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US5602755A Expired / Lapsed US ⏱️ 0.0 years remaining

Method for predicting chemical or physical properties of complex mixtures

Assignee: ExxonMobil Technology and Engineering Co
•
Filing: 1995-06-23
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Granted: 1997-02-11
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Expires: 2015-06-23
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Abstract

Abstract A Method for predicting the properties of a complex hydrocarbon mixture which comprises selecting one or more known chemical, perceptual, physical or performance properties of the complex mixture and creating a training set from reference samples which contain characteristic molecular species present in the mixture. The reference samples are subjected to GC/MS analysis wherein the often collinear data generated are treated by multivariate correlation methods. The training set produces coefficients which are multiplied by the matrix generated from a GC/MS analysis of an unknown mixture to produce a predicted value for the chemical, performance or physical property or groups of properties selected.

Inventors

  • 👤 Terrence R. Ashe
  • 👤 Jeffrey D. Kelly
  • 👤 Tian C. Lau
  • 👤 Ronald T.-K. Pho

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-11-03 10:28
CPC Classifications
H; H01; H01J; H01J49/00; H01J49/0027; H01J49/0031; G; G01; G01N; G01N33/00; G01N33/26; G01N33/28; G01N33/2829; H01J49/02; H01J49/04; H01J49/0422; H01J49/26; H01J49/34; H01J49/42; H01J49/4205; H01J49/421; H01J49/4215; G01N30/00; G01N30/02; G01N2030/022; G01N2030/025; G01N2201/00; G01N2201/12; G01N2201/129; G01N2201/1293; G01N30/62; G01N30/72; G01N30/7206; G01N30/86; G01N30/8624; G01N30/8644; G01N30/8675; G01N30/8682; G01N30/8693; G16; G16C; G16C20/00; G16C20/30

Claims Analysis

Total Claims: 11
Claim 1
Independent Claim 316 words
A method for predicting physical, perceptual, performance or chemical properties of a complex hydrocarbon mixture which comprises: (a) selecting at least one property of the hydrocarbon mixture; (b) selecting reference samples, said reference samples containing characteristic compound types present in the complex hydrocarbon mixture and which have known values of the property or properties selected in step (a); (c) producing a training set by the steps of: (1) injecting each reference sample into a gas chromatograph which is interfaced to a mass spectrometer thereby causing at least a partial separation of the hydrocarbon mixture into constituent chemical components; (2) introducing the constituent chemical components of each reference sample into the mass spectrometer, under dynamic flow conditions; (3) obtaining for each reference sample a series of time resolved mass chromatograms; (4) calibrating the mass chromatograms to correct retention times; (5) selecting a series of corrected retention time windows; (6) selecting within each retention time window a series of molecular and/or fragment ions, said ions being representative of characteristic compounds or molecular classes expected within the retention time window; (7) recording the total amount of each characteristic compound or compound group selected in step c(6); (8) forming the data from steps c(6) and c(7) into a X-block matrix; (9) forming the data selected in (a) for reference samples selected in (b) into a Y-block matrix; (10) analyzing the data from steps c(8) and c(9) by multivariate correlation techniques including Partial Least Squares, Principal Component Regression, or Ridge Regression to produce a series of coefficients; (d) subjecting an unknown hydrocarbon mixture to steps c(1) to c(3) in the same manner as the reference sample to produce a series of time resolved mass chromatograms; (e) repeating steps c(4) to c(8) for each mass chromatogram from step (d); (f) multiplying the matrix from step (e) by the coefficients from step c(10) to produce a predicted value of the property or properties.
Claim 2
Independent Claim 316 words
A method for predicting physical, perceptual, performance or chemical properties of a complex hydrocarbon mixture which comprises: (a) selecting at least one property of the hydrocarbon mixture; (b) selecting reference samples, said reference samples containing characteristic compound types present in the complex hydrocarbon mixture and which have known values of the property or properties selected in step (a); (c) producing a training set by the steps of: (1) injecting each reference sample into a gas chromatograph which is interfaced to a mass spectrometer thereby causing at least a partial separation of the hydrocarbon mixture into constituent chemical components; (2) introducing the constituent chemical components of each reference sample into the mass spectrometer, under dynamic flow conditions; (3) obtaining for each reference sample a series of time resolved mass chromatograms; (4) calibrating the mass chromatograms to correct retention times; (5) selecting a series of corrected retention time windows; (6) selecting within each retention time window a series of molecular and/or fragment ions, said ions being representative of characteristic compounds or molecular classes expected within the retention time window; (7) recording the total amount of each characteristic compound or compound group selected in step c(6); (8) forming the data from steps c(6) and c(7) into a X-block matrix; (9) forming the data selected in (a) for reference samples selected in (b) into a Y-block matrix; (10) analyzing the data from steps c(8) and c(9) by multivariate correlation techniques including Partial Least Squares, Principal Component Regression, or Ridge Regression to produce a series of coefficients; (d) subjecting an unknown hydrocarbon mixture to steps c(1) to c(3) in the same manner as the reference sample to produce a series of time resolved mass chromatograms; (e) repeating steps c(4) to c(8) for each mass chromatogram from step (d); (f) multiplying the matrix from step (e) by the coefficients from step c(10) to produce a predicted value of the property or properties.
Claim 3
Dependent Claim 23 words
The method of claim 1 wherein the gas chromatograph is a capillary gas chromatograph and the mass spectrometer is a quadrupole mass spectrometer.
Claim 4
Dependent Claim 17 words
The method of claim 1 wherein the gas chromatograph and mass spectrometer are operated under repeatable conditions.
Claim 5
Dependent Claim 27 words
The method of claim 1 wherein the selection of a series of molecular and/or fragment ions characteristic of compounds or compound classes is accomplished using Chemist's Rules.
Claim 6
Dependent Claim 28 words
The method of claim 1 wherein the selection of a series of molecular and/or fragment ions characteristic of compounds or compound classes is accomplished using Hydrocarbon Type Analysis.
Claim 7
Dependent Claim 19 words
The method of claim 1 wherein data from the gas chromatograph and mass spectrometer are stored in a computer.
Claim 8
Dependent Claim 17 words
The method of claim 1 wherein data from steps (c) to (f) are treated in a computer.
Claim 9
Dependent Claim 19 words
The method of claim 1 wherein other chemical, performance, perceptual or physical properties of the hydrocarbon mixture are selected.
Claim 10
Dependent Claim 10 words
The method of claim 1 wherein the data are collinear.
Claim 11
Dependent Claim 14 words
The method of claim 1 wherein the multivariate correlation technique is Partial Least Squares.

References Cited (Backward Citations)

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US4583183A Cited
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US4835708A Cited
US4916645A Cited
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JPH03100463A Cited
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USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2000-02-11 2000-08-12 2001-02-11 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2004-02-11 2004-08-12 2005-02-11 $3760.00 Window Closed / Lapsed
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