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Article

Purification of Quinoline Insolubles in Heavy Coal Tar and Preparation of Meso-Carbon Microbeads by Catalytic Polycondensation

1
School of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China
2
Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi’an 710021, China
3
State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, China
*
Author to whom correspondence should be addressed.
Materials 2024, 17(1), 143; https://doi.org/10.3390/ma17010143
Submission received: 10 May 2023 / Revised: 23 October 2023 / Accepted: 24 October 2023 / Published: 27 December 2023

Abstract

:
The quinoline-insoluble (QI) matter in coal tar and coal tar pitch is an important factor affecting the properties of subsequent carbon materials. In this paper, catalytic polycondensation was used to remove QI from heavy coal tar, and meso-carbon microbeads could be formed during the purification process. The results showed that AlCl3 had superior catalytic performance to CuCl2, and the content of QI and heavy components, including pitch, in the coal tar was lower after AlCl3 catalytic polycondensation. Under the condition of catalytic polycondensation (AlCl3 0.9 g, temperature 200 °C, and time 9 h), AlCl3 could reduce the QI content in heavy coal tar. The formed small particles could be filtered and removed, and good carbon materials could be obtained under the condition of catalytic polycondensation (AlCl3 0.9 g, temperature 260 °C, and time 3 h).

1. Introduction

Coal is an important chemical raw material [1,2], and a great amount of by-product coal tar is produced from the coal chemical industry every year [3,4,5]. The production of low-temperature coal tar produced by the coal chemical industry is especially abundant in the northern region of Shaanxi, China [6,7]. Since the local coal is the raw material for producing high-quality semicoke, the tar content is high. There are tar-rich coals with yields greater than 7%, and even high-tar coals containing 12% [8,9]. Although the coal in northern Shaanxi is of good quality and low sulfur content, the prepared blue carbon is of good quality and has a wide market, but the classification and utilization of tar is still an important problem that local coal enterprises urgently need to solve [10,11,12].
Coal tar is distilled to extract different oil products and raw materials [13,14,15]. Although the heavy components can be fully utilized by means of catalysis or hydrogenation [16,17,18], coal tar pitch contains inorganic and organic quinoline-insoluble matter [19,20]. This makes the purification of coal tar pitch the key to further deep processing to prepare high-performance and high-value-added carbon materials [21,22].
The quinoline-insoluble particles in coal tar pitch are divided into primary quinoline insolubles and secondary quinoline insolubles [23]. The QI content is mainly composed of pyrolytic carbon, pitch coke, and tar solids, whereas the primary QI content is derived from the nanoparticles decomposed by hydrocarbons [24]. The difference in QI content will directly affect the performance of carbon materials and composite materials. And the existence of QI particles will reduce the viscosity of the system, which increases the difficulty of graphitizing subsequent carbon materials [25]. It is generally believed that the primary QI will limit the development of mesophases and affect the properties of carbon materials [26].
With the increasing requirements of carbon product quality in the market [27], the removal of QI particles has become particularly important, and the purification of coal tar pitch has important economic and strategic significance [28]. After removing heavy components (quinoline insolubles) and mixing aromatic and aliphatic solvents, a suitable starting material for the preparation of needle coke was obtained [29]. Through centrifugation and thermal filtration, purified coal tar was obtained [30]. Jung-Chul An et al. [31] used different paraffins to extract QI particles and found that high temperature and high pressure could improve the extraction reaction. The QI content of the purified coal tar pitch was low, and it could be prepared for needle coke. Ionic liquids were also beginning to be used as solvents for QI removal, and their extraction process was more environmentally friendly than that of conventional solvents [32]. However, the solvent used in the extraction process still caused solvent volatilization and environmental pollution [33,34,35].
It has been reported in the literature that the content of QI particles could also be adjusted by heat treatment [36]. As an important treatment method, it could convert the active components in the pitch into secondary quinoline insolubles, increasing the QI particle size and making it easier to remove [37]. Xingwei Zhang et al. [38] added naphthyl-based mesophase pitch to refined coal tar pitch, and the additive acted as a nucleating agent for thermal condensation to accelerate the reaction. Therefore, we used the Lewis acid catalyst AlCl3 to prepare mesocarbon microbeads (MCMBs), which were easier to filter and remove from the QI content of coal tar pitch by catalytic polycondensation. That method was in line with the existing two-carbon policy, and it could also provide reference ideas for the subsequent purification of coal tar pitch and the preparation of high-quality carbon materials.

2. Experimental

2.1. Materials

The tar used in the experiment was low-temperature coal tar (mainly underwater heavy coal tar), which was a by-product of semicoke produced in a coal chemical enterprise in northern Shaanxi. The coal used by the company was locally produced tar-rich coal, mainly from the Zhangjiamao, Ningtiaota, and Hongliulin mining areas. In order to ensure that the experimental process can accurately restore the real production environment, the temperature of the laboratory should be controlled at about 21–25 °C, the relative humidity should be controlled at 45–55%, and the tar should be stored in a polyethylene plastic barrel.
The supplier of AlCl3 is Damao Chemical Reagent Factory, Tianjin, China, and CuCl2 is provided by Shantou Xilong Chemical Industry Factory Co., Ltd., Guangdong, China.

2.2. Methods

2.2.1. Purification and Separation of Quinoline Insolubles and Mesocarbon Microbeads from Heavy Coal Tar

Using AlCl3 as a catalyst, a catalytic polycondensation method was used to cause heterogeneous nucleation of quinoline-insoluble (QI) particles in heavy coal tar, promoting the formation of mesophase small spheres to realize the purification of heavy coal tar. QI content in the initial heavy coal tar was measured, and then QI content after the purification was also measured. The purified heavy coal tar was separated from the meso-carbon microbeads by vacuum filtration. They were collected and weighed, and their yield was calculated. After measurement, the QI content of the original heavy coal tar was 0.1303 g, accounting for 1.303% of the total heavy coal tar.

2.2.2. Composition Analysis of Heavy Coal Tar

To detect the coal tar, a simulated distillation method was adopted to analyze the distribution of each fraction, and it was carried out on a gas chromatograph. The instrument is produced by Beijing Purse General Instrument Co., Ltd. (GC1100) (Beijing, China). The working conditions included 99.999% nitrogen as the carrier gas, with a flow rate of 1 mL/min. The inlet temperature was 300 °C for 2 min, and the column oven temperature was 40 °C, which was gradually increased to 330 °C at 5 °C·min−1 and maintained for 3 min.

2.3. Orthogonal Experiment Design

An orthogonal experiment with three factors and four levels was designed, as shown in Table 1, after analysis, and the experiment was carried out according to the L16 (43) orthogonal array shown in Table 2. The three factors of AlCl3 addition (0 g, 0.3 g, 0.6 g, 0.9 g), heat polycondensation temperature (170 °C, 200 °C, 230 °C, 260 °C), and heat polycondensation time (3 h, 6 h, 9 h, 12 h) were investigated for their content of quinoline-insoluble (QI) particles. Additionally, the yield of MCMBs was also obtained from the factors and levels listed in the orthogonal table.

2.4. Characterization

The pulverized coal used in the test weighed 10 g. The working conditions for the determination of X-ray diffraction were a voltage of 36 kV and a current of 20 mA. The starting angle was 5°, and the ending angle was 120°. The step width was 0.02°; the wavelength was 1.788972 Å; and Cu was the target.
The Fourier infrared spectrometer was produced by Bruker (Billerica, MA, USA), and the model was VERTEX 70. The pulverized coal used in the test weighed 5 g. The test conditions were as follows: the scanning range of the infrared spectrometer was 4000–400 cm−1, the number of scans was 28, and the resolution was 0.4 cm−1.
The morphology of MCMB was observed using an electron microscope, model JSM-6460LV (produced by Japan Electron Beam Corporation (Tokyo, Japan)), in which the working voltage was 20 kV and the magnification was approximately 5000 times and 10,000 times.

3. Result and Discussion

3.1. Purification of QI Particles in Heavy Coal Tar by Catalytic Polycondensation

Under conditions of 200 °C and 6 h, different amounts of catalysts were selected to catalyze the polycondensation of heavy coal tar. The relationship between the QI content of purified heavy coal tar and the amount of catalyst was explored, and the best catalyst was selected as the basis for subsequent research. In addition to inorganic substances in QI matter, there were also a large number of fused-ring aromatic structures. After adding the Lewis acid catalysts AlCl3 and CuCl2, a catalytic polycondensation reaction occurred. In the reaction process, part of the aliphatic side chain was removed, more alkyl groups and cycloalkyl groups were obtained, and a highly condensed, fused-ring macromolecular compound was formed. This catalytic polycondensation process is illustrated in Figure 1. It can be seen from Figure 2a that the QI content decreased after adding AlCl3 and CuCl2, and the use of an AlCl3 catalyst had a better QI removal effect. The comparison of heavy coal tar before and after purification is shown in Figure 2b. From its appearance, the color of unpurified raw, heavy coal tar was deep, while the color of the heavy coal tar after purification was lighter. The content of light fractions in purified heavy coal tar increased overall, as shown in Figure 2c. After purification with AlCl3, the content of phenol oil, naphthalene oil, and anthracene oil increased, while the content of light oil, washing oil, and pitch decreased. And after purification with CuCl2, the content of light oil, phenol oil, and anthracene oil increased, and the content of naphthalene oil, washing oil, and pitch decreased. This shows that in the purification of heavy coal tar, the Lewis acid catalysts AlCl3 and CuCl2 can reduce the activation energy of aromatic molecules and change the aromaticity of heavy coal tar [39,40]. Especially under the catalysis of AlCl3, the content of the pitch component in the heavy coal tar system decreased, as shown in Figure 2d.
According to the influence of polycondensation temperature, polycondensation time, and AlCl3 addition on the change in QI content, this paper established an orthogonal experiment table of 3 factors and 4 levels. The experiment was carried out according to the conditions in Table 3, and the measured QI content was used as the experimental result.
The range analysis of QI content in Table 3 was obtained through calculation. Kj is the sum of each factor at the same level, and kj is the mean value at the same level; that is, kj = Kj/4. Through the range analysis, the range (R) value was obtained by Equation (1). The value of R represents the importance of the factors, so the importance of the three factors in descending order is time, AlCl3 addition, and temperature. According to the experimental results of the QI content, the result of experiment number 14 was the best. And the corresponding factor was the best experimental condition factor; that is, when the AlCl3 addition was 0.9 g, the temperature was 230 °C, and the time was 9 h. After the catalytic polycondensation of heavy coal tar, the QI content was the lowest.
R = max k j - min k j   ( j = AlCl 3   addition ,   Temperature ,   Time ;   and   j = 1 ,   2 ,   3 ,   4 )
In addition, the variance analysis of each factor was also analyzed for the QI content. In Table 4, SS is the sum of squared deviations of various levels under different factors; MS is mean square; Df is degrees of freedom; and the F value is the ratio of MS in different factors to that of the error column. The p-value is the possibility that it may be greater than the F value. In general, when the p-value was less than 0.05, it was considered that the factor had a significant impact on the experimental results and it was an important indicator affecting the experimental indicators. According to the calculation results, it is known that the AlCl3 addition, temperature, and time all had a significant effect on the removal of QI by the catalytic polycondensation of heavy coal tar. And all parameters were calculated using relevant functions in Excel.
The relationship between different experiment numbers and QI content is shown in Figure 3a. The smaller the QI content, the better the heavy coal tar purification effect, and this shows more as it gets closer to the center of the circle in the figure. As also shown in Figure 3b, the projection of the minimum QI content of three different factors on the YZ axis can illustrate the combination of the optimal level and the optimal scheme. Figure 3c illustrates the effect of QI content under different factors, and it illustrates the influence and trend of thermal polycondensation conditions on QI content under different factors. And the difference between the maximum and minimum QI content is precisely the R value in the orthogonal experiment table. The effects of each factor on average-level mean square deviation are shown in Figure 3d, in which the abscissa is related to the four factors corresponding to AlCl3 addition: temperature, time, and error, successively.

3.2. Preparation of Mesophase Carbon Microspheres by Catalytic Polycondensation

Under the conditions of 200 °C and 6 h, different amounts of catalysts were selected to catalyze the polycondensation of heavy coal tar to prepare the MCMBs. The different Lewis acids, AlCl3 and CuCl2, had a significant effect on the MCMB yields. It can be seen from Figure 4a that after adding the Lewis acid catalyst, the MCMB yields were significantly improved. When the addition amount of catalyst was 0.9 g, the MCMB yields were the highest, which were 11.06% and 9.98%, respectively.
Samples were taken at different polycondensation times to observe the morphology of the MCMBs. The growth process of the mesosphere spheres at different temperatures is shown in Figure 4b–e. The added AlCl3 would act as a primary QI, which had a positive effect on the formation of the MCMBs, and some related articles had been reported. That was the main reason that the added inorganic matter caused heterogeneous nucleation of tar during polycondensation, and the inorganic matter acted as the nucleating agent [41]. It reduced the surface energy of the heavy coal tar system and adhered to the surface of the spheres to prevent the growth and fusion between spheres [42], which was also the reason why the surface of the small spheres was not smooth, as shown in Figure 4c.
Similar to the QI content in the catalytic polycondensation to purify heavy coal tar, it established an orthogonal experiment table of 3 factors and 4 levels (polycondensation temperature, polycondensation time, and AlCl3 addition) on the MCMB yield. And Table 5 shows the factors affecting the MCMB yield and its results. The R-value showed that the AlCl3 addition, temperature, and time all had a significant effect on the formation of MCMBs by the catalytic polycondensation of heavy coal tar.
In Table 6, the p value of the catalytic polycondensation time is greater than 0.05, indicating that the effect of time on the preparation of MCMB is not obvious when the heavy coal tar catalytic polycondensation is used to prepare MCBM, and it mainly lies in the catalyst and temperature, which is consistent with previous reports.
The distribution of MCMB yield under different experiment numbers is shown in Figure 5a. Under the optimal catalytic polycondensation conditions (catalyst 0.9 g, catalytic polycondensation temperature 200 °C, catalytic polycondensation time 9 h), the content of QI was the lowest, which was 0.035%. Under these optimal conditions, the MCMB yield was only 9.76%, and it did not reach the maximum value of 17.91%. As also shown in Figure 5b, the projection of the maximum MCMB yield of three different factors on the YZ axis can illustrate the combination of the optimal level and the optimal scheme. Figure 5c illustrates the effect of MCMB yield under different factors, and it illustrates the influence and trend of thermal polycondensation conditions on MCMB yield under different factors. The difference between the maximum and minimum MCMB yield is precisely the R value in the orthogonal experiment table. The effects of each factor on average-level mean square deviation are shown in Figure 5d, in which the abscissa is related to the four factors corresponding to AlCl3 addition, temperature, time, and error, successively.

4. Conclusions

Using catalytic polycondensation by the Lewis acid catalysts AlCl3 and CuCl2, it was found that AlCl3 was more effective in purifying QI and could reduce the pitch content of coal tar. Under the condition of catalytic polycondensation (AlCl3 0.9 g, temperature 200 °C, and time 9 h), the content of QI was reduced to 0.035%. And according to the orthogonal experimental analysis, the polycondensation time had more influence on the removal of QI by catalytic polycondensation. Under the condition of catalytic polycondensation (AlCl3 0.9 g, temperature 260 °C, and time 3 h), the content of MCMBs was the highest, up to 17.91%. The amount of catalyst showed more obvious effects, according to the orthogonal experimental analysis.

Author Contributions

Conceptualization, L.Z.; methodology, Y.J.; software, Z.Z.; validation, Y.C.; investigation, Q.W.; data curation, R.S.; writing—original draft preparation, R.S.; writing—review and editing, R.S. All authors have read and agreed to the published version of the manuscript.

Funding

This investigation was financially supported by the Key Research and Development Plan of Ningxia Hui Autonomous Region (Program No. 2023BEG02058); the Technology Innovation Leading Program of Shaanxi (Program No. 2022QFY06-04); Natural Science Basic Research Program of Shaanxi (Program No. 2019JL-01); and the Key Research and Development Program of Shaanxi (Program No. 2021SF-445).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Liu, J.; Ma, H.; Wang, Q.; Tian, S.; Xu, Y.; Zhang, Y.; Yuan, X.; Ma, Q.; Xu, Y.; Yang, S. Optimization of energy consumption structure based on carbon emission reduction target: A case study in Shandong Province, China. Chin. J. Popul. Resour. Environ. 2022, 20, 125–135. [Google Scholar] [CrossRef]
  2. Chen, C.; Zhang, X.D.; Tang, Q.; Tang, M.X.; Li, X.K.; Liu, L.; Dong, J.X. Understanding the catalytic behavior of ionic liquids in tetralin alkylation with α-olefins through experiment and COSMO-RS model. Chem. Eng. Sci. 2023, 276, 118794. [Google Scholar] [CrossRef]
  3. Morgan, T.J.; Kandiyoti, R. Pyrolysis of Coals and Biomass: Analysis of Thermal Breakdown and Its Products. Chem. Rev. 2014, 114, 1547–1607. [Google Scholar] [CrossRef] [PubMed]
  4. Xue, F.; Li, D.; Guo, Y.; Liu, X.; Zhang, X.; Zhou, Q.; Ma, B. Technical Progress and the Prospect of Low-Rank Coal Pyrolysis in China. Energy Technol. 2017, 5, 1897–1907. [Google Scholar] [CrossRef]
  5. Badea, S.-L.; Niculescu, V.-C.; Iordache, A.-M. New Trends in Separation Techniques of Lithium Isotopes: A Review of Chemical Separation Methods. Materials 2023, 16, 3817. [Google Scholar] [CrossRef]
  6. Lu, C.; Li, D.; Wang, L.; Fan, A.; Cui, W.; Li, W. Combined filtration and electric desalination for coal tar pretreatment. Energy Sources Part A Recovery Util. Environ. Eff. 2018, 40, 854–861. [Google Scholar] [CrossRef]
  7. Zhao, H.; Chen, Y.; Duan, X. Study on the factors affecting the deep reduction of coal gangue containing high contents of iron and sulfur. Fuel 2021, 288, 119571. [Google Scholar] [CrossRef]
  8. Hao, S.; Zhang, L.; Jia, Y. Synergistic effect of blast furnace slag on the pyrolysis process of oil-rich coal, tar product distribution and kinetic analysis. Energy Sources Part A Recover. Util. Environ. Eff. 2021, 1–14. [Google Scholar] [CrossRef]
  9. Ju, Y.; Zhu, Y.; Zhou, H.; Ge, S.; Xie, H. Microwave pyrolysis and its applications to the in situ recovery and conversion of oil from tar-rich coal: An overview on fundamentals, methods, and challenges. Energy Rep. 2021, 7, 523–536. [Google Scholar] [CrossRef]
  10. Wang, H.; Quan, B.; Bo, G.; Zhang, Y.; Liu, L.; Zhang, J.; Zhang, X.; Zhang, C. Advanced oxidation treatment of dissolved organic matter from wastewater treatment plant secondary effluent using scattering electrical reactor. J. Clean. Prod. 2020, 267, 122258. [Google Scholar] [CrossRef]
  11. Wang, J.; Yang, Z.; Wang, H.; Wu, S.; Lu, H.; Wang, X. Decomposition process of cefotaxime sodium from antibiotic wastewater by Up-flow Blanket Filter (UBF) reactor: Reactor performance, sludge characteristics and microbial community structure analysis. Sci. Total Environ. 2021, 758, 143670. [Google Scholar] [CrossRef] [PubMed]
  12. Page, J.R.; Manfredi, Z.; Bliznakov, S.; Valla, J.A. Recent Progress in Electrochemical Upgrading of Bio-Oil Model Compounds and Bio-Oils to Renewable Fuels and Platform Chemicals. Materials 2023, 16, 394. [Google Scholar] [CrossRef] [PubMed]
  13. Wang, H.; Luo, Z.-Y.; Fang, M.-X.; Wang, Q.-H. Controlled separation of coal tar based on different temperature. Fuel 2019, 258, 115700. [Google Scholar] [CrossRef]
  14. Zhao, N.; Liu, D.; Du, H.; Wang, C.; Wen, F.; Shi, N. Investigation on Component Separation and Structure Characterization of Medium-Low Temperature Coal Tar. Appl. Sci. 2019, 9, 4335. [Google Scholar] [CrossRef]
  15. Huang, Y.; Feng, J.; Liang, C.-H.; Huang, P.; Zhang, X.-W.; Xie, Q.; Li, W.-Y. Co-production of Naphthenic Oil and Phenolic Compounds from Medium- and Low-Temperature Coal Tar. Ind. Eng. Chem. Res. 2021, 60, 5890–5902. [Google Scholar] [CrossRef]
  16. Shen, Y. Chars as carbonaceous adsorbents/catalysts for tar elimination during biomass pyrolysis or gasification. Renew. Sustain. Energy Rev. 2015, 43, 281–295. [Google Scholar] [CrossRef]
  17. Lei, Z.; Hao, S.; Yusu, W.; Yang, J. Study on dry desulfurization performance of MnOx hydrothermally loaded halloysite desulfurizer. Environ. Technol. Innov. 2022, 26, 102308. [Google Scholar] [CrossRef]
  18. Zhao, H.; Li, Y.; Song, Q.; Liu, S.; Ma, L.; Shu, X. Catalytic reforming of volatiles from co-pyrolysis of lignite blended with corn straw over three iron ores: Effect of iron ore types on the product distribution, carbon-deposited iron ore reactivity and its mechanism. Fuel 2021, 286, 119398. [Google Scholar] [CrossRef]
  19. Kim, K.H.; Lee, S.; Kim, M.-I.; Lee, Y.-S. The effect of carbon black on reforming of pyrolysis fuel oil for a binder pitch. Fuel 2017, 206, 58–63. [Google Scholar] [CrossRef]
  20. Zhu, Y.; Liu, H.; Xu, Y.; Hu, C.; Zhao, C.; Cheng, J.; Chen, X.; Zhao, X. Preparation and Characterization of Coal-Pitch-Based Needle Coke (Part III): The Effects of Quinoline Insoluble in Coal Tar Pitch. Energy Fuels 2020, 34, 8676–8684. [Google Scholar] [CrossRef]
  21. Elkasabi, Y.; Mullen, C.A. Progress on Biobased Industrial Carbons as Thermochemical Biorefinery Coproducts. Energy Fuels 2021, 35, 5627–5642. [Google Scholar] [CrossRef]
  22. Tian, Y.; Huang, Y.; Yu, X.; Gao, F.; Gao, S.; Wang, F.; Li, D.; Xu, X.; Cui, L.; Fan, X.; et al. Co-Carbonization of Medium- and Low-Temperature Coal Tar Pitch and Coal-Based Hydrogenated Diesel Oil Prepare Mesophase Pitch for Needle Coke Precursor. Adv. Eng. Mater. 2021, 23, 2001523. [Google Scholar] [CrossRef]
  23. Meng, Y.-C.; Ma, Z.-K.; Cao, R.-X.; Song, H.-H. Purification of coal tar pitch by a combined thermal condensation and filtration method. Carbon 2020, 167, 930. [Google Scholar] [CrossRef]
  24. Kundu, N.; Bhunia, P.; Sarkar, S.; Biswas, P. Highly fluorescent carbon dots from quinoline insoluble residues in coal tar. Opt. Mater. 2020, 100, 109638. [Google Scholar] [CrossRef]
  25. Ali, N.; Zaman, H.; Zaman, W.; Bilal, M. Rheological properties, structural and thermal elucidation of coal-tar pitches used in the fabrication of multi-directional carbon-carbon composites. Mater. Chem. Phys. 2020, 242, 122564. [Google Scholar] [CrossRef]
  26. Zhu, Y.-M.; Zhao, X.-F.; Gao, L.-J.; Jun, L.; Cheng, J.-X.; Lai, S.-Q. Properties and micro-morphology of primary quinoline insoluble and mesocarbon microbeads. J. Mater. Sci. 2016, 51, 8098–8107. [Google Scholar] [CrossRef]
  27. Du, W.-S.; Sun, C.; Sun, Q. The Recent Progress of Pitch Nanoengineering to Obtain the Carbon Anode for High-Performance Sodium Ion Batteries. Materials 2023, 16, 4871. [Google Scholar] [CrossRef]
  28. Martucci, A.; Aversa, A.; Lombardi, M. Ongoing Challenges of Laser-Based Powder Bed Fusion Processing of Al Alloys and Potential Solutions from the Literature—A Review. Materials 2023, 16, 1084. [Google Scholar] [CrossRef]
  29. Wang, Y.; Hu, J.; Liu, D.; Liu, Z.; Zhang, H.; Zhang, S. Coal tar refining by aromatic-aliphatic solvent extraction for preparing QI-free pitch. Int. J. Oil Gas Coal Technol. 2020, 23, 395–408. [Google Scholar] [CrossRef]
  30. Liu, P.; Zhang, D.; Yang, X.; Cheng, B. An integrated method for preparing low quinoline insoluble modified pitch. Can. J. Chem. Eng. 2015, 93, 1448–1454. [Google Scholar] [CrossRef]
  31. An, J.-C.; Lee, S.-Y.; Park, J.-I.; Ha, M.; Shim, J.; Hong, I. Study of Quinoline Insoluble (QI) Removal for Needle Coke-Grade Coal Tar Pitch by Extraction with Fractionalized Aliphatic Solvents and Coke Formation Thereof. Appl. Sci. 2021, 11, 2906. [Google Scholar] [CrossRef]
  32. Huang, J.; Li, C.; Bai, L.; Nie, Y.; Wang, E.; He, Y.; Zhang, S. Extraction of coal-tar pitch using NMP/ILs mixed solvents. Sci. China Chem. 2014, 57, 1760–1765. [Google Scholar] [CrossRef]
  33. Wang, H.; Wang, J.; Bo, G.; Wu, S.; Luo, L. Degradation of pollutants in polluted river water using Ti/IrO2–Ta2O5 coating electrode and evaluation of electrode characteristics. J. Clean. Prod. 2020, 273, 123019. [Google Scholar] [CrossRef]
  34. Wang, H.; Zhang, L.; Tian, Y.; Jia, Y.; Bo, G.; Luo, L.; Liu, L.; Shi, G.; Li, F. Performance of nitrobenzene and its intermediate aniline removal by constructed wetlands coupled with the micro-electric field. Chemosphere 2021, 264, 128456. [Google Scholar] [CrossRef]
  35. Shu, H.; Liu, Y.; Jia, Y. Synthesis of Cu-BTC by room temperature hydrothermal and its low temperature SCR denitration. J. Mol. Struct. 2022, 1251, 132046. [Google Scholar] [CrossRef]
  36. Liu, P.; Zhang, D.; Yang, X. Effect of light component on the regulation of quinoline insolubility in pitch during thermal treatment. Asia-Pac. J. Chem. Eng. 2016, 11, 603–610. [Google Scholar] [CrossRef]
  37. Li, P.-P.; Xiong, J.-M.; Ge, M.-L.; Sun, J.-C.; Zhang, W.; Song, Y.-Y. Preparation of pitch-based general purpose carbon fibers from catalytic slurry oil. Fuel Process. Technol. 2015, 140, 231–235. [Google Scholar] [CrossRef]
  38. Shu, H.; Liu, Y.; Jia, Y. Construction of Cu-BTC by carboxylic acid organic ligand and its application in low temperature SCR denitration. Sci. Total Environ. 2022, 820, 152984. [Google Scholar] [CrossRef]
  39. Zhao, H.; Song, Q.; Liu, S.; Li, Y.; Wang, X.; Shu, X. Study on catalytic co-pyrolysis of physical mixture/staged pyrolysis characteristics of lignite and straw over an catalytic beds of char and its mechanism. Energy Convers. Manag. 2018, 161, 13–26. [Google Scholar] [CrossRef]
  40. Song, Q.; Bao, J.; Xue, S.; Zhang, P.; Mu, S. Collaborative disposal of multisource solid waste: Influence of an admixture on the properties, pore structure and durability of foam concrete. J. Mater. Res. Technol. 2021, 14, 1778–1790. [Google Scholar] [CrossRef]
  41. Zhang, L.; Jia, Y.; Xie, W.; Shu, H.; Lei, Z.; Song, Q.; Yan, Y.; Lu, X.; Song, S. Application and removal mechanism of ZnO/bentonite desulfurizer in the dry desulfurization. Appl. Phys. A Mater. Sci. Process. 2022, 128, 146. [Google Scholar] [CrossRef]
  42. Song, Q.; Zhao, H.; Jia, J.; Yang, L.; Lv, W.; Gu, Q.; Shu, X. Effects of demineralization on the surface morphology, microcrystalline and thermal transformation characteristics of coal. J. Anal. Appl. Pyrolysis 2020, 145, 104716. [Google Scholar] [CrossRef]
Figure 1. Mechanism of AlCl3 and CuCl2 catalytic polycondensation.
Figure 1. Mechanism of AlCl3 and CuCl2 catalytic polycondensation.
Materials 17 00143 g001
Figure 2. The effect of catalytic polycondensation on the purification effect of heavy coal tar: (a) is the relationship between QI content and QI removal rate; (b) is the comparison of heavy coal tar before and after purification under AlCl3 and CuCl2; (c) is the content of different fractions of heavy coal tar after purification; and (d) is the comparison of the content of different fractions of purified heavy coal tar.
Figure 2. The effect of catalytic polycondensation on the purification effect of heavy coal tar: (a) is the relationship between QI content and QI removal rate; (b) is the comparison of heavy coal tar before and after purification under AlCl3 and CuCl2; (c) is the content of different fractions of heavy coal tar after purification; and (d) is the comparison of the content of different fractions of purified heavy coal tar.
Materials 17 00143 g002
Figure 3. The effect of different conditions on the removal of QI by catalytic polycondensation: (a) is the distribution of QI content under different experiment numbers; (b) is projection of QI content on YZ axis under different conditions; (c) is the trend of QI content under different conditions; and (d) is mean square deviation of factors at different levels.
Figure 3. The effect of different conditions on the removal of QI by catalytic polycondensation: (a) is the distribution of QI content under different experiment numbers; (b) is projection of QI content on YZ axis under different conditions; (c) is the trend of QI content under different conditions; and (d) is mean square deviation of factors at different levels.
Materials 17 00143 g003
Figure 4. The effect of catalytic polycondensation to prepare MCMBs of heavy coal tar: (a) is the relationship between the quality of MCMBs and MCMB yields; (b) is the morphology of spheres after 3 h of catalytic polycondensation; (c) is the morphology of spheres after 6 h of catalytic polycondensation; (d) is the morphology of spheres after 9 h of catalytic polycondensation; and (e) is the morphology of spheres after 12 h of catalytic polycondensation.
Figure 4. The effect of catalytic polycondensation to prepare MCMBs of heavy coal tar: (a) is the relationship between the quality of MCMBs and MCMB yields; (b) is the morphology of spheres after 3 h of catalytic polycondensation; (c) is the morphology of spheres after 6 h of catalytic polycondensation; (d) is the morphology of spheres after 9 h of catalytic polycondensation; and (e) is the morphology of spheres after 12 h of catalytic polycondensation.
Materials 17 00143 g004
Figure 5. The effect of different conditions on the MCMB yields by catalytic polycondensation: (a) is the distribution of MCMB yields under different experiment numbers; (b) is projection of MCMB yields on YZ axis under different conditions; (c) is the trend MCMB yields under different conditions; and (d) is mean square deviation of factors at different levels.
Figure 5. The effect of different conditions on the MCMB yields by catalytic polycondensation: (a) is the distribution of MCMB yields under different experiment numbers; (b) is projection of MCMB yields on YZ axis under different conditions; (c) is the trend MCMB yields under different conditions; and (d) is mean square deviation of factors at different levels.
Materials 17 00143 g005
Table 1. Orthogonal factor and level table.
Table 1. Orthogonal factor and level table.
LevelFactors
AlCl3 Addition (g)Temperature (°C)Time (h)
101703
20.32006
30.62309
40.926012
Table 2. L16(43) Orthogonal array.
Table 2. L16(43) Orthogonal array.
LevelFactors
AlCl3 Addition (g)Temperature (°C)Time (h)
1111
2122
3133
4144
5212
6221
7234
8243
9313
10324
11331
12342
13414
14423
15432
16441
Table 3. Orthogonal designed table of QI content and its results.
Table 3. Orthogonal designed table of QI content and its results.
Experiment NumberFactors
AlCl3 Addition (g)Temperature (°C)Time (h)ErrorQI Content (%)
11 (0)1 (170)1 (3)10.388
212 (200)2 (6)20.227
313 (230)3 (9)30.135
414 (260)4 (12)40.099
52 (0.3)1240.201
622130.248
723420.053
824310.078
93 (0.6)1320.097
1032410.049
1133140.172
1234230.079
134 (0.9)1430.061
1442340.035
1543210.041
1644120.139
K10.8490.7470.9470.555
K20.5800.5590.5480.538
K30.3970.4010.3450.524
K40.2760.3950.2620.485
k10.2120.1870.2370.139
k20.1450.1400.1370.135
k30.0990.1000.0860.131
k40.0690.0990.0660.121
R0.1430.0880.1710.018
Table 4. Variance analysis of effect of polycondensation conditions on QI content.
Table 4. Variance analysis of effect of polycondensation conditions on QI content.
Evaluation IndexesFactors
AlCl3 Addition (g)Temperature (°C)Time (h)Error
SS0.04660.02070.07000.0010
Df3336
MS0.01550.00690.02330.0002
F-value96.722943.0197145.3975/
p-value0.000020.000190.00001/
Table 5. Orthogonally designed table of MCMB yield and its results.
Table 5. Orthogonally designed table of MCMB yield and its results.
Experiment NumberFactors
AlCl3 Addition (g)Temperature (°C)Time (h)ErrorMCMB Yield (%)
11 (0)1 (170)1 (3)10.059
212 (200)2 (6)20.087
313 (230)3 (9)30.121
414 (260)4 (12)40.179
52 (0.3)1241.71
622133.51
723425.69
824318.75
93 (0.6)1323.28
1032416.91
11331410.88
12342314.75
134 (0.9)1434.85
1442349.76
15432113.58
16441217.91
K10.4469.89932.35930.259
K219.66020.26730.12724.567
K335.82030.27121.91126.651
K446.10041.58917.62920.549
k10.1122.4758.0907.565
k24.9155.0677.5326.142
k38.9557.5685.4786.663
k411.52510.3974.4075.137
R11.4147.9233.6832.428
Table 6. Variance analysis of effect of polycondensation conditions on MCMB yield.
Table 6. Variance analysis of effect of polycondensation conditions on MCMB yield.
Evaluation IndexesFactors
AlCl3 Addition (g)Temperature (°C)Time (h)Error
SS298.168 138.098 35.822 19.979
Df3336
MS99.3892 46.0328 11.9407 3.3298
F-value29.8484 13.8245 3.5860 /
p-value0.0083 0.0255 0.1605 /
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Zhang, L.; Song, R.; Jia, Y.; Zou, Z.; Chen, Y.; Wang, Q. Purification of Quinoline Insolubles in Heavy Coal Tar and Preparation of Meso-Carbon Microbeads by Catalytic Polycondensation. Materials 2024, 17, 143. https://doi.org/10.3390/ma17010143

AMA Style

Zhang L, Song R, Jia Y, Zou Z, Chen Y, Wang Q. Purification of Quinoline Insolubles in Heavy Coal Tar and Preparation of Meso-Carbon Microbeads by Catalytic Polycondensation. Materials. 2024; 17(1):143. https://doi.org/10.3390/ma17010143

Chicago/Turabian Style

Zhang, Lei, Ruikang Song, Yang Jia, Zhuorui Zou, Ya Chen, and Qi Wang. 2024. "Purification of Quinoline Insolubles in Heavy Coal Tar and Preparation of Meso-Carbon Microbeads by Catalytic Polycondensation" Materials 17, no. 1: 143. https://doi.org/10.3390/ma17010143

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