表征环境中石油衍生污染物的先进分析技术

Syed Masroor Hassan Rizvi
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摘要

环境中石油衍生污染物的特征对于了解其对生态系统和人类健康的影响至关重要。气相色谱法 (GC)、质谱法 (MS) 和高效液相色谱法 (HPLC) 等传统分析技术在鉴定和量化这些污染物方面发挥了重要作用。然而,由于石油衍生化合物的复杂性和多样性,有必要开发和应用先进的分析技术来进行更全面的分析。本文综述了目前在环境分析中使用的最前沿方法,包括综合二维气相色谱法 (GC×GC)、傅立叶变换离子回旋共振质谱法 (FT-ICR MS)、核磁共振 (NMR) 光谱法和基于同步辐射的技术,如 X 射线吸收光谱法 (XAS) 和 X 射线荧光法 (XRF),以及激光诱导击穿光谱法 (LIBS)。本书讨论了每种技术的原理、功能和应用,重点介绍了它们在检测和表征碳氢化合物、多环芳烃 (PAH)、重金属和挥发性有机化合物 (VOC) 方面的作用。案例研究展示了这些先进技术在现实世界中的实际应用,如溢油分析和复杂污染物混合物的鉴定。考虑到灵敏度、选择性、复杂性和成本等因素,本文还探讨了这些先进技术的优势和局限性。最后,还探讨了未来的发展方向和新兴技术,包括纳米技术、生物传感器和机器学习,以了解它们在加强环境监测和修复工作方面的潜力。本综述强调了分析方法持续创新的重要性,以有效应对环境中石油衍生污染物带来的挑战。
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Advanced Analytical Techniques for Characterizing Petroleum-Derived Contaminants in the Environment
The characterization of petroleum-derived contaminants in the environment is crucial for understanding their impact on ecosystems and human health. Traditional analytical techniques such as Gas Chromatography (GC), Mass Spectrometry (MS), and High-Performance Liquid Chromatography (HPLC) have been instrumental in identifying and quantifying these contaminants. However, the complexity and diversity of petroleum-derived compounds necessitate the development and application of advanced analytical techniques for more comprehensive analysis. This paper reviews the most cutting-edge methods currently employed in environmental analysis, including Comprehensive Two-Dimensional Gas Chromatography (GC×GC), Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS), Nuclear Magnetic Resonance (NMR) Spectroscopy, and Synchrotron Radiation-Based Techniques such as X-ray Absorption Spectroscopy (XAS) and X-ray Fluorescence (XRF), as well as Laser-Induced Breakdown Spectroscopy (LIBS). Each technique's principles, capabilities, and applications are discussed, highlighting their roles in detecting and characterizing hydrocarbons, polycyclic aromatic hydrocarbons (PAHs), heavy metals, and volatile organic compounds (VOCs). Case studies demonstrate the practical applications of these advanced techniques in real-world scenarios, such as oil spill analysis and the identification of complex contaminant mixtures. The paper also addresses the advantages and limitations of these advanced techniques, considering factors like sensitivity, selectivity, complexity, and cost. Finally, future directions and emerging technologies, including nanotechnology, biosensors, and machine learning, are explored for their potential to enhance environmental monitoring and remediation efforts. This comprehensive review underscores the importance of continued innovation in analytical methods to effectively address the challenges posed by petroleum-derived contaminants in the environment.
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