Terahertz Spectroscopic Study of Standard Substances for Bituminous Coal and Anthracite
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Keywords

Coal
Terahertz spectroscopy
Optical parameters
Principal component analysis

DOI

10.26689/jera.v8i3.7188

Submitted : 2024-05-21
Accepted : 2024-06-05
Published : 2024-06-20

Abstract

This study underscores the significance of online monitoring of standard substances for bituminous coal and anthracite, two commonly used fossil fuels. Terahertz technology emerges as a powerful non-destructive detection method capable of revealing the physical and chemical properties of measured objects. In this research, terahertz time-domain spectroscopy technology was employed to investigate the spectral characteristics of four distinct types of bituminous coal and anthracite samples. The refractive index and absorption coefficient spectra of these samples were calculated across a frequency range of 0.5 THz to 2.5 THz. Furthermore, principal component analysis was conducted using all refractive index and absorption coefficient data within this frequency band. Through the analysis and comparison with known parameters of coal standard materials, it was established that carbon content primarily influences the refractive index of bituminous coal and anthracite, while ash content predominantly affects the absorption effect. These findings underscore the potential of terahertz spectroscopy in conjunction with principal component analysis to qualitatively assess the similarities and differences between coal samples, thus offering novel insights for the online monitoring of diverse coal types and qualities.

References

Yuan L, Zhang P, 2019, Development Status and Prospect of Geological Guarantee Technology for Precise Coal Mining. Journal of China Coal Society, 44(8): 2277–2284?

Cheng A, 2020, Coal Resource Security Level and Green Exploration, Exploitation Approaches in China. Coal Geology of China, 32(01): 5–10.

Chen F, Yu H, Bian Z, et al., 2021, How to Handle the Crisis of Coal Industry in China Under the Vision of Carbon Neutrality. Journal of China Coal Society, 46(6): 1808–1820.

Zhang S, Guo C, Zhou Z, et al., 2024, Emission Reduction and Economic Cost of Carbon Neutrality Policy in Major Coal-Producing Provinces in China. Coal Economic Research, 44(01): 6–13.

Wang Q, Mu D, Zhou T, et al., 2021, Terahertz Nondestructive Test of Delamination Defects in Glass-Fiber-Reinforced Composite Materials. Acta Optica Sinica, 41(17): 90–98.

Jiang X, Xu Y, 2022, Nondestructive Testing of Corrosion Thickness of Steel Plates Under Coatings by Terahertz Time-Domain Spectroscopy. Acta Optica Sinica, 42(13): 76–83.

Jin Y, Zhu F, Feng J, 2023, Review of Nondestructive Testing of Composites Based on THz Technology. Journal of Terahertz Science and Electronic Information Technology, 21(11): 1295–1305.

Sun X, Tian M, Liu C, et al., 2023, Nondestructive Testing of Germinated Sunflower Seeds Based on THz Imaging Technology. Food Science and Technology, 48(02): 296–302.

Yang S, Zou J, Zhang C, 2016, Application of Terahertz Spectroscopy in the Detection of Chinese Medicine Processed Drugs of Rhubarb. Spectroscopy and Spectral Analysis, 36(12): 3870–3874?

Wang J, Zhang Z, Yang Y, et al., 2017, Identification of Rhubarb Samples by Terahertz Time Domain Spectroscopy Combined with Principal Component Analysis: Linear Discriminant Analysis and Support Vector Machine. Spectroscopy and Spectral Analysis, 37(05): 1606–1611.

Cao E, Yu Y, Song C, et al., 2021, Method of Food and Drug Detection Under Shielding of Common Wrappings Based on Terahertz Time Domain Spectroscopy. Laser & Optoelectronics Progress, 58(01): 172–180.

Teng X, Zhao K, Zhao H, et al., 2011, Analysis of Time-Resolved Terahertz Spectroscopy of Ash Contents and Carbon Contents of Coal. Modern Scientific Instruments, 2011(06): 19–21.

Xu C, Teng X, Zhao H, et al., 2013, Analysis of Hydrogen and Volatile Matter Content in Coal Maceral Using Time-Resolved Terahertz Spectroscopy. Modern Scientific Instruments?2013(04): 228–230.

Zhan H, Zhao K, Xiao L, 2015, Spectral Characterization of the Key Parameters and Elements in Coal Using Terahertz Spectroscopy. Energy, 93: 1140–1145.

Wang X, Zhao D, Hu K, et al., 2018, Study on Terahertz Spectrum Characteristics of Bituminous Coal. Journal of China Coal Society, 43(04): 1146–1154.

Dorney TD, Baraniuk RG, Mittleman DM, 2001, Material Parameter Estimation with Terahertz Time-domain Spectroscopy. JOSA A, 18(7): 1562–1571.

Wang X, Zhao D, Ding E, 2018, Coal-rock Identification Method Based on Terahertz Spectroscopy Technology. Coal Mining Technology 23(01): 13–17 + 91.

Wang D, Zhang Y, Han J, et al., 2021, Quantification of Triglyceride Levels in Fresh Human Blood by Terahertz Time-Domain Spectroscopy. Scientific Reports, 11(1): 13209.

Sun T, 2019, Principal Component Analysis in Statistical Regression Models. Telecom World, 26(03): 169–170.

Esteki M, Memarbashi N, Simal-Gandara J, 2023, Classification and Authentication of Tea According to Their Harvest Season Based on FT-IR Fingerprinting Using Pattern Recognition Methods. Journal of Food Composition and Analysis 115: 104995.