Microwave-assisted green synthesis of SnO2 nanoparticles and their optical and photocatalytic properties

Abstract

In this study, SnO₂ has been synthesized using Andrographis Paniculata (A. Paniculata) by microwave-assisted method. It is also characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR). It exhibits the tetragonal structure with average crystallite size of 27?nm. The stretching vibration peak of Sn-O-Sn is 670?cm^?1. SEM reveals the formation of nanoparticles. The bandgap was estimated by the tauc’s relation as 3.52?eV from the UV-Visible (UV-Vis) spectra. Biosynthesized SnO₂ nanoparticles show excellent photocatalytic activity against Congo red dye under sunlight irradiation.     

Enhancing the Aspirin Loading and Release Efficiency of Silver Oxide Nanoparticles Using Oleic Acid-based Bio-Surfactant from Enteromorpha intestinalis

This study is an attempt to improve the loading and release potential of silver oxide nanoparticles (AgO NPs) using Oleic acid based bio-surfactant isolated from Enteromorpha instestinalis. The isolated Oleic acid based bio-surfactant was characterized using GC–MS, NMR, and HPLC. The AgO NPs were then surface-functionalized with the bio-surfactant and analyzed using XRD, HR-TEM/SAED, DLS, UV–Vis, and FTIR spectroscopy to evaluate the loading of aspirin and functional groups responsible for loading. The model drug Aspirin that has depreciated bio-availability due to poor solubility was used to test the drug carrier efficiency of the AgO NPs after the surface-functionalization. The loading of aspirin was increased by up to 80% in bio-surfactants than PEG-coated NPs (72%) at a 1:1 ratio (Aspirin/NP). The drug release profile of aspirin was evaluated by dialysis at different acidic conditions (pH 1.2, 6.8, and 7.4) and the active release of aspirin was observed in pH 6.8 and bio-surfactant produced better release than PEG and commercial tablet in all the pH conditions. To identify the mechanism of release from the carrier, the release kinetics was studied using zero-order, first-order, Higuchi's, and Korsmeyer Peppas equations and found that the release was time-dependent and non-fickian.     

Synthesis,characterization, and docking studies of novel cyanopyridone analogs with serotonin 5-HT1B receptor agonists

The medications in use for treating migraine are directed either towards inhibiting the characteristic migraine pain or towards preventing it from occurring. In this pursuit, ergotamine and sumatriptan class of 5-HT_1B receptor agonists have been proved to be extremely effective. Further research into this field led us to design cyanopyridone derivatives that were synthesized through cyclization of 2-cyano-N-phenylacetamides with malonitrile and 2,3-dihydrobenzo[b][1,4]dioxine-6-carbaldehyde. The synthesized cyanopyridones analogs, when docked with active site of 5-HT_1B receptor, showed better binding affinity compared to standard antimigraine medications. Additionally, in silico ADME prediction for drug-likeness and pharmacokinetics revealed that all compounds are safer and can be used as antimigraine medicine. The structure of the synthesized compounds has been elucidated on the basis of spectral analysis.     

Higher order numerical discretizations for exterior and biharmonic type PDEs

A higher order numerical discretization technique based on Minimum Sobolev Norm (MSN) interpolation was introduced in our previous work. In this article, the discretization technique is presented as a tool to solve two hard classes of PDEs, namely, the exterior Laplace problem and the biharmonic problem. The exterior Laplace problem is compactified and the resultant near singular PDE is solved using this technique. This finite difference type method is then used to discretize and solve biharmonic type PDEs. A simple book keeping trick of using Ghost points is used to obtain a perfectly constrained discrete system. Numerical results such as discretization error, condition number estimate, and solution error are presented. For both classes of PDEs, variable coefficient examples on complicated geometries and irregular grids are considered. The method is seen to have high order of convergence in all these cases through numerical evidence. Perhaps for the first time, such a systematic higher order procedure for irregular grids and variable coefficient cases is now available. Though not discussed in the paper, the idea seems to be easily generalizable to finite element type techniques as well.     

Highly Concise and Stereoselective Total Synthesis of (5R,7S)‐Kurzilactone

A highly concise and stereoselective total synthesis of (5R,7S)‐kurzilactone ( 1 ) was performed by a convergent approach by means of a Jacobsen's hydrolytic kinetic resolution, a Horner? Wadsworth? Emmons reaction for the construction of the α,β‐unsaturated δ‐lactone ring system, and a highly diastereoselective Mukaiyama aldol reaction for the introduction of the formal anti‐1,3‐diol unit (Schemes 2 and 3).     

Routes to copper zinc tin sulfide Cu2ZnSnS4 a potential material for solar cells

Power generation through photovoltaics (PV) has been growing at an average rate of 40% per year over the last decade; but has largely been fuelled by conventional Si-based technologies. Such cells involve expensive processing and many alternatives use either toxic, less-abundant and or expensive elements. Kesterite Cu(2)ZnSnS(4) (CZTS) has been identified as a solar energy material composed of both less toxic and more available elements. Power conversion efficiencies of 8.4% (vacuum processing) and 10.1% (non-vacuum processing) from cells constructed using CZTS have been achieved to date. In this article, we review various deposition methods for CZTS thin films and the synthesis of CZTS nanoparticles. Studies of direct relevance to solar cell applications are emphasised and characteristic properties are collated.     

Test to distinguish a Brownian motion from a Brownian bridge using Polya tree process

The problem of distinguishing a Brownian bridge from a Brownian motion, both with possible drift, on the closed unit interval, is investigated via a pair of hypothesis tests. The first, tests for observations obtained at n discrete time points to be arising from a Brownian bridge with drift by embedding the Brownian bridge into a mixture of Polya trees which represents the non-parametric alternative. The second test, tests in an identical manner, for the observations to be coming from a Brownian motion with drift. The Bayes factors for the two tests are derived and then combined to obtain the Bayes factor for the test to distinguish between the two Gaussian processes. The Tierney-Kadane approximation of the Bayes factor is derived with an error approximation of order O(n⁻⁴).