A comparative catalytic kinetics study for exploring dye degradation potential of silver, gold and palladium nanoparticles
Source abstract
Abstract
A lot of innovative methods to synthesize various kinds of nanoparticles having specific shape and size are being explored for targeting immense applications through nanotechnology. In this work, simple, eco-friendly and cost-effective method has been adopted for the synthesis of silver (Ag), gold (Au) and palladium (Pd) nanoparticles using tannic acid. The morphology and size of nanoparticles were determined by TEM study, which revealed that nanoparticles are spherical in shape and exhibit an average diameter of about 6.66 nm, 12.24 nm and 19.65 nm for tannic acid mediated silver, gold and palladium nanoparticles (TA-AgNPs, TA-AuNPs and TA-PdNPs), respectively. The application of these nanoparticles was then explored as catalyst for the degradation of methylene blue and congo red dyes. The presence of these dyes was found to be detrimental for the aquatic life, as these dyes can seep into the ecosystem from the industrial waste. The catalytic activity of nanoparticles was compared by determining rate constant values. For, both the dyes, the value of rate constant followed the order- kAg ˃ kPd ˃ kAu. The dye degradation potential of TA-AgNPs was higher than TA-Au and TA-PdNPs. This difference in catalytic activity was attributed to lower work function value of AgNPs as compared to AuNPs and PdNPs. Present study provides an environmentally benign pathway for synthesizing metallic nanoparticles and their utilization as catalyst for degradation of harmful dyes. Such kinetic studies of comparative catalytic analysis may be useful in selection of nanoparticles, which may be best suited for a specific purpose. Graphical abstract
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Nanoparticles: synthesis and applications · Nanomaterials for catalytic reactions · Gold and Silver Nanoparticles Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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