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Crude oil identification method based on microscopic confocal Raman spectrum

A technology of crude oil and spectroscopy, applied in Raman scattering, material excitation analysis, etc., can solve the problems of data authenticity discount, achieve the effect of enhancing accuracy and persuasiveness, enriching fingerprint information, and avoiding errors and uncertainties

Inactive Publication Date: 2013-11-20
DALIAN MARITIME UNIVERSITY
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AI Technical Summary

Problems solved by technology

For such a complex system, if the traditional polynomial fitting method is used for baseline subtraction, the Raman spectrum signal of the sample will inevitably be subtracted, and the authenticity of the data will be greatly reduced
Therefore, the identification of crude oil samples and the collection of fingerprint information based on Raman spectroscopy are a challenging subject to be solved urgently.

Method used

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  • Crude oil identification method based on microscopic confocal Raman spectrum
  • Crude oil identification method based on microscopic confocal Raman spectrum
  • Crude oil identification method based on microscopic confocal Raman spectrum

Examples

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Embodiment 1

[0056] The crude oil samples used in this example were provided by the State Key Laboratory of Heavy Oil, China University of Petroleum (Beijing), and were respectively from Brazil, Liaohe, Sudan, Venezuela and Fengcheng, Xinjiang. Before using the Raman spectrometer for detection, first use high-purity quartz glass slides and coverslips to prepare crude oil samples.

[0057] 1. Crude oil fingerprint collection: use Horiba JY XploRA micro confocal Raman spectrometer, aperture 100μm, slit 50μm, grating 1200cm -1 , room temperature 23°C, CCD detector temperature -70°C.

[0058] ①Collect fingerprint data with prominent Raman features but weak fluorescence features: two parallel samples were taken for each crude oil, numbered respectively: Brazil 01, 02, Liaohe 01, 02, etc., among which Sudan 01 was used as blind sample 01, and Liaohe 02 was used as blind sample 01. For blind sample 02, a verification test was performed during cluster analysis.

[0059] Detection parameters: set...

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Abstract

The invention discloses a crude oil identification method based on microscopic confocal Raman spectrum. The method comprises the following steps: by changing parameters of a Raman spectrometer, respectively acquiring three different types of fingerprint data of a crude oil sample: fingerprint data with significant Raman characteristics and weak fluorescence characteristics, fingerprint data with significant fluorescence characteristics and weak Raman characteristics, and fingerprint data with significant Raman characteristics and fluorescence characteristics; and carrying out clustering analysis on the fingerprint data so as to obtain crude oil clustering results. According to the invention, uncertain factors and errors caused by deducting a baseline by traditional Raman data processing software in a polynomial fitting mode are avoided; due to the mutual complementation and verification of the clustering results of the three types of fingerprint data, the precision and credibility of crude oil identification results can be significantly improved, an important basis can be provided for the responsibility identification and economic compensation of oil spilling events, and a theoretical basis can be provided for exploring a migration and transformation mechanism of oil spilling in pollution abatement and environmental modification processes.

Description

technical field [0001] The invention relates to a method for identifying crude oil, in particular to a method for identifying fingerprints of crude oil based on microscopic confocal Raman spectroscopy, and belongs to the field of detection and control of marine environmental pollution. Background technique [0002] In oil development and ocean transportation, oil spill accidents occur frequently, causing extremely serious damage to the environment and ecosystem. Traceability analysis through oil fingerprints can not only provide an important basis for the determination of responsibility and economic compensation for oil spills, but also provide a theoretical basis for exploring the migration and transformation mechanism of oil spills in the process of pollution control and environmental restoration. [0003] Oil fingerprint studies have been reported by gas chromatography-mass spectrometry [1-3] , HPLC [4] , stable isotope mass spectrum [5] , NMR [6] ,Fluorescence Spectr...

Claims

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Application Information

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IPC IPC(8): G01N21/65
Inventor 于迎涛屈佩玲王金芝刘红娅
Owner DALIAN MARITIME UNIVERSITY
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