Sensing of Fluidic Features Using Colloidal Microswarms

被引:17
作者
Chen, Hui [1 ,2 ]
Wang, Yibin [1 ,2 ]
Liu, Yuezhen [1 ]
Zou, Qian [1 ]
Yu, Jiangfan [1 ,2 ]
机构
[1] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China
[2] Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen 518129, Peoples R China
基金
中国国家自然科学基金;
关键词
colloidal microswarms; intelligent control; ionic strength sensing; on-demand sensing; swarm behaviors; viscosity sensing; IONIC-STRENGTH SENSORS; MOTION CONTROL; PATTERN;
D O I
10.1021/acsnano.2c05281
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Sensing of key parameters in fluidic environments has attracted extensive attention because the physical features of body fluids could be used for point-of-care disease diagnosis. Although various sensing methods have been investigated, effective sensing strategies of microenvironments remains a major challenge. In this paper, we propose an approach that can realize sensing of fluidic viscosity and ionic strength using microswarms formed by simple colloidal nanoparticles. The influences of fluidic ionic strength and viscosity on two swarm behaviors are analyzed (i.e., the spreading of circular vortex-like swarms and the elongation of elliptical swarms). The data models for quantifying the fluidic viscosity and ionic strength are obtained from experiments, and the fluidic features can be sensed successfully using the swarm behaviors. Furthermore, we demonstrate that the microswarms have the capability of passing through tortuous and narrow microchannels for sensing. Continuous sensing of different fluidic environments using swarms is also realized. Finally, the sensing of viscosity and ionic strength of porcine whole blood is presented, which also validates the feasibility of the sensing strategy.
引用
收藏
页码:16281 / 16291
页数:11
相关论文
共 43 条
[31]   LRRC8 Proteins Form Volume-Regulated Anion Channels that Sense Ionic Strength [J].
Syeda, Ruhma ;
Qiu, Zhaozhu ;
Dubin, Adrienne E. ;
Murthy, Swetha E. ;
Florendo, Maria N. ;
Mason, Daniel E. ;
Mathur, Jayanti ;
Cahalan, Stuart M. ;
Peters, Eric C. ;
Montal, Mauricio ;
Patapoutian, Ardem .
CELL, 2016, 164 (03) :499-511
[32]   Real-Time Ultrasound Doppler Tracking and Autonomous Navigation of a Miniature Helical Robot for Accelerating Thrombolysis in Dynamic Blood Flow [J].
Wang, Qianqian ;
Du, Xingzhou ;
Jin, Dongdong ;
Zhang, Li .
ACS NANO, 2022, 16 (01) :604-616
[33]   Real-Time Magnetic Navigation of a Rotating Colloidal Microswarm Under Ultrasound Guidance [J].
Wang, Qianqian ;
Yang, Lidong ;
Yu, Jiangfan ;
Chiu, Philip Wai Yan ;
Zheng, Yong-Ping ;
Zhang, Li .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (12) :3403-3412
[34]  
Wooseok Jung, 2015, Sensing and Bio-Sensing Research, V5, P8, DOI 10.1016/j.sbsr.2015.05.003
[35]   A comparison of methods to assess cell mechanical properties [J].
Wu, Pei-Hsun ;
Aroush, Dikla Raz-Ben ;
Asnacios, Atef ;
Chen, Wei-Chiang ;
Dokukin, Maxim E. ;
Doss, Bryant L. ;
Durand-Smet, Pauline ;
Ekpenyong, Andrew ;
Guck, Jochen ;
Guz, Nataliia V. ;
Janmey, Paul A. ;
Lee, Jerry S. H. ;
Moore, Nicole M. ;
Ott, Albrecht ;
Poh, Yeh-Chuin ;
Ros, Robert ;
Sander, Mathias ;
Sokolov, Igor ;
Staunton, Jack R. ;
Wang, Ning ;
Whyte, Graeme ;
Wirtz, Denis .
NATURE METHODS, 2018, 15 (07) :491-+
[36]  
Yang LD, 2020, IEEE INT CONF ROBOT, P9230, DOI [10.1109/icra40945.2020.9197010, 10.1109/ICRA40945.2020.9197010]
[37]   Statistics-Based Automated Control for a Swarm of Paramagnetic Nanoparticles in 2-D Space [J].
Yang, Lidong ;
Yu, Jiangfan ;
Zhang, Li .
IEEE TRANSACTIONS ON ROBOTICS, 2020, 36 (01) :254-270
[38]   Adaptive Pattern and Motion Control of Magnetic Microrobotic Swarms [J].
Yu, Jiangfan ;
Yang, Lidong ;
Du, Xingzhou ;
Chen, Hui ;
Xu, Tiantian ;
Zhang, Li .
IEEE TRANSACTIONS ON ROBOTICS, 2022, 38 (03) :1552-1570
[39]   Active generation and magnetic actuation of microrobotic swarms in bio-fluids [J].
Yu, Jiangfan ;
Jin, Dongdong ;
Chan, Kai-Fung ;
Wang, Qianqian ;
Yuan, Ke ;
Zhang, Li .
NATURE COMMUNICATIONS, 2019, 10 (1)
[40]   Reversible Swelling and Shrinking of Paramagnetic Nanoparticle Swarms in Biofluids With High Ionic Strength [J].
Yu, Jiangfan ;
Zhang, Li .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 24 (01) :154-163