Effect of precursors on the solid-state synthesis of semiconducting PbS nanostructures
Journal Title: Carbon - Science and Technology - Year 2013, Vol 5, Issue 1
Abstract
In this communication, we report facile and economical in-situ preparation of lead sulphide (PbS) nanorods and nanocubes within the Polyphenylene sulphide (PPS) matrix. PPS plays a dual role in the synthesis of the resultant nanostructures as - (i) a chalcogen source and (ii) a stabilizing matrix. We studied the effect of change of lead precursor from lead nitrate to acetate on the morphological properties of the resultant nanostructures. The effect of molar ratios of the reactants (1:1, 1:5, 1:10, 1:15 and 1:20) on the morphology of the products was also studied. The resultant nanocomposites were characterized by various physico-chemical techniques like X-ray Diffractometry (XRD), SEM equipped with EDAX, TEM and UV-Visible spectroscopy. The prima-facie observations suggest effective formation and subsequent entrapment of lead sulphide nanorods and nanocubes, respectively, when lead acetate and lead nitrate precursors were used. Additionally, simultaneous occurrence of nanocrystalline cubic lead as an impurity phase is noticed in case of heated admixtures for both the precursors.
Authors and Affiliations
Sujata Kasabe, Manish Shinde, Parag Adhyapak, Uttamrao Mulik and Dinesh P. Amalnerkar
Keywords
Related Articles
- EP ID EP49897
- DOI -
- Views 247
- Downloads 0
Sustainable treatment potential of mixed algal consortia for domestic waste water: Growth and mixotropy
The increasing levels of generation of nutrient-rich waste water pose serious challenge. Conventional biological and chemical methods of waste water treatment have failed in meeting sustainability challenges. Naturally o...
Investigations on temperature distribution in welding of Aluminium alloys to steel using FEM
This research study focuses on the objective to establish an analytical model for determining the thermal distribution during friction stir welding (FSW), based on different assumptions of the contact condition between t...
An artificial neural network model of the Chemical Vapor Deposition Processes for Carbon – Carbon composites.
A model of artificial neural network (ANN) is developed for the analysis of the correlation between the chemical vapor deposition (CVD) processing parameters and the densification of carbon - carbon (C/C) composites. The...
Study of cutting forces in machining of magnesium composite by response surface methodology
Metal Matrix composites (MMCs) has many excellent engineering properties like good strength to weight ratio, stiffness and increased wear resistance etc., These properties are the main requirements in aerospace, automoti...
Batch Kinetics, isotherm and thermodynamic studies of adsorption of strontium from aqueous solutions onto low cost rice-straw based carbons
Present study explored the feasibility of using waste rice-straw based carbons as adsorbent for the removal of strontium under different experimental conditions. The batch sorption is studied with respect to solute conce...