01837nas a2200265 4500008004100000022001400041245010700055210006900162260009500231300001400326490000600340520085700346653002501203653003001228653001301258653002501271653002601296653002501322653002101347653002101368100002001389700001901409700001901428856012401447 2009 eng d a1533-488000aPorous anisotropic metal nanostructures through controlled transmetallation across a dialysis membrane0 aPorous anisotropic metal nanostructures through controlled trans a25650 NORTH LEWIS WAY, STEVENSON RANCH, CA 91381-1439 USAbAMER SCIENTIFIC PUBLISHERScNOV a6401-64080 v93 a

Nanostructured metals with hollow interiors are of technological importance due to their unique optoelectronic properties and enhanced surface area. We describe herein, a novel method for the synthesis of anisotropic gold and palladium nanoparticles through a simple galvanic replacement reaction across a semi-permeable dialysis membrane. The control over the reaction kinetics achieved by the presence of membrane enables one to tune the bimetal composition, particle porosity and morphology. Rapid outward diffusion of silver ions generated from the sacrificial silver nanoparticles even at room temperatures prevents the precipitation of high quantities of silver chloride, thereby circumventing the need for product purification. The porous anisotropic nanostructures have potential applications in catalysis, cell imaging and therapeutics.

10aAg/Pd Nanostructures10aAnisotropic Nanoparticles10aDialysis10aGalvanic Replacement10aPorous nanostructures10aSilver Nanotriangles10aSilver Nanowires10aTransmetallation1 aShukla, Sourabh1 aPasricha, Renu1 aSastry, Murali uhttps://library.ncl.res.in/content/porous-anisotropic-metal-nanostructures-through-controlled-transmetallation-across-002210nas a2200253 4500008004100000022001400041245008500055210006900140260000800209300001100217490000800228520140200236653002001638653001101658653001501669653002201684653002601706653002101732100001801753700002101771700002701792700002301819856011401842 2021 eng d a1385-894700aQuantitative understanding of nucleation and growth kinetics of silver nanowires0 aQuantitative understanding of nucleation and growth kinetics of  cJUN a1287110 v4143 a

We have demonstrated that using polyol synthesis, it is possible to prepare high aspect ratio silver nanowires by controlling the experiments for process related issues which are usually ignored, viz. the overhead space in the batch reactor. It is found that by controlling the presence/absence of NOx gases with refluxing of nitric acid in the batch reactor with an overhead space of 80% volume, near complete conversion (-99%) of high aspect ratio NWs (-1000) can be attained. We provide a detailed understanding of other factors assisting in rapid polyol synthesis like temperature, stirring rate, Chloride ion concentration, optimal PVP weight ratios and PVP/AgNO3 ratio that can lead to high aspect ratio NWs. Besides the process parameters and reagent concentration effects, kinetic studies based on our nucleation and R-C Model evaluate the overall reaction rate constants for silver nanowires and the JMAK approach is used to theoretically validate our experimental results of the reactor headspace having strongest effect on the aspect ratios. Our study highlights the importance of various complications in the polyol synthesis, through detailed kinetic modelling and affixes values of temperature, reactor headspace, stirring rate and residence time in order to achieve reproducible synthesis of nanowires with complete conversion along with a method to separate these nanowires.

10aConducting inks10agrowth10aNucleation10aReaction kinetics10aRedox-crystallization10aSilver Nanowires1 aPatil, Suneha1 aKate, Prachi, R.1 aDeshpande, Jaydeep, B.1 aKulkarni, Amol, A. uhttps://library.ncl.res.in/content/quantitative-understanding-nucleation-and-growth-kinetics-silver-nanowires02470nas a2200205 4500008004100000022001400041245013200055210006900187260000800256300001100264490000800275520172700283653002502010653001402035653001902049653002102068100002502089700002302114856012702137 2024 eng d a1385-894700aModel predicted optimization of experimental set-up and process conditions for microwave-assisted synthesis of silver nanowires0 aModel predicted optimization of experimental setup and process c cOCT a1554830 v4983 a

This work presents simulations led optimization of choice of a reactor for an experimental set-up for the continuous production of silver nanowires with certain constraints in terms of yield, reaction time, and dimensions of nanowires. The choice of reactors based on the simulations of reaction kinetics for nucleation and growth phases of driving the optimization of an experimental set-up and subsequent optimization of process conditions to maximize the yield of nanowires of desired dimensions. The optimized reactor configuration is dictated by the reaction kinetics and using a microwave in continuous mode becomes unavoidable. This makes the approach highly reproducible as well as scalable. The integration of conventional and microwave heating is simulated and subsequently optimized experimentally to attain a significant increase in nanowire yield under steady-state conditions with less than 15 min of residence time. The precise control over the rate in different reactor configurations governing nucleation, accelerated growth followed by slow growth to complete the conversion of precursor enables higher selectivity of nanowires with controllable dimensions resulting in 100 gm production per day using simple set-up. We systematically examined key reaction parameters, including the concentration of metal ions, residence time, and different reactor configurations. Our approach successfully yielded AgNWs with 40-60 nm diameter and 15 mu m length. The cost associated with this process for synthesizing AgNWs is less than 10\$ per gram. This study highlights the potential of continuous, high-throughput processes for controlling nanowire size and yield through advanced reactor engineering.

10aContinuous synthesis10aMicrowave10aReactor design10aSilver Nanowires1 aSonawane, Jayesh, R.1 aKulkarni, Amol, A. uhttps://library.ncl.res.in/content/model-predicted-optimization-experimental-set-and-process-conditions-microwave-assisted