Non-destructive spectroscopy assisted by machine learning for coal industrial analysis: Strategies, progress, and future prospects

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry Pub Date : 2025-05-29 DOI:10.1016/j.trac.2025.118322

Yu Liu, Yu-Peng Xu, Pu Chen, Jing-Yan Li, Dan Liu, Xiao-Li Chu

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Abstract

Coal plays an irreplaceable role in the global energy system. With growing energy demand and environmental concerns, rapid and accurate coal quality analysis is essential. This review summarizes recent advances in applying machine learning-assisted spectroscopic techniques—including mid-infrared (MIR)spectroscopy, near-infrared (NIR)spectroscopy, terahertz (THz)spectroscopy, X-ray fluorescence (XRF)spectroscopy, laser-induced breakdown spectroscopy (LIBS), and spectral fusion—for coal identification, quality evaluation, and real-time monitoring. Special emphasis is placed on LIBS instrumentation, modeling strategies, and industrial applications. Key challenges such as matrix effects and signal instability are discussed, along with solutions involving hardware improvements, optimized conditions, and data processing. The review also highlights future trends and the commercialization potential of these technologies, especially spectral fusion, aiming to support efficient and clean coal utilization.

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煤炭工业分析的机器学习辅助无损光谱学：策略、进展和未来展望

煤炭在全球能源体系中发挥着不可替代的作用。随着能源需求和环境问题的日益增长，快速准确的煤质分析至关重要。本文综述了应用机器学习辅助光谱技术的最新进展，包括中红外（MIR）光谱、近红外（NIR）光谱、太赫兹（THz）光谱、x射线荧光（XRF）光谱、激光诱导击光光谱（LIBS）和光谱融合，用于煤炭鉴定、质量评估和实时监测。特别强调LIBS仪器，建模策略和工业应用。讨论了矩阵效应和信号不稳定性等关键挑战，以及涉及硬件改进、优化条件和数据处理的解决方案。该审查还强调了这些技术的未来趋势和商业化潜力，特别是光谱融合，旨在支持高效和清洁的煤炭利用。

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来源期刊

Trends in Analytical Chemistry 化学-分析化学

CiteScore

20.00

自引率

4.60%

发文量

257

审稿时长

3.4 months

期刊介绍： TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.