| Title |
Development of bisphenol A-removing recombinant Escherichia coli by monomeric and dimeric surface display of bisphenol A-binding peptide
|
|---|---|
| Published in |
Bioprocess and Biosystems Engineering, December 2017
|
| DOI | 10.1007/s00449-017-1882-z |
| Pubmed ID | |
| Authors |
Murali kannan Maruthamuthu, Jiyeon Hong, Kulandaisamy Arulsamy, Sivachandiran Somasundaram, SoonHo Hong, Woo-Seok Choe, Ik-Keun Yoo |
| Abstract |
Peptide-displaying Escherichia coli cells were investigated for use in adsorptive removal of bisphenol A (BPA) both in Luria-Bertani medium including BPA or ATM thermal paper eluted wastewater. Two recombinant strains were constructed with monomeric and dimeric repeats of the 7-mer BPA-binding peptide (KSLENSY), respectively. Greater than threefold increased adsorption of BPA [230.4 µmol BPA per g dry cell weight (DCW)] was found in dimeric peptide-displaying cells compared to monomeric strains (63.4 µmol per g DCW) in 15 ppm BPA solution. The selective removal of BPA from a mixture of BPA analogs (bisphenol F and bisphenol S) was verified in both monomeric and dimeric peptide-displaying cells. The binding chemistry of BPA with the peptide was assumed, based on molecular docking analysis, to be the interaction of BPA with serine and asparagine residues within the 7-mer peptide sequence. The peptide-displaying cells also functioned efficiently in thermal paper eluted wastewater containing 14.5 ppm BPA. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Student > Master | 4 | 19% |
| Researcher | 2 | 10% |
| Professor | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Chemical Engineering | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Medicine and Dentistry | 2 | 10% |
| Environmental Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 48% |
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 October 2019.
All research outputs
#17,350,971
of 25,461,852 outputs
Outputs from Bioprocess and Biosystems Engineering
#412
of 604 outputs
Outputs of similar age
#282,618
of 448,237 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#1
of 1 outputs
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