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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 ***-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 *** novel feature has projected degradable metallic micromotors for active in vivo drug delivery *** addition,understanding the degradation mechanism of these micromotors is also a key parameter for their design and *** propulsion efficiency and life span govern the overall performance of a degradable metallic *** we review the design and recent advancements of metallic degradable ***,we describe the controlled degradation,efficient in vivo drug delivery,and built-in acid neutralization capabilities of degradable micromotors with versatile biomedical ***,we discuss micromotors’efficacy in detecting and destroying environmental ***,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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Nano-enhanced solid-state hydrogen storage:Balancing discovery and pragmatism for future energy solutions

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Nano Research 2024年第10期17卷 8729-8753页

作者： Chaochao Dun Xinyi Wang Linfeng chen Sichi Li Hanna M.Breunig jeffrey j.Urban The Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyBerkeleyCA 94720USA Energy Analysis and Environmental Impacts Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Lawrence Livermore National Laboratory LivermoreCA 94550USA

Nanomaterials have revolutionized the battery industry by enhancing energy storage capacities and charging speeds,and their application in hydrogen(H_(2))storage likewise holds strong potential,though with distinct challenges and mechanisms.H_(2) is a crucial future zero-carbon energy vector given its high gravimetric energy density,which far exceeds that of liquid ***,its low volumetric energy density in gaseous form currently requires storage under high pressure or at low *** review critically examines the current and prospective landscapes of solid-state H_(2) storage technologies,with a focus on pragmatic integration of advanced materials such as metal-organic frameworks(MOFs),magnesium-based hybrids,and novel sorbents into future energy *** materials,enhanced by nanotechnology,could significantly improve the efficiency and capacity of H_(2) storage systems by optimizing H_(2) adsorption at the nanoscale and improving the kinetics of H_(2) uptake and *** discuss various H_(2) storage mechanisms—physisorption,chemisorption,and the Kubas interaction—analyzing their impact on the energy efficiency and scalability of storage *** review also addresses the potential of“smart MOFs”,single-atom catalyst-doped metal hydrides,MXenes and entropy-driven alloys to enhance the performance and broaden the application range of H_(2) storage systems,stressing the need for innovative materials and system integration to satisfy future energy ***-throughput screening,combined with machine learning algorithms,is noted as a promising approach to identify patterns and predict the behavior of novel materials under various conditions,significantly reducing the time and cost associated with experimental *** closing,we discuss the increasing involvement of various companies in solid-state H_(2) storage,particularly in prototype vehicles,from a techno-economic *** forward-looking perspective underscores t

关键词： nanomaterials nanotechnology solid-state H_(2)storage techno-economic analysis model-driven material development processes

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Role of aminopeptidase N-like in the acquisition of begomoviruses by Bemisia tabaci,the whitefly vector

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Insect Science 2024年第3期31卷 707-719页

作者： Yun-Yun Fan Yao Chi Na chen Wilmer j.Cuellar Xiao-Wei Wang Ministry of Agriculture Key Lab of Molecular Biology of Crop pathogens and Insects Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang ProvinceInstitute of Insect SciencesZhejiang UniversityHangzhouChina Zhejiang Tianmushan National Nature Reserve Administration HangzhouChina Institute of plant protection Liaoning Academy of Agricultural SciencesShenyangChina Virology Laboratory Cassava ProgramInternational Center for Tropical Agriculture(CIAT)PalmiraColombia

Sri Lankan cassava mosaic virus(SLCMV)is a prominent causative agent of cassava mosaic disease in Asia and relies on the whitefly Bemisia tabaci cryptic complex for its ***,the molecular mechanisms involved in SLCMV transmission by *** have yet to be *** this study,we identified an aminopeptidase N-like protein(BtApN)in *** Asia II 1,an efficient vector of SLCMV,which is involved in the SLCMV transmission *** the use of glutathione S-transferase pull-down assay and LC-MS/MS analysis,we demonstrated the interaction between BtApN and the coat protein(Cp)of *** interaction was further confirmed in vitro,and we observed an induction of BtApN gene expression following SLCMV *** interfering with the function of BtApN,the quantities of SLCMV were significantly reduced in various parts of *** Asia II 1,including the whole body,midgut,hemolymph,and primary salivary ***,we discovered that BtApN is conserved in *** Middle East-Asia Minor 1(MEAM1)and interacts with the Cp of tomato yellow leaf curl virus(TYLCV),a begomovirus known to cause severe damage to tomato *** BtApN with antibody led to a significant reduction in the quantities of TYLCV in whitefly whole body and organs/*** results demonstrate that BtApN plays a generic role in interacting with the Cp of begomoviruses and positively regulates their acquisition by the whitefly.

关键词： BtApN coat protein SLCMV TYLCV virus acquisition whitefly

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Statistical evaluation of 571 GaAs quantum point contact transistors showing the 0.7 anomaly in quantized conductance using cryogenic on-chip multiplexing

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Chip 2024年第3期3卷 21-28页

作者： pengcheng Ma Kaveh Delfanazari Reuben K.puddy jiahui Li Moda Cao Teng Yi jonathan p.Griffiths Harvey E.Beere David A.Ritchie Michael j.Kelly charles G.Smith Cavendish Laboratory Department of PhysicsUniversity of CambridgeCambridge CB30HEUK james Watt School of Engineering University of GlasgowGlasgow G128QQUK Electrical Engineering Division University of CambridgeCambridge CB30FAUK

Themass production and the practical number of cryogenic quantum devices producible in a single chip are limited to the number of electrical contact pads and wiring of the cryostat or dilution *** is,therefore,beneficial to contrast themeasurements of hundreds of devices fabricated in a single chip in one cooldown process to promote the scalability,integrability,reliability,and reproducibility of quantum devices and to save evaluation time,cost and ***,we used a cryogenic on-chip multiplexer architecture and investigated the statistics of the 0.7 anomaly observed on the first three plateaus of the quantized conductance of semiconductor quantum point contact(QpC)*** single chips contain 256 split gate field-effect QpC transistors(QFET)each,with two 16-branch multiplexed source-drain and gate pads,allowing individual transistors to be selected,addressed and controlled through an electrostatic gate voltage process.A total of 1280 quantum transistors with nano-scale dimensions are patterned in 5 different chips of GaAs *** the measurements of 571 functioning QFETs taken at temperatures T[1.4 K and T[40 mK,it is found that the spontaneous polarisation model and Kondo effect do not fit our ***,some of the features in our data largely agreed with van Hove model with short-range *** approach provides further insight into the quantum mechanical properties and microscopic origin of the 0.7 anomaly in QFETs,paving the way for the development of semiconducting quantum circuits and integrated cryogenic electronics,for scalable quantum logic control,readout,synthesis,and processing applications.

关键词： Cryogenic chip Cryogenic quantum multiplexer Semi-conductor quantum integrated circuit Quantumﬁeld effect transistors Quantum point contacts Chip-scale cryogenic electronics

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Siliceous mesocellular foam supported Cu catalysts for promoting non-thermal plasma activated CO_(2) hydrogenation toward methanol synthesis

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Frontiers of Chemical Science and Engineering 2024年第7期18卷 55-65页

作者： Yi chen Shaowei chen Yan Shao Cui Quan Ningbo Gao Xiaolei Fan Huanhao chen State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringNanjing Tech UniversityNanjing 211816China School of Environmental Science and Engineering Nanjing Tech UniversityNanjing 211816China School of Energy and power Engineering Xi’an Jiaotong UniversityXi’an 710049China Department of Chemical Engineering School of EngineeringThe University of ManchesterManchester M139PLUK Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute University of Nottingham Ningbo ChinaNingbo 315048China Institute of Wenzhou Zhejiang UniversityWenzhou 325006China

Electrified non-thermal plasma (NTp) catalytic hydrogenation is the promising alternative to the thermal counterparts, being able to be operated under mild conditions and compatible with green electricity/hydrogen. Rational design of the catalysts for such NTp-catalytic systems is one of the keys to improve the process efficiency. Here, we present the development of siliceous mesocellular foam (MCF) supported Cu catalysts for NTp-catalytic CO_(2) hydrogenation to methanol. The findings show that the pristine MCF support with high specific surface area and large mesopore of 784 m2·g−1 and ~8.5 nm could promote the plasma discharging and the diffusion of species through its framework, outperforming other control porous materials (viz., silicalite-1, SiO_(2), and SBA-15). Compared to the NTp system employing the bare MCF, the inclusion of Cu and Zn in MCF (i.e., Cu1Zn1/MCF) promoted the methanol formation of the NTp-catalytic system with a higher space-time yield of methanol at ~275 μmol·g_(cat)^(−1)·h^(−1) and a lower energy consumption of 26.4 kj^(−1)·mmol_(CH_(3)OH)^(-1) (conversely, ~225 μmol·g_(cat)^(−1)·h^(−1) and ~71 kj^(−1)·mmol_(CH_(3)OH)^(-1), respectively, for the bare MCF system at 10.1 kV). The findings suggest that inclusion of active metal sites (especially Zn species) could stabilize the CO_(2)/CO-related intermediates to facilitate the surface reaction toward methanol formation.

关键词： non-thermal plasma(NTp)catalysis Cu catalyst CO_(2)hydrogenation methanol siliceous mesocellular foam(MCF)

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Nanotechnology-based delivery systems to overcome drug resistance in cancer

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Medical Review 2024年第1期4卷 5-30页

作者： Harsh patel jiaxin Li Letao Bo Riddhi Mehta charles R.Ashby Shanzhi Wang Wei Cai Zhe-Sheng chen College of pharmacy and Health Sciences St.John’s UniversityNew YorkNYUSA School of pharmaceutical Sciences Hunan University of MedicineHuaihuaHunan ProvinceChina St.john’s College of Liberal Arts and Sciences St.John’s UniversityNew YorkNYUSA School of pharmaceutical Sciences Hunan University of MedicineNo.492 Jinxi South RoadHuaihua41800Hunan ProvinceChina College of pharmacy and Health Sciences St.John’s UniversityNo.8000 Utopia ParkwayQueensNew YorkNY 11439USA

Cancer nanomedicine is defined as the application of nanotechnology and nanomaterials for the formulation of cancer therapeutics that can overcome the impediments and restrictions of traditional *** resistance(MDR)in cancer cells can be defined as a decrease or abrogation in the efficacy of anticancer drugs that have different molecular structures and mechanisms of action and is one of the primary causes of therapeutic *** have been successes in the development of cancer nanomedicine to overcome MDR;however,relatively few of these formulations have been approved by the United States Food and Drug Administration for the treatment of *** is primarily due to the paucity of knowledge about nanotechnology and the fundamental biology of cancer ***,we discuss the advances,types of nanomedicines,and the challenges regarding the translation of in vitro to in vivo results and their relevance to effective therapies.

关键词： nanotechnology multidrug resistance drug delivery systems nanoformulations enhanced permeability and retention effect

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A proton birdcage coil integrated with interchangeable single loops for multi-nuclear MRI/MRS

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journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第2期25卷 168-180页

作者： Yi ZHANG Zhiyan QUAN Feiyang LOU Yujiao FANG Garth j.THOMpSON Gao chen Xiaotong ZHANG Department of Neurosurgery the Second Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou310009China Key Laboratory of precise Treatment and Clinical Translational Research of Neurological Diseases Hangzhou310009China MOE Frontier Science Center for Brain Science and Brain-machine Integration Zhejiang UniversityHangzhou310058China Interdisciplinary Institute of Neuroscience and Technology College of Biomedical Engineering&Instrument ScienceZhejiang UniversityHangzhou310027China School of Medicine Zhejiang UniversityHangzhou310020China iHuman Institute School of Life Science and TechnologyShanghaiTech UniversityShanghai201210China College of Electrical Engineering Zhejiang UniversityHangzhou310027China

Energy metabolism is fundamental for *** encompasses the utilization of carbohydrates,lipids,and proteins for internal processes,while aberrant energy metabolism is implicated in many *** the present study,using three-dimensional(3D)printing from polycarbonate via fused deposition modeling,we propose a multi-nuclear radiofrequency(RF)coil design with integrated 1H birdcage and interchangeable X-nuclei(^(2)H,^(13)C,^(23)Na,and^(31)p)single-loop coils for magnetic resonance imaging(MRI)/magnetic resonance spectroscopy(MRS).The single-loop coil for each nucleus attaches to an arc bracket that slides unrestrictedly along the birdcage coil inner surface,enabling convenient switching among various nuclei and animal *** to a commercial 1H birdcage coil,the proposed 1H birdcage coil exhibited superior signal-excitation homogeneity and imaging signal-to-noise ratio(SNR).For X-nuclei study,prominent peaks in spectroscopy for phantom solutions showed excellent SNR,and the static and dynamic peaks of in vivo spectroscopy validated the efficacy of the coil design in structural imaging and energy metabolism detection simultaneously.

关键词： Energy metabolism Magnetic resonance imaging(MRI) Magnetic resonance spectroscopy(MRS) Multi-nuclear Radiofrequency coil Three-dimensional(3D)printing

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Impact of COVID-19 on Safety performance for Motorcycles: pre-and during-pandemic Conditions

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journal of Transportation Technologies 2024年第3期14卷 390-401页

作者： Hongyun chen Amelia Lawson charles Hurda Madalyn Smith Tate Grant Civil Engineering Department Embry-Riddle Aeronautical University Daytona Beach FL USA

Florida has the highest number of motorcycle fatalities in the United States and contains the second largest population of registered motorcycles. The COVID-19 pandemic influenced the roads, traffic, and driving behavior in the continental United States. Motorcycle crashes decreased during the COVID-19 years (2020 and 2021) while the fatality rates increased. The purpose of this study is to 1) investigate motorcycle crashes before and during the pandemic period to understand the impacts on motorcycle safety and contributing factors to the crash severity levels;2) develop the crash predictive model for different degrees of severity in motorcycle crashes in Florida. Florida statewide crash data were collected. T tests have been conducted to compare the contributing factors between two periods. The injury severities are significantly different among all five levels between those during normal period and the pandemic period. A crash predictive model has been developed to determine the facts to injury severity levels for motorcycle crashes. A total of eight variables are found to significantly increase the injury severity levels for motorcycle crashes during the pandemic period.

关键词： Motorcycle Crash pandemic Injury Severity Contributing Factors

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Vibration-assisted vat photopolymerization for pixelated-aliasing-free surface fabrication

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International journal of Extreme Manufacturing 2024年第3期6卷 440-456页

作者： Han Xu Renzhi Hu Shuai chen junhong Zhu Chi Zhou Yong chen Center for Advanced Manufacturing University of Southern CaliforniaLos AngelesCA 90007United States of America Daniel j.Epstein Department of Industrial and Systems Engineering University of Southern CaliforniaLos AngelesCA 90089United States of America Department of Aerospace and Mechanical Engineering University of Southern CaliforniaLos AngelesCA 90089United States of America Department of Industrial and Systems Engineering University of BuffaloBuffaloNY 14260United States of America

Mask image projection-based vat photopolymerization(MIp-Vpp)offers advantages like low cost,high resolution,and a wide material range,making it popular in industry and ***,MIp-Vpp employing liquid crystal displays(LCDs)has gained traction,increasingly replacing digital micromirror devices,particularly among hobbyists and in educational settings,and is now beginning to be used in industrial ***,LCD-based MIp-Vppsuffers from pronounced pixelated aliasing arising from LCD’s discrete image pixels and itsdirect-contact configuration in MIp-Vpp machines,leading to rough surfaces on the 3D-printed ***,we propose a vibration-assisted MIp-Vpp method that utilizes a microscalevibration to uniformize the light intensity distribution of the LCD-based mask image on Vpp’s building *** maintaining the same fabrication speed,our technique generates asmoother,non-pixelated mask image,reducing the roughness on flat surfaces and boundary segments of 3D-printed *** light intensity modeling and simulation,we derived an optimal vibration pattern for LCD mask images,subsequently validated by *** assessed the surface texture,boundary integrity,and dimensional accuracy of componentsproduced using the vibration-assisted *** notably smoother surfaces and improved boundary roughness enhance the printing quality of MIp-Vpp,enabling its promisingapplications in sectors like the production of 3D-printed optical devices and others.

关键词： additive manufacturing vat photopolymerization piezo vibration sub-pixel resolution aliasing

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Evaluating performance of Different RNA Secondary Structure prediction programs Using Self-cleaving Ribozymes

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Genomics, proteomics & Bioinformatics 2024年第3期22卷 29-41页

作者： Fei Qi junjie chen Yue chen jianfeng Sun Yiting Lin Zipeng chen philipp Kapranov State Key Laboratory of Cellular Stress Biology School of Life SciencesFaculty of Medicine and Life SciencesXiamen UniversityXiamen 361102China Institute of Genomics School of MedicineHuaqiao UniversityXiamen 361021China Botnar Research Centre University of OxfordOxfordOX37LDUnited Kingdom

Accurate identification of the correct,biologically relevant RNA structures is critical to understanding various aspects of RNA biology since proper folding represents the key to the functionality of all types of RNA molecules and plays pivotal roles in many essential biological ***,a plethora of approaches have been developed to predict,identify,or solve RNA structures based on various computational,molecular,genetic,chemical,or physicochemical *** computational approaches hold distinct advantages over all other strategies in terms of the ease of implementation,time,speed,cost,and throughput,but they strongly underperform in terms of accuracy that significantly limits their broader ***,the advantages of these methods led to a steady development of multiple in silico RNA secondary structure prediction approaches including recent deep learning-based ***,we compared the accuracy of predictions of biologically relevant secondary structures of dozens of self-cleaving ribozyme sequences using seven in silico RNA folding prediction tools with tasks of varying *** found that while many programs performed well in relatively simple tasks,their performance varied significantly in more complex RNA folding ***,in general,a modern deep learning method outperformed the other programs in the complex tasks in predicting the RNA secondary structures,at least based on the specific class of sequences tested,suggesting that it may represent the future of RNA structure prediction algorithms.

关键词： RNA secondary structure RNA secondary structure prediction Ribozyme Deep learning pseudoknot

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