Abstract:
A method of performing mass spectral analysis involving at least one of the isotope satellites of at least one ion, comprising acquiring a measured mass spectral response including at least one of the isotope satellites; constructing a peak component matrix with mass spectral response functions; performing a regression analysis between the acquired mass spectral response and the peak component matrix; and reporting one of statistical measure and regression coefficients from the regression analysis for at least one of mass spectral peak purity assessment, ion charge determination, mass spectral deconvolution, and mass shift compensation. A method for the identification of an ion in a sample through acquired MS scans, comprising obtaining an isotope pattern of an ion; constructing a projection matrix based on the isotope pattern or MS scan; projecting the isotope pattern or MS scan onto the projection matrix to calculate at least one of projection residual and projected data; and performing a statistical test on at least one of the projection residual and projected data to determine if the ion exists in the sample or if there is interference. A method which takes advantage of mass defect or isotope pattern analysis, and software and hardware for implementing all aspects of the invention.
Abstract:
A method of performing mass spectral analysis involving at least one of the isotope satellites of at least one ion, comprising acquiring a measured mass spectral response including at least one of the isotope satellites; constructing a peak component matrix with mass spectral response functions; performing a regression analysis between the acquired mass spectral response and the peak component matrix; and reporting one of statistical measure and regression coefficients from the regression analysis for at least one of mass spectral peak purity assessment, ion charge determination, mass spectral deconvolution, and mass shift compensation. A method for the identification of an ion in a sample through acquired MS scans, comprising obtaining an isotope pattern of an ion; constructing a projection matrix based on the isotope pattern or MS scan; projecting the isotope pattern or MS scan onto the projection matrix to calculate at least one of projection residual and projected data; and performing a statistical test on at least one of the projection residual and projected data to determine if the ion exists in the sample or if there is interference. A method which takes advantage of mass defect or isotope pattern analysis, and software and hardware for implementing all aspects of the invention.
Abstract:
Apparatus, methods, and computer readable media having computer code for calibrating chromatograms to achieve chromatographic peak shape correction, noise filtering, peak detection, retention time determination, baseline correction, and peak area integration. A method for processing a chromatogram, comprises obtaining at least one actual chromatographic peak shape function from one of an internal standard, an external standard, or an analyte represented in the chromatogram; performing chromatographic peak detection using known peak shape functions with regression analysis; reporting regression coefficients from the regression analysis as one of peak area and peak location; and constructing a calibration curve to relate peak area to known concentrations in the chromatogram. A method for constructing an extracted ion chromatogram, comprises calibrating a low resolution mass spectrometer for both mass and peak shape in profile mode; performing mass spectral peak analysis and reporting both mass locations and integrated peak areas; specifying a mass defect window of interest; summing up all detected peaks with mass defects falling within the specified mass defect window to derive summed intensities; and plotting the summed intensities against time to generate a mass defect filtered chromatogram.
Abstract:
A method for identify isotope patterns in mass spectral data, comprising obtaining a desired mass spectral peak shape function; obtaining mass spectral data composed of actual isotope patterns to be analyzed; calculating theoretical isotope pattern from known elemental composition of at least one basic ion whose isotope pattern is representative of the ions to be analyzed, by using mass spectral peak shape function; comparing quantitatively corresponding parts of the theoretical isotope pattern to that of the mass spectral data; calculating a numerical metric to measure similarity between the theoretical isotope pattern and actually measured isotope pattern; and utilizing the numerical metric as an indication for possible presence of ions whose isotope patterns resemble that of the basic ion. A computer for and a computer readable medium having computer readable code thereon for performing the methods. A mass spectrometer having an associated computer for performing the methods.
Abstract:
A method for calibrating and analyzing data from a mass spectrometer, comprising the steps of acquiring raw profile mode data containing mass spectral responses of ions with or without isotopes; calculating theoretical isotope distributions for each of at least one calibration ion based on elemental composition; convoluting the theoretical isotope distributions with an initial peak shape function to obtain theoretical isotope profiles for each ion; constructing a peak component matrix including the theoretical isotope profiles for calibration ions as peak components; performing a regression analysis between the raw profile mode mass spectral data and the peak component matrix; and reporting the regression coefficients as the relative concentrations for each of the components. A mass spectrometry system operated in accordance with the method and a computer readable medium having program code thereon for performing the method.
Abstract:
A method for determining elemental composition of ions from mass spectral data, comprising obtaining at least one mass measurement from mass spectral data; obtaining a search list of candidate elemental compositions whose exact masses fall within a given mass tolerance range from the accurate mass; reporting a probability measure based on a mass error; calculating an isotope pattern for each candidate elemental composition from the search list; constructing a peak component matrix including at least one of the isotope pattern and mass spectral data; performing a regression against at least one of isotope pattern, mass spectral data, and the peak component matrix; reporting a second probability measure for at least one candidate elemental composition based on the isotope pattern regression; and combining the two the probability measures into an overall probability measure. A method for determining elemental isotope ratios from mass spectral data, comprising obtaining measured mass spectral response; specifying the elemental composition of a given ion; specifying the initial isotope ratios for a given element in the ion; calculating the isotope pattern for the ion; constructing a peak component matrix including at least one of the isotope pattern and measured mass spectral response; performing a regression between measured mass spectral response and the peak component matrix; and reporting a regression residual and repeating the isotope pattern calculation, peak component construction, and regression process with updated isotope ratios to minimize this residual.
Abstract:
A method for obtaining at least one calibration filter for a Mass Spectrometry (MS) instrument system. Measured isotope peak cluster data in a mass spectral range is obtained for a given calibration standard. Relative isotope abundances and actual mass locations of isotopes corresponding thereto are calculated for the given calibration standard. Mass spectral target peak shape functions centered within respective mass spectral ranges are specified. Convolution operations are performed between the calculated relative isotope abundances and the mass spectral target peak shape functions to form calculated isotope peak cluster data. A deconvolution operation is performed between the measured isotope peak cluster data and the calculated isotope peak cluster data after the convolution operations to obtain the at least one calibration filter. Provisions are made for normalizing peak widths, combining internal and external calibration, and using selected measured peaks as standards. Aspects of the methods are applied to other analytical instruments.
Abstract:
A method for calibrating and analyzing data from a mass spectrometer, comprising the steps of acquiring raw profile mode data containing mass spectral responses of ions with or without isotopes; calculating theoretical isotope distributions for each of at least one calibration ion based on elemental composition; convoluting the theoretical isotope distributions with an initial peak shape function to obtain theoretical isotope profiles for each ion; constructing a peak component matrix including the theoretical isotope profiles for calibration ions as peak components; performing a regression analysis between the raw profile mode mass spectral data and the peak component matrix; and reporting the regression coefficients as the relative concentrations for each of the components. A mass spectrometry system operated in accordance with the method and a computer readable medium having program code thereon for performing the method.
Abstract:
A luminescence detecting apparatus and method for analyzing luminescent samples is disclosed. Luminescent samples are placed in a plurality of sample wells in a tray, and the tray is placed in a visible-light impervious chamber containing a charge coupled device camera. The samples may be injected in the wells, and the samples may be injected with buffers and reagents, by an injector. In the chamber, light from the luminescent samples pass through a collimator, a Fresnel field lens, a filter, and a camera lens, whereupon a focused image is created by the optics on the charge-coupled device (CCD) camera. The use of a Fresnel field lens, in combination with a collimator and filter, reduces crosstalk between samples below the level attainable by the prior art. Preferred embodiments of the luminescence detecting apparatus and method disclosed include central processing control of all operations, multiple wavelength filter wheel, and robot handling of samples and reagents. Preferred embodiments of processing software integrated with the invention include elements for mechanical alignment, outlier shaving, edge detection and masking, manipulation of multiple integration times to expand the dynamic range, crosstalk correction, dark subtraction interpolation and drift correction, multi-component analysis applications specifically tailored for luminescence, and uniformity correction.
Abstract:
Methods for analyzing mass spectral data, include acquiring profile mode mass spectral data containing at least on ion of interest whose elemental composition is determined; obtaining a correct peak shape function based on the actually measured peak shape of at least one of the isotypes of the same ion of interest; generating at least one possible elemental composition for the ion of interest; calculating a theoretical isotope cluster by applying correct peak shape function to the theoretical isotope distribution; comparing quantiatively the corresponding parts of the theoretical isotope cluster to that from acquired profile mode mass spectral data to obtain at least one of elemental composition determination, classification, or quantitation for the ion. A computer for and a computer readable medium having computer readable code thereon for performing the methods. A mass spectrometer having an associated computer for performing the methods.