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Recent Developments in Metallic Degradable Micromotors for Biomedical and Environmental Remediation Applications

Nano-Micro Letters 2024年第3期16卷 1-35页

作者： Sourav Dutta Seungmin Noh Roger Sanchis Gual Xiangzhong Chen Salvador Pané Bradley J.Nelson Hongsoo Choi Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea DGIST‑ETH Microrobotics Research Center DGISTDaegu 42988Republic of Korea Multi‑Scale Robotics Lab Institute of Robotics and Intelligent SystemsETH Zurich8092 ZurichSwitzerland Institute of Optoelectronics State Key Laboratory of Photovoltaic Science and TechnologyShanghai Frontiers Science Research Base of Intelligent Optoelectronics and PerceptionFudan UniversityShanghai 200433People’s Republic of China

Synthetic micromotor has gained substantial attention in biomedicine and environmental remediation.Metal-based degradable micromotor composed of magnesium(Mg),zinc(Zn),and iron(Fe)have promise due to their nontoxic fuel-free propulsion,favorable biocompatibility,and safe excretion of degradation products Recent advances in degradable metallic micromotor have shown their fast movement in complex biological media,efficient cargo delivery and favorable biocompatibility.A noteworthy number of degradable metal-based micromotors employ bubble propulsion,utilizing water as fuel to generate hydrogen bubbles.This novel feature has projected degradable metallic micromotors for active in vivo drug delivery applications.In addition,understanding the degradation mechanism of these micromotors is also a key parameter for their design and performance.Its propulsion efficiency and life span govern the overall performance of a degradable metallic micromotor.Here we review the design and recent advancements of metallic degradable micromotors.Furthermore,we describe the controlled degradation,efficient in vivo drug delivery,and built-in acid neutralization capabilities of degradable micromotors with versatile Biomedical applications.Moreover,we discuss micromotors’efficacy in detecting and destroying environmental pollutants.Finally,we address the limitations and future research directions of degradable metallic micromotors.

关键词： Magnesium Zinc Iron Biodegradable microrobot Biomedical Environmental

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Sensors-integrated organ-on-a-chip for Biomedical applications

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Nano Research 2023年第7期16卷 10072-10099页

作者： Hanxu Chen Zhiqiang Luo Xiang Lin Yujuan Zhu Yuanjin Zhao Department of Rheumatology and Immunology Nanjing Drum Tower HospitalSchool of Biological Science and Medical EngineeringSoutheast UniversityNanjing 210096China Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou 325001China

As a promising new micro-physiological system,organ-on-a-chip has been widely utilized for in vitro pharmaceutical study and tissues engineering based on the three-dimensional constructions of tissues/organs and delicate replication of in vivo-like microenvironment.To better observe the biological processes,a variety of sensors have been integrated to realize in-situ,realtime,and sensitive monitoring of critical signals for organs development and disease modeling.Herein,we discuss the recent research advances made with respect to sensors-integrated organ-on-a-chip in this overall review.Firstly,we briefly explore the underlying fabrication procedures of sensors within microfluidic platforms and several classifications of sensory principles.Then,emphasis is put on the highlighted applications of different types of organ-on-a-chip incorporated with various sensors.Last but not least,perspective on the remaining challenges and future development of sensors-integrated organ-on-a-chip are presented.

关键词： organ-on-a-chip(OOC) micro-physiological system tissue engineering sensors Biomedical

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Emerging single-atom nanozymes for catalytic Biomedical uses

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Nano Research 2023年第12期16卷 13056-13076页

作者： Shuangfei Cai Wei Zhang Rong Yang CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety Center of Materials Science and Optoelectronics EngineeringCAS Center for Excellence in NanoscienceNational Center for Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing 100190China Sino-Danish College Sino-Danish Center for Education and ResearchUniversity of Chinese Academy of SciencesBeijing 100049China Institute of Applied Physics and Computational Mathematics Beijing 100088China

The past four years have witnessed booming progress in single-atom nanozymes(SANs),one of the newest generations of nanozymes with atomically dispersed metal sites for catalytic Biomedical uses.They show distinct advantages over their nanoparticle-based counterparts,such as well-defined electronic/geometric structures and complete atomic utilization efficiency,thus offering opportunities to develop advanced nanozymes for practical uses.The atomically dispersed active centers in SANs could also facilitate the precise regulation of catalytic performance,while probing structure–activity relationship for in-depth understanding of mechanism.In this review,we first introduce the synthetic approaches,surface engineering,and characterization techniques of SANs.Subsequently,we discuss the enzyme-like properties of SANs,including some strategies for boosting their catalytic activities.Furthermore,we present their Biomedical applications,ranging from biosensors,antibacterial uses,antioxidants,to therapeutics.Finally,the challenges and opportunities of SANs are prospected.

关键词： single atom metal nanozyme enzyme-like catalysis Biomedical

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Recent developments in nonferrous metals and related materials for Biomedical applications in China:a review

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Rare Metals 2022年第5期41卷 1410-1433页

作者： Hai-Ling Tu Hong-Bin Zhao Yan-Yan Fan Qing-Zhu Zhang State Key Laboratory of Advanced Materials for Smart Sensing GRINM Group Co.Ltd.Beijing 100088China China Academy of Space Technology Beijing 100094China Key Laboratory of Microelectronics Devices&Integrated Technology Institute of MicroelectronicsCASBeijing 100029China

Biomedical materials have received increasing attention in recent decades and have been used in medical applications to advance patient care,such as prosthetic implants,tissue repair and regeneration,drug delivery systems,pharmaceutical or biological therapy products,and sensitive diagnostic technologies.Among different types of Biomedical materials,nonferrous metals and related materials(NMRMs)are important and attractive candidates.The updating of Biomedical NMRMs and devices heavily relies on original research and applicationoriented innovation.Here,we provide recent research findings and succinct insights into the developments in NMRMs for Biomedical applications in China,including the use of titanium,magnesium,copper,zinc,cobalt,zirconium,hafnium,niobium,rhenium,tantalum,tungsten,silver,gold,platinum,palladium,their alloys and compounds,rare earths,high-entropy alloys,and liquid metals.Finally,the literature review concludes with several possible directions of NMRMs for new and future developments in Biomedical engineering.

关键词： Nonferrous metal Biomedical Implants In vitro and in vivo Imaging Cancer treatment

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Recent advances in nanofiltration,reverse osmosis membranes and their applications in Biomedical separation field

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Chinese Journal of Chemical Engineering 2022年第9期35卷 76-99页

作者： Kai Zhang Huan-Huan Wu Hui-Qian Huo Yan-Li Ji Yong Zhou Cong-Jie Gao Center for Membrane and Water Science&Technology Zhejiang University of TechnologyHangzhou 310014China

In the face of human society's great requirements for health industry,and the much stricter safety and quality standards in the Biomedical industry,the demand for advanced membrane separation technologies continues to rapidly grow in the world.Nanofiltration(NF)and reverse osmosis(RO)as the highefficient,low energy consumption,and environmental friendly membrane separation techniques,show great promise in the application of Biomedical separation field.The chemical compositions,microstructures and surface properties of NF/RO membranes determine the separation accuracy,efficiency and operation cost in their applications.Accordingly,recent studies have focused on tuning the structures and tailoring the performance of NF/RO membranes via the design and synthesis of various advanced membrane materials,and exploring universal and convenient membrane preparation strategies,with the objective of promoting the better and faster development of NF/RO membrane separation technology in the Biomedical separation field.This paper reviews the recent studies on the NF/RO membranes constructed with various materials,including the polymeric materials,different dimensional inorganic/organic nanomaterials,porous polymeric materials and metal coordination polymers,etc.Moreover,the influence of membrane chemical compositions,interior microstructures,and surface characteristics on the separation performance of NF/RO membranes,are comprehensively discussed.Subsequently,the applications of NF/RO membranes in Biomedical separation field are systematically reported.Finally,the perspective for future challenges of NF/RO membrane separation techniques in this field is discussed.

关键词： Nanofiltration Reverse osmosis Membrane Separation Biomedical

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Fusion Based Tongue Color Image Analysis Model for Biomedical Applications

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Computers, Materials & Continua 2022年第6期71卷 5477-5490页

作者： Esam A.AlQaralleh Halah Nassif Bassam A.Y.Alqaralleh School of Engineering Princess Sumaya University for TechnologyAmman11941Jordan Management Information Systems Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia

Tongue diagnosis is a novel and non-invasive approach commonly employed to carry out the supplementary diagnosis over the globe.Recently,several deep learning(DL)based tongue color image analysis models have existed in the literature for the effective detection of diseases.This paper presents a fusion of handcrafted with deep features based tongue color image analysis(FHDF-TCIA)technique to Biomedical applications.The proposed FDHF-TCIA technique aims to investigate the tongue images using fusion model,and thereby determines the existence of disease.Primarily,the FHDF-TCIA technique comprises Gaussian filtering based preprocessing to eradicate the noise.The proposed FHDF-TCIA model encompasses a fusion of handcrafted local binary patterns(LBP)withMobileNet based deep features for the generation of optimal feature vectors.In addition,the political optimizer based quantum neural network(PO-QNN)based classification technique has been utilized for determining the proper class labels for it.A detailed simulation outcomes analysis of the FHDF-TCIA technique reported the higher accuracy of 0.992.

关键词： Tongue color image tongue diagnosis Biomedical healthcare deep learning metaheuristics

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Automated Multi-Document Biomedical Text Summarization Using Deep Learning Model

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Computers, Materials & Continua 2022年第6期71卷 5799-5815页

作者： Ahmed S.Almasoud Siwar Ben Haj Hassine Fahd N.Al-Wesabi Mohamed K.Nour Anwer Mustafa Hilal Mesfer Al Duhayyim Manar Ahmed Hamza Abdelwahed Motwakel Department of Information Systems College of Computer and Information SciencesPrince Sultan UniversitySaudi Arabia Department of Computer Science College of Science and Arts at MahayilKing Khalid UniversitySaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Computer Science College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Due to the advanced developments of the Internet and information technologies,a massive quantity of electronic data in the Biomedical sector has been exponentially increased.To handle the huge amount of Biomedical data,automated multi-document Biomedical text summarization becomes an effective and robust approach of accessing the increased amount of technical and medical literature in the Biomedical sector through the summarization of multiple source documents by retaining the significantly informative data.So,multi-document Biomedical text summarization acts as a vital role to alleviate the issue of accessing precise and updated information.This paper presents a Deep Learning based Attention Long Short Term Memory(DLALSTM)Model for Multi-document Biomedical Text Summarization.The proposed DL-ALSTM model initially performs data preprocessing to convert the available medical data into a compatible format for further processing.Then,the DL-ALSTM model gets executed to summarize the contents from the multiple Biomedical documents.In order to tune the summarization performance of the DL-ALSTM model,chaotic glowworm swarm optimization(CGSO)algorithm is employed.Extensive experimentation analysis is performed to ensure the betterment of the DL-ALSTM model and the results are investigated using the PubMed dataset.Comprehensive comparative result analysis is carried out to showcase the efficiency of the proposed DL-ALSTM model with the recently presented models.

关键词： Biomedical text summarization healthcare deep learning lstm parameter tuning

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Introduction to the Special Issue on Advances in Biophotonics and Biomedical Optics:Part II

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Journal of Innovative Optical Health Sciences 2022年第1期15卷 29-31页

作者： Polina Dyachenko(Timoshina) Tingting Yu Dan Zhu Valery V.Tuchin Research-Educational Institute of Optics and Biophotonics Saratov State University Saratov 410012Russia Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan 430074 P.R.China MoE Key Laboratory for Biomedical Photonics School of Engineering Sciences Huazhong University of Science and Technology Wuhan 430074 P.R.China

The 9th Chinese–Russian Workshop on Biophotonics and Biomedical Optics was held online on 28–30 September 2020.The bilateral workshop brought together both Russian and Chinese scientists,engineers,and clinical researchers from a variety of disciplines engaged in applying optical science,photonics,and imaging technologies to problems in biology and medicine.During the workshop,2 plenary lectures,35 invited presentations,5 oral presentations,and 8 internet reports were presented.This special issue selects some papers from the attendees and includes both research and review articles.

关键词： photonics Russian Biomedical

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Recent progress of nanogenerators acting as Biomedical sensors in vivo

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Science Bulletin 2019年第18期64卷 1336-1347页

作者： Jinyan Sun Anping Yang Chaochao Zhao Fang Liu Zhou Li Department of Biomedical Engineering School of Medical EngineeringFoshan UniversityFoshan 528000China Beijing Key Laboratory of Micro-Nano Energy and Sensor Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083China Center on Nanoenergy Research School of Physical Science and TechnologyGuangxi UniversityNanning 530004China

Since the nanogenerator(NG) was invented in 2006, it has been successfully developed and utilized to harvest various forms of mechanical energy in vivo. The NGs promote the progress of self-powered Biomedical devices. Moreover, NGs can also be used as sensors to detect a variety of important physiological signals, which brings us closer to real-time, high-fidelity monitoring of physical and pathological information. This paper summarizes the in vivo applications of NGs as Biomedical sensors, including in cardiac sensors, respiration sensors, blood pressure sensors, gastrointestinal sensors and bladder sensors.However, there are still many challenges in using NGs as sensors in vivo. For example, how can we minimize and encapsulate the NGs, how can we increase the stability and reliability during long-term detection, and how can we establish a corresponding relationship between the NG’s electrical output and the physiological signals. It is also critical to follow the medical principles more closely in the development of self-powered sensors in the future. We believe that the self-powered sensors would promote the development of the next-generation healthcare monitoring systems.

关键词： Nanogenerator Implantable device Biomedical sensor In vivo

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Biobased polyurethanes for Biomedical applications

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Bioactive Materials 2021年第4期6卷 1083-1106页

作者： Sophie Wendels Luc Av´erous BioTeam/ICPEES-ECPM UMR CNRS 7515Universit´e de Strasbourg25 Rue Becquerel67087Strasbourg Cedex 2France

Polyurethanes(PUs)are a major family of polymers displaying a wide spectrum of physico-chemical,mechanical and structural properties for a large range of fields.They have shown suitable for Biomedical applications and are used in this domain since decades.The current variety of biomass available has extended the diversity of starting materials for the elaboration of new biobased macromolecular architectures,allowing the development of biobased PUs with advanced properties such as controlled biotic and abiotic degradation.In this frame,new tunable Biomedical devices have been successfully designed.PU structures with precise tissue biomimicking can be obtained and are adequate for adhesion,proliferation and differentiation of many cell’s types.Moreover,new smart shape-memory PUs with adjustable shape-recovery properties have demonstrated promising results for Biomedical applications such as wound healing.The fossil-based starting materials substitution for Biomedical implants is slowly improving,nonetheless better renewable contents need to be achieved for most PUs to obtain biobased certifications.After a presentation of some PU generalities and an understanding of a biomaterial structure-biocompatibility relationship,recent developments of biobased PUs for non-implantable devices as well as short-and long-term implants are described in detail in this review and compared to more conventional PU structures.

关键词： Polyurethanes Biobased Biomedical Bioactive Tissue engineering Biocompatibility Scaffold

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