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迈向一种用于测定碳纳米管中金属杂质的超灵敏方法。

Towards an ultrasensitive method for the determination of metal impurities in carbon nanotubes.

作者信息

Kolodiazhnyi Taras, Pumera Martin

机构信息

International Center for Young Scientists National Institute for Materials Science 1-1 Namiki, Tsukuba, 305-0044 (Japan).

出版信息

Small. 2008 Sep;4(9):1476-84. doi: 10.1002/smll.200800125.

Abstract

Residual catalyst metal nanoparticles remain one of the major obstructions in the utilization of carbon nanotubes (CNTs) in many areas owing to their ability to participate in redox chemistry of biomarkers. Presented here is a comparative study of several techniques for quality control of carbon nanotubes in terms of metallic impurities, namely magnetic susceptibility, electron paramagnetic resonance, energy-dispersive X-ray spectrometry, X-ray photoelectron spectroscopy, and thermogravimetric analysis. It is found that the dc magnetic susceptibility is the most sensitive method such that the difference between two CNT samples that underwent slightly different treatments can be detected, whereas the two samples are indistinguishable by other techniques. Therefore, it is suggested that the most accurate statistical method for quality control of carbon nanotubes is dc magnetic susceptibility, which allows the detection of traces of magnetic metal impurities embedded in purified carbon nanotubes, whereas other methods may provide false "impurity-free" information.

摘要

由于残留的催化剂金属纳米颗粒能够参与生物标志物的氧化还原化学反应,它们仍然是碳纳米管(CNT)在许多领域应用中的主要障碍之一。本文介绍了几种针对碳纳米管金属杂质进行质量控制的技术的比较研究,即磁化率、电子顺磁共振、能量色散X射线光谱法、X射线光电子能谱法和热重分析。研究发现,直流磁化率是最灵敏的方法,能够检测出经过略有不同处理的两个碳纳米管样品之间的差异,而其他技术无法区分这两个样品。因此,建议用于碳纳米管质量控制的最准确统计方法是直流磁化率,它能够检测出纯化碳纳米管中嵌入的微量磁性金属杂质,而其他方法可能会提供错误的“无杂质”信息。

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