纳米机械共振传感器自适应时间分辨质谱
Adaptive Time-Resolved Mass Spectrometry with Nanomechanical Resonant Sensors
摘要：
基于检测和跟踪由于感兴趣的事件引起的谐振频率偏差的纳米机械谐振传感器被提倡用于各种应用。目前使用的所有传感器方案都受到精度和速度之间的基本权衡的影响，同时人们对改进两者以实现前所未有的广泛应用非常感兴趣。基于对当前谐振式传感器结构特性的深入理解，我们提出了自适应和灵活的传感器方案。与最近提出的时间分辨机械检测方法不同，所提出的方案不需要对许多独立的相同刺激的谐振器响应进行整体平均。可以以高时间分辨率实时检测不同的一次性事件，其准确性随着时间的推移而显著提高。虽然所提出的自适应方案还需要遵守基本的速度与精度的权衡，我们表明，仍然有“一些空间在底部”的改进与传感器架构的创新。可以实现达到由基本热机械噪声施加的界限的帕累托最优性能。
英文摘要：
Nanomechanical resonant sensors that are based on detecting and tracking the resonance frequency deviations due to events of interest are being advocated for a variety of applications. All sensor schemes currently in use are subject to a basic trade-off between accuracy and speed, while there is great interest in improving both in order to enable unprecedented and widespread applications. Based on a thorough understanding of the characteristics of current resonant sensor architectures, we propose adaptive and flexible sensor schemes. Unlike recently proposed time-resolved mechanical detection methods, the proposed schemes do not require ensemble averaging of the resonator response for many independent identical stimuli. Distinct one-time events can be detected in real-time with high time resolution with an accuracy that then improves considerably with elapsed time. While the proposed adaptive schemes also need to abide by the fundamental speed versus accuracy trade-off, we show that there is still "some room at the bottom" for improvement with sensor architecture innovations. Pareto optimal performance that reaches a bound that is imposed by the fundamental thermomechanical noise can be achieved.
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