Article
Chemistry, Multidisciplinary
Qingsong Xu, Zichen Xu
Summary: This study presents a reconfigurable microrobot swarm that is constructed by programming paramagnetic microparticles into carpets with cilia. The swarm is wirelessly controlled and can perform dexterous manipulation tasks with high output force and efficiency. Various biomedical tasks can be accomplished at the microscale by applying different types of magnetic fields.
Article
Chemistry, Multidisciplinary
Chen Xin, Dongdong Jin, Yanlei Hu, Liang Yang, Rui Li, Li Wang, Zhongguo Ren, Dawei Wang, Shengyun Ji, Kai Hu, Deng Pan, Hao Wu, Wulin Zhu, Zuojun Shen, Yucai Wang, Jiawen Li, Li Zhang, Dong Wu, Jiaru Chu
Summary: The development of environmentally adaptive shape-morphing microrobots (SMMRs) with programmatically encoded expansion rates in pH-responsive hydrogel enables targeted microparticle delivery. Combining magnetic propulsion, a shape-morphing microcrab (SMMC) is capable of gripping, transporting, and releasing microparticles.
Review
Biochemistry & Molecular Biology
Aleksey A. Nikitin, Anna Ivanova, Alevtina S. Semkina, Polina A. Lazareva, Maxim A. Abakumov
Summary: The magneto-mechanical approach is a powerful technique used in various biomedical applications. However, predicting its effects and translating research results to other experiments is challenging. This review provides a theoretical explanation, discusses the nature of mechanical forces, and showcases major applications.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Materials Science, Biomaterials
Mohammad Kanber, Obum Umerah, Stephen Brindley, Xuanyi Zhang, Jared M. Brown, Lew Reynolds, Juan Beltran-Huarac
Summary: Cancer treatment is a major healthcare challenge, with millions of new cases and deaths predicted in the US alone by 2023. A new method called magneto-mechanical actuation (MMA) is proposed to improve drug delivery to tumors by inducing endothelial permeability. This method uses superparamagnetic iron oxide nanoparticles and alternating magnetic fields to create transient gaps between cells, allowing the translocation of fluorescein isothiocyanate-dextran.
ACS BIOMATERIALS SCIENCE & ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Bihui Zou, Zihe Liang, Dijia Zhong, Zhiming Cui, Kai Xiao, Shuang Shao, Jaehyung Ju
Summary: Future active metamaterials for reconfigurable structural applications require fast, untethered, reversible, and reprogrammable (multimodal) transformability with shape locking. Magnetic control combined with the thermomechanical behavior of shape-memory polymers (SMPs) is demonstrated to enable untethered, reversible, low-powered reprogrammable deformations and shape locking without the need for new material synthesis or high-power energy.
ADVANCED MATERIALS
(2023)
Article
Biophysics
Suya Lin, Juan Li, Jiaqi Shao, Jiamin Zhang, Xuzhao He, Donghua Huang, Lingqing Dong, Jun Lin, Wenjian Weng, Kui Cheng
Summary: This study demonstrates that mechanical stimulation using oriented magnetic actuation can enhance the osteogenic differentiation of bone marrow mesenchymal stem cells. Applying parallel mechanical stimulation along the parallel-oriented collagen coating further promotes new bone formation in vivo. The direction of magnetic actuation controls the tensile status of collagen fibers, affecting the integrin signaling cascade.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2022)
Article
Nanoscience & Nanotechnology
Su-Jin Song, Carmen C. Mayorga-Martinez, Jan Vyskocil, Marketa Castoralova, Tomas Ruml, Martin Pumera
Summary: Magnetotactic bacteria can be precisely controlled by applying a magnetic field, allowing them to remove organic phosphate pesticides from aqueous solutions by binding with organic matter. These bacteria exhibit swarm behavior and can move in a circular direction under a programmed magnetic field. This technology shows potential for pollution removal and retrieval in various environments through directional magnetic actuation.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Cuijun Deng, Zhenguang Li, Laiya Lu, Huina Zhang, Runzhi Chen, Yali Liu, Yifan Tong, Orion R. Fan, Wanxin Huang, Yi Eve Sun, Feng Yin, Yu Cheng
Summary: A magneto-mechanically controlled mesenchymal stem cell platform is developed for the treatment of osteoarthritis, based on intercellular mechanical communication and intracellular mechanosignaling processes. This strategy allows for the assembly of cells and activation of mechanical signaling through a magnetic field, enhancing cartilage repair.
Article
Nanoscience & Nanotechnology
Jingyi Zhang, Yu Wang, Huaxia Deng, Chunyu Zhao, Yanan Zhang, Haiyi Liang, Xinglong Gong
Summary: The SM bianisotropic MSE combines high aspect ratio shape anisotropy and material anisotropy to achieve peculiar field-direction-dependent multimodal transformation. This material can be used to create flexible logic switches and ultrasoft magnetic manipulators.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Mathematics, Applied
Zhifeng Hao, Dan Wang, Marian Wiercigroch
Summary: This study introduces a new magneto-mechanical oscillator that focuses on the effects of mechanical and magnetic nonlinearities for large amplitude responses. The design includes a novel electromagnetic actuator and excitation patterns, demonstrating its versatility and potential applications.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Chemistry, Multidisciplinary
Jian Wang, Zhengxu Zhu, Pengfei Liu, Shengzhu Yi, Lelun Peng, Zhilun Yang, Xuelin Tian, Lelun Jiang
Summary: A novel magneto-responsive shutter (MRS) design is developed for on-demand droplet manipulation, allowing reversible swing and rotation of microblades over a large rotation range with precise control. Different functionalized MRSs enable a wide range of droplet manipulations, such as switchable wettability, directional droplet bounce, droplet distribution, merging, and continuous transport along straight or curved paths. MRS provides a new paradigm for efficient and on-demand multimode droplet manipulation under magnetic actuation.
Article
Nanoscience & Nanotechnology
Juan Beltran-Huarac, Dina N. Yamaleyeva, Gianpietro Dotti, Shawn Hingtgen, Marina Sokolsky-Papkov, Alexander Kabanov
Summary: This study developed a noninvasive therapeutic approach using magneto-mechanical actuation to regulate the expression of the tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) protein. By using magnetic nanoparticles as the control medium, the expression of therapeutic proteins in cells can be remotely regulated at low magnetic field strengths, enabling selective killing of cancer cells.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Engineering, Biomedical
Cagatay M. M. Oral, Martina Ussia, Mario Urso, Jiri Salat, Adam Novobilsky, Michal Stefanik, Daniel Ruzek, Martin Pumera
Summary: Magnetic nanorobots with radiopaque features and microCT technology enable precise navigation and in vivo imaging in hard-to-reach areas of the human body. The nanorobots can be controlled by rotating magnetic fields and their internal structures can be revealed through X-ray contrast. In vivo experiments demonstrate the localization capability of the nanorobots in the gastrointestinal tract.
ADVANCED HEALTHCARE MATERIALS
(2022)
Article
Chemistry, Physical
Yun Wang, Haidong Yu, Yunrui Chen, Xiangyu Wang, Jiajun He, Zhicheng Ye, Yu Liu, Yabin Zhang, Ben Wang
Summary: This article reports a kind of Spirulina-based magnetic photocatalytic microrobots with a decreased band gap, which can effectively degrade water pollutants. These microrobots can perform selective catalytic degradation of organic pollutants in specific regions and their catalytic capability can be activated or inhibited by light or magneto-optical stimuli. The biohybrid and magneto-optical responsive microrobots provide a potential platform for selective pollutants catalysis in wastewater treatment plants.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2023)
Article
Materials Science, Multidisciplinary
Yuxuan Sun, Yuwei Ju, Hao Wen, Ruiqi Liu, Quanliang Cao, Liang Li
Summary: This research proposes a novel hybrid-excited magnetic actuation approach that combines permanent magnets and electromagnets, achieving a balance between flexibility and energy efficiency. They also develop a magnetic soft gripper system capable of versatile object manipulation and demonstrate its exceptional performance through experiments.
APPLIED MATERIALS TODAY
(2023)
Article
Chemistry, Physical
Yuemin Lin, Renfeng Nie, Yuting Li, Xun Wu, Jiaqi Yu, Shaohua Xie, Yajing Shen, Shanjun Mao, Yuzhuo Chen, Dan Lu, Zongbi Bao, Qiwei Yang, Qilong Ren, Yiwen Yang, Fudong Liu, Long Qi, Wenyu Huang, Zhiguo Zhang
Summary: We report a novel non-precious metal catalyst consisting of single-atom cobalt for the selective reduction of functionalized nitroarenes to amines. The catalyst exhibits high catalytic activity, resistance to poisoning, and corrosion, showing great potential for applications in the chemical industry.
Article
Chemistry, Multidisciplinary
Liu Yang, Tieshan Zhang, Rong Tan, Xiong Yang, Dong Guo, Yu Feng, Hao Ren, Yifeng Tang, Wanfeng Shang, Yajing Shen
Summary: Untethered small robots with multiple functions have the potential to revolutionize biomedical applications. However, the challenge of swimming upstream in dynamic blood flow has hindered their use for medical tasks. This study presents a streamlined millirobot that uses a spiral-rolling strategy to achieve record-breaking speed against blood flow. It also incorporates features such as a self-sealing orifice and an auto-closed biopsy needle sheath for various biomedical tasks in blood vessels.
Article
Robotics
Youcan Yan, Yajing Shen, Chaoyang Song, Jia Pan
Summary: This study proposes a novel tactile super-resolution method based on a sinusoidally magnetized soft magnetic skin, which achieves higher localization accuracy and the ability to measure force magnitude. Different from existing methods, this approach relies on local information from a single 3-axis taxel and can detect multipoint contact and remain robust to damage.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Materials Science, Multidisciplinary
Yuanyuan Yang, Xing Li, Yajing Shen
Summary: In this study, a neural network-assisted electrode array-free capacitive sensor is proposed, which only requires four wires for sensing areas of any scale. It provides a simple and low-cost model for tactile sensors, and the value and location of force signals can be analyzed and predicted with the assistance of a neural network.
ACS APPLIED POLYMER MATERIALS
(2022)
Review
Biochemistry & Molecular Biology
Wei Zhang, Yifei Nan, Zongxuan Wu, Yajing Shen, Dan Luo
Summary: This review discusses recent advances and methods in photothermal-driven liquid crystal elastomers (LCEs), as well as their applications in optics and robotics. The review concludes by examining current challenges and research opportunities.
Article
Chemistry, Multidisciplinary
Siqi Sun, Jiaqi Miao, Rong Tan, Tieshan Zhang, Gen Li, Yajing Shen
Summary: This study presents an asymmetric soft-structure functional surface (ASFS) that can directionally transport liquids, achieve liquid mixing, and has intelligent response ability by utilizing the intrinsic properties of the liquids. It opens new avenues for application-oriented liquid operation surfaces.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
Zhenghua Zhao, Mingjie Liu, Kai Zhou, Lidong Guo, Yajing Shen, Dan Lu, Xin Hong, Zongbi Bao, Qiwei Yang, Qilong Ren, Peter R. Schreiner, Zhiguo Zhang
Summary: Phenoxyl radicals derived from phenols have been harnessed for photocatalysis due to their stability and mild oxidative activity. A stable and recyclable metal-organic framework Zr-MOF-OH, composed of a binaphthol derivative ligand, has been synthesized and shown to function as an efficient heterogeneous photocatalyst with good catalytic activity and substrate compatibility for the selective oxidation of sulfides to sulfoxides under visible light irradiation. The photocatalytic process involves the conversion of phenolic hydroxyl groups to phenoxyl radicals through excited state intramolecular proton transfer, with triplet O2 directly participating in the reaction, providing wide substrate compatibility and high selectivity.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Chang Xu, Yali Liu, Jiayan Li, Peng Ning, Zhong Shi, Wei Zhang, Zhenguang Li, Ruimei Zhou, Yifan Tong, Yingze Li, Cheng Lv, Yajing Shen, Qian Cheng, Bin He, Yu Cheng
Summary: This study proposes a photomagnetically powered nanomachine (PMN) with a spiky surface and thermally dependent viscosity tunability to facilitate mechanical motion in lysosomes for cancer mechanotherapy. The spiky structure endows nanomachines with a photomagnetic coupling effect in the NIR-II region, and PMNs can be efficiently propelled under simultaneously applied dual external energy sources in cell lysosomes. Enhanced mechanical destruction of cancer cells via PMNs is confirmed both in vitro and in vivo under photomagnetic treatment. This study provides a theoretical basis for designing integrated nanomachines with active adaptability to physiological environments for cancer treatment.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Physical
Zhihao Jin, Yajing Shen, Xianfu Chen, Minghui Qiu, Yiqun Fan
Summary: The introduction of Ce effectively inhibited the phase transformation of TiO2 and prevented cracks, resulting in excellent performance and anti-fouling properties for the Ce-doped TiO2 membrane in protein separation.
APPLIED SURFACE SCIENCE
(2023)
Article
Biochemistry & Molecular Biology
Zhenghua Zhao, Mingjie Liu, Kai Zhou, Hantao Gong, Yajing Shen, Zongbi Bao, Qiwei Yang, Qilong Ren, Zhiguo Zhang
Summary: This study explores the photo-oxidation of sulfides using phosphoric acids as heterogeneous photocatalysts. It is found that the selective oxidation of sulfides occurs with triplet oxygen rather than common reactive oxygen species (ROS). When irradiated, the hydroxyl group of phosphoric acid is converted into oxygen radical, which reacts with the sulfides to form sulfoxides, resulting in high substrate compatibility and recyclability.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Engineering, Chemical
Zhihao Jin, Minghui Qiu, Juanjuan Wen, Yajing Shen, Xianfu Chen, Yiqun Fan
Summary: In this study, an integrated and thin ZrO2-CeO2 composite ultrafiltration membrane was developed, exhibiting outstanding chemical stability and PVA separation performance under harsh conditions. The membrane also showed high efficiency for chemical cleaning, with stable pore structure and integrity. This high-performance UF membrane has great potential for PVA recovery from desizing wastewater.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Jinfei Yang, Weiwei Yao, Huihui Yang, Yajing Shen, Yuanyuan Zhang
Summary: The incidence of non-alcoholic fatty liver disease (NAFLD) has been increasing worldwide. Insulin resistance plays a crucial role in hepatic lipid deposition. This study used computer-aided drug design to discover a compound, YRL-03, which effectively reduces lipid accumulation by targeting estrogen receptor alpha (ER alpha) and alleviating insulin resistance.
FRONTIERS IN CHEMISTRY
(2022)
Article
Engineering, Civil
Xing Li, Zhenlong Hu, Yajing Shen, Lina Hao, Wanfeng Shang
Summary: The purpose of this study is to optimize the Beetle Antenna Search (BAS) algorithm and apply it to the Intelligent Transportation System (ITS) to address traffic congestion. The study examines the development status of ITS and the application status of the BAS algorithm. It proposes an algorithm with quadratic interpolation optimization, named QIBAS, combined with the Least Squares Support Vector Machine Algorithm (LSSVM). A traffic flow prediction model based on QIBAS-LSSVM is established. The results show that the proposed QIBAS algorithm has a good effect and high accuracy in short-term traffic flow prediction.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Xing Li, Haotian Zhang, Yajing Shen, Lina Hao, Wanfeng Shang
Summary: This study aims to improve the transmission and sharing efficiency of intelligent transportation data and promote the further development of intelligent transportation and smart city. Through the design of the Energy Efficient Multi-hop Routing (EEMR) algorithm and the deep learning-based TAdam algorithm, the energy balance of network nodes and the minimization of system energy consumption have been achieved. The experimental results show that the EEMR algorithm achieves a network surviving node proportion of over 90% in data collection, while the TAdam algorithm exhibits the fastest convergence speed and the best generalization performance on the test data set.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
