up particles including fragments of bacterial cells, which are piled up on a floor of the ionization chamber (10), and/or sweeping particles floating near the floor, so as to discharge the particles to the outside.

The present invention relates to a matrix-assisted laser desorption ionization mass spectrometry method and, specifically, a mass spectrometry method according to the present invention comprises the steps of: acquiring a mass spectrum of an analyte by performing matrix-assisted laser desorption ionization of the analyte, wherein a detection spectrum, which is the mass spectrum of the analyte, is acquired using each of two or more matrixes different from one another; and removing, from each detection spectrum, a peak of a corresponding matrix to obtain a matrix-removed spectrum, and then acquiring a corrected mass spectrum of the analyte on the basis of a matrix-removed spectrum for each of different matrixes.