Bacterial biohybrid microswimmers

55Citations
Citations of this article
119Readers
Mendeley users who have this article in their library.

Abstract

Over millions of years, Nature has optimized the motion of biological systems at the micro and nanoscales. Motor proteins to motile single cells have managed to overcome Brownian motion and solve several challenges that arise at low Reynolds numbers. In this review, we will briefly describe naturally motile systems and their strategies to move, starting with a general introduction that surveys a broad range of developments, followed by an overview about the physical laws and parameters that govern and limit motion at the microscale. We characterize some of the classes of biological microswimmers that have arisen in the course of evolution, as well as the hybrid structures that have been constructed based on these, ranging from Montemagno's ATPase motor to the SpermBot. Thereafter, we maintain our focus on bacteria and their biohybrids. We introduce the inherent properties of bacteria as a natural microswimmer and explain the different principles bacteria use for their motion. We then elucidate different strategies that have been employed for the coupling of a variety of artificial microobjects to the bacterial surface, and evaluate the different effects the coupled objects have on the motion of the "biohybrid." Concluding, we give a short overview and a realistic evaluation of proposed applications in the field.

References Powered by Scopus

Get full text

This article is free to access.

Life at low Reynolds number

3348Citations
3184Readers
Get full text

Cited by Powered by Scopus

200Citations
226Readers
Get full text
96Citations
190Readers

This article is free to access.

Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Bastos-Arrieta, J., Revilla-Guarinos, A., Uspal, W. E., & Simmchen, J. (2018, August 1). Bacterial biohybrid microswimmers. Frontiers Robotics AI. Frontiers Media S.A. https://doi.org/10.3389/frobt.2018.00097

Readers over time

‘18‘19‘20‘21‘22‘23‘24‘2509182736

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 54

72%

Researcher 13

17%

Lecturer / Post doc 6

8%

Professor / Associate Prof. 2

3%

Readers' Discipline

Tooltip

Engineering 19

32%

Biochemistry, Genetics and Molecular Bi... 16

27%

Physics and Astronomy 14

23%

Chemistry 11

18%

Article Metrics

Tooltip
Mentions
News Mentions: 1
References: 6
Social Media
Shares, Likes & Comments: 1

Save time finding and organizing research with Mendeley

Sign up for free
0