Tianlong Li
Harbin Institute of Technology
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Publication
Featured researches published by Tianlong Li.
ACS Nano | 2014
Zhiguang Wu; Tianlong Li; Jinxing Li; Wei Gao; Tailin Xu; Caleb Christianson; Weiwei Gao; Michael Galarnyk; Qiang He; Liangfang Zhang; Joseph Wang
Attempts to apply artificial nano/micromotors for diverse biomedical applications have inspired a variety of strategies for designing motors with diverse propulsion mechanisms and functions. However, existing artificial motors are made exclusively of synthetic materials, which are subject to serious immune attack and clearance upon entering the bloodstream. Herein we report an elegant approach that turns natural red blood cells (RBCs) into functional micromotors with the aid of ultrasound propulsion and magnetic guidance. Iron oxide nanoparticles are loaded into the RBCs, where their asymmetric distribution within the cells results in a net magnetization, thus enabling magnetic alignment and guidance under acoustic propulsion. The RBC motors display efficient guided and prolonged propulsion in various biological fluids, including undiluted whole blood. The stability and functionality of the RBC motors, as well as the tolerability of regular RBCs to the ultrasound operation, are carefully examined. Since the RBC motors preserve the biological and structural features of regular RBCs, these motors possess a wide range of antigenic, transport, and mechanical properties that common synthetic motors cannot achieve and thus hold considerable promise for a number of practical biomedical uses.
Nano Letters | 2015
Jinxing Li; Tianlong Li; Tailin Xu; Melek Kiristi; Wenjuan Liu; Zhiguang Wu; Joseph Wang
Efficient and controlled nanoscale propulsion in harsh environments requires careful design and manufacturing of nanomachines, which can harvest and translate the propelling forces with high spatial and time resolution. Here we report a new class of artificial nanomachine, named magneto-acoustic hybrid nanomotor, which displays efficient propulsion in the presence of either magnetic or acoustic fields without adding any chemical fuel. These fuel-free hybrid nanomotors, which comprise a magnetic helical structure and a concave nanorod end, are synthesized using a template-assisted electrochemical deposition process followed by segment-selective chemical etching. Dynamic switching of the propulsion mode with reversal of the movement direction and digital speed regulation are demonstrated on a single nanovehicle. These hybrid nanomotors exhibit a diverse biomimetic collective behavior, including stable aggregation, swarm motion, and swarm vortex, triggered in response to different field inputs. Such adaptive hybrid operation and controlled collective behavior hold considerable promise for designing smart nanovehicles that autonomously reconfigure their operation mode according to their mission or in response to changes in their surrounding environment or in their own performance, thus holding considerable promise for diverse practical biomedical applications of fuel-free nanomachines.
Small | 2016
Tianlong Li; Jinxing Li; Hongtao Zhang; Xiaocong Chang; Wenping Song; Yanan Hu; Guangbin Shao; Elodie Sandraz; Guangyu Zhang; Longqiu Li; Joseph Wang
The swimming locomotion of fish involves a complex interplay between a deformable body and induced flow in the surrounding fluid. While innovative robotic devices, inspired by physicomechanical designs evolved in fish, have been created for underwater propulsion of large swimmers, scaling such powerful locomotion into micro-/nanoscale propulsion remains challenging. Here, a magnetically propelled fish-like artificial nanoswimmer is demonstrated that emulates the body and caudal fin propulsion swimming mechanism displayed by fish. To mimic the deformable fish body for periodic shape changes, template-electrosynthesized multisegment nanowire swimmers are used to construct the artificial nanofishes (diameter 200 nm; length 4.8 μm). The resulting nanofish consists a gold segment as the head, two nickel segments as the body, and one gold segment as the caudal fin, with three flexible porous silver hinges linking each segment. Under an oscillating magnetic field, the propulsive nickel elements bend the body and caudal fin periodically to generate travelling-wave motions with speeds exceeding 30 μm s-1 . The propulsion dynamics is studied theoretically using the immersed boundary method. Such body-deformable nanofishes exhibit a high swimming efficiency and can serve as promising biomimetic nanorobotic devices for nanoscale biomedical applications.
ACS Nano | 2017
Tianlong Li; Xiaocong Chang; Zhiguang Wu; Jinxing Li; Guangbin Shao; Xinghong Deng; Jianbin Qiu; Bin Guo; Guangyu Zhang; Qiang He; Longqiu Li; Joseph Wang
Self-propelled micro- and nanoscale robots represent a rapidly emerging and fascinating robotics research area. However, designing autonomous and adaptive control systems for operating micro/nanorobotics in complex and dynamically changing environments, which is a highly demanding feature, is still an unmet challenge. Here we describe a smart microvehicle for precise autonomous navigation in complicated environments and traffic scenarios. The fully autonomous navigation system of the smart microvehicle is composed of a microscope-coupled CCD camera, an artificial intelligence planner, and a magnetic field generator. The microscope-coupled CCD camera provides real-time localization of the chemically powered Janus microsphere vehicle and environmental detection for path planning to generate optimal collision-free routes, while the moving direction of the microrobot toward a reference position is determined by the external electromagnetic torque. Real-time object detection offers adaptive path planning in response to dynamically changing environments. We demonstrate that the autonomous navigation system can guide the vehicle movement in complex patterns, in the presence of dynamically changing obstacles, and in complex biological environments. Such a navigation system for micro/nanoscale vehicles, relying on vision-based close-loop control and path planning, is highly promising for their autonomous operation in complex dynamic settings and unpredictable scenarios expected in a variety of realistic nanoscale scenarios.
ACS Applied Materials & Interfaces | 2017
Xiaolong Lu; Fernando Soto; Jinxing Li; Tianlong Li; Yuyan Liang; Joseph Wang
Precise and reproducible manipulation of synthetic and biological microscale objects in complex environments is essential for many practical biochip and microfluidic applications. Here, we present an attractive acoustic topographical manipulation (ATM) method to achieve efficient and reproducible manipulation of diverse microscale objects. This new guidance method relies on the acoustically induced localized microstreaming forces generated around microstructures, which are capable of trapping nearby microobjects and manipulating them along a determined trajectory based on local topographic features. This unique phenomenon is investigated by numerical simulations examining the local microstreaming in the presence of microscale boundaries under the standing acoustic wave. This method can be used to manipulate a single microobject around a complex structure as well as collectively manipulate multiple objects moving synchronously along complicated shapes. Furthermore, the ATM can serve for automated maze solving by autonomously manipulating microparticles with diverse geometries and densities, including live cells, through complex maze-like topographical features without external feedback, particle modification, or adjustment of operational parameters.
Advanced Functional Materials | 2015
Zhiguang Wu; Tianlong Li; Wei Gao; Tailin Xu; Beatriz Jurado-Sánchez; Jinxing Li; Weiwei Gao; Qiang He; Liangfang Zhang; Joseph Wang
Nano Letters | 2015
Jinxing Li; Oleg E. Shklyaev; Tianlong Li; Wenjuan Liu; Henry Shum; Isaac Rozen; Anna C. Balazs; Joseph Wang
Advanced Functional Materials | 2015
Zhiguang Wu; Jinxing Li; Berta Esteban-Fernández de Ávila; Tianlong Li; Weiwei Gao; Qiang He; Liangfang Zhang; Joseph Wang
Nano Letters | 2016
Jinxing Li; Wenjuan Liu; Tianlong Li; Isaac Rozen; Jason Zhao; Babak Bahari; Boubacar Kante; Joseph Wang
Nano Letters | 2017
Tianlong Li; Jinxing Li; Konstantin I. Morozov; Zhiguang Wu; Tailin Xu; Isaac Rozen; Alexander Leshansky; Longqiu Li; Joseph Wang