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Oil species identification method by sea oil spill concentration auxiliary auxiliary parameter fluorescence spectrum

A technique of fluorescence spectroscopy and auxiliary parameters, which is applied in the field of oil species identification of marine oil spills, can solve problems such as difficulties in laboratory application, inability to further analyze quantitative values ​​of polluted areas, and expensive analytical instruments

Inactive Publication Date: 2009-06-17
WEIFANG UNIVERSITY
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Problems solved by technology

[0005] However, it has not been used as an independent identification method, and at the same time, it has not been able to further analyze the quantitative value of pollution from various sources entering the polluted area.
It is necessary to integrate various chemical fingerprint methods (near infrared spectroscopy NIR, Fourier transform infrared spectroscopy FTIR, high performance liquid chromatography HPLC, multidimensional chromatography HPLC-GC, nuclear magnetic resonance NMR-C13 and NMR-MH, etc.) As a result, some methods such as cluster analysis (such as PCA) are used for identification. These methods are not only expensive for analytical instruments, but also cumbersome to operate. It is difficult to apply in general laboratories, let alone real-time monitoring in Shanghai.
[0006] Traditional fluorescence techniques mainly include emission spectroscopy, three-dimensional fluorescence and synchronous fluorescence and various related data analysis methods, which are widely used in compound analysis, but their success is mainly limited to single component or simple multi-group Analysis of Aromatic Compounds
For the extremely complex multi-component mixture of crude oil and other pollutants, the traditional spectral analysis method has been applied to dilute the crude oil sample to a lower concentration range. It is considered that this range is the linear range of concentration, and the fingerprint does not change with the concentration. This is used as the basis for fluorescence identification, but the three-dimensional spectrum has serious spectral overlap phenomenon, and the method of using various statistical characteristic parameters and artificial neural network and other data methods cannot really solve this kind of problem, and it also causes huge calculation data. Time-consuming

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  • Oil species identification method by sea oil spill concentration auxiliary auxiliary parameter fluorescence spectrum
  • Oil species identification method by sea oil spill concentration auxiliary auxiliary parameter fluorescence spectrum
  • Oil species identification method by sea oil spill concentration auxiliary auxiliary parameter fluorescence spectrum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] 1. Configuration of oil spill sample series concentration extraction solution

[0022] For a certain oil spill sample, it is necessary to prepare the corresponding concentration from 10g / L to 1.0×10 -4 g / L of 18 groups of sample extracts. The specific preparation method of the extract is: use an electronic balance to weigh 0.10 g of each of the above crude oil samples, and prepare in a measuring cup into a stock solution with a corresponding concentration of 10.0 g / L, which is also the first group of samples to be tested. After the first group of samples is prepared, the glass stopper should be tightly closed to prevent the volatilization of the extractant. It can be placed in a warm water bath to speed up the dissolution, and each colorimetric tube can be shaken to promote the full dissolution of the crude oil sample in the extractant. After the crude oil sample was fully dissolved, extracts from groups 2 to 18 were prepared by diluting the concentration in half. The ...

Embodiment 2

[0030] 1. Configuration of oil spill sample series concentration extraction solution

[0031] For a certain oil spill sample, it is necessary to prepare the corresponding concentration from 10g / L to 1.0×10 -4 g / L of 18 groups of sample extracts. The specific preparation method of the extract is: use an electronic balance to weigh 0.10 g of each of the above crude oil samples, and prepare in a measuring cup into a stock solution with a corresponding concentration of 10.0 g / L, which is also the first group of samples to be tested. After the first group of samples is prepared, the glass stopper should be tightly closed to prevent the volatilization of the extractant. It can be placed in a warm water bath to speed up the dissolution, and each colorimetric tube can be shaken to promote the full dissolution of the crude oil sample in the extractant. After the crude oil sample was fully dissolved, extracts from groups 2 to 18 were prepared by diluting the concentration in half. The ...

Embodiment 3

[0039] 1. Configuration of oil spill sample series concentration extraction solution

[0040] For the range of series concentrations of oil spill samples, under normal conditions, 10g / L to 1.0×10 -4 g / L. Considering the requirements for the amount of data information, the concentration range can also be appropriately reduced or increased, but it should not be limited to high or low concentrations, and should have a span of at least two orders of magnitude. For commonly used fluorescence spectrophotometers, the maximum can be extended from 20g / L to 1.0×10 -6 g / L, if laser-induced fluorescence spectroscopy is used, the concentration range can be reduced to 1.0×10 -9 g / L.

[0041] Weigh a conventional oil spill sample for simultaneous spectrum measurement under a series of concentrations. For a certain oil spill sample, it is necessary to prepare the corresponding concentration from 20g / L to 1.0×10 -6 Each n group of sample extracts in g / L, the number of n and the concentrati...

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Abstract

The invention discloses an oil type identification method. The oil spill fluorescence spectra of serial concentrations in a certain concentration range are taken as fingerprint identification indexes to identify oil types, and can be considered as a traditional fluorescence spectrum plus a dimensionality that is the concentration so as to obtain more fluorescence signals of an oil spill sample, thus improving capability of identifying the oil types. The identification method comprises the following steps: half-diluting the normal oil spill sample with a certain fixed original concentration to prepare extraction liquids of the serial concentrations, and measuring the fluorescence spectra of the extraction liquids; selecting a 3D fluorescence spectrum or a synchronous fluorescence spectrum according to requirements for detection precision and data processing speed, thus establishing a concentration parameter supplemental characteristic spectrum database of the normal oil spill samples of different oil sources sequentially. While identifying the oil type of a certain oil spill sample, the oil spill sample is extracted and diluted in the same way, and the corresponding characteristic spectrum is obtained and identified by being compared with the sample characteristic spectrum in the database, thus the optimal matched sample is the oil type of the oil spill sample.

Description

Technical field: [0001] The invention relates to an oil species identification technology for marine oil spills, in particular to a method for identifying oil species by using the oil spill fluorescence spectrum under a series of concentrations within a certain concentration range as a fingerprint identification index. Background technique: [0002] The frequent occurrence of marine oil spill accidents and its serious harm to marine environmental safety and human health have brought the research on marine oil spill to one of the focuses of global environmental issues. Therefore, it is necessary to establish a set of rapid, real-time, economical, simple, Practical and easy-to-promote analysis techniques for polycyclic aromatic hydrocarbons (PAHs) in marine oil spill samples are of great practical value to China, the world's largest developing country with increasingly severe environmental pressure. [0003] Due to their high Kow value (octanol-water partition coefficient), po...

Claims

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Application Information

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IPC IPC(8): G01N21/64G01N33/28
Inventor 王春艳郭丽君孟庆国
Owner WEIFANG UNIVERSITY
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