Drug Delivery Based on Swarm Microrobots

Banharnsakun, Anan; Achalakul, Tiranee; Batra, R.C.

doi:10.1142/s1469026816500061

Cited by 9 publications

(4 citation statements)

References 31 publications

(40 reference statements)

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“…Swarm control of microrobots involves the coordinated control of a substantial number of small robots, enabling them to perform tasks collectively [ 38 ]. Drug delivery using a swarm of microrobots requires greater control over the delivery process, which has the potential to enhance the effectiveness of the medication [ 39 ]. Through the synchronization of microrobot movements, it becomes feasible to administer drugs with heightened precision and accuracy.…”

Section: Resultsmentioning

confidence: 99%

Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers

et al. 2023

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This study investigates the motion characteristics of soft alginate microrobots in complex fluidic environments utilizing wireless magnetic fields for actuation. The aim is to explore the diverse motion modes that arise due to shear forces in viscoelastic fluids by employing snowman-shaped microrobots. Polyacrylamide (PAA), a water-soluble polymer, is used to create a dynamic environment with non-Newtonian fluid properties. Microrobots are fabricated via an extrusion-based microcentrifugal droplet method, successfully demonstrating the feasibility of both wiggling and tumbling motions. Specifically, the wiggling motion primarily results from the interplay between the viscoelastic fluid environment and the microrobots’ non-uniform magnetization. Furthermore, it is discovered that the viscoelasticity properties of the fluid influence the motion behavior of the microrobots, leading to non-uniform behavior in complex environments for microrobot swarms. Through velocity analysis, valuable insights into the relationship between applied magnetic fields and motion characteristics are obtained, facilitating a more realistic understanding of surface locomotion for targeted drug delivery purposes while accounting for swarm dynamics and non-uniform behavior.

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Section: Resultsmentioning

confidence: 99%

Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers

et al. 2023

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“…Swarm control of microrobots involves the coordinated control of a substantial number of small robots, enabling them to perform tasks collectively [24]. Drug delivery using a swarm of microrobots requires greater control over the delivery process, which has the po- tential to enhance the effectiveness of the medication [25]. Through the synchronization of microrobot movements, it becomes feasible to administer drugs with heightened precision and accuracy.…”

Section: Swarm Controlmentioning

confidence: 99%

Navigation and Control of Motion Modes with Soft Microrobots for Drug Delivery at Low Reynolds Numbers

Kararsiz¹,

Duygu²,

Wang³

et al. 2023

Preprint

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In this study, the motion characteristics of soft alginate microrobots were investigated with wireless magnetic fields in complex fluidic environments. Our aim is to explore the various motion modes that arise as a result of shear forces in viscoelastic fluids. Polyacrylamide (PAA), a water-soluble polymer, was characterized to produce a dynamic environment with a non-Newtonian fluid. The robots were fabricated by an extrusion-based microcentrifugal droplet method. We successfully demonstrated the feasibility of both wiggling and tumbling motions using snowman-shaped microbots. It is found that wiggling motion is primarily influenced by the interaction between the viscoelastic fluid environment and the non-uniform magnetization of the microbots. Additionally, it is discovered that modifying the viscoelasticity properties of the fluid can affect the motion behavior of the microbots. Furthermore, we observed that swarms of microbots exhibit non-uniform behavior within complex environments. Our velocity analysis has provided valuable insights into the relationship between applied magnetic fields and motion characteristics, enabling a more realistic understanding of surface locomotion in the context of targeted drug delivery.

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“…Their target identification and controlled drug release abilities are facilitated via the bioactuation mechanisms. [156,162,163] The integration of ANN for prediction and optimization of these nanorobots (the combination of virtual and physical AI) is expected to improve further their performance in diagnostics and targeted drug delivery in the near future.…”

Section: Artificial Intelligencementioning

confidence: 99%

Delivery of Nanoconstructs in Cancer Therapy: Challenges and Therapeutic Opportunities

Saw

Anasamy

Foo

et al. 2021

Advanced Therapeutics

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Nanosized constructs are widely applied to address the common drawbacks of conventional cancer therapy, such as a nonspecific biodistribution, toxicity and targeting. Nevertheless, there are several challenges in transporting sufficient drugs to the tumor using these nanoconstructs, which are discussed in this review. Additionally, the current opportunities that improve the biodistribution of nanoconstructs, tumor penetration and drug accumulation are elaborated. The distinct features of currently available strategies do not adequately fit the classical passive and active targeting categories; therefore, in this review, they are regrouped into autonomous and nonautonomous drug delivery systems. Autonomous systems are defined as self-directed systems that can enhance nanoparticle retention and distribution in solid tumors without the need to align with the blood flow direction, while non-autonomous systems primarily rely on the blood flow direction, longevity in the circulation and specific affinity to the target cells. Moreover, the effectiveness of the existing delivery systems could be further improved through the correct choice of route of administration. The role of the route of administration in improving these drug delivery methods and some recent examples of locoregional cancer therapy are discussed. These findings could stimulate improvements in the delivery of multifunctional nanoconstructs, which could facilitate successful cancer treatments.

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Drug Delivery Based on Swarm Microrobots

Cited by 9 publications

References 31 publications

Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers

Navigation and Control of Motion Modes with Soft Microrobots at Low Reynolds Numbers

Navigation and Control of Motion Modes with Soft Microrobots for Drug Delivery at Low Reynolds Numbers

Delivery of Nanoconstructs in Cancer Therapy: Challenges and Therapeutic Opportunities

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