Method of contaminant prediction
First Claim
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1. A method of selectively predicting petroleum hydrocarbon concentration in an environmental sample of unknown hydrocarbon concentration (the unknown sample) without extraction of the petroleum hydrocarbon from the environmental sample, said method comprising the steps of:
- (i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation using diffuse reflectance spectroscopy, at least two of the samples having different hydrocarbon concentrations;
(ii) separately detecting an IR signal from the samples of known hydrocarbon concentration;
(iii) analysing the IR signals using a multivariate chemometric technique to produce a training data set;
(iv) generating a predictive model for hydrocarbon concentration based on the training data set;
(v) subjecting the unknown sample to infrared (IR) radiation using diffuse reflectance spectroscopy;
(vi) detecting an IR signal from the unknown sample;
(vii) applying the predictive model to the IR signal from the unknown sample; and
thereafter(viii) selectively predicting petroleum hydrocarbon concentration in the unknown sample.
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Abstract
Method of selectively predicting hydrocarbon concentration in a sample of unknown hydrocarbon concentration, by (i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation, (ii) separately detecting an IR signal from the samples of known hydrocarbon concentration, (iii) analyzing the IR signals using a multivariate chemometric technique to produce a training data set, (iv) generating a predictive model for hydrocarbon concentration based on the training data set, (v) subjecting the unknown sample to infrared (IR) radiation, (vi) detecting an IR signal from the unknown sample, (vii) applying the predictive model to the IR signal from the unknown sample. Thereafter, as step (viii), hydrocarbon concentration in the unknown sample is selectively predicted.
18 Citations
15 Claims
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1. A method of selectively predicting petroleum hydrocarbon concentration in an environmental sample of unknown hydrocarbon concentration (the unknown sample) without extraction of the petroleum hydrocarbon from the environmental sample, said method comprising the steps of:
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(i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation using diffuse reflectance spectroscopy, at least two of the samples having different hydrocarbon concentrations; (ii) separately detecting an IR signal from the samples of known hydrocarbon concentration; (iii) analysing the IR signals using a multivariate chemometric technique to produce a training data set; (iv) generating a predictive model for hydrocarbon concentration based on the training data set; (v) subjecting the unknown sample to infrared (IR) radiation using diffuse reflectance spectroscopy; (vi) detecting an IR signal from the unknown sample; (vii) applying the predictive model to the IR signal from the unknown sample; and
thereafter(viii) selectively predicting petroleum hydrocarbon concentration in the unknown sample. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method for generating a model to selectively predict petroleum hydrocarbon concentration in an environmental sample of unknown hydrocarbon concentration (the unknown sample) without extraction of the petroleum hydrocarbon from the environmental sample, said method comprising the steps of:
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(i) separately subjecting two or more samples of known hydrocarbon concentration to infrared (IR) radiation using diffuse reflectance spectroscopy, at least two of the samples having different hydrocarbon concentrations; (ii) separately detecting an IR signal from the samples of known hydrocarbon concentration; (iii) analysing the IR signals using a multivariate chemometric technique to produce a training data set; (iv) generating a predictive model for hydrocarbon concentration based on the training data set; (v) separately subjecting one or more further sample(s) of known hydrocarbon concentration to infrared (IR) radiation using diffuse reflectance spectroscopy; (vi) separately detecting an IR signal from the further sample(s) of known hydrocarbon concentration; and
thereafter(vii) calibrating the predictive model using the IR signal of the further sample(s) of known hydrocarbon concentration; wherein application of the predictive model to the unknown sample selectively predicts petroleum hydrocarbon concentration therein. - View Dependent Claims (13, 14, 15)
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Current AssigneeCommonwealth Scientific & Industrial Research Organisation (Commonwealth Of Australia As Represented By Department Of Industry, Innovation, Climate Change, Science, Research And Tertiary Education)
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Original AssigneeCommonwealth Scientific & Industrial Research Organisation (Commonwealth Of Australia As Represented By Department Of Industry, Innovation, Climate Change, Science, Research And Tertiary Education)
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InventorsMcLaughlin, Michael John, Forrester, Sean Thomas, Janik, Leslie Joseph
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Primary Examiner(s)RIFKIN, BEN M
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Application NumberUS13/497,145Publication NumberTime in Patent Office1,544 DaysField of Search706/52US Class Current706/12CPC Class CodesG01N 21/3563 for analysing solids; Prepa...G01N 21/359 using near infrared lightG01N 2201/129 Using chemometrical methodsG01N 33/241 for hydrocarbon content dri...
