Synthesis of silver nanocatalyst in presence of poly(ethylene glycol) and its application for electrocatalytic reduction of hydrogen peroxide

The synthesis of powdered Ag nanoparticles in presence of poly(ethylene glycol) as reducing agent and stabilizer in aqueous medium is reported. The structure and properties of the Ag nanoparticles have been characterised by X-ray diffraction, transmission electron microscopy and energy dispersive X-ray data. XRD study shows that the particles are crystalline in nature with face centered cubic geometry. Formation of stable silver nanoparticles gives mostly spherical particles with diameter in the range of 12–30 nm. The catalytic activity of the nanocrystalline AgNPs, for the reduction of hydrogen peroxide has been studied at the surface of glassy carbon electrode modified with Ag nanoparticles and poly(methyl methacrylate) (AgNPs-PMMA/GCE) prepared by casting of the AgNPs-PMMA solution on GCE. The sensor responds to H2O2 with high selectivity, good reproducibility and stability, over a linear range of 22–1700 µM with a detection limit of 4.8 µM using amperometry.

2D Quantitative Structure-Property Relationship Study of Mycotoxins by Multiple Linear Regression and Support Vector Machine

In the present work, support vector machines (SVMs) and multiple linear regression (MLR) techniques were used for quantitative structure–property relationship (QSPR) studies of retention time (tR) in standardized liquid chromatography–UV–mass spectrometry of 67 mycotoxins (aflatoxins, trichothecenes, roquefortines and ochratoxins) based on molecular descriptors calculated from the optimized 3D structures. By applying missing value, zero and multicollinearity tests with a cutoff value of 0.95, and genetic algorithm method of variable selection, the most relevant descriptors were selected to build QSPR models. MLR and SVMs methods were employed to build QSPR models. The robustness of the QSPR models was characterized by the statistical validation and applicability domain (AD). The prediction results from the MLR and SVM models are in good agreement with the experimental values. The correlation and predictability measure by r2 and q2 are 0.931 and 0.932, repectively, for SVM and 0.923 and 0.915, respectively, for MLR. The applicability domain of the model was investigated using William’s plot. The effects of different descriptors on the retention times are described

Synthesis of silver nanocatalyst in presence of poly(ethylene glycol) and its application for electrocatalytic reduction of hydrogen peroxide

843-847The synthesis of powdered Ag nanoparticles in presence of poly(ethylene glycol) as reducing agent and stabilizer in aqueous medium is reported. The structure and properties of the Ag nanoparticles have been characterised by X-ray diffraction, transmission electron microscopy and energy dispersive X-ray data. XRD study shows that the particles are crystalline in nature with face centered cubic geometry. Formation of stable silver nanoparticles gives mostly spherical particles with diameter in the range of 12–30 nm. The catalytic activity of the nanocrystalline AgNPs, for the reduction of hydrogen peroxide has been studied at the surface of glassy carbon electrode modified with Ag nanoparticles and poly(methyl methacrylate) (AgNPs-PMMA/GCE) prepared by casting of the AgNPs-PMMA solution on GCE. The sensor responds to H2O2 with high selectivity, good reproducibility and stability, over a linear range of 22–1700 µM with a detection limit of 4.8 µM using amperometry