Abstract: The present disclosure establishes new dissociation parameters that may be used to determine the collision energy (CE) needed to achieve a desired extent of dissociation for a given analyte precursor ion using collision cell type collision-induced dissociation. This selection is based solely on the analyte precursor ion's molecular weight, MW, and charge state, z. Metrics are proposed that may be used as a parameter for the “extent of dissociation”, and then predictive models are developed of the CEs required to achieve a range of values for each metric. Each model is a simple smooth function of only MW and z of the precursor ion. Coupled with a real-time spectral deconvolution (m/z to mass) algorithm, methods in accordance with the invention enable control over the extent of dissociation through automated, real-time selection of collision energy in a precursor-dependent manner.

Abstract: An embodiment of a method for real time material identification is described that comprises determining an approximate mass value for an unknown material from spectral information derived from mass spectral analysis of the unknown material; retrieving profile models that correspond to a known material from a data structure using the approximate mass value; fitting a sample profile for the unknown material from the spectral information to the profile models to generate a fit score for each fit, wherein the lowest fit score corresponds to the best fit; calculating a mass value from the best fitting profile model and the sample profile.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Applications of ion-ion reaction chemistry are disclosed in which proton transfer reactions (PTR) and real-time data analysis methods are used to (1) simplify complex mixture analysis of samples introduced into a mass spectrometer, and (2) improve resolution and sensitivity for the analysis of large proteins in excess of 50 kDa by removing charge and reducing the collisional cross section.

Abstract: A method for mass spectral analysis of a sample containing a plurality of biomolecule species comprises: (a) mass analyzing a plurality of first-generation ion species generated from a sample portion; (b) automatically recognizing, for each of at least one biomolecule species, a respective subset of m/z ratios corresponding to respective first-generation ion species generated from the each biomolecule species; (c) selecting, from each recognized subset, a single representative m/z ratio; (d) isolating a sub-population of ions having each representative m/z ratio from ions having other m/z ratios; and (e) fragmenting each isolated sub-population of ions so as to generate second-generation ion species.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for predicting the presence, subtype and stage of ovarian cancer, as well as for assessing the therapeutic efficacy of a cancer treatment and determining whether a subject potentially is developing cancer. Associated test kits, computer and analytical systems as well as software and diagnostic models are also provided.

Abstract: Methods are provided for calibrating analytical instruments that comprise a quantitative device, such as spectrometers, particularly where a complex mixture is analyzed over a broad spectral range. Associated computer and analytical systems as well as software are also provided.