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Asphalt analysis discriminating method

A technology of molecular weight and ion cyclotron resonance, which is applied to the analysis of materials, material analysis by electromagnetic means, and measurement devices, can solve problems such as time-consuming and labor-consuming, distortion of test results, and inability to effectively control the quality of asphalt, so as to ensure accuracy and the effect of reproducibility

Active Publication Date: 2012-06-20
RES INST OF HIGHWAY MINIST OF TRANSPORT
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This traditional method is not only time-consuming and labor-intensive, but also susceptible to the influence of modifiers and stabilizers, which distorts the test results
Therefore, it is impossible to obtain the characteristic "fingerprint" information of asphalt by simple physical property index detection, and it is impossible to really effectively control the quality of asphalt.
The lack of effective asphalt quality testing methods and quality control brings great risks in the construction of road pavement

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] Embodiment 1: a kind of identification of petroleum asphalt

[0035] 1. Using the instrument

[0036] Apex Ultra Fourier Transform Ion Cyclotron Resonance Mass Spectrometer (FT-ICRMS) of American Bruker Company, magnetic field strength 9.4T, electrospray ionization source (ESI).

[0037] Second, the specific experimental process.

[0038] 1) Set the injection flow rate of electrospray Fourier transform ion cyclotron resonance mass spectrometry (ESI FT-ICR MS) to detect asphalt at 180 μL h -1

[0039] 2) Select the negative ion detection mode of electrospray Fourier transform ion cyclotron resonance mass spectrometry (ESI FT-ICR MS), and adjust the nebulizer gas flow rate to 1.2L min -1 , drying gas flow rate 5L min -1 , drying gas temperature 200°C, polarization voltage 4000V, capillary inlet voltage 4500V, capillary outlet voltage -320V, reflection plate -300V, quadrupole Q1=200Da, radio frequency 700Vpp; collision energy 1.3V, source storage time 0.01s, The stora...

Embodiment 2

[0056] Example 2: Representative Petroleum Bitumen Comparison

[0057] Analyze according to embodiment 1 method

[0058] Data analysis processing and its results

[0059] 1) 1# sample molecular weight Mw / Mn=493 / 465, 2# sample molecular weight Mw / Mn=506 / 477, # sample sample molecular weight Mw / Mn=443 / 414, 4# sample molecular weight Mw / Mn=546 / 512 ( See Figure 4 ).

[0060] 2) Select the partial amplification of m / z=401 in the spectrum to identify the compound type of the main peak, mainly N 1 , O 1 , O 2 , O 2 S 1 and N 2 Five heteroatom types (see Figure 5 ).

[0061] 3) Evaluate the four kinds of asphalts by the method of spectrogram matching. No matter in overall characteristics or local characteristics, the four asphalts have significant differences.

[0062] Table 1 Standard sample repeatability analysis results

[0063]

[0064] Table 2 Repeatability analysis results of samples to be tested

[0065]

[0066] Table 3 Comparison results of characteristi...

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Abstract

The invention relates to an asphalt analysis discriminating method by utilizing an electronic spray ionization Fourier transform ion cyclotron resonance mass spectrometry technology. The asphalt analysis discriminating method comprises the following steps of: (1) detecting a standard sample in an electronic spray ionization Fourier transform ion cyclotron resonance mass spectrometer to determine molecular composition, molecular weight and distributed mass spectrometric data of a polar compound in the standard sample; (2) detecting a sample to be detected in the electronic spray ionization Fourier transform ion cyclotron resonance mass spectrometer to determine the molecular composition, molecular weight and distributed mass spectrometric data of another polar compound in the sample to be detected; and (3) evaluating differences of the molecular compositions, molecular weights and distribution of the sample to be detected and the standard sample, detected in a wide band mode and a narrow band mode, by utilizing a spectral ratio method and a repeatability limit method to obtain an asphalt fingerprint identification result. Through the asphalt analysis discriminating method disclosed by the invention, the characteristics of the obtained asphalt fingerprint are remarkable and have very high representativeness and reliability; and the variety discrimination and product identification of petroleum asphalt, coal pitch, natural asphalt (consisting of rock asphalt and lake asphalt) can be realized by comparison of asphalt fingerprint mass spectrometric data of the standard sample and the sample to be detected.

Description

technical field [0001] The invention belongs to an asphalt fingerprint identification method, in particular to an asphalt analysis and identification method based on Fourier transform ion cyclotron resonance mass spectrometry. Background technique [0002] Bitumen is a complex mixture of various complex polymer hydrocarbons and their derivatives. Its quality directly determines the construction quality of asphalt pavement, and affects the performance and service life of asphalt pavement. At present, there are still unqualified asphalt products in my country's asphalt market. Although my country has formulated technical specifications for ordinary road petroleum asphalt, it is often judged whether the asphalt is qualified or not from the perspective of physical properties, such as the three common asphalt indicators: penetration, softening point and extension. This traditional method is not only time-consuming and labor-intensive, but also easily affected by modifiers and st...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/62
Inventor 曹东伟杨闯张海燕史权
Owner RES INST OF HIGHWAY MINIST OF TRANSPORT
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