Premium
Controlled Production of Monodisperse Plant‐Mediated AgNP Catalysts Using Microwave Chemistry: A Desirability‐Function‐Based Multiple‐Response Optimization Approach
Author(s) -
Ertürk Ali Serol
Publication year - 2019
Publication title -
chemistryselect
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 34
ISSN - 2365-6549
DOI - 10.1002/slct.201902197
Subject(s) - dispersity , response surface methodology , silver nanoparticle , central composite design , catalysis , silver nitrate , microwave , nanoparticle , materials science , green chemistry , chemical engineering , chemistry , nanotechnology , analytical chemistry (journal) , nuclear chemistry , chromatography , computer science , organic chemistry , reaction mechanism , telecommunications , engineering
This study introduces a new straightforward strategy for screening the formation of catalytically active and monodisperse silver nanoparticles (AgNPs) using Epilobium parviflorum green tea extract and microwave technology. The method facilitates from multivariate statistical analysis for the optimization of the reaction conditions at which the produced AgNPs exhibit the best catalytic response for the model reduction reaction of 4‐nitrophenol (4‐NP). A five‐level two‐factor Central Composite (CCD) design of experiments (DOE) together with a response surface methodology (RSM) based desirability function approach was applied for the optimization of two variables, which are microwave exposure time and amount of silver nitrate, to obtain the desired monodisperse AgNPs displaying the best catalytic activity with the green and biogenic synthesis methods. The overall desirability of 82.2% for the measure of dispersity function of AgNPs ( ψ ) and the first‐order‐reaction rate constants ( k a p p ) were obtained. The nanospheres with the TEM mean diameter of 19.10±2.06 nm were successfully synthesized in the optimized conditions: 15 min of microwave exposure time and 4 mL of AgNO 3 (10 mM) at 100 °C with a laboratory‐grade microwave reactor and the formed nanoparticles were fully characterized. Verification experiments ( ψ = 3 . 546 × 10 5andk a p p = 0 . 0293 s −1 ) confirmed the validity of the predicted model ( ψ = 3 . 567 × 10 5andk a p p = 0 . 0291s −1 ) ( p <0.05).