Acetaminophen removal using green synthesized iron nanoparticles with a fresh water microalga, Planktochlorella nurekis
Autor: | N P Sreekanth, Manoj P. Rayaroth, Neethu Cyril, C T Sunila, C. S. Praveen Kumar, V Ambily, V. P. Sylas |
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Rok vydání: | 2021 |
Předmět: |
Aqueous solution
Materials science Environmental remediation Langmuir adsorption model Nanoparticle 02 engineering and technology 010501 environmental sciences 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Atomic and Molecular Physics and Optics symbols.namesake Adsorption Monolayer symbols Zeta potential General Materials Science Physical and Theoretical Chemistry Fourier transform infrared spectroscopy 0210 nano-technology 0105 earth and related environmental sciences Nuclear chemistry |
Zdroj: | Nano-Structures & Nano-Objects. 26:100700 |
ISSN: | 2352-507X |
DOI: | 10.1016/j.nanoso.2021.100700 |
Popis: | In this study, the iron nanoparticles were synthesizedusing a decoction of locally isolated microalga, Planktochlorella nurekis The characterization of phyco-synthesized iron nanoparticles (ZVI-PN) were done by UV–Visible spectroscopy, FTIR, HR-TEM/EDAX, XRD, AFM and zeta potential. The as-synthesized nanoparticles were used as adsorbent for acetaminophen remediation from aqueous solutions. HR-TEM images showed poly-dispersed ZVI-PN of size 13-29 nm with spherical shape. The results of the FTIR analysis revealed that the bioactive compounds present in the microalgae are capable for the synthesis and stabilization of ZVI-PN. The optimum adsorption conditions of acetaminophen are initial pH3.0; temperature with 30 °C, salinity (NaCl) concentration with 20 mg/L and adsorbent concentration with 105mg/L (7 mL). The ZVI-PN could remove 98.6% and 91.3% of acetaminophen from pure and river water samples respectively. The maximum monolayer coverage capacity of ZVI-PN for acetaminophen adsorption was found to be 105 mg/L. The Langmuir isotherm model could explained the experimental equilibrium data and the adsorption data fitted well with pseudo second-order kinetic model. |
Databáze: | OpenAIRE |
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