Molecular and colloidal ‘motors’ have attracted much attention over the past two decades as synthetic analogues of motor proteins and microorganisms such as bacteria. While schemes have been developed for powering these objects with light, ultrasound, electric and magnetic fields, and thermal gradients, chemically propelled swimmers most closely resemble their biological counterparts by converting chemical energy to mechanical energy [1]. The chemical gradients generated by one swimmer can be felt by its neighbors, and this gives rise to biomimetic collective behavior such as swarming and predator-prey interactions [2].

One of the most interesting of these behaviors is chemotaxis, which is the tendency to swim up or down a solute concentration gradient. Chemotaxis has been observed with a wide variety of chemically-powered swimmers, ranging from individual enzyme molecules to catalytic colloidal particles [3,4]. Catalytically driven chemotaxis has been implicated in the assembly of metabolons, which are intracellular clusters of enzymes [5]. It has also been studied for application in transporting drug molecules across the blood-brain barrier [6] and in separating active from inactive forms of enzyme molecules [7].

Flagellar bacteria and other living microorganisms have sophisticated mechanisms for steering in gradients of signaling molecules, and this makes their chemotaxis towards nutrients or away from predators efficient. Synthetic swimmers can move just as fast, but they are constantly re-oriented by collisions with molecules in the fluid, i.e. by Brownian forces. Their chemotaxis can be understood as a random diffusional process that is biased by binding to reactant molecules, and is thus a weak effect [3]. Mou et al. [8] now show that strong chemotaxis can be achieved with synthetic micro-swimmers by designing them to compensate for Brownian rotation (Fig. 1). Effectively, the difference in reaction rates across the surface of a spherical swimmer can create a torque that continuously steers it into the gradient of fuel.

(A) A zinc oxide/silicon oxide Janus sphere is powered by a reaction with CO2, which generates Zn2+ and HCO3– ions. (B) In a gradient of CO2 concentration, the reaction also generates a torque, Mp, resulting in (C) particle re-alignment and (D) strong chemotaxis towards regions of high CO2 concentration [8].
Figure 1.

(A) A zinc oxide/silicon oxide Janus sphere is powered by a reaction with CO2, which generates Zn2+ and HCO3 ions. (B) In a gradient of CO2 concentration, the reaction also generates a torque, Mp, resulting in (C) particle re-alignment and (D) strong chemotaxis towards regions of high CO2 concentration [8].

The fuel in this case is carbon dioxide, a non-toxic molecule that is the product of aerobic respiration. This suggests possible in vitro or even in vivo application, such as targeted drug delivery that would be sensitive to the metabolic differences between cells or tissues. Here though there is a potential problem, because the propulsion mechanism proposed by Mou et al. involves a chemically generated electric field. Electric fields are damped in ‘salty’ media such as biological fluids. Nevertheless, it may be possible to combine chemical steering with another bio-friendly propulsion mechanism, e.g. by using ultrasound as the power source. This strategy has been used to propel micro-swimmers up- or downstream in flows, with the chemical reaction acting like the tail of a kite to orient rod-shaped particles [9]. Given the variety of propulsion mechanisms now available to micro-swimmers, there is significant potential to develop new applications based on chemical steering.

Conflict of interest statement. None declared.

REFERENCES

1.

Wang
YM
,
Tu
YF
,
Peng
F
.
Micromachines
2021
;
12
:
222
.

2.

Ibele
M
,
Mallouk
TE
,
Sen
A
.
Angew Chem Intl Ed
2009
;
48
:
3308
12
.

3.

Zhao
X
,
Palacci
H
,
Yadav
V
et al.
Nat Chem
2018
;
30
:
311
7
.

4.

Hong
Y
,
Blackman
NMK
,
Kopp
ND
et al.
Phys Rev Lett
2007
;
99
:
178103
.

5.

Wu
F
,
Pelster
LN
,
Minteer
SD
.
Chem Commun
2015
;
51
:
1244
7
.

6.

Joseph
A
,
Contini
C
,
Cecchin
D
et al.
Sci Adv
2017
;
3
:
e1700362
.

7.

Dey
KK
,
Das
S
,
Poyton
MF
et al.
ACS Nano
2014
;
8
:
11941
9
.

8.

Mou
F
,
Xie
Q
,
Liu
J
et al.
Natl Sci Rev
2021
;
doi: 10.1093/nsr/nwab066
.

9.

Ren
L
,
Zhou
D
,
Mao
Z
et al.
ACS Nano
2017
;
11
:
10591
8
.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.