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Monitoring Method for Carbon Nanotubes (CNT): Personal Sampler and Corresponding Reading Device

机译:碳纳米管(CNT)的监测方法:个人采样器和相应的阅读装置

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At present, CNT and other nanofiber materials in air can only be detected by deposition on a substrate and the use of off-line imaging analysis such as scanning electron microscopy. The majority of techniques suitable for the quasi-real-time measurement of engineered nanoparticles such as electrical low pressure impactor, condensation particle counter, optionally combined with a scanning mobility particle sizer (SMPS) can not distinguish between nanoparticles in general and airborne nanofibres in particular. In common workplace settings the considerable background of fine and ultrafine particles thus poses a challenge for these instruments. Furthermore, a true portability of the present devices is not given due to their size and power consumption. However, there is an urgent need due to the expected toxicity of nanofibres to control workplace environments with a robust and mobile device to ensure the safety of the working personnel as soon as possible. To meet these challenges, a suitable personal sampler together with a corresponding reading device is under development in the NANODEVICE-project, funded by the European Commission under grant agreement FP7-211464-2. A pre-prototype personal sampler for CNT sampling, the used Raman-spectroscopic inspection of deposited CNTs and a possible approach in determining the qualitative presence of CNTs will be shown. Additionally, it seems even possible to distinguish between carbon nanofibers from different manufacturers based on Raman spectroscopy and data analysis.
机译:目前,只能通过沉积在基板上检测空气中的CNT和其他纳米纤维材料,并使用诸如扫描电子显微镜的离线成像分析。大多数诸如电低压冲击器,冷凝粒子计数器,任选地与扫描迁移率粒径仪(SMPS)合并的适合工程改造的纳米颗粒的准实时测量技术不能在一般的纳米粒子,特别是空气中的纳米纤维之间进行区分。在常见的工作场所设置中,精细和超细颗粒的相当大的背景是对这些仪器构成挑战。此外,由于其尺寸和功耗,不给出本设备的真正便携性。然而,由于纳米纤维的预期毒性控制工作场所环境,迫切需要迫切需要,以稳健和移动设备控制工作人员的安全性。为满足这些挑战,合适的个人采样器与相应的阅读设备一起在纳米委员会(欧洲委员会)根据“委员会协定”财政FP7-211464-2下资助。用于CNT采样的预原型个人采样器,将显示沉积的CNT的使用拉曼光谱检测和确定CNT的定性存在的可能方法。另外,甚至可以基于拉曼光谱和数据分析来区分来自不同制造商的碳纳米纤维。

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