Article
Computer Science, Information Systems
Sihao Zhao, Xiao-Ping Zhang, Xiaowei Cui, Mingquan Lu
Summary: This article introduces a new closed-form dual-system localization method that optimizes positioning accuracy by converting a nonlinear problem into a linear one and using weighted least-squares. Numerical results show that the new method has lower computational complexity and comparable positioning accuracy, outperforming the state-of-the-art closed-form method.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Chemistry, Physical
Shirin Mollazadeh, Amirhossein Sahebkar, Mohsen Shahlaei, Sajad Moradi
Summary: The therapeutic efficacy of drugs, particularly hydrophobic anticancer agents, can be significantly enhanced through advanced nanoplatforms. Modification of nanoparticles with polymers and chemical functional groups has gained increasing interest for improving pharmacokinetic properties, reducing toxicity, and enhancing targeted drug delivery. Molecular dynamic simulation is a valuable computational method for understanding the behavior and structural changes of nanoparticles, although theoretical limitations exist. Simulation of nano drug delivery systems has proven effective in interpreting experimental findings and predicting material selection for experimental conditions.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Chemistry, Physical
Weixu Yang, Xiaoli Wang, Ping Chen, Xiaoxi Qiao
Summary: This study establishes a numerical model to investigate the contact behavior between a smooth sphere and a nanoscale rough surface with viscoelastic materials. The research shows that viscoelasticity significantly increases the maximum contact area and pull-off force at low approach speeds, but can be ignored at high speeds. Additionally, the variations of maximum contact area and pull-off force are not consistent with contact position and surface parameters.
APPLIED SURFACE SCIENCE
(2022)
Review
Engineering, Environmental
Qinyi Zhang, Qiuhua Luo, Zimeng Liu, Mengchi Sun, Xiao Dong
Summary: Reactive oxygen species (ROS)-based dynamic cancer therapies involve the generation of ROS within tumors in response to endogenous or exogenous stimuli. These therapies, including PDT, SDT, RDT, EDT, CDT, and MDT, have shown promising results in promoting tumor regression. However, challenges such as limited supply of stimuli, potential toxicity, and poor outcome in deep solid tumors hinder their widespread use. The development of nanotechnology-assisted dynamic therapies has enabled targeted and safe ROS production, providing a potential solution to these obstacles. This review highlights the mechanisms, clinical status, and recent advances in nanotechnology-assisted dynamic therapies for cancer treatment, discussing their advantages, challenges, and prospects.
CHEMICAL ENGINEERING JOURNAL
(2023)
Review
Pharmacology & Pharmacy
Huan Zhang, Jie Yang, Rongze Sun, Songren Han, Zhaogang Yang, Lesheng Teng
Summary: In recent years, microfluidic technology has provided unique opportunities for the production of nano drug delivery systems (NDDSs) due to the miniaturization of the fluidic environment. Microfluidics improves the controllability and uniformity of NDDSs, resulting in narrow particle size distribution and high drug-loading capacity. This review comprehensively summarizes the fundamentals, synthesis, and industrialization of microfluidics-based NDDSs, and discusses the challenges and prospects for future development.
ACTA PHARMACEUTICA SINICA B
(2023)
Article
Mechanics
J. S. Keeler, D. A. Lockerby, S. Kumar, J. E. Sprittles
Summary: This article investigates the problem of the moving contact line between a fluid, liquid, and solid. It determines the maximum speed at which a liquid can wet/dewet a solid by calculating steady solutions and finding the critical capillary number. The article also explores the significance of unstable solutions on transient behavior and how they affect the eventual dynamical outcomes.
JOURNAL OF FLUID MECHANICS
(2022)
Article
Engineering, Marine
Seongpil Cho, Hyungwon Shim, Young-Shik Kim
Summary: The conventional PD control algorithm with gain scheduling is commonly used in dynamic positioning systems, but it makes the system more complex. The sliding-mode control algorithm can control any point on a floating production storage and offloading vessel, taking into account the uncertainty of vessel dynamics, environmental disturbances, and transient performance.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Taavi Laadung, Sander Ulp, Muhammad Mahtab Alam, Yannick Le Moullec
Summary: This paper proposes two new active-passive two-way ranging methods, which can improve the accuracy of distance estimation and the air time efficiency by using different numbers of different types of anchors.
IEEE SENSORS JOURNAL
(2022)
Article
Automation & Control Systems
Miltiadis Kalikatzarakis, Andrea Coraddu, Luca Oneto, Davide Anguita
Summary: Marine dynamic positioning (DP) systems are crucial for maintaining vessel position and heading in offshore operations. Optimal thrust allocation can significantly reduce fuel consumption, and current methods can solve this problem in near real-time.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Yeye Liu, Xiaogong Lin, Kun Liang
Summary: This paper addresses the problem of dynamic safety constraint for the DP ship under model uncertainties and unknown environmental disturbances. A new constraint technique based on the unified barrier function is used to convert the constrained system into an equivalent non-constrained one. The position and velocity of the ship are kept within the given constraints by blending the new coordinate transformation into backstepping design. A bio-inspired neurodynamics model is developed to solve the explosion problem of the virtual control law, and a sliding mode disturbance observer is introduced to estimate the uncertainties and disturbances. Numerical simulations demonstrate the effectiveness of the proposed controller and observer.
Review
Engineering, Marine
Fang Wang, Liang Zhao, Yong Bai
Summary: This paper proposes a methodology for reliability and risk analysis in the context of offshore dynamic positioning (DP) operations. It discusses two typical DP operation contexts and assesses various reliability analysis methodologies applicable to DP systems, including Failure Mode and Effects Analysis (FMEA), fault tree analysis, Markov models, and Bayesian networks. The paper concludes with a discussion of future research directions and challenges in DP operations.
SHIPS AND OFFSHORE STRUCTURES
(2023)
Article
Environmental Sciences
Tianrui Liao, Kaoru Hirota, Xiangdong Wu, Shuai Shao, Yaping Dai
Summary: A dynamic self-tuning maximum correntropy Kalman filter (DSTMCKF) is proposed to improve the accuracy of positioning in wireless sensors networks (WSNs). By adjusting the noise covariance matrices, the DSTMCKF is able to handle non-Gaussian noise (NGN) effectively. In comparison with other filters, the DSTMCKF exhibits the highest accuracy in real-world environment positioning experiments.
Article
Engineering, Marine
Tarannom Parhizkar, Ingrid Bouwer Utne, Jan Erik Vinnem, Ali Mosleh
Summary: The paper proposes a method for dynamic probabilistic risk assessment of decision-making in emergencies for complex marine systems, utilizing a dynamic event sequence diagram to quantify event probabilities while considering interdependencies and uncertainties. The method also takes into account the effects of time required and time available for decision-making in emergencies, utilizing probabilistic models including Bayesian network and Monte Carlo simulation to quantify the uncertain behavior of decision-making process in complex marine systems. Computational study results show that the proposed approach can achieve optimal solutions for large and practical problem sizes.
Review
Entomology
Yisheng Zhao, Mingyuan Fan, Hu Li, Wanzhi Cai
Summary: This study conducted a taxonomic review of Chinese Triatominae, describing two new species and calculating genetic distances. It aims to facilitate the identification of Chinese kissing bugs.
Article
Engineering, Marine
M. Martelli, N. Faggioni, S. Donnarumma
Summary: This paper presents a procedure for designing a Dynamic Positioning system and evaluating its performance using a dynamic approach. The proposed procedure provides results in a novelty manner, named Time-domain Dynamic Positioning Capability Plots, which were obtained by a model-based design approach using a ship's dynamic simulator. The comparison between static capability plots and the capability plots obtained by several dynamic simulations has been provided, presented, and discussed.
Article
Chemistry, Multidisciplinary
Santiago Rodriguez-Jimenez, Hongwei Song, Erwin Lam, Demelza Wright, Andrea Pannwitz, Shannon A. Bonke, Jeremy J. Baumberg, Sylvestre Bonnet, Leif Hammarstrom, Erwin Reisner
Summary: This study demonstrates the use of self-assembled amphiphilic photosensitizers and catalysts in lipid membranes for photocatalytic CO2 reduction. Membrane-anchored alkylated cobalt porphyrin shows higher catalytic activity and selectivity compared to its water-soluble counterpart. Self-assembly increases the charge separation state lifetime and enhances the electron transfer to the catalyst.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2022)
Article
Multidisciplinary Sciences
Ermanno Miele, Wesley M. Dose, Ilya Manyakin, Michael H. Frosz, Zachary Ruff, Michael F. L. De Volder, Clare P. Grey, Jeremy J. Baumberg, Tijmen G. Euser
Summary: New analytical tools are urgently needed to identify chemical degradation and failure mechanisms in Li-ion batteries. In this study, an operando Raman spectroscopy method based on hollow-core optical fibres was developed to monitor the chemistry of liquid electrolytes during battery cycling. Analysis of spectroscopy measurements revealed changes in electrolyte additives and solvents ratio with respect to cell voltage, indicating the potential to track lithium-ion solvation dynamics.
NATURE COMMUNICATIONS
(2022)
Article
Materials Science, Multidisciplinary
Aoife Gregg, Michael F. L. De Volder, Jeremy J. Baumberg
Summary: Over the years, researchers have developed functional hydrogels that can respond to various mechanical and chemical stimuli with a volume change of more than 100%. However, the practical applications of traditional hydrogels are limited by their inability to transform isotropic swelling/contraction into useful deformations, as well as their slow response times. To address these challenges, the researchers combined the widely used temperature-responsive polymer PNIPAM with carbon nanotubes (CNTs) to create a hydrogel with enhanced properties.
ADVANCED OPTICAL MATERIALS
(2022)
Correction
Optics
Rohit Chikkaraddy, Angelos Xomalis, Lukas A. Jakob, Jeremy J. Baumberg
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Nanoscience & Nanotechnology
Javier Redolat, Maria Camarena-Perez, Amadeu Griol, Miroslavna Kovylina, Angelos Xomalis, Jeremy J. Baumberg, Alejandro Martinez, Elena Pinilla-Cienfuegos
Summary: Controlled integration of metallic nanoparticles onto photonic nanostructures enables the realization of complex devices for extreme light confinement and enhanced light-matter interaction. A methodology for precise transfer and positioning of individual nanoparticles onto different photonic nanostructures is presented, using soft lithography printing. Raman spectroscopy confirms enhanced light-matter interactions in the resulting nanophotonic devices.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Nanoscience & Nanotechnology
Rohit Chikkaraddy, Junyang Huang, Dean Kos, Eoin Elliott, Marlous Kamp, Chenyang Guo, Jeremy J. Baumberg, Bart de Nijs
Summary: Plasmonic nanoantennas can focus light at nanometer length scales, resulting in intense field enhancements. The tightest optical confinements achieved in plasmonic gaps depend on the gap spacing, refractive index, and facet width, making antenna shape tuning challenging. However, by controlling the surrounding refractive index, efficient frequency tuning and enhanced in-/output coupling can be achieved through retardation matching, enabling dark modes to become optically active and improving various functionalities.
Article
Chemistry, Multidisciplinary
Raphael P. B. Jacquat, Georg Krainer, Quentin A. E. Peter, Ali Nawaz Babar, Oliver Vanderpoorten, Catherine K. Xu, Timothy J. Welsh, Clemens F. Kaminski, Ulrich F. Keyser, Jeremy J. Baumberg, Tuomas P. J. Knowles
Summary: This paper presents an approach called nanocavity diffusional sizing (NDS) that relies on nanocavity confinement to measure the size of nanoscale particles and single biomolecules in solution. It uses particle residence times within nanofluidic cavities to determine their hydrodynamic radii. Experimental results show that the residence times scale linearly with the sizes of nanoscale colloids, protein aggregates, and single DNA oligonucleotides. NDS offers a new optofluidic approach for rapid and quantitative sizing of nanoscale particles with potential applications in nanobiotechnology, biophysics, and clinical diagnostics.
Article
Chemistry, Physical
Alex Poppe, Jack Griffiths, Shu Hu, Jeremy J. Baumberg, Margarita Osadchy, Stuart Gibson, Bart de Nijs
Summary: Atomic-scale features play crucial roles in metal-molecule interactions and have significant implications in various applications. However, studying these interactions is challenging due to the small size and transient nature of atomic-scale structures. In this study, we combine single-molecule surface-enhanced Raman spectroscopy with machine learning to extract spectra of perturbed molecules and investigate the formation dynamics of adatoms on metal surfaces. This approach provides unique insights into atomic-scale processes and helps us understand how metallic protrusions form and interact with nearby molecules. Our technique opens new possibilities for controlling metal-molecule interactions at an atomic level and contributes to rational heterogeneous catalyst design.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Chemistry, Multidisciplinary
Sara Rocchetti, Alexander Ohmann, Rohit Chikkaraddy, Gyeongwon Kang, Ulrich F. Keyser, Jeremy J. Baumberg
Summary: Developing highly enhanced plasmonic nanocavities allows direct observation of light-matter interactions at the nanoscale. With DNA origami, precise nanopositioning of single-quantum emitters in ultranarrow plasmonic gaps enables detailed study of their modified light emission. By developing nanoparticle-on-mirror constructs with DNA nanostructures as reliable and customizable spacers for nanoparticle binding, it is revealed that the traditional understanding of Purcell-enhanced molecular dye emission is misleading, and the enhanced dipolar dye polarizability greatly amplifies optical forces acting on the facet Au atoms, causing their rapid destabilization. Different dyes exhibit emission spectra dominated by inelastic (Raman) scattering rather than fluorescence, challenging the conventional theories in the field of quantum optics using plasmonics.
Article
Optics
Rohit Chikkaraddy, Rakesh Arul, Lukas A. Jakob, Jeremy J. Baumberg
Summary: This study proposes a method for detecting molecular vibrations in the mid-infrared range at room temperature. By assembling molecules into a plasmonic nanocavity resonant at both mid-infrared and visible wavelengths, and optically pumping them below the electronic absorption band, successful conversion of mid-infrared light and observation of enhanced visible luminescence were achieved.
Article
Chemistry, Multidisciplinary
Aoife Gregg, Michael De Volder, Jeremy J. Baumberg
Summary: Light-responsive microactuators composed of carbon nanotube and hydrogel composites exhibit efficient radiative heating capture and fast response time. The kinetics of these microactuators are limited by polymer diffusion. Additionally, these actuators have potential applications as microswimmers.
Article
Chemistry, Multidisciplinary
Marika Niihori, Tamas Foeldes, Charlie A. Readman, Rakesh Arul, David-Benjamin Grys, Bart de Nijs, Edina Rosta, Jeremy J. Baumberg
Summary: This study demonstrates the sensing of neurotransmitters at nm concentrations using self-assembled monolayers of plasmonic Au nanoparticles. By integrating Fe(III) sensitizers into nanogaps, enhanced surface-enhanced Raman spectroscopy is achieved for dopamine sensing. The transparent glass substrates allow for repeated sensing in different analytes.
Article
Chemistry, Multidisciplinary
David-Benjamin Grys, Marika Niihori, Rakesh Arul, Sarah May Sibug-Torres, Elle W. Wyatt, Bart de Nijs, Jeremy J. Baumberg
Summary: We demonstrate reliable creation of multiple layers of Au nanoparticles in random close-packed arrays with sub-nm gaps as a sensitive surface-enhanced Raman scattering substrate. The nanogaps can be precisely controlled below 1 nm by removing and replacing the original molecules with scaffolding ligands using oxygen plasma etching. The resulting high-performance fluidic sensing cells allow cyclic cleaning and reusing of the films for various analytes.
Article
Optics
Angelos Xomalis, Jeremy J. Baumberg
Summary: In this article, a multichannel lock-in vibrational spectroscopy method is reported, which utilizes acousto-optic modulators to convert nanosecond periodic temporal perturbations into spatially distinct spectra. By projecting the perturbed and reference spectra onto different locations of the spectrometer image, they can be simultaneously resolved. This multichannel time-resolved technique is applied to detect molecular frequency upconversion in plasmonic nanocavities through perturbed Raman scattering at different wavelengths. The phase-sensitive detection scheme can be applied to any spectroscopy within the visible and near-infrared wavelength ranges.
Article
Nanoscience & Nanotechnology
Wei-Hsin Chen, Wenting Wang, Qianqi Lin, David-Benjamin Grys, Marika Niihori, Junyang Huang, Shu Hu, Bart de Nijs, Oren A. Scherman, Jeremy J. Baumberg
Summary: A liquid-based surface-enhanced Raman spectroscopy assay, called PSALM, has been developed for the selective detection of neurotransmitters (NTs) in urine with a detection limit below the physiological range. This assay involves quick and simple mix-and-measure protocols with nanoparticles (NPs), where Fe-III bridges NTs and gold NPs in sensing hotspots. The optimized PSALM allows long-term monitoring of NT variation in urine, enabling the development of NTs as predictive or correlative biomarkers for clinical diagnosis.
ACS NANOSCIENCE AU
(2023)