Open AccessPerformance of silver nanoparticle fixed on magnetic iron nanoparticles ( F e 3 O 4 − Ag ) in water disinfection
Author(s) -
Sharifi Roya,
Hassani Amir Hessam,
Ahmad Panahi Homayon,
Borghei Mehdi
Publication year - 2018
Publication title -
micro and nano letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.25
H-Index - 31
ISSN - 1750-0443
DOI - 10.1049/mnl.2016.0727
Subject(s) - nanoparticle , fourier transform infrared spectroscopy , silver nanoparticle , thermogravimetric analysis , transmission electron microscopy , nuclear chemistry , magnetic nanoparticles , materials science , chemical engineering , chemistry , analytical chemistry (journal) , nanotechnology , chromatography , organic chemistry , engineering
Microbial contamination poses a serious threat to human health. The evaluation of alternative systems and their reliability for the treatment of water is essential. In this work, a new method for the deposit of more silver nanoparticles (AgNPs) on the external surface of F e 3 O 4 nanoparticles is presented. F e 3 O 4 nanoparticles were synthesised by chemical co‐precipitation and were modified in two stages using 3‐mercaptopropyl trimethoxysilane and grafting allyl glycidyl ether and N, N‐dimethylacrylamide. Then, AgNPs were loaded onto the modified F e 3 O 4 to be used for water disinfection. The resulting nanoparticles were characterised by transmission electron microscopy, X‐ray powder diffraction, Fourier transform infrared spectroscopy, vibrating sample magnetometer and thermal gravimetric analysis. Batch experiments were performed to investigate the effects of parameters such as amount of F e 3 O 4 − Ag , contact time, and initial concentrations of MPN (the most probable number) and pH. The kinetic data was analysed by pseudo‐first‐order and pseudo‐second‐order equations. Results showed that the optimum conditions were a contact time of 30 min (94%), 50 mg of F e 3 O 4 − Ag , and a pH was 6.5 for the maximum MPN removal efficiency (99.76%) in 750 cfu/ml MPN. On the basis of the results of fitting data, the pseudo‐second‐order kinetic model was selected as suitable for the data.