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Article

Structural Characteristics and Direct Liquefaction Performance of Macerals in Yili Coal from Xinjiang

State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi 830017, China
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Authors to whom correspondence should be addressed.
Molecules 2026, 31(2), 375; https://doi.org/10.3390/molecules31020375
Submission received: 18 December 2025 / Revised: 15 January 2026 / Accepted: 19 January 2026 / Published: 21 January 2026
(This article belongs to the Section Molecular Structure)

Abstract

Effectively separating and utilizing macerals based on their properties is crucial for the efficient and high-value utilization of coal. This study enhances the traditional screening method by employing primary and stepwise crushing techniques to separate Yili coal (YLC) into inertinite-rich (YLI) and vitrinite-rich (YLV) concentrates. The structural characteristics and direct coal liquefaction (DCL) performance of YLC, YLV and YLI are subsequently studied. The results indicate that YLV exhibits the highest yield of oil, asphaltene and gas, a finding closely linked to its elevated content of highly active functional groups and its long aliphatic and bridge chains. Furthermore, the liquefaction oil from YLV contains the highest content of alkanes and phenols, which is attributed to its high content of aliphatic hydrocarbons and phenolic hydroxyl groups. In contrast, YLI exhibits the lowest product yield relative to YLC and YLV, with the highest contents of aromatics, esters, and ketones in its oil, due to its high contents of aromatic and carbonyl carbon. The separation, structural characteristics and DCL studies of macerals from Yili coal offer valuable insights for the efficient separation and utilization of macerals.

1. Introduction

Direct coal liquefaction (DCL) is a crucial technology for converting low-rank coal into liquid fuels and chemicals [1,2,3,4,5]. Its reaction conditions are relatively harsh, and the requirements for coal quality are also very strict. It is well known that coal is composed of three macerals: exinite, vitrinite and inertinite [6], which exhibit different liquefaction behaviors. The yields of their liquefaction oil follow the order of exinite > vitrinite > inertinite [7,8]. Therefore, the separation and utilization of macerals according to their properties can significantly enhance the efficient application of coal [9,10,11,12]. Macerals can be separated through hand picking, gravity separation, flotation and screening based on their physicochemical differences. Hand picking is a visual method that distinguishes and separates macerals based on macroscopic characteristics, such as color and luster. Although this method is user-friendly and retains the chemical properties of the macerals, it suffers from low efficiency and high subjectivity, making it suitable only for coal with prominent macroscopic characteristics, and it is not conducive to batch production [13]. In contrast, gravity separation is a method that separates macerals based on their density differences and is suitable for industrialization. However, this method exhibits strong dependence on water resources and requires efficient drying equipment to treat the products, which greatly increases costs [14]. Flotation separation is a process that separates macerals based on differences in their interfacial properties and hydrophobicity [15]. Typically, the differences in surface properties among macerals are minor, making it challenging for flotation to achieve highly selective separation of macerals [11,15,16]. Screening is a dry separation method that leverages the differences in crispness and hardness of macerals. The screening method is operationally simple and preserves the chemical properties of coal macerals. However, due to certain process limitations, the content of individual macerals in the products is typically less than 70% [16,17]. Therefore, developing a simple screening process to enrich a single maceral to over 80% is of great significance for studying the structural characteristics and transformation properties of different macerals.
Studying the structure of macerals is a practical approach to analyzing their differences in DCL performance and evaluating the yield and quality of liquefied oils [18,19]. Furthermore, the correlation between the liquefaction behavior and structural characteristics of macerals can provide theoretical support for developing more efficient and low-consumption DCL processes. For example, Shu et al. [20] established molecular structure models for vitrinite and inertinite from Shenhua coal. Based on bond-level parameters of the molecular model, they found that the liquefaction of vitrinite is thermodynamically controlled, whereas that of inertinite is dynamically controlled. By leveraging these distinct features, an efficient liquefaction technology for Shenhua coal was subsequently developed. Yu et al. [7] obtained exinite-rich and vitrinite-rich coal through isodensity gradient centrifugation. By combining 13C NMR, FT-IR and elemental analysis, the covalent bond concentrations in macerals were calculated. The DCL study revealed that the interaction between macerals promoted coal conversion and reduced hydrogen consumption. Lian et al. [21] developed models of the macerals from Heidaigou coal based on 13C NMR and XPS. They found that the significant difference in DCL performance between vitrinite and inertinite can be attributed to the higher content of aliphatic structures in vitrinite, whereas that of aromatic structures is higher in inertinite. These studies are crucial for establishing the relationship between structure and DCL of macerals, as well as their impact on the efficient conversion and utilization of coal. However, few studies have focused on the correlation between maceral structure and the liquefaction oil; therefore, this study aims to supplement this aspect.
This study explores the relationship between the crushing times and the maceral content of Yili coal. Utilizing an improved traditional screening method, YLI with an inertinite content of 83.08% is obtained through primary crushing and screening, while YLV with a vitrinite content of 80.80% is obtained through a stepwise crushing and screening process. Compared with the traditional screening method, this improved method increases the content of individual macerals. Additionally, compared to isodensity gradient centrifugation and flotation methods, this method is simpler and faster and requires no chemical reagents during separation. The distribution of functional groups and carbon structural characteristics of YLC, YLV and YLI are analyzed using FT-IR, Raman and 13C NMR spectra. The relationship between the structural characteristics and DCL behaviors of YLC, YLV and YLI is also investigated by autoclave experiments. Further analysis of the liquefaction oils reveals a strong correlation between the structure of each maceral and the composition of its corresponding liquefaction oil. This study provides theoretical and technical references for the green separation and utilization of macerals.

2. Materials and Methods

2.1. Preparation of Coal Samples

2.1.1. Preparation of Raw Coal

The Yili coal (Xinjiang, China), which is classified as long-flame coal, was used in this study. The raw coal was crushed by a crusher (SDHD 150t, Sundy, Changsha, China) and then dried in a vacuum oven at 80 °C for 12 h. The dried coal was subsequently ground to a particle size of <0.045 mm (designated as YLC). The maceral composition of YLC is analyzed by microscopy (MSS-2000, Ruike Technology Co., Ltd., Beijing, China) and is presented in Table 1. The mineral components were disregarded in the subsequent research due to their low content.

2.1.2. Separation of Inertinite by the Primary Crushing Method

The dried coal (Section 2.1.1) was screened according to the GB/T19093-2003 [22]. The maceral composition of coal with different particle sizes is presented in Table 2. As shown in Table 2, with particle size decreasing, the content of inertinite rises while the content of vitrinite and exinite diminishes. The content of inertinite reaches 83.08% in the coal with a particle size < 0.045 mm, which is designated as YLI.

2.1.3. Separation of Vitrinite by the Stepwise Crushing Method

The dried coal (Section 2.1.1) was ground by a grinder (SDPP 1002, Sundy, Changsha, China) in six steps, each for 10 s. The coal with a particle size > 0.074 mm was subjected to further grinding. The maceral composition of coal with different grinding times is detailed in Table 3. With the number of grinding times increased, the content of vitrinite and exinite increased progressively, while the content of inertinite decreased. After the fifth grinding, the coal sample achieves a particle size of <0.074 mm. Subsequently, the sample was sieved using a 0.045 mm mesh, revealing a vitrinite content of 80.80% in the fraction > 0.045 mm. To minimize the influence of particle size on DCL, the coal fraction > 0.045 mm obtained after the fifth grinding was subjected to a sixth grinding to <0.045 mm and then designated as YLV. YLC, YLI and YLV were desiccated in a vacuum oven at 80 °C for 24 h to minimize the influence of the moisture. The proximate and ultimate analyses of YLC, YLV and YLI are shown in Table 4.

2.2. Direct Coal Liquefaction Experiment

Experiments were conducted in a 100 mL autoclave (Tongda Reactor Factory, Dalian, China). YLC (daf, 6 g) and tetralin (THN, 24 g, Macklin, Shanghai, China) were added to the autoclave. The autoclave was purged with H2 three times and then pressurized to 7 MPa with H2. The autoclave was heated to 430 °C and maintained at this temperature for 40 min; it was then cooled to room temperature. The DCL experiments of YLI and YLV followed the same procedure as that of YLC. The gaseous products were collected and tested by gas chromatography (GC-2014C, SHIMADZU, Nakagyo-ku, Japan). The liquid–solid mixture was extracted using a Soxhlet apparatus with hexane (INBOTE, Tianjin, China) and tetrahydrofuran (INBOTE, Tianjin, China). Yields of oil product and asphaltene were calculated based on the initial mass of THN, coal ash, moisture content, the hexane soluble fractions and tetrahydrofuran soluble fractions. The calculation formulas are as follows:
Y R e   =   m ( R e )     m ( C a t ) m ( d a f )   × 100 %
Y A P = m ( A P ) m ( d a f ) × 100 %
Y Gas = P 0 + P 2 × V 0 V 1 × T 0 P 0 ×   T 2 ×   V m ×   m d a f × i R i U i 100 × 100 %
Y O i l = 1 Y R e Y A P Y Gas

3. Results

3.1. Structural Characteristics of Macerals from Yili Coal

3.1.1. FT-IR Spectrum

It is important to study the functional groups of different macerals to evaluate their properties in DCL [23]. Figure 1a illustrates the FT-IR (BRUKER VERTEX70, Bremen, Germany) spectra of YLC, YLV and YLI. As shown in Figure 1a, the peak at 2921 cm−1 associated with CH2- asymmetric stretching vibration in YLV exhibits the highest intensity. Conversely, the most prominent peak for YLI is the C-O-C stretching vibration peak of alkyl ether at 1039 cm−1. This indicates that YLV contains a greater abundance of aliphatic structures, while YLI is richer in alkyl ether structures. Then, the peaks at 3000–2800 cm−1 and 1800–1000 cm−1 [24,25,26,27] are fitted as shown in Figure 1b (OriginPro 2024b). Peak parameters are presented in Table 5. As shown in Table 5, the content of alcohol C-O, phenol C-O, CH2 and CH3 groups in YLV is the highest, while the content of these highly reactive functional groups in YLC and YLI is lower, which means the low reactivity of YLC and YLI in DCL. Additionally, the data in Table 5 indicate that the YLI exhibits the highest relative content of alkyl ether C-O-C, aromatic ether C-O, aromatic C=C, conjugated C=O and carboxyl C=O functional groups. The high content of aromatic C=C functional groups suggests that YLI contains more stable aromatic rings. A semi-quantitative analysis of aliphatic and aromatic functional groups is presented in Table 6. It reveals that YLV exhibits the highest content of aliphatic hydrocarbons, the longest aliphatic chains, and the highest aliphatic/aromatic ratio, indicating that more aliphatic and alkyl side chain structures are attached to the aromatic rings of YLV. Such structures are easily cleaved to generate radical fragments during DCL, which react with hydrogen donors to produce liquefied oil.

3.1.2. Raman Spectrum

As shown in Figure 2a–c, the defect peak (D peak) and the graphite peak (G peak) in YLC, YLV and YLI are displayed (Xplora Plus, HORIBA, Saint-Aubin-lès-Elbeuf, France), respectively. The D1 peak at 1368 cm−1 corresponds to the aromatic compounds with at least six rings [28], while the D3 peak at 1525 cm−1 relates to the amorphous structure of the mixed hybrids (sp2 or sp3) [29,30]. The D4 peak at 1237 cm−1 is associated with C-C stretching vibrations of aliphatic [31], and the G peak at 1597 cm−1 is caused by C=C bond vibration [32,33]. Table 7 details the D and G peak characteristics for YLC, YLV and YLI (OriginPro 2024b). Notably, YLV demonstrates the highest values for D3/G and D4/G, indicating a greater presence of amorphous structures and aliphatic carbon, which is consistent with the FT-IR results. Additionally, YLI exhibits the highest D1/G and lowest Dall/G radio, indicating the greatest degree of aromatic condensation, and contains more stable ordered aromatic rings.

3.1.3. 13C NMR Spectrum

The 13C NMR (600 MHz Bruker Avance III, Switzerland) analysis was conducted to investigate the carbon skeleton of YLC, YLV and YLI. The fitted curves for the 13C NMR spectrum of YLC, YLV and YLI are shown in Figure 3a–c (OriginPro 2024b), respectively. The fitting results are detailed in Table 8. Chemical shifts for aliphatic, aromatic and carbonyl carbons are 0–90 ppm, 90–165 ppm and 165–225 ppm, respectively [34,35,36,37,38]. It reveals that aromatic carbon predominates in the three coal samples (90–165 ppm). Meanwhile, YLV exhibits the highest content of aliphatic carbon, YLI exhibits the highest content of aromatic carbon and carbonyl carbon. A semi-quantitative analysis of the structural parameters for the coal samples was conducted by consolidating the data from Table 8, and the results are presented in Table 9. As shown in Table 9, the Cn and Cb values of YLV are the highest, indicating that the average lengths of the methylene aliphatic and bridge chains of YLV are the longest. Additionally, the σ-C value for YLV is the highest, but the σ-O value is the lowest. Compared to YLC and YLI, the more aromatic carbon is substituted by carbon in YLV, indicating that more aliphatic chain structures are on the aromatic rings of YLV, which is consistent with the FT-IR results. The Xb values for naphthalene and anthracene are 0.20 and 0.29 [39,40], respectively. The Xb values of YLC, YLV and YLI are 0.25, 0.24 and 0.26, implying that the aromatic clusters in the three coal samples consist of 2–3 aromatic rings, and the aromatic clusters of YLI are the largest.

3.2. Direct Coal Liquefaction

3.2.1. Results of DCL

Figure 4 illustrates the results of DCL for YLC, YLV and YLI, comprising the yield of liquefied oil, asphaltene, gas and residue. The yields of oil, asphaltene and gas for YLV are 40.4, 15.4 and 6.2 wt.%, respectively, which are higher than those for YLC and YLI. Conversely, the residue yield of YLI is significantly higher than YLC and YLV, reaching 47.0 wt.%.
During DCL, the highly reactive groups, such as alcohol C-O and aliphatic CH2, CH3 groups, preferentially decompose from the carbon skeleton to form free radicals. These radicals then combine with active hydrogen and low-molecular-weight radicals to produce liquefied oil and gas. In contrast, the stable functional groups, such as aromatic ether C-O, aromatic C=C and conjugated C=O resist free radical generation during DCL. Long aliphatic and bridge chains are easily cleaved to generate radical fragments during DCL, which react with hydrogen donors to produce liquefied oil. Moreover, the high-molecular-weight free radicals interact to form higher-molecular-weight residues, resulting in the higher liquefaction residue rate for coal.

3.2.2. Analysis of Liquefied Oil

The liquefied oils of YLC (OilYLC), YLV (OilYLV) and YLI (OilYLI) are classified into eight groups based on the group composition by GC-MS (Agilent, The United States) [41,42]. As shown in Figure 5, the composition distribution of OilYLC, OilYLV and OilYLI differs significantly; the content of aromatics in OilYLI is higher compared to OilYLC and OilYLV. Conversely, the content of alkanes in the OilYLV is higher than in OilYLC and OilYLI. OilYLI contains the highest content of esters and ketones, while OilYLV contains the highest content of phenols. Based on the analysis of FT-IR, Raman and 13C NMR, these distinct differences in the composition distribution of liquefied oil may correlate with the structural properties of YLC, YLV and YLI.

4. Discussion

The structures of the three coals are characterized using FT-IR, Raman and 13C NMR. The data show that YLV exhibits the highest content of highly reactive functional groups and aliphatic hydrocarbons, as well as the longest aliphatic and bridge chains. In contrast, YLI exhibits the highest content of aromatic carbon and the highest degree of aromatic condensation. The highly reactive functional groups preferentially decompose from the carbon skeleton to form free radicals, and long aliphatic and bridge chains are easily cleaved to generate additional free radicals. These free radicals then combine with hydrogen radicals to form liquefied oil. Therefore, the reactivity of the three coal samples follows YLV > YLC > YLI, and YLV generates free radicals more readily than YLC and YLI during DCL, resulting in the highest yields of oil, asphaltene and gas for YLV. Moreover, the high-molecular-weight free radicals are easily formed because YLI contains the largest aromatic cluster. These free radicals further interact to form higher-molecular-weight residues, resulting in the highest liquefaction residue rate for YLI.
Combined FT-IR and 13C NMR analyses indicate that YLI exhibits the highest content of aromatic carbon, resulting in a higher content of aromatics in the OilYLI compared to OilYLC and OilYLV. Conversely, the content of alkanes in the OilYLV is higher than in OilYLC and OilYLI, which is attributed to the highest content of aliphatic hydrocarbon and the longest aliphatic chain in YLV. Additionally, YLI contains higher contents of carbonyl groups and carbonyl carbon compared to YLC and YLV. In contrast, the YLV contains more phenolic hydroxyl groups compared to YLC and YLI. Consequently, OilYLI exhibits the highest content of esters and ketones, while OilYLV exhibits the highest content of phenols. The C-O bonds of alkyl ethers in coal are cleaved to form alcohols during DCL. The content of the alkyl ether group in YLI is higher compared to YLC and YLV, leading to a higher content of alcohols in the OilYLI than OilYLC and OilYLV. These results indicate that the structures of macerals affect the composition distribution of their liquefied oils.
The traditional screening method features simple operation and low restrictions on coal types [16]; however, due to the low content of individual macerals in the separation products, it is often used for the rough separation of coal. Nevertheless, by controlling the particle size and number of crushing cycles, the primary and stepwise crushing methods can increase the content of individual macerals. The advantage of isopycnic gradient centrifugation lies in its ability to achieve high-precision separation, with the content of a single maceral in the product capable of exceeding 90% [34]. Flotation can enable the large-scale separation of coal macerals [11]. However, a commonality between isopycnic gradient centrifugation and flotation is the requirement for water and chemical reagents, whereas the primary and stepwise crushing method does not. Meanwhile, the correlation between the composition of liquefied oil and the structure of macerals is explained, providing a reference for the separation and utilization of macerals based on structural characteristics.
Techno-Economic Analysis (TEA) is a method for assessing the economic feasibility of technology, focusing on costs and benefits. Life Cycle Assessment (LCA) is a method for assessing the environmental sustainability of technology, covering the entire process from resource extraction to disposal. The separation of macerals incurs additional equipment investment and operational costs, which can be quantitatively evaluated by TEA. Meanwhile, TEA can also evaluate the economic benefits derived from the utilization of separated macerals. Furthermore, TEA can determine the most economically efficient integrated process pathway by modeling and calculating the total investment, operational costs and product value under different scenarios, providing economic theoretical support for the industrialization of macerals separation and utilization. LCA can quantitatively and systematically evaluate factors such as the carbon emissions, energy consumption and environmental impact associated with maceral separation and utilization, thereby revealing the optimal environmental management strategy. The data obtained in this study, including the maceral content, oil yield, conversion rate and liquefied oil composition of YLV and YLI, can serve as partial data for TEA and LCA of the maceral separation and direct liquefaction processes. LCA and TEA serve as critical bridges linking fundamental research to industrial applications, enabling them to guide the separation and utilization of macerals in a direction that is both economically viable and environmentally sustainable, thus paving the way for future industrial implementation.

5. Conclusions

YLV with a vitrinite content of 80.80% is obtained through a stepwise crushing method, and YLI with an inertinite content of 83.08% is obtained through a primary crushing method. These processes can improve the separation degree of the screening method, which does not require water and chemical reagents.
YLV exhibits the highest content of highly reactive functional groups, featuring a relative aliphatic carbon content of 35.88%, as well as the longest aliphatic and bridging chains. These structural characteristics collectively contribute to a higher oil yield of YLV compared to YLC and YLI. In contrast, YLI exhibits an aromatic carbon relative content of 66.60%, accompanied by the highest degree of aromatic condensation. These structural characteristics collectively lead to a lower oil yield than YLC and YLV. Due to significant structural differences among various macerals, there is a strong correlation between the structure of each maceral and the composition of its liquefaction oil. These findings provide new insights for the high-value utilization of coal and the production of aromatic-rich oil.
Furthermore, the findings of this study provide partial foundational data to support the LCA and TEA. In future work, LCA and TEA should be employed to evaluate the environmental sustainability and economic feasibility.

Author Contributions

Writing—original draft preparation, Y.W.; writing—review and editing, X.L. and L.L.; visualization, X.Z.; funding acquisition, X.L. and L.L.; validation, X.Z. and T.L.; formal analysis, J.H. and Y.W.; data curation, Y.W., G.L. and Y.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Tianchi Talents Introduction Program of Xinjiang Uygur Autonomous Region (Youth Doctoral Program), the Major Science and Technology Project of Xinjiang Uygur Autonomous Region, China (2024A01009), and the “Tianshan Talents” Science and Technology Innovation Team of Xinjiang Uygur Autonomous Region (2024TSYCTD0002).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data will be made available on request.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Abbreviations

The following abbreviations are used in this manuscript:
YLCYili coal
YLIInertinite-rich concentrates of Yili coal
YLVVitrinite-rich concentrates of Yili coal
DCLDirect coal liquefaction
OilYLCThe liquefied oils of YLC
OilYLVThe liquefied oils of YLV
OilYLIThe liquefied oils of YLI
THNTetralin

References

  1. Mochida, I.; Okuma, O.; Yoon, S.H. Chemicals from direct coal liquefaction. Chem. Rev. 2014, 114, 1637–1672. [Google Scholar] [CrossRef]
  2. Li, X.; Hu, H.Q.; Jin, L.; Hu, S.X.; Wu, B. Approach for promoting liquid yield in direct liquefaction of Shenhua coal. Fuel Process. Technol. 2008, 89, 1090–1095. [Google Scholar] [CrossRef]
  3. Song, W.; Liu, P.G.; Chen, X.Y.; Wang, T.; He, C.R.; Hao, R.; Liu, K.Y. Research progress of catalysts for direct coal liquefaction. J. Energy Chem. 2025, 100, 481–497. [Google Scholar] [CrossRef]
  4. Mo, W.L.; Wang, Y.; Ma, Y.Y.; Peng, Y.J.; Fan, X.; Wu, Y.L.; Wei, X.Y. Direct liquefaction performance of sub-bituminous coal from Hefeng by solid super acids and pyrolysis kinetic analysis of the corresponding residue. J. Anal. Appl. Pyrolysis 2021, 159, 105181. [Google Scholar] [CrossRef]
  5. Chen, Z.X.; Wang, X.L.; Li, Y.Z.; Lu, Z.J.; Liu, B.L.; Cao, Y.L. In-situ impregnation of β-FeOOH on coal by solid-state reaction toward direct coal liquefaction. Catal. Commun. 2021, 159, 106345. [Google Scholar] [CrossRef]
  6. Alpana; Chand, S.; Mohapatra, S.; Mishra, V. An intelligent system to identify coal maceral groups using markov-fuzzy clustering approach. J. Intell. Fuzzy Syst. 2021, 41, 5701–5707. [Google Scholar] [CrossRef]
  7. Yu, J.C.; Lin, L.; Wang, Y.Z.; Liu, Z.Y.; Liu, Q.Y.; Shan, X.G.; Guo, H.L.; Gui, H.Z.; Shi, L. Structural characteristics of maceral components in exinite-rich coal and their interaction during the direct liquefaction. Fuel 2024, 368, 131670. [Google Scholar] [CrossRef]
  8. Jin, L.J.; Han, K.M.; Wang, J.Y.; Hu, H.Q. Direct liquefaction behaviors of Bulianta coal and its macerals. Fuel Process. Technol. 2014, 128, 232–237. [Google Scholar] [CrossRef]
  9. Liu, Z.; Zhou, J.S.; Zhou, L.T.; Li, B.H.; Wang, T.; Liu, H.Y. A review on mercury removal in chemical looping combustion of coal. Sep. Purif. Technol. 2024, 337, 126352. [Google Scholar] [CrossRef]
  10. Pickel, W.; Kus, J.; Flores, D.; Kalaitzidis, S.; Christanis, K.; Cardott, B.J.; Misz-Kennan, M.; Rodrigues, S.; Hentschel, A.; Hamor-Vido, M.; et al. Classification of liptinite—ICCP System 1994. Int. J. Coal Geol. 2017, 169, 40–61. [Google Scholar] [CrossRef]
  11. Jia, Y.; Zhang, Q.; Gao, Z.L.; Xin, Y.M.; Zhang, B.L.; Wang, Q.; Huang, W. Macro maceral separation of low-rank coal and the pyrolysis behavior of the maceral-rich fractions. Sep. Purif. Technol. 2025, 353, 128061. [Google Scholar]
  12. Peng, Z.Y.; Zhang, Q.; Li, L.; Han, C.; Liang, L.T.; Gao, Z.H.; Wang, D.; Xin, Y.M.; Huang, W. Insight into the influence of macerals on tar yield and components based on macro maceral separation of a tar-rich coal. Fuel 2026, 406, 137029. [Google Scholar] [CrossRef]
  13. Zhou, A.N.; Zhang, H.Q.; Li, Z.; Qu, J.Z.; Zhao, W.; Yang, Z.Y.; Zhao, S.Y. Advances in coal macerals separation and quality-based utilization of low-rank bituminous coal. Clean Coal Technol. 2022, 28, 1–22. [Google Scholar]
  14. Ma, H.; Bai, Y.H.; Men, X.Y.; Wang, Q.Y.; Song, X.D.; Lv, P.; Wang, J.F.; Lu, G.H.; Yu, G.S. Illustrating the effect of physicochemical properties within vitrinite and inertinite on residual carbon formation in drop tube furnace. Chem. Eng. Sci. 2024, 284, 119468. [Google Scholar] [CrossRef]
  15. Zhuo, Q.M.; Liu, W.L.; Wang, P.H.; Deng, J.S.; Xi, P.; Hua, Y.Z. Influence of flotation reagents on separation mechanism of macerals: A multi-scale study. Fuel 2023, 333, 126480. [Google Scholar] [CrossRef]
  16. Bhatta, R.; Dash, N. Influence of particle size on maceral and mineral distribution in Lower Gondwana coals of India. Arab. J. Geosci. 2023, 16, 188. [Google Scholar] [CrossRef]
  17. Men, D.P.; Zhang, L.; Liu, W.L. Liberation characteristics and separation of macerals for lower rank bituminous coal. J. China Coal Soc. 2015, 40, 479–485. [Google Scholar]
  18. Yan, S.; Mao, N.; Zhu, M.L.; Li, N.; Yan, W.W.; He, B.Y.; Cao, J.P.; Wu, Y.H.; Wu, J.B.; Zhang, H.; et al. Chemical bond dissociation insights into organic macerals pyrolysis of Qinghua bituminous coal: Vitrinite vs inertinite. Chem. Eng. Sci. 2024, 300, 120603. [Google Scholar] [CrossRef]
  19. Kuang, Y.C.; Xie, W.H.; Wu, H.Y.; Liu, X.Q.; Sher, F.; Qiu, S.X.; Dang, J.; Zhang, S.F. Molecular structure of coal macerals and thermal response behavior of their chemical bonds obtained by structural characterizations and molecular dynamics simulations. Energy 2024, 301, 131735. [Google Scholar] [CrossRef]
  20. Shu, G.P.; Zhang, Y.Z. Research on the maceral characteristics of Shenhua coal and efficient and directional direct coal liquefaction technology. Int. J. Coal Sci. Technol. 2014, 1, 46–55. [Google Scholar] [CrossRef]
  21. Lian, J.; Lin, H.L.; Xue, Y.; Sheng, H. Study on the structural differences between Heidaigou long flame coal and its vitrinite. Energy Sources Part A Recovery Util. Environ. Eff. 2018, 41, 78–85. [Google Scholar]
  22. GB/T 19093-2003; Methods of Fine Coal Size Analysis. China Standard Press: Beijing, China, 2003.
  23. Bin, L.; Zhang, W.; Xie, Z.H.; Chen, X.J.; Cui, Y. FTIR and XRD microscopic characterisation of coal samples with different degrees of metamorphism. J. Mol. Struct. 2024, 1309, 138270. [Google Scholar] [CrossRef]
  24. Yang, Z.; Huang, G.; Zheng, G.H.; Yang, C.H. Investigation on coal floatability and pore characteristics using acidification method. Sep. Purif. Technol. 2024, 330, 125398. [Google Scholar] [CrossRef]
  25. Zhao, Y.; Xing, C.; Shao, C.Y.; Chen, G.; Sun, S.Z.; Chen, G.; Zhang, L.; Pei, J.T.; Qiu, P.H.; Guo, S. Impacts of intrinsic alkali and alkaline earth metals on chemical structure of low-rank coal char: Semi-quantitative results based on FT-IR structure parameters. Fuel 2020, 278, 118229. [Google Scholar] [CrossRef]
  26. Jia, J.; Xing, Y.; Li, B.; Zhao, D.; Wu, Y.; Chen, Y.; Wang, D. Study on the Occurrence Difference of Functional Groups in Coals with Different Metamorphic Degrees. Molecules 2023, 28, 2264. [Google Scholar] [CrossRef]
  27. Wu, D.; Zhang, H.; Hu, G.; Zhang, W. Fine Characterization of the Macromolecular Structure of Huainan Coal Using XRD, FTIR, 13C-CP/MAS NMR, SEM, and AFM Techniques. Molecules 2020, 25, 2661. [Google Scholar] [CrossRef]
  28. Ren, L.; Gong, Y.; Wang, X.J.; Guo, Q.H.; Yu, G.S. Study on recovery of residual carbon from coal gasification fine slag and the influence of oxidation on its characteristics. Energy 2023, 279, 128099. [Google Scholar] [CrossRef]
  29. Baldelli, A.; Rogak, S.N. Morphology and Raman spectra of aerodynamically classified soot samples. Atmos. Meas. Tech. 2019, 12, 4339–4346. [Google Scholar] [CrossRef]
  30. Ferrari, A.C.; Robertson, J. Interpretation of Raman spectra of disordered and amorphous carbon. Phys. Rev. B 2000, 61, 14095. [Google Scholar] [CrossRef]
  31. Liu, X.C.; Yuan, L.; Zhong, M.L.; Ni, S.; Yang, F.; Fu, Z.B.; Xu, X.B.; Wang, C.Y.; Tang, Y.J. Enhanced capacitive performance by improving the graphitized structure in carbon aerogel microspheres. RSC Adv. 2020, 10, 22242–22249. [Google Scholar] [CrossRef]
  32. Guedes, A.; Valentim, B.; Prieto, A.C.; Noronha, F. Raman spectroscopy of coal macerals and fluidized bed char morphotypes. Fuel 2012, 97, 443–449. [Google Scholar] [CrossRef]
  33. Xu, J.; Liu, J.W.; Zhang, X.; Ling, P.; Xu, K.; He, L.; Su, S.; Wang, Y.; Hu, S.; Xiang, J. Chemical imaging of coal in micro-scale with Raman mapping technology. Fuel 2020, 264, 116826. [Google Scholar] [CrossRef]
  34. Wang, J.; Tian, L.; Li, G.; Zhao, X.; Liang, Y.; Yu, J. Construction of vitrinite molecular structures based on 13C NMR and FT-IR analysis: Fundamental insight into coal thermoplastic properties. Fuel 2021, 300, 120981. [Google Scholar] [CrossRef]
  35. Zhen, N.; Zhou, X.D.; Yin, X.L.; Liu, J.M.; Tang, Y.K.; Liu, T.; Liu, L. Different effect of H2 and H-donating solvent on aromatic formation during the direct coal liquefaction of Naomaohu coal. Fuel 2025, 397, 135416. [Google Scholar] [CrossRef]
  36. Feng, Z.; Bai, Z.Q.; Zheng, H.Y.; Zheng, K.W.; Hou, R.R.; Guo, Z.X.; Kong, L.X.; Bai, J.; Li, W. Study on the pyrolysis characteristic of mild liquefaction solid product of Hami coal and CO2 gasification of its char. Fuel 2019, 253, 1034–1041. [Google Scholar] [CrossRef]
  37. Xu, H.N.; Zhou, X.D.; Zhen, N.; Yin, X.L.; Liu, T.; Tang, Y.K.; Liu, J.M.; Liu, L.; Ma, F.Y. Comparative analysis of covalent bond cleavage and free radical behavior during the heating process in direct coal liquefaction of Naomaohu and Shangwan coals. Fuel Process. Technol. 2025, 275, 108255. [Google Scholar] [CrossRef]
  38. Zhu, B.; Dong, X.; Fan, Y.; Ma, X.; Yao, S.; Fu, Y.; Chen, R.; Chang, M. Structural Characterization and Molecular Model Construction of High-Ash Coal from Northern China. Molecules 2023, 28, 5593. [Google Scholar] [CrossRef]
  39. Yang, F.; Hou, Y.C.; Wu, W.Z.; Wang, Q.; Niu, M.G.; Ren, S.H. The relationship between benzene carboxylic acids from coal via selective oxidation and coal rank. Fuel Process. Technol. 2017, 160, 207–215. [Google Scholar] [CrossRef]
  40. Kun, X.Y.; Jun, J.L.; Yang, L.; Yang, Z.; Quan, H.H. Structural features and pyrolysis behaviors of extracts from microwave-assisted extraction of a low-rank coal with different solvents. Energy Fuels 2019, 33, 106–114. [Google Scholar]
  41. Chen, C.T.; Ma, J.; Tang, Y.K.; Li, X.H.; Liu, G.B.; Song, H.Y.; He, Y.L.; Tsubaki, N.; Liu, L.; Liu, T. Efficiently hydrogenolysis of aromatic ether C-O bonds in lignite and model compounds over carbon-coated NiCo bimetallic catalyst. Fuel 2025, 394, 135109. [Google Scholar] [CrossRef]
  42. Ming, Y.X.; Yong, W.X.; Bing, S.; Hua, W.Y.; Min, Z.Z.; Wu, L.Z. Solid superacid-catalyzed hydroconversion of an extraction residue from Lingwu bituminous coal. Int. J. Min. Sci. Technol. 2012, 22, 251–254. [Google Scholar] [CrossRef]
Figure 1. (a) FT-IR spectra of YLC, YLV and YLI; (b) the FT-IR fitting curves of YLC, YLV and YLI.
Figure 1. (a) FT-IR spectra of YLC, YLV and YLI; (b) the FT-IR fitting curves of YLC, YLV and YLI.
Molecules 31 00375 g001
Figure 2. (a) Raman peak fitting diagrams of YLC; (b) Raman peak fitting diagrams of YLV; (c) Raman peak fitting diagrams of YLI.
Figure 2. (a) Raman peak fitting diagrams of YLC; (b) Raman peak fitting diagrams of YLV; (c) Raman peak fitting diagrams of YLI.
Molecules 31 00375 g002
Figure 3. (a) 13C NMR peak fitting diagrams of YLC; (b) 13C NMR peak fitting diagrams of YLV; (c) 13C NMR peak fitting diagrams of YLI.
Figure 3. (a) 13C NMR peak fitting diagrams of YLC; (b) 13C NMR peak fitting diagrams of YLV; (c) 13C NMR peak fitting diagrams of YLI.
Molecules 31 00375 g003
Figure 4. Results of DCL for YLC, YLV and YLI.
Figure 4. Results of DCL for YLC, YLV and YLI.
Molecules 31 00375 g004
Figure 5. Liquefied oil composition for YLC, YLV and YLI.
Figure 5. Liquefied oil composition for YLC, YLV and YLI.
Molecules 31 00375 g005
Table 1. Maceral composition of YLC.
Table 1. Maceral composition of YLC.
SampleMaceral Content (V%)
ExiniteVitriniteInertiniteMineral
YLC0.9052.2046.900.00
Table 2. Maceral composition of Yili coal with different particle sizes.
Table 2. Maceral composition of Yili coal with different particle sizes.
Particle Sizes (mm)Maceral Content (V%)
ExiniteVitriniteInertinite
>0.51.2061.0037.80
0.5–0.250.8847.5651.56
0.25–0.1250.8538.3860.77
0.125–0.0740.5930.8768.54
0.074–0.0450.2324.8374.94
<0.0450.1916.7383.08
Table 3. Maceral composition of Yili coal with different grinding times.
Table 3. Maceral composition of Yili coal with different grinding times.
TimesParticle Sizes (mm)Maceral Content (V%)
ExiniteVitriniteInertinite
1>0.0741.0053.6045.40
2>0.0741.2356.9141.86
3>0.0741.2764.2534.48
4>0.0741.3873.3925.23
5>0.0451.4080.8017.80
Table 4. Proximate and ultimate analyses of different coal samples.
Table 4. Proximate and ultimate analyses of different coal samples.
Coal SamplesProximate Analysis (wt.%)Ultimate Analysis (daf, wt.%)
MadAdVdafCHNSO a
YLC1.133.7831.8277.434.121.130.1717.15
YLV1.233.6132.2376.454.181.150.2617.96
YLI0.804.0131.2077.144.061.140.1417.52
a: Obtained by the method of subtraction.
Table 5. Peak fitting of coal samples at 3000–2800 cm−1 and 1800–1000 cm−1.
Table 5. Peak fitting of coal samples at 3000–2800 cm−1 and 1800–1000 cm−1.
Peak NumberPeak Center
(cm−1)
Functional GroupsArea Percentage (%)
YLCYLVYLI
12947νasCH3- (aliphatic)22.4820.7223.62
22921νasCH2- (aliphatic)25.1626.4224.36
32897νR3CH (aliphatic)23.4724.5822.82
42873νsCH3- (aliphatic)6.034.486.91
52849νsCH2- (aliphatic)22.8623.8022.29
61713νC=O (carboxylic acid)3.202.943.29
71670νC=O8.007.878.16
81587νC=C (aromatic)32.8232.3733.34
91442δasCH2, CH315.8416.1715.46
101373δsCH2, CH37.718.057.37
111314νC-O (phenolic)7.767.957.43
121254νC-O (phenolic)10.5310.6810.40
131187νC-O (alcohol)8.749.148.42
141114νC-O (aromatic ethers)4.113.844.51
151039νC-O-C (alkyl ethers)1.290.991.62
Table 6. Semi-quantitative ratios derived from FTIR spectra.
Table 6. Semi-quantitative ratios derived from FTIR spectra.
Semi-Quantitative IndexCalculated Value
YLCYLVYLI
Aliphatic hydrocarbon content4.615.573.50
Chain length1.681.991.53
Relative aliphatic/aromatic ratio0.480.500.46
Aliphatic hydrocarbon content: (CH2 + CH3)/C=C = (A2947 + A2921 + A2873 + A2849)/A1587 × 100. Chain length: CH2/CH3 = (A2921 + A2849)/(A2947 + A2873). Relative aliphatic/aromatic ratio: (asymmetric CH2, CH3)/C=C = A1442/A1587.
Table 7. The Raman peak fitting parameters.
Table 7. The Raman peak fitting parameters.
SamplesD1 (%)D3 (%)D4 (%)G (%)D1/GD3/GD4/GDall/G
YLC31.2428.0718.9021.791.431.290.873.59
YLV28.7129.6421.0120.641.391.441.023.84
YLI33.1426.9217.4122.531.471.190.773.44
Table 8. Carbon structural parameters of coal.
Table 8. Carbon structural parameters of coal.
Peak NumberAssignmentsSymbolsChemical Shift (ppm)Area Percentage (%)
YLCYLVYLI
1R-CH3fal112.932.882.74 3.06
2Ar-CH3fala19.273.503.14 3.70
3RCH2CH3fal223.872.232.97 1.72
4-CH2-CH2-CH2-fal329.808.7210.68 6.17
5-CH-, -C-fal438.708.7110.32 7.83
6CH3OCH2-falO153.032.302.01 2.47
7-CH2OCH2-falO274.670.990.84 1.13
8RCH2OH,
>CHOH
falO389.202.613.18 2.05
Aliphaticfal 31.9435.88 28.13
9Molecules 31 00375 i001farH119.6728.8927.64 29.16
10Molecules 31 00375 i002farB128.2716.1014.77 17.56
11Molecules 31 00375 i003farS138.509.309.63 9.03
12Molecules 31 00375 i004farO152.839.678.72 10.85
Aromaticfar 63.9660.76 66.60
13-COOH, -COORfaC1174.673.072.47 3.79
14>C=O, -CHOfaC2200.001.030.89 1.48
C=OfaC 4.103.36 5.27
The red “C” in Table 8 corresponds to the carbon types of the peak numbers in Figure 3.
Table 9. Structural parameters of YLC, YLV and YLI.
Table 9. Structural parameters of YLC, YLV and YLI.
Structure
Parameters
Samples
YLCYLVYLI
Cn2.642.942.07
Cb2.783.572.09
σ-C (%)14.5415.8413.56
σ-O (%)15.1214.3516.29
Xb0.250.240.26
Cn: Average length of methylene chain, Cn = 7/5 (fal2 + fal3)/(farS − fala). Cb: Average length of bridge chain, Cb = 2 (fal3 + fal4 + falO2)/(farS − fala − fal2 + farO). σ-C: -C aromatic ring substitution degree, σ-C = (farS)/far. σ-O: -O aromatic ring substitution degree, σ-O = (farO)/far. Xb: Bridgehead carbon quantity, Xb = farB/far.
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Wang, Y.; Li, X.; Liu, L.; Zhou, X.; Liu, T.; Li, G.; Han, J.; Abudurgman, Y. Structural Characteristics and Direct Liquefaction Performance of Macerals in Yili Coal from Xinjiang. Molecules 2026, 31, 375. https://doi.org/10.3390/molecules31020375

AMA Style

Wang Y, Li X, Liu L, Zhou X, Liu T, Li G, Han J, Abudurgman Y. Structural Characteristics and Direct Liquefaction Performance of Macerals in Yili Coal from Xinjiang. Molecules. 2026; 31(2):375. https://doi.org/10.3390/molecules31020375

Chicago/Turabian Style

Wang, Yongpan, Xiaohui Li, Lang Liu, Xiaodong Zhou, Ting Liu, Guangjun Li, Jingxian Han, and Yourlani Abudurgman. 2026. "Structural Characteristics and Direct Liquefaction Performance of Macerals in Yili Coal from Xinjiang" Molecules 31, no. 2: 375. https://doi.org/10.3390/molecules31020375

APA Style

Wang, Y., Li, X., Liu, L., Zhou, X., Liu, T., Li, G., Han, J., & Abudurgman, Y. (2026). Structural Characteristics and Direct Liquefaction Performance of Macerals in Yili Coal from Xinjiang. Molecules, 31(2), 375. https://doi.org/10.3390/molecules31020375

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