journal article·2021-04

3D distributed modeling of trolling-mode AFM during 2D manipulation of a spherical cell

Seyede Zahra Mohammadi, Hossein Nejat Pishkenari, Majid Mohammadi Moghaddam

Journal of Nanoparticle Research· Volume 23· Issue 4
Publisher page

Abstract

In this study, a general 3D distributed modeling of Trolling-Mode AFM (TR-AFM) as a nanorobot is presented to analyze the 2D manipulation process of a spherical cell. To this aim, the analysis is categorized into 3 sections. In the first section, 6 deformations of TR-AFM are taken into account, and the standard model of the system is obtained. Moreover, the system is simulated in ANSYS Workbench. The results of modal and transient analyses of the system from both analytical and software methods reveal high agreement, which confirms the accuracy of the presented analytical model. In the second section, by utilizing the 3D derived model, displacement of a spherical yeast single cell (W303) with 2 µm radius is simulated, and the result is verified with that of experiment. It is demonstrated that lateral manipulation requires less force and time in comparison to longitudinal one. In the last section, stress analysis is accomplished in ANSYS for TR-AFM to assure that the designed system withstands the created stresses with a good factor of safety. As a result, an optimized TR-AFM is proposed and analyzed from dynamic and stress points of view. Moreover, 3D simulation of the 2D manipulation process is done successfully, and the result has shown well matching with those of experiment and another similar simulation, confirming the applicability of the proposed system. Through this detailed investigation, an optimized TR-AFM is recommended to substitute the classic AFMs in manipulation of cells, due to its smaller inserted force to the fragile and sensitive bio-samples.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Cellular Mechanics and Interactions · Force Microscopy Techniques and Applications · Microfluidic and Bio-sensing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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