Novel nano polymeric system containing biosynthesized core shell silver/silica nanoparticles for functionalization of cellulosic based material

An innovative strategy for functional finishing of cellulosic based materials is based on the incorporation of a thin layer of surface modifying systems (SMS) in the form of stimuli-sensitive nanogels containing combining metal nanoparticles and silica. The silver–silica core–shell nanoparticles (NPs) were synthesized by simple one pot chemical method. Silica/silver nanoparticles have been synthesized using low concentration of dextran as reducing and stabilizing agent and using ascorbic acid as antioxidant agent. The core–shell NPs were characterized for their structural, morphological, compositional and optical behaviour using X-ray diffraction, scanning electron microscopy and energy dispersive X-ray analysis. Stimuli-responsive nanogel was prepared by copolymerization of poly(N-isopropylacrylamide) with pullulan, results in a nanogel that is responsive to both temperature and pH, the nano-particulate hydrogel of poly-NiPAAm-pullulan copolymer was synthesized using surfactant-free emulsion method. The prepared nano-particles were used during the preparation steps of the pullulan nanogel to obtain nanogel/combining metal/silica NPs to produce a composite materials. The nanoparticle size in dry (collapsed) state is estimated at 250 nm by SEM and TEM, and effect of temperature and pH on gel-nanoparticles was investigated by DLS and UV–vis spectrophotometry. The incorporation of the nanoparticles to cellulosic material was done by a simple pad dry-cure procedure from aqueous nanoparticle dispersion that contained a cross-linking agent. This application method provided sufficient integrity to coating by maintaining the responsiveness of surface modifying system. The stimuli responsiveness of modified cellulosic materials has been confirmed in terms of regulating its water uptake in dependence of pH and temperature.     

Cu–Ni nanoalloy phase diagram – Prediction and experiment

The Cu–Ni nanoalloy phase diagram respecting the nanoparticle size as an extra variable was calculated by the CALPHAD method. The samples of the Cu–Ni nanoalloys were prepared by the solvothermal synthesis from metal precursors. The samples were characterized by means of dynamic light scattering (DLS), infrared spectroscopy (IR), inductively coupled plasma optical emission spectroscopy (ICP/OES), transmission electron microscopy (TEM, HRTEM), and differential scanning calorimetry (DSC). The nanoparticle size, chemical composition, and Cu–Ni nanoparticles melting temperature depression were obtained. The experimental temperatures of melting of nanoparticles were in good agreement with the theoretical CALPHAD predictions considering surface energy.     

Gold nanoparticle synthesis in microfluidic systems and immobilisation in microreactors designed for the catalysis of fine organic reactions

Our work is focused on two applications of fine tunable microfluidic systems, first to optimize heterogeneous size nanoparticle synthesis and second to build catalytic microreactors for advanced organic reactions. The first part of our work consists in the use of an original microfluidic setup for gold nanoparticle synthesis, which allows a high control of the reaction parameters as the reactants flow, the concentration, the temperature, and the reaction time. We show that using such microfluidic systems permit a better control of the reaction parameters for producing homodispersed 1–2 nm gold nanoparticle. The second part of our work deals with the incorporation of gold nanoparticles into silica capillaries to build catalytic microreactors dedicated to fine chemical reactions. Our strategy consists in the immobilization of gold nanopadiegolirticles onto the inner surface (2D dispersion) or into the inner volume (3D dispersion) of functionalized silica microcapillaries. Characterizations show that by different functionalization procedures, those gold nanoparticles are well anchored inside the microcapillary.     

纳米铜焊膏烧结互连技术研究现状与展望

纳米铜焊膏在低温烧结后可形成耐高温、高导电导热同质互连结构,该互连结构不仅可避免锡基焊料层和烧结银层服役过程中出现桥接短路和电迁移的可靠性问题,还可解决异质互连结构热膨胀系数不匹配的问题,在集成电路和功率器件封装领域具有重要应用价值。近年来,在铜纳米颗粒稳定性和低温烧结性能方面,纳米铜焊膏烧结互连技术取得了重大研究进展。但与纳米银焊膏烧结互连技术相比,纳米铜焊膏的稳定性、低温烧结性能和可靠性仍有较大提升空间。该文从烧结互连机理、烧结工艺调控、铜纳米颗粒表面改性、纳米铜基复合焊膏、互连可靠性和封装应用方面,阐述了纳米铜焊膏烧结互连技术的最新研究进展,并对后续的技术发展和研究思路进行了展望。     

Thermodynamic model for prediction of binary alloy nanoparticle phase diagram including size dependent surface tension effect

Considering the size effect of nanoparticles on surface tension, a new CALPHAD type thermodynamic model was developed to predict phase diagram of binary alloy nanoparticle systems. In contrast to conventional model, the new model can be applied to the nanoparticles smaller than the critical size (5 NM in radius). For an example, the model applied to Ag – Au binary system and the results were compared with experimental data as well as conventional CALPHAD model and molecular dynamics simulation results.     

A mathematical model for nanoparticle melting with size-dependent latent heat and melt temperature

In this paper, we study the melting of a spherical nanoparticle. The model differs from previous ones in that a number of features have been incorporated to match experimental observations. These include the size dependence of the latent heat and a cooling condition at the boundary (as opposed to the fixed temperature condition used in previous studies). Melt temperature variation and density change are also included. The density variation drives the flow of the outer fluid layer. The latent heat variation is modelled by a new relation, which matches experimental data better than previous models. A novel form of Stefan condition is used to determine the position of the melt front. This condition takes into account the latent heat variation, the energy required to create new surface and the kinetic energy of the displaced fluid layer. Results show that melting times can be significantly faster than predicted by previous theoretical models; for smaller particles, this can be around a factor 3. This is primarily due to the latent heat variation. The previously used fixed temperature boundary condition had two opposing effects on melt times: the implied infinite heat transfer led to faster melting but also artificially magnified the effect of kinetic energy, which slowed down the process. We conclude that any future models of nanoparticle melting must be based on the new Stefan condition and account for latent heat variation.     

Novel ferrofluids coated with a renewable material obtained from cashew nut shell liquid

In this work, we present the synthesis and characterization of a new surfactant molecule obtained from a byproduct of the cashew nut processing (diphosphorylated cardol, DPC). It is herein used to overcoat magnetic nanoparticles showing spinel structures in order to create new ferrofluids. The nanoparticle structure and magnetic properties have been deeply investigated. DPC-functionalized Fe₃O₄ and NiFe₂O₄ samples exhibit higher magnetic saturation than DPC–CoFe₂O₄. These new ferrofluids reveal appealing as possible nanoparticle stabilizing molecules, magnetic resonance imaging agents, storage systems or in any material science field that requires the employment of biocompatible magnetic stable fluids.     

Magnetohydrodynamic three-dimensional flow of nanofluids with slip and thermal radiation over a nonlinear stretching sheet: a numerical study

A numerical simulation for mixed convective three-dimensional slip flow of water-based nanofluids with temperature jump boundary condition is presented. The flow is caused by nonlinear stretching surface. Conservation of energy equation involves the radiation heat flux term. Applied transverse magnetic effect of variable kind is also incorporated. Suitable nonlinear similarity transformations are used to reduce the governing equations into a set of self-similar equations. The subsequent equations are solved numerically by using shooting method. The solutions for the velocity and temperature distributions are computed for several values of flow pertinent parameters. Further, the numerical values for skin-friction coefficients and Nusselt number in respect of different nanoparticles are tabulated. A comparison between our numerical and already existing results has also been made. It is found that the velocity and thermal slip boundary condition showed a significant effect on momentum and thermal boundary layer thickness at the wall. The presence of nanoparticles stabilizes the thermal boundary layer growth.

     

Application of triple-deck theory to the prediction of glaze ice roughness formation on an airfoil leading edge

A viscous–inviscid interaction triple-deck structure is developed to describe the thermomechanical interaction of an air boundary layer with ice sheets and liquid films. Linear stability results are compared with nonlinear triple-deck computations, and a number of nonlinear simulations of air–water–ice interactions are presented. An icing instability is encountered in regimes with simultaneous wall and air cooling that is believed to admit small scale and highly irregular surface roughness. The stabilization of the smallest scale icing disturbances is obtained through the Gibbs–Thomson relation. This local thermodynamic condition relates the freezing temperature of a pure substance to the surface tension and the mean curvature of the interface and provides a short scale stabilizing mechanism for icing instability modes. Comparison with available experimental data on glaze ice roughness diameters, accreted on NACA 0012 airfoil leading edges under glaze icing conditions, is provided. It is also found in all cases computed in this study that water beads can be formed on a wetted ice surface once the water film is locally ruptured by ice roughness elements.     

Applications, techniques, and microfluidic interfacing for nanoscale biosensing

Biosensors based on nanotechnology are rapidly developing and are becoming widespread in the biomedical field and analytical chemistry. For these nanobiosensors to reach their potential, they must be integrated with appropriate packaging techniques, which are usually based on nano/microfluidics. In this review we provide a summary of the latest developments in nanobiosensors with a focus on label-based (fluorescence and nanoparticle) and label-free methods (surface plasmon resonance, micro/nanocantilever, nanowires, and nanopores). An overview on how these sensors interface with nano/microfluidics is then presented and the latest papers in the area summarized.     

Hollow-core polymeric nanoparticles for the enhancement of OLED outcoupling efficiency

This work presents the possibility of the hollow core nanoparticles to improve luminance in an organic light emitting diode device. The finite difference time domain simulation estimates the effect of the hollow core nanoparticles on the external quantum efficiency of the organic light emitting diode device. The efficiency depends on the size and the volume fraction of the hollow core nanoparticles in the polymer layer, together with the refractive index and the thickness of the polymer layer. It is shown that the hollow core nanoparticles dispersed in a polymer layer can enhance the external quantum efficiency by a factor of 2.5. This work also introduces a continuous production method of the hollow core nanoparticles by using the microfluidic self-assembly of amphiphilic polymers and the layer formation dispersed with them for the rigorous light scattering.     

Model-based real-time thermal fault diagnosis of Lithium-ion batteries

Ensuring safety and reliability is a critical objective of advanced Battery Management Systems (BMSs) for Li-ion batteries. In order to achieve this objective, advanced BMS must implement diagnostic algorithms that are capable of diagnosing several battery faults. One set of such critical faults in Li-ion batteries are thermal faults which can be potentially catastrophic. In this paper, a diagnostic algorithm is presented that diagnoses thermal faults in Lithium-ion batteries. The algorithm is based on a two-state thermal model describing the dynamics of the surface and the core temperature of a battery cell. The residual signals for fault detection are generated by nonlinear observers with measured surface temperature and a reconstructed core temperature feedback. Furthermore, an adaptive threshold generator is designed to suppress the effect of modelling uncertainties. The residuals are then compared with these adaptive thresholds to evaluate the occurrence of faults. Simulation and experimental studies are presented to illustrate the effectiveness of the proposed scheme.     

Au-Ni nanoparticles: Phase diagram prediction,synthesis, characterization,and thermal stability

The Au-Ni nanoparticles (NPs) were prepared by oleylamine solvothermal synthesis from metal precursors. The Au-Ni phase diagram prediction respecting the particle size was calculated by the CALPHAD method. The hydrodynamic size of the AuNi NPs in a nonpolar organic solvent was measured by the dynamic light scattering (DLS) method. The average hydrodynamic sizes of the nanoparticle samples were between 18 and 25 nm. The metallic composition of the AuNi NP samples was obtained by inductively-coupled plasma atomic emission spectroscopy (ICP-OES). The metallic fraction inside AuNi NPs was varied Au-(30–70) wt%Ni. The steric alkylamine stabilization was observed. The individual AuNi NPs were investigated by transmission electron microscopy (TEM). The dry nanopowder was also studied. The structures of the aggregated samples were investigated by scanning electron microscopy (SEM). The AuNi NPs reveal randomly mixed face-centered cubic (FCC) crystal lattices. The phase transformations were studied under inert gas and air. The samples were studied by differential scanning calorimetry (DSC).     

Improved drag force model and its application in simulating nanofluid flow

The circumferential distribution of the surrounding particles contribution to the drag force for the reference particle is firstly proposed and analyzed. A new formula for the drag exerted on a given particle under the interaction between particle clouds and fluid is derived. Analysis shows that even for spherical particles with symmetric shape, as the particle dispersion is nonsymmetric and the direction of the particle velocity differs from the reference particle, the direction of the drag and the particle velocity is not parallel; therefore, it increased the complexity of evolution process for the particle concentration. Due to special feature of nanoparticle surface adsorption, this study presents analysis of the radial viscosity distribution in the vicinity of liquid layer for the first time. The increasing in the viscosity of the nanolayer is considered a contributing factor to the viscosity of nanofluids as the experimental result is larger than the theoretical prediction. Considering the effect of multi-particles interaction and the characteristics of liquid layer, the new drag force model is constructed and applied to simulate the nanofluid flow. Comparison is made for computed drag force on particle between the traditional and present models. The trajectory and distribution of the nanoparticles, as well as the velocity contours of the fluid, are presented. The physical meanings of these results have been discussed.     

Mass production of highly monodisperse polymeric nanoparticles by parallel flow focusing system

Nanoparticles can be prepared through nanoprecipitation by mixing polymers dissolved in organic solvents with anti-solvents. However, due to the inability to precisely control the mixing processes during the synthesis of polymeric nanoparticles, its application is limited by a lack of homogeneous physicochemical properties. Here, we report that this obstacle can be overcome through rapid and controlled mixing by parallel flow focusing outside the microfluidic channels. Using the nanoprecipitation of methoxyl poly-(ethylene glycol)–poly-(lactic-co-glycolic acid) (MPEG–PLGA) block copolymers as an example, we prove that our parallel flow focusing method is a robust and predictable approach to synthesize highly monodisperse polymeric nanoparticles, and demonstrate that it improves the production speed of nanoparticles by an order of magnitude or more compared with previous microfluidic systems. Possible aggregation on the surface of PDMS wall and clogging of microchannels reported previously were avoided in the synthesis process of our method. This work is a typical application combining the advantages of microfluidics with nanoparticle technologies, suggesting that microfluidics may find applications in the development and mass production of polymeric nanoparticles with high monodispersity in large-scale industrial production field.     

纳米技术在生物传感器及检测中的应用

纳米生物技术是纳米技术与生物技术交叉渗透形成的新技术,是纳米技术的重要组成部分,也是将来生物医学领域中的一个重要发展方向.纳米颗粒是生物医学中研究最多、应用最广的纳米材料,有着许多独特的性质.本文叙述了近年来国际上以纳米颗粒为基础的纳米技术在生物传感器及生物检测中的研究成果和进展,介绍了纳米颗粒的制备方法,以及它们在纳米生物传感器和纳米生物芯片中的应用,结合纳米病原微生物检测也介绍了我们进行的有关免疫传感器检测细菌的研究成果.最后,对该领域的应用前景进行了展望.     

Molecular dynamics simulation of nanoparticle diffusion in dense fluids

This article deals with a molecular dynamics simulation of the diffusion of nanoparticles in dense gases and liquids using the Rudyak–Krasnolutskii nanoparticle–molecule potential. Interaction of molecules of the carrier fluid is described by the Lennard-Jones potential. The behavior of the nanoparticle velocity autocorrelation function is studied. It is shown by molecular dynamics simulation that the diffusion coefficient of small nanoparticles depends greatly on the nanoparticle material. Relations are obtained between the diffusion coefficient of nanoparticles and the nanoparticle radius and the temperature of the medium. These relations differ from the corresponding Einstein relation for Brownian particles.     

Coatings of indium tin oxide nanoparticles on various flexible polymer substrates: Influence of surface topography and oscillatory bending on electrical properties

Abstract— Coatings of indium tin oxide (ITO) nanoparticles on different flexible polymer substrates were investigated with respect to the achievable sheet resistance and their electrical behavior under oscillatory bending. As substrate materials, polyethyleneterephthalate (PET), polyethylenenaphthalate (PEN), polyetheretherketone (PEEK), and polyimide (PI) were chosen, the surface resistances on the different polymer substrates were compared as a function of annealing temperature and surface topography. The surface topography, which has a strong influence on the surface resistance, was characterized by means of a white‐light confocal (WL‐CF) microscope. On the PET substrate, which exhibits the smoothest surface, the coating of ITO nanoparticles shows the lowest sheet resistance of 2 kΩ/□ for a layer thickness of 3 μm and an annealing temperature of 200°C. Furthermore, the electrical behavior of coatings of ITO nanoparticles under oscillatory bending was investigated using a special device. These coatings show a cyclic change of the conductivity which can be explained by an alternating compression and extension of crack flanks under the applied stress. Due to the growing number of cracks with increasing number of cycles, a decrease of the conductivity is observed in the bent state as well as in the balanced state. For a small bending radii, the decrease of the conductivity is stronger due to more cracks caused by the higher tensile stresses in the layer. The electrical behavior of the coatings of the annealed ITO nanoparticles on PET films under oscillatory bending was compared with commercially available sputtered ITO coatings. The annealed coatings of ITO nanoparticles demonstrate better electrical properties under oscillatory bending than coatings of sputtered ITO. The different electrical behavior under oscillatory bending can be related to differences in crack formation.