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首页> 外文期刊>Journal of occupational and environmental hygiene >Use of Raman spectroscopy to identify carbon nanotube contamination at an analytical balance workstation
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Use of Raman spectroscopy to identify carbon nanotube contamination at an analytical balance workstation

机译:使用拉曼光谱法在分析天平工作站上识别碳纳米管污染

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Carbon nanotubes (CNTs) are cylindrical molecules of carbon with diverse commercial applications. CNTs are also lightweight, easily airborne, and have been shown to be released during various phases of production and use. Therefore, as global CNT production increases, so do concerns that CNTs could pose a safety threat to those who are exposed to them. This makes it imperative to fully understand CNT release scenarios to make accurate risk assessments and to implement effective control measures. However, the current suite of direct-reading and off-line instrumentation used to monitor the release of CNTs in workplaces lack high chemical specificity, which complicates risk assessments when the sampling and/or measurements are performed at a single site where multiple CNT types are handled in the presence of naturally occurring background particles, or dust. Herein, we demonstrate the utility of Raman spectroscopy to unequivocally identify whether particulate matter collected from a multiuser analytical balance workstation comprised CNTs, as well as, whether the contamination included CNTs that were synthesized by a Ni/Y-catalyzed electric-arc method or a Co/Mo-catalyzed chemical vapor deposition method. Identifying the exact CNT type generated a more accurate risk assessment by knowing the metallic impurities involved, and it also led to the identification of the users who handled these CNTs, a review of their handling techniques, and an improved protocol for safely weighing CNTs.
机译:碳纳米管(CNTs)是具有多种商业用途的圆柱形碳分子。碳纳米管重量轻,易于空气传播,并且已证明在生产和使用的各个阶段都会释放。因此,随着全球CNT产量的增加,人们也越来越担心CNT可能对接触它们的人构成安全威胁。因此,必须全面了解CNT释放情况以进行准确的风险评估并实施有效的控制措施。但是,当前用于监视工作场所中CNT释放的直接读取和离线仪器套件缺乏很高的化学特异性,这使得在多种CNT类型存在的单一地点进行采样和/或测量时,风险评估变得复杂。在天然存在的背景粒子或灰尘的情况下进行处理。在此,我们证明了拉曼光谱法可以明确地确定从多用户分析天平工作站收集的颗粒物是否包含碳纳米管,以及污染物是否包括通过Ni / Y催化电弧法或碳纳米管合成的碳纳米管。 Co / Mo催化化学气相沉积方法。通过了解所涉及的金属杂质,确定确切的CNT类型可以进行更准确的风险评估,并且还可以识别处理这些CNT的用户,对其处理技术进行回顾,并提供改进的安全称重CNT协议。

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