| Title |
Optimization of chromium and tannic acid bioremediation by Aspergillus niveus using Plackett–Burman design and response surface methodology
|
|---|---|
| Published in |
AMB Express, November 2017
|
| DOI | 10.1186/s13568-017-0504-0 |
| Pubmed ID | |
| Authors |
Prachi Chaudhary, Vinod Chhokar, Pragati Choudhary, Anil Kumar, Vikas Beniwal |
| Abstract |
A chromium and tannic acid resistance fungal strain was isolated from tannery effluent, and identified as Aspergillus niveus MCC 1318 based on its rDNA gene sequence. The MIC (minimum inhibitory concentration) of the isolate against chromium and tannic acid was found to be 200 ppm and 5% respectively. Optimization of physiochemical parameters for biosorption of chromium and tannic acid degradation was carried out by Plackett-Burman design followed by response surface methodology (RSM). The maximum chromium removal and tannic acid degradation was found to be 92 and 68% respectively by A. niveus. Chromium removal and tannic acid degradation was increased up to 11 and 6% respectively after optimization. Scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) was used to investigate biosorption phenomena. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 18% |
| Student > Master | 5 | 18% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Unspecified | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 18% |
| Environmental Science | 2 | 7% |
| Chemical Engineering | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Unspecified | 1 | 4% |
| Other | 7 | 25% |
| Unknown | 9 | 32% |
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 17 November 2017.
All research outputs
#15,483,707
of 23,008,860 outputs
Outputs from AMB Express
#447
of 1,240 outputs
Outputs of similar age
#203,514
of 325,280 outputs
Outputs of similar age from AMB Express
#19
of 42 outputs
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