Biological Removal of Cadmium by Halomonas elongate IBRC-M10433 in Different Conditions: Optimization by Taguchi Statistical Approach

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Published: 2018-11-17

Page: 7-13


Zahra Kahrarian

Department of Biology, Faculty of Science, Razi University, Kermanshah, Iran.

Mojtaba Taran

Department of Biology, Faculty of Science, Razi University, Kermanshah, Iran.

Mohammad Alimoradi

Human Physiology, Medical Biology Research Center (MBRC), Kermanshah University of Medical Sciences, Kermanshah, Iran.

Ahmad Tajehmiri

Nosocomical Infection Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran and Department of Biotechnology and Chemical Engineering, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran.

*Author to whom correspondence should be addressed.


Abstract

The biological removing method is cheap and safe for the environment. The Cadmium is toxic and harmful for the environment; therefore, the biological removing programs were developed for deletion of this metal from waste. Detection of persisting bacteria to toxic metals and using them for removing heavy metal from arouses environments and wastewaters is very important. In this study the ability of Halomonas elongate IBRC-M10433 bacterium was achieved from Urmia Salt Lake was tested to remove of Cadmium in wastewaters. For achievement optimised of different environmental factors such as Cadmium, Glucose and salt for removal of Cadmium from H. elongate IBRC-M10433, we used Taguchi method. Results from this study showed that H. elongate IBRC-M10433 persists to Cadmium metal. The largest Cadmium removal (85%) was seen in the culture that contains 50 ppm Cadmium, Glucose 10 g/L and NaCl 200 g/L.

Keywords: Fusiform initials, Cadmium, fibres, biological removal, Ficus religiosa,, salty lake, Sapwood, Halomonas elongate IBRC-M10433, vessels


How to Cite

Kahrarian, Zahra, Mojtaba Taran, Mohammad Alimoradi, and Ahmad Tajehmiri. 2018. “Biological Removal of Cadmium by Halomonas Elongate IBRC-M10433 in Different Conditions: Optimization by Taguchi Statistical Approach”. Asian Journal of Research in Biosciences 1 (1):7-13. https://www.journalbioscience.com/index.php/AJORIB/article/view/95.

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