Rapid removal of heavy metal cations and anions from aqueous solutions by an amino-functionalized magnetic nano-adsorbent.
By Shih-Hung Huang, Dong-Hwang Chen. Journal of Hazardous Materials, 2009
615 citations recorded by the source corpus.
Subfields: Organic Chemistry, Renewable Energy, Sustainability and the Environment, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/72bc9aefd98e398a00a46a6c4cd8aa5fe2e96f9d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Organic Chemistry
- Shilpi Agarwal
- Hamidreza Sadegh
- D. K. Reddy
- Vinod Kumar Gupta
- Seung-Mok Lee
- S. Tang
- Abdelkader Makhlouf
- Saifeldin M. Siddeeg
In Renewable Energy, Sustainability and the Environment
- Shilpi Agarwal
- Hamidreza Sadegh
- S. Tang
- Seung-Mok Lee
- I. Lo
- Guangming Zeng
- Mohsen Jalali
- D. K. Reddy
In Water Science and Technology
- Hamidreza Sadegh
- Shilpi Agarwal
- Vinod Kumar Gupta
- D. K. Reddy
- Guangming Zeng
- Abdelkader Makhlouf
- Mohsen Jalali
- S. Mahdavi
Citations in the corpus
- Effective Heavy Metals Removal from Water Using Nanomaterials: A Review (2020, background): “5 298 [95] PAA-coated amino-functionalized Fe3O4 600 20,640 5 298 [89] α-Fe2O3 nanofibers 5 200 2000 - 298 [102] CuO 10 20 1600 3 298 [104] BiOBr/Ti3C2 80 20 40 - 298 [123]”
- Magnetic nanoparticles: essential factors for sustainable environmental applications. (2013, methodology): “…amino moieties were reported as having a novel capability for sorption of metal cations and anions under various pH values, derived from positive charges after protonation or coordination with lone pair of electrons of nitrogen atoms without protonation (Hu et al., 2011; Huang and Chen, 2009).”
- HEAVY METALS REMOVAL FROM AQUEOUS SOLUTIONS USING TiO2, MgO, AND Al2O3 NANOPARTICLES (2013, methodology): “Freundlich and Langmuir equations (Afkhami and Norooz-Asl, 2009; Huang and Chen, 2009; Afkhami and Moosavi, 2010; Chen and Li., 2010; Mobasherpour et al., 2011) were fitted to data.”