Literature DB >> 30047271

Chemotaxis of Active Janus Nanoparticles.

Mihail N Popescu1, William E Uspal1,2, Clemens Bechinger3, Peer Fischer1,4.   

Abstract

While colloids and molecules in solution exhibit passive Brownian motion, particles that are partially covered with a catalyst, which promotes the transformation of a fuel dissolved in the solution, can actively move. These active Janus particles are known as "chemical nanomotors" or self-propelling "swimmers" and have been realized with a range of catalysts, sizes, and particle geometries. Because their active translation depends on the fuel concentration, one expects that active colloidal particles should also be able to swim toward a fuel source. Synthesizing and engineering nanoparticles with distinct chemotactic properties may enable important developments, such as particles that can autonomously swim along a pH gradient toward a tumor. Chemotaxis requires that the particles possess an active coupling of their orientation to a chemical gradient. In this Perspective we provide a simple, intuitive description of the underlying mechanisms for chemotaxis, as well as the means to analyze and classify active particles that can show positive or negative chemotaxis. The classification provides guidance for engineering a specific response and is a useful organizing framework for the quantitative analysis and modeling of chemotactic behaviors. Chemotaxis is emerging as an important focus area in the field of active colloids and promises a number of fascinating applications for nanoparticles and particle-based delivery.

Entities:  

Keywords:  Chemotaxis; chemically active particles; diffusion; nanoparticles; self-phoresis; targeted delivery

Year:  2018        PMID: 30047271     DOI: 10.1021/acs.nanolett.8b02572

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  8 in total

1.  ZnO-based micromotors fueled by CO2: the first example of self-reorientation-induced biomimetic chemotaxis.

Authors:  Fangzhi Mou; Qi Xie; Jianfeng Liu; Shengping Che; Lamya Bahmane; Ming You; Jianguo Guan
Journal:  Natl Sci Rev       Date:  2021-04-20       Impact factor: 17.275

2.  Chemokinesis-driven accumulation of active colloids in low-mobility regions of fuel gradients.

Authors:  Jeffrey L Moran; Philip M Wheat; Nathan A Marine; Jonathan D Posner
Journal:  Sci Rep       Date:  2021-02-26       Impact factor: 4.379

3.  Inferring non-equilibrium interactions from tracer response near confined active Janus particles.

Authors:  Jaideep Katuri; William E Uspal; Mihail N Popescu; Samuel Sánchez
Journal:  Sci Adv       Date:  2021-04-30       Impact factor: 14.136

4.  Engineering transient dynamics of artificial cells by stochastic distribution of enzymes.

Authors:  Shidong Song; Alexander F Mason; Richard A J Post; Marco De Corato; Rafael Mestre; N Amy Yewdall; Shoupeng Cao; Remco W van der Hofstad; Samuel Sanchez; Loai K E A Abdelmohsen; Jan C M van Hest
Journal:  Nat Commun       Date:  2021-11-25       Impact factor: 14.919

5.  A Platform for Stop-Flow Gradient Generation to Investigate Chemotaxis.

Authors:  Zuyao Xiao; Audrey Nsamela; Benjamin Garlan; Juliane Simmchen
Journal:  Angew Chem Int Ed Engl       Date:  2022-03-24       Impact factor: 16.823

6.  Confined Motion: Motility of Active Microparticles in Cell-Sized Lipid Vesicles.

Authors:  Shidong Song; Antoni Llopis-Lorente; Alexander F Mason; Loai K E A Abdelmohsen; Jan C M van Hest
Journal:  J Am Chem Soc       Date:  2022-07-22       Impact factor: 16.383

7.  Light- and magnetically actuated FePt microswimmers.

Authors:  Vincent Mauricio Kadiri; Jan-Philipp Günther; Sai Nikhilesh Kottapalli; Rahul Goyal; Florian Peter; Mariana Alarcón-Correa; Kwanghyo Son; Hannah-Noa Barad; Michael Börsch; Peer Fischer
Journal:  Eur Phys J E Soft Matter       Date:  2021-06-02       Impact factor: 1.890

8.  Thermotaxis of Janus particles.

Authors:  Sven Auschra; Andreas Bregulla; Klaus Kroy; Frank Cichos
Journal:  Eur Phys J E Soft Matter       Date:  2021-07-03       Impact factor: 1.890

  8 in total

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