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Sajadi F, Sayadi M H, Hajiani M. Study of optimizing the process of Cadmium adsorption by synthesized silver nanoparticles using Chlorella vulgaris. Journals of Birjand University of Medical Sciences 2016; 23 (2) :119-129
URL: http://journal.bums.ac.ir/article-1-2098-en.html
1- Department of Environmental Sciences ,University of Birjand, Birjand, Iran.
2- Department of Environmental Sciences ,University of Birjand, Birjand, Iran. , mh_sayadi@yahoo.com
Abstract:   (14335 Views)

Background and Aim: Cadmium (Cd) is one of the most toxic heavy metals in water that mostly enters the water cycle through industrial waste water. Silver nanoparticles have the capacity to remove heavy metals from the water resources through the mechanism of adsorption. The present study aimed at producing  silver bio-nanoparticles and optimizing . Cd removal from aquatic solutions.

Materials and Methods: Silver bio-nanoparticles were extracted via a micro-algae Chlorella vulgaris extract and silver nitrate synthesis. Then, the characteristics of the particles were  determined using FT-IR, XRD, SEM devices. In order to optimize Cadmium adsorption by means of silver nanoparticles, parameters including pH, reaction time, initial concentration of Cd and concentrations of nanoparticles were studied under different conditions.

Results: The resulting nanoparticles were spherical, single and crystalline, whose sizes were 10-45 nm.  Under the condition of PH = 8, the initial concentration of cadmium 0.5 mg/L, adsorbent dosage of 0.5 mg, reaction time of 10 min, temperature of 300C and mixing speed of 200 rpm, 99% of cadmium was removed. Isotherm of Cadmium-ion adsorption followed Langmuir (R2> 0/96 (and Freundlich (R2> 0/94) models.

Conclusion: Under optimal conditions, silver bio-nanoparticles had the capacity of quick and effective adsorption of cadmium. Thus, with a cheap, non-toxic and environmentally friendly method  can remove heavy metals in a short time.

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Type of Study: Original Article | Subject: Environmental Health
Received: 2016/04/17 | Accepted: 2016/06/14 | ePublished: 2016/07/4

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