首页> 外文期刊>Materials & design >Reporting the sensitivities and resolutions of CNT-based resonators for mass sensing
【24h】

Reporting the sensitivities and resolutions of CNT-based resonators for mass sensing

机译:报告用于质量传感的基于CNT的谐振器的灵敏度和分辨率

获取原文
获取原文并翻译 | 示例
           

摘要

The attitude of the science of mass sensors is to design highly mass sensitive nano-devices along with nano-devices that can operate at distinct sensitivity and resolution levels. Because they can achieve very high frequency shifts when very small masses are added to their surfaces, carbon nanotubes (CNTs) are considered as the most promising material candidate that can be used in designing mass sensors. To design and recommend a CNT for specific sensitivity and resolution levels, experimental trials are usually utilized. This motivated us to report the sensitivities and resolutions of CNTs-based resonators for mass sensing applications. An accurate mathematical model is proposed with considering the atomic packing and the lattice dynamics of CNTs. In the context of this model, the elastic properties of CNTs are obtained accounting for their phonon dispersions. The derived model is then used to report the sensitivities and resolutions of CNTs as functions of the CNT length and diameter. Recommended dimensions for CNTs with resolutions equal to the atomic mass of elements including B, Ca, C, Cr, Li, Mg, Si, Ti, and Zr are also determined. The performed analyses provide the necessary guidelines to design efficient mass sensors and mechanical mass spectrometers with different sensitivity and resolution levels. (C) 2016 Elsevier Ltd. All rights reserved.
机译:质量传感器科学的态度是设计高度质量敏感的纳米设备以及可以在不同的灵敏度和分辨率水平下运行的纳米设备。因为当将非常小的质量添加到其表面时它们可以实现非常高的频移,所以碳纳米管(CNT)被认为是可用于设计质量传感器的最有希望的材料候选者。为了针对特定的灵敏度和分辨率水平设计并推荐CNT,通常会使用实验性试验。这促使我们报告了用于质量传感应用的基于CNTs的谐振器的灵敏度和分辨率。考虑碳纳米管的原子堆积和晶格动力学,提出了一个精确的数学模型。在此模型的背景下,考虑到其声子色散,获得了CNT的弹性性能。然后使用导出的模型报告CNT的灵敏度和分辨率,该灵敏度和分辨率是CNT长度和直径的函数。还确定了分辨率等于元素原子质量(包括B,Ca,C,Cr,Li,Mg,Si,Ti和Zr)的CNT的推荐尺寸。进行的分析为设计具有不同灵敏度和分辨率级别的高效质量传感器和机械质谱仪提供了必要的指导。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号