METHOD OF IDENTIFYING MULTICOMPONENT HYDROCARBON SYSTEMS BY STATISTICAL PARAMETERS OF ELECTRON ABSORPTION SPECTRUM SIGNAL Russian patent published in 2017 - IPC G01N21/31 

Abstract RU 2639139 C1

FIELD: chemistry.

SUBSTANCE: method includes selecting and recording spectra of solutions in the visible region of electromagnetic radiation, a sample weight of 0.1-0.2 g is taken into the weighed flask of 50 ml of volume, then 30-40 ml of toluene is poured into the flask with the sample weight, after complete dissolution of the product in toluene, the flask with the solution is weighed and the solution concentration is determined by the formula: c =(sample weight, g*1000)/(solution weight, g*0.8669), then the solution is poured into a transparent quartz cuvette and the optical density D is fixed with a spectrophotometer at wavelengths λ=380-780 nm in increments Δλ=1 nm, after which the values of the specific absorption coefficient k(λ)(l/(g⋅cm)) are determined, at the same wavelengths according to the Bouguer-Lambert-Beer law: k(λ)=D(λ)/(c⋅l), where l is the thickness of the absorbing layer; c - the concentration of the solution. Objects are identified by the statistical parameters of electronic signal absorption spectrum: mathematical expectation, variance, autocovariation and autocorrelation functions of the spectrum allocation with subsequent comparison of these parameters with the parameters of the standards, wherein the calculation of the statistical parameters is performed according to the formulas. In the case of the correspondence of the obtained values of the calculated statistical parameters to the values of the standard, the belonging of the investigated object is determined.

EFFECT: identification of multicomponent hydrocarbon systems on the statistical signal parameters of the electronic absorption spectrum in the visible region, which is suitable for both diluted in solvent and undiluted multicomponent hydrocarbon systems.

2 cl, 1 tbl, 3 ex

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RU 2 639 139 C1

Authors

Yarmukhametova Gulnara Ulfatovna

Dolomatov Mikhail Yurevich

Manapov Rafael Salikhovich

Dolomatova Milana Mikhajlovna

Dates

2017-12-19Published

2016-10-21Filed