Phototropic Aggregation and Light-Guided Long-Distance Collective Transport of Colloidal Particles

Wu, Xiaogang; Xue, Xuan; Wang, Jinghang; Liu, Hewen

doi:10.1021/acs.langmuir.0c01244

Cited by 11 publications

(15 citation statements)

References 59 publications

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“…The positive phototactic behavior has been applied to navigate the swarm pattern by following the exposed area (Figure f(ii)). The motion speed of the UV source also affects the collective states of silica microparticle swarms . The microparticles follow the UV spot at a constant speed if the speed of the source below a critical value.…”

Section: Light-driven Microrobotic Swarmmentioning

confidence: 99%

“…The motion speed of the UV source also affects the collective states of silica microparticle swarms. 105 The microparticles follow the UV spot at a constant speed if the speed of the source below a critical value. This method could be applied to extract particles from a mixed ensemble due to the different responses of microparticles with various components and diameters.…”

Section: Light-driven Microrobotic Swarmmentioning

confidence: 99%

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External Power-Driven Microrobotic Swarm: From Fundamental Understanding to Imaging-Guided Delivery

2021

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Untethered micro/nanorobots have been widely investigated owing to their potential in performing various tasks in different environments. The significant progress in this emerging interdisciplinary field has benefited from the distinctive features of those tiny active agents, such as wireless actuation, navigation under feedback control, and targeted delivery of small-scale objects. In recent studies, collective behaviors of these tiny machines have received tremendous attention because swarming agents can enhance the delivery capability and adaptability in complex environments and the contrast of medical imaging, thus benefiting the imaging-guided navigation and delivery. In this review, we summarize the recent research efforts on investigating collective behaviors of external power-driven micro/nanorobots, including the fundamental understanding of swarm formation, navigation, and pattern transformation. The fundamental understanding of swarming tiny machines provides the foundation for targeted delivery. We also summarize the swarm localization using different imaging techniques, including the imaging-guided delivery in biological environments. By highlighting the critical steps from understanding the fundamental interactions during swarm control to swarm localization and imaging-guided delivery applications, we envision that the microrobotic swarm provides a promising tool for delivering agents in an active, controlled manner.

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Section: Light-driven Microrobotic Swarmmentioning

confidence: 99%

Section: Light-driven Microrobotic Swarmmentioning

confidence: 99%

External Power-Driven Microrobotic Swarm: From Fundamental Understanding to Imaging-Guided Delivery

2021

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“…One approach for assembling and managing populations of microrobot relies on using chemical interactions and signaling. For example, the chemical gradients resulting from self-propulsion chemical reactions may cause collective attractive motion and formation of large swarms. ,,− For instance, one of the simplest methods to assemble a swarm of microparticles is based on the formation of byproducts from chemical reaction. This approach was demonstrated using Au microparticles in a solution of hydrazine (N 2 H 4 ) and H 2 O 2 (Figure a) .…”

Section: Cooperationmentioning

confidence: 99%

Smart Materials for Microrobots

et al. 2021

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Over the past 15 years, the field of microrobotics has exploded with many research groups from around the globe contributing to numerous innovations that have led to exciting new capabilities and important applications, ranging from in vivo drug delivery, to intracellular biosensing, environmental remediation, and nanoscale fabrication. Smart responsive materials have had a profound impact on the field of microrobotics and have imparted small-scale robots with new functionalities and distinct capabilities. We have identified four large categories where the majority of future efforts must be allocated to push the frontiers of microrobots and where smart materials can have a major impact on such future advances. These four areas are the propulsion and biocompatibility of microrobots, the cooperation between individual units and human operators, and finally, the intelligence of microrobots. In this Review, we look critically at the latest developments in these four categories and discuss how smart materials contribute to the progress in the exciting field of microrobotics and will set the stage for the next generation of intelligent and programmable microrobots.

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“…The average velocity arises up to 17.8 µm s −1 and such fast collection speed is competitive to other external-field-powered microrobotic swarms. [57][58][59] Particularly, 6 TM models from different locations around the sonoelectrode were selected to demonstrate the velocity variation. A larger fluctuation than that of SM models was obtained during the aggregation (Figure 6d).…”

Section: Controlled Swarming Of Tubular Micromotorsmentioning

confidence: 99%

Universal Control for Micromotor Swarms with a Hybrid Sonoelectrode

Wei

et al. 2021

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field actuation, enabling various sophisticated tasks accomplished. [9][10][11][12] However, it is usually restricted to the precise manipulations for a small number of micromotors. Indeed, many practical application scenarios, taking microfluidic analysis and ultratrace biological detection, for example, [13,14] require quickly steering the motion of numerous micromotors together to achieve higher throughput and capacity.The micromotor swarm is attractive due to its enhanced capacity for precise enrichment and reinforced adaption to diverse working environments, illuminating more prospective in active chemical and biological detections, etc. [15][16][17] The pioneering collective behaviors were conceptually exploited using the self-propelled catalytic micromotors, of which colonies and interactions for subcellular microrobots were enabled by chemical reactions. [18] Even though the catalytic decomposition could create sufficient energy to power self-organizations for microrobots, such unsustainable process is difficult to control and the collective swarming cannot be reversed. [19,20] Recently, external fields including optical [21,22] and magnetic [23,24] stimulus were employed to trigger micromotors mimicking the swarm behaviors of microorganisms in nature. In particular, dynamic clustering, schooling, and reversible explosion have been demonstrated on spherical or tubular micromotors, whereas specific material properties are strongly required. [25] On the other hand, the acoustic field has been emerging as an attractive power source due to its favorable controllability and ideal compatibility to micromotors with various configurations and components. [26][27][28] Most recently, self-generated large bubbles were applied to attract micromotors to organize dandelion-like microswarms and achieve ultrafast locomotion in the acoustic field, but only a limited number of micromotors could be collected to perform irreversible group swarming. [29] Recent achievements on ultrasensitive and rapid biosensing reveal that ultrasound-powered microrobot swarming is promising for Raman enhancement and trace-level protein detections, [30][31][32][33] but issues including control efficiency and versatility still need to be addressed. Consequently, facilely modulating swarming behaviors of massive micromotors remains an unmet challenge and the universal control strategy for different micromotor swarms is still lacking.

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Phototropic Aggregation and Light-Guided Long-Distance Collective Transport of Colloidal Particles

Cited by 11 publications

References 59 publications

External Power-Driven Microrobotic Swarm: From Fundamental Understanding to Imaging-Guided Delivery

External Power-Driven Microrobotic Swarm: From Fundamental Understanding to Imaging-Guided Delivery

Smart Materials for Microrobots

Universal Control for Micromotor Swarms with a Hybrid Sonoelectrode

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