scholarly journals Modeling the Electrostatic Actuation of Nanomechanical Pillar Dimers

2021 ◽  
Vol 6 ◽  
Author(s):  
Andreas Kainz ◽  
Roman Beigelbeck ◽  
Silvan Schmid

With their unparalleled mass sensitivity, enabling single-molecule mass spectrometry, nanomechanical resonators have the potential to considerably improve existing sensor technology. Vertical pillar resonators are a promising alternative to the existing lateral resonator designs. However, one major obstacle still stands in the way of their practical use: The efficient transduction (actuation & detection) of the vibrational motion of such tiny structures, even more so when large arrays of such nanopillars need to be driven. While electrostatic forces are typically weak and, on the nanoscale even weaker when compared to a cantilever-like stiffness, it is worth revisiting the possibility of electrostatic actuation of nanomechanical pillars and other nanomechanical structures. In this paper, these forces produced by an external field are studied both analytically and numerically, and their dependencies on the geometric dimensions are discussed. Furthermore, the expected deflections for different configurations of pillar geometries are calculated and compared.

2007 ◽  
Vol 104 (20) ◽  
pp. 8207-8211 ◽  
Author(s):  
J. W. F. Robertson ◽  
C. G. Rodrigues ◽  
V. M. Stanford ◽  
K. A. Rubinson ◽  
O. V. Krasilnikov ◽  
...  

2021 ◽  
Vol 11 (22) ◽  
pp. 11038
Author(s):  
Yudai Tsuji ◽  
Shinichi Yamaguchi ◽  
Tomoyuki Nakamura ◽  
Masaya Ikegawa

Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) is increasingly used in a broad range of research due to its ability to visualize the spatial distribution of metabolites in vivo. Here, we have developed a method, named thoracic Mass Spectrometry Imaging (tMSI), as a standard protocol of molecular imaging of whole-animal sectioning in various settings of mice in vivo. Further application of the strategy that involved the systemic administration of dexamethasone (DEX) in mice, enabled a dynamic shift in the energy status of multiple thoracic organs to be visualized, based on tMSI data of purine and pyrimidine metabolites. Furthermore, with the introduction of uniform manifold approximation and projection (UMAP) for tMSI data, metabolic profiles normally localized in the cortex and cortico-medullary junction (CMJ) of the thymus were drastically shifted as minor profiles into the medulla of DEX-treated thymus. As a massive apoptotic cell death in the thymic cortex was noticeable, a single molecule, which was upregulated in the cortex of the thymus, enabled us to predict ongoing immunosuppression by in vivo DEX-administration.


1999 ◽  
Author(s):  
J.-L. Andrew Yeh ◽  
Norman C. Tien ◽  
Chung-Yuen Hui

Abstract A model for the electrostatic forces generated by an asymmetric combdrive has been developed. Using complex variable techniques, an analytical solution to out-of-plane electrostatic actuation is obtained in closed form. The peak force depends on the thickness of the movable fingers and the amount of overlap between the combs. In addition, the in-plane actuation of an in-plane interdigitated combdrive can also be interpreted using our solution. For an in-plane combdrive, the critical engagement length of the combs, which is required for generating a constant force with variation within 1%, is a factor of 1.24 times the separation gap.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1029 ◽  
Author(s):  
Thomas Kundinger ◽  
Nikoletta Sofra ◽  
Andreas Riener

Drowsy driving imposes a high safety risk. Current systems often use driving behavior parameters for driver drowsiness detection. The continuous driving automation reduces the availability of these parameters, therefore reducing the scope of such methods. Especially, techniques that include physiological measurements seem to be a promising alternative. However, in a dynamic environment such as driving, only non- or minimal intrusive methods are accepted, and vibrations from the roadbed could lead to degraded sensor technology. This work contributes to driver drowsiness detection with a machine learning approach applied solely to physiological data collected from a non-intrusive retrofittable system in the form of a wrist-worn wearable sensor. To check accuracy and feasibility, results are compared with reference data from a medical-grade ECG device. A user study with 30 participants in a high-fidelity driving simulator was conducted. Several machine learning algorithms for binary classification were applied in user-dependent and independent tests. Results provide evidence that the non-intrusive setting achieves a similar accuracy as compared to the medical-grade device, and high accuracies (>92%) could be achieved, especially in a user-dependent scenario. The proposed approach offers new possibilities for human–machine interaction in a car and especially for driver state monitoring in the field of automated driving.


ACS Sensors ◽  
2020 ◽  
Vol 5 (7) ◽  
pp. 2128-2135
Author(s):  
Ivo Stachiv ◽  
Lifeng Gan ◽  
Chih-Yun Kuo ◽  
Petr Šittner ◽  
Oldřich Ševeček

2010 ◽  
Vol 107 (27) ◽  
pp. 12080-12085 ◽  
Author(s):  
J. E. Reiner ◽  
J. J. Kasianowicz ◽  
B. J. Nablo ◽  
J. W. F. Robertson

2018 ◽  
Vol 373 (1749) ◽  
pp. 20170176 ◽  
Author(s):  
Ranit Gruber ◽  
Amnon Horovitz

Advances in native mass spectrometry and single-molecule techniques have made it possible in recent years to determine the values of successive ligand binding constants for large multi-subunit proteins. Given these values, it is possible to distinguish between different allosteric mechanisms and, thus, obtain insights into how various bio-molecular machines work. Here, we describe for ring-shaped homo-oligomers, in particular, how the relationship between the values of successive ligand binding constants is diagnostic for concerted, sequential and probabilistic allosteric mechanisms. This article is part of a discussion meeting issue ‘Allostery and molecular machines’.


2014 ◽  
Vol 86 (22) ◽  
pp. 11077-11085 ◽  
Author(s):  
Christopher E. Angevine ◽  
Amy E. Chavis ◽  
Nuwan Kothalawala ◽  
Amala Dass ◽  
Joseph E. Reiner

2020 ◽  
Author(s):  
Deepti Karandur ◽  
Moitrayee Bhattacharyya ◽  
Beryl Xia ◽  
Young Kwang Lee ◽  
Serena Muratcioglu ◽  
...  

AbstractCa2+/calmodulin dependent protein kinase II (CaMKII) is a dodecameric or tetradecameric enzyme with crucial roles in neuronal signaling and cardiac function. Activation of CaMKII is reported to trigger the exchange of subunits between holoenzymes, which can increase spread of the active state. Using mass spectrometry, we now show that peptides derived from the sequence of the CaMKII-α regulatory segment can bind to the CaMKII-α hub assembly and break it into smaller oligomers. Molecular dynamics simulations show that the regulatory segments can dock spontaneously at the interface between hub subunits, trapping large fluctuations in hub structure. Single-molecule fluorescence intensity analysis of human CaMKII-α isolated from mammalian cells shows that activation of CaMKII-α results in the destabilization of the holoenzyme. Our results show how the release of the regulatory segment by activation and phosphorylation could allow it to destabilize the hub, producing smaller CaMKII assemblies that can reassemble to form new holoenzymes.


Sign in / Sign up

Export Citation Format

Share Document