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Optimization of diazinon biodegradation from aqueous solutions by Saccharomyces cerevisiae using response surface methodology

Overview of attention for article published in AMB Express, March 2017
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Title
Optimization of diazinon biodegradation from aqueous solutions by Saccharomyces cerevisiae using response surface methodology
Published in
AMB Express, March 2017
DOI 10.1186/s13568-017-0366-5
Pubmed ID
Authors

Mohammad H. Ehrampoush, Abbas Sadeghi, Mohammad T. Ghaneian, Ziaeddin Bonyadi

Abstract

Diazinon is an organophosphate compound that inhibits the activity of acetylcholinesterase. Standards of the World Health Organization and Environmental Protection Agency for diazinon concentration in water are 0.1 and 9 × 10(-6) mg/L, respectively. The aim of this study was the optimization of diazinon biodegradation from aqueous solutions by Saccharomyces cerevisiae using the response surface methodology (RSM). Harvested cells of S. cerevisiae were locally purchased from the Iranian Research Organization for Science and Technology. To obtain the optimum condition for diazinon biodegradation using RSM, input parameters included the initial concentration of diazinon (0.01-10 mg/L), concentration of S. cerevisiae (0.5-5%), pH (4-10), and retention time (1-30 h). The research study had a central composite design where one of the methods was RSM. According to the results, the observed values of the removal efficiency of diazinon were variable in the range of 23-96. The highest removal rate was obtained as 96% under the initial diazinon concentration of 2.5 mg/L, S. cerevisiae concentration of 3.88%, pH of 5.5, and retention time of 22.75 h. The results displayed that the removal efficiency of diazinon had a direct relationship with the concentration of S. cerevisiae and retention time, and an inverse relationship with pH and the initial concentration of diazinon. We can conclude that S. cerevisiae has the ability to remove diazinon with the lowest cost and a high efficiency.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Ph. D. Student 6 19%
Student > Master 4 13%
Lecturer 2 6%
Other 2 6%
Other 3 9%
Unknown 7 22%
Readers by discipline Count As %
Chemistry 8 25%
Environmental Science 7 22%
Chemical Engineering 3 9%
Agricultural and Biological Sciences 3 9%
Arts and Humanities 2 6%
Other 2 6%
Unknown 7 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2017.
All research outputs
#15,451,618
of 22,961,203 outputs
Outputs from AMB Express
#445
of 1,237 outputs
Outputs of similar age
#194,610
of 309,329 outputs
Outputs of similar age from AMB Express
#23
of 54 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,237 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.