Zhang Jingjing, Huang Haochong, Zhao Pengbo, Xu Luyong, Tan Zhenbo, Zhao Jinyuan, Yuan Enhui, Zheng Zhiyuan, Li Shanshan, Li Xinyu, Qiu Kunfeng
School of Science, China University of Geosciences (Beijing), Beijing 100083, China.
School of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China.
Molecules. 2024 Jan 30;29(3):648. doi: 10.3390/molecules29030648.
Accurate identification and understanding of various metallic minerals are crucial for deciphering geological formations, structures, and ages. Giving their pivotal role as essential natural resources, a microscopic exploration of metallic minerals becomes imperative. Traditional analytical methods, while helpful, exhibit certain limitations. However, terahertz time-domain spectroscopy, distinguished by its high signal-to-noise ratio, expansive frequency band, and low incident wave energy, is a promising complement to conventional techniques in characterizing metallic minerals. This study employs terahertz time-domain spectroscopy to examine samples of Stibnite, Sphalerite, Galena, and Pyrite originating from diverse geological conditions. The vibrations of molecules within these metallic minerals induce discernible changes in the terahertz spectra. Our findings untiate the extensive potential of terahertz time-domain spectroscopy in the characterization of metallic minerals, affirming its considerable practical value in mineral resource exploration.
准确识别和理解各种金属矿物对于解读地质构造、结构和年代至关重要。鉴于它们作为重要自然资源的关键作用,对金属矿物进行微观探索势在必行。传统分析方法虽有帮助,但存在一定局限性。然而,太赫兹时域光谱以其高信噪比、宽频带和低入射波能量而著称,在表征金属矿物方面是传统技术的一种有前景的补充。本研究采用太赫兹时域光谱对来自不同地质条件的辉锑矿、闪锌矿、方铅矿和黄铁矿样本进行检测。这些金属矿物内部分子的振动在太赫兹光谱中引起了可辨别的变化。我们的研究结果揭示了太赫兹时域光谱在表征金属矿物方面的巨大潜力,证实了其在矿产资源勘探中的重要实用价值。