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Recent Patents on Nanotechnology - Online First
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Introduction to Memristive Mechanisms and Models
Authors: Davide Cipollini and Lambert SchomakerAvailable online: 24 January 2025More LessThe increase in computational power demand led by the development of Artificial Intelligence is rapidly becoming unsustainable. New paradigms of computation, which potentially differ from digital computation, together with novel hardware architecture and devices, are anticipated to reduce the exorbitant energy demand for data-processing tasks. Memristive systems with resistive switching behavior are under intense research, given their prominent role in the fabrication of memory devices that promise the desired hardware revolution in our intensive data-driven era. They are suggested to provide the hardware substrate to scale up computational capabilities while improving their energy expenditure and speed. This work provides an orientation map for those interested in the vast topic of memristive systems with application to neuromorphic computing. We address the description of the most notable emerging devices and we illustrate models that capture the complex dynamical behavior of these systems under the dynamical-systems framework developed by Chua. We then review the memristive behavior under the perspective of statistical physics and percolation theory suited to describe fluctuations and disorder which are otherwise precluded in the dynamical-system approach. Percolation theory allows the investigation of these systems at the mesoscopic level, enabling material-independent modeling of non-linear conductance networks. We finally discuss recent and less recent successes in deep learning methods that bridge the field of physics-based and biological-inspired neuromorphic computing.
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Development of Stabilized and Aqueous Dissolvable Nanosuspension Encompassing BCS Class IV Drug via Optimization of Process and Formulation Variables
Authors: Surya Goel, Vijay Agarwal and Monika SachdevaAvailable online: 09 January 2025More LessBackgroundNanosuspension has emerged as an effective, lucrative, and unequalled approach for efficiently elevating the dissolution and bioavailability of aqueous soluble drugs. Diverse challenges persist within this domain, demanding further comprehensive investigation and exploration.
ObjectiveThis study aims to design, develop, optimise formulation and process variables, and characterise the stabilised aqueous dissolvable nanosuspension using chlorthalidone as a BCS class-IV drug.
MethodsNanosuspensions of the chlorthalidone drug were prepared using a combination of top-down and bottom-up approaches. Various polymers such as Pluronic L-64, F-68, F-127, and Synperonic F-108 were used as stabilisers in this research. All important processes and formulation variables, such as ultrasonication intensity and time, the concentration of the drug, organic solvent, and stabilisers that may critically influence the characteristics of the nanosuspensions, were optimised. Formulation screening was performed using the optimisation of process and formulation variables, and the optimised nanosuspension formulation was assessed for particle size, PDI, surface charge, morphology, in vitro drug release, and stability.
ResultsTo select an optimised nanosuspension formulation, the effects of formulation and process variables were investigated. These variables critically influence the development of a stabilised nanosuspension. The outcomes revealed that the nanosuspension formulation containing pluronic F-68 as a stabiliser in 0.6% w/v concentration and the drug in 4 mg/ml concentration were optimized. The particle size and zeta potential of the optimised preparation were 110 nm and -27.5 mV, respectively. The in-vitro drug release of chlorthalidone drug from the optimised nanoformulation was increased up to 3-fold, approximately (88% in 90 min) compared with pure chlorthalidone drug (27% in 90 min) because of the decrease in particle size. Moreover, stability studies indicated that the crafted nanoformulation was stable at cold (4°C) as well as normal room temperature (25°C) for six months.
ConclusionFrom the obtained results, it was concluded that the combination of top-down and bottom-up approaches employed for the fabrication of oral nanosuspension is a remunerative and lucrative approach to successfully resolve the perplexities associated with the dissolution rate of poorly aqueous soluble BCS class-IV drug moieties such as chlorthalidone.
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Research on Controllable Synthesis and Growth Mechanism of Sodium Vanadium Fluorophosphate Nanosheets
Authors: Xinran Yuan, Aijun Teng, Tianhao Liu, Yadong Yang, Yanan Xin, Lingling Yong and Dongbin ZhangAvailable online: 07 January 2025More LessBackgroundSodium vanadium fluorophosphate is a sodium ion superconductor material with high sodium ion mobility and excellent cyclic stability, making it a promising cathode material for sodium-ion batteries. However, most of the literature and patents report preparation through traditional methods, which involve complex processes, large particle sizes, and low electronic conductivity, thereby limiting development progress.
ObjectiveAiming at the limitation of high cost and poor performance of vanadium sodium fluorophosphate cathode material, the low temperature and high-efficiency nano preparation technology was developed.
MethodsThis study uses a homogenizer with high dispersion and shear force to directionally control the collision of sodium vanadium fluorophosphate nanoparticles with higher specific surface energy during the initial nucleation stage, forming nanosheet structures.
ResultsThe growth mechanism of these nanosheets was analyzed using SEM, XRD, AFM, and DFT simulation. Results indicate that the crystal surfaces with higher surface energy undergo directional collisions in the early nucleation stage, gradually reducing the surface energy and stabilizing the system, resulting in sodium vanadium fluorophosphate nanosheets.
ConclusionDue to the larger specific surface area and pore structure, these nanosheets exhibit excellent rate performance and cycle stability, making them suitable for application and promotion in the field of fast-charging energy storage.
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Progress on One-dimensional Vanadium Pentoxide-based Nanomaterials for Advanced Energy Storage ANSTEEL Research Institute of Vanadium & Titanium (Iron & Steel), China
By Wei NiAvailable online: 01 January 2025More LessOne-dimensional (1D) vanadium-based nanostructures have advantageous properties and are showing emerging critical applications in the fields of catalysis, smart devices, and electrochemical energy storage. We herein timely gave an overview of the 1D vanadium pentoxide (V2O5)-based nanomaterials for these promising applications, especially regarding the merits of different synthetic methods, structures and properties combined with recent research frontiers in advanced energy storage, including batteries, supercapacitors and like. The high capacity, high rate and flexibility of 1D V2O5-based nanomaterials endow them with great potential in high-energy-density, high-power energy devices and specific/harsh environments. Finally, the directions and suggestions are provided for further development of this emerging and promising field.
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From Solid to Fluid: Novel Approaches in Neuromorphic Engineering
Authors: Daniil Nikitin, Hynek Biederman and Andrei ChoukourovAvailable online: 18 October 2024More LessNeuromorphic engineering is rapidly developing as an approach to mimicking processes in brains using artificial memristors, devices that change conductivity in response to the electrical field (resistive switching effect). Memristor-based neuromorphic systems can overcome the existing problems of slow and energy-inefficient computing that conventional processors face. In the Introduction, the basic principles of memristor operation and its applications are given. The history of switching in sandwich structures and granular metals is reviewed in the Historical Overview. Particular attention is paid to the fundamental articles from the pre-memristor era (the 1960s-70s), which demonstrated the first evidence of resistive switching and predicted the filamentary mechanism of switching. Multi-dimensionality in neuromorphic systems: Despite the powerful computational abilities of traditional memristor arrays, they cannot repeat many organizational characteristics of biological neural networks, i.e., their multi-dimensionality. This part reviews the unconventional nanowire- and nanoparticle-based neuromorphic systems that demonstrate incredible potential for use in reservoir computing due to the unique spiking change in conductance similar to firing in neurons. Liquid-based neuromorphic devices: The transition of neuromorphic systems from solid to liquid state broadens the possibilities for mimicking biological processes. In this section, ionic current memristors are reviewed and, the working principles of which bring us closer to the mechanisms of information transmittance in real synapses. Nanofluids: A novel direction in neuromorphic engineering linked to the application of nanofluids for the formation of reconfigurable nanoparticle networks with memristive properties is given in this section. The Conclusion t summarizes the bullet points of the Review and provides an outlook on the future of liquid-state neuromorphic systems.
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Formulation Optimization and Evaluation of Patented Solid Lipid Nanoparticles of Ambrisentan for Pulmonary Arterial Hypertension
Authors: Harshada Shewale and Abhishek KanugoAvailable online: 01 October 2024More LessBackgroundAmbrisentan is a new endothelin receptor antagonist extensively used to manage pulmonary or pulmonary arterial hypertension.
ObjectiveThe therapeutic efficacy of Ambrisentan is limited due to its reduced solubility, higher log P (3.4), and thus less bioavailability. The recent investigation was concentrated on the improvement of solubility, and bioavailability of Ambrisentan for the therapy of hypertension via solid lipid nanoparticles (SLN) administered orally.
MethodsXRD evaluated the compatibility of Ambrisentan with lipids with FTIR, DSC, and crystalline nature. The SLN was developed by High-pressure homogenization method. The Glyceryl monostearate and Tween 80 indicated the highest solubility, hence selected. The optimization was performed with Box-Behnken Design considering the concentration of GMS (X1), Tween 80 (X2), stirring speed (X3) as independent factors and particle size (Y1), entrapment efficiency (Y2) as dependent factors. The Patents on the SLN are Indian 202321053691, U.S. Patent, 10,973,798B2, U.S. Patent 10,251,960B2, U.S. Patent 2021/0069121A1 and U.S. Patent 2022/0151945A1.
ResultsThe optimized batch F1 showed particle size (130 nm), ZP (-18.9 mV), and entrapment efficiency (85.73%). The dual release pattern (prompt and sustained) was achieved with the SLN-loaded Ambrisentan for about 24 hours. The lyophilized sample was subjected to SEM, which also revealed a spherical shape of a colloidal dispersion with a particle size of 126 nm. Hence, the F1 batch is highly recommended for solid oral delivery and also for the pilot-plant scale-up.
ConclusionA marked improvement in the solubility and dissolution of Ambrisentan was attained with the SLN. Moreover, the sustained delivery via the oral route enabled the patient's comfort, compliance, and therapeutic efficacy.
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