| Title |
Characterisation and antimicrobial activity of biosurfactant extracts produced by Bacillus amyloliquefaciens and Pseudomonas aeruginosa isolated from a wastewater treatment plant
|
|---|---|
| Published in |
AMB Express, May 2017
|
| DOI | 10.1186/s13568-017-0363-8 |
| Pubmed ID | |
| Authors |
Thando Ndlovu, Marina Rautenbach, Johann Arnold Vosloo, Sehaam Khan, Wesaal Khan |
| Abstract |
Biosurfactants are unique secondary metabolites, synthesised non-ribosomally by certain bacteria, fungi and yeast, with their most promising applications as antimicrobial agents and surfactants in the medical and food industries. Naturally produced glycolipids and lipopeptides are found as a mixture of congeners, which increases their antimicrobial potency. Sensitive analysis techniques, such as liquid chromatography coupled to mass spectrometry, enable the fingerprinting of different biosurfactant congeners within a naturally produced crude extract. Bacillus amyloliquefaciens ST34 and Pseudomonas aeruginosa ST5, isolated from wastewater, were screened for biosurfactant production. Biosurfactant compounds were solvent extracted and characterised using ultra-performance liquid chromatography (UPLC) coupled to electrospray ionisation mass spectrometry (ESI-MS). Results indicated that B. amyloliquefaciens ST34 produced C13-16 surfactin analogues and their identity were confirmed by high resolution ESI-MS and UPLC-MS. In the crude extract obtained from P. aeruginosa ST5, high resolution ESI-MS linked to UPLC-MS confirmed the presence of di- and monorhamnolipid congeners, specifically Rha-Rha-C10-C10 and Rha-C10-C10, Rha-Rha-C8-C10/Rha-Rha-C10-C8 and Rha-C8-C10/Rha-C10-C8, as well as Rha-Rha-C12-C10/Rha-Rha-C10-C12 and Rha-C12-C10/Rha-C10-C12. The crude surfactin and rhamnolipid extracts also retained pronounced antimicrobial activity against a broad spectrum of opportunistic and pathogenic microorganisms, including antibiotic resistant Staphylococcus aureus and Escherichia coli strains and the pathogenic yeast Candida albicans. In addition, the rapid solvent extraction combined with UPLC-MS of the crude samples is a simple and powerful technique to provide fast, sensitive and highly specific data on the characterisation of biosurfactant compounds. |
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 247 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 247 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 16% |
| Student > Master | 29 | 12% |
| Researcher | 23 | 9% |
| Student > Bachelor | 23 | 9% |
| Student > Doctoral Student | 15 | 6% |
| Other | 31 | 13% |
| Unknown | 86 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 17% |
| Agricultural and Biological Sciences | 35 | 14% |
| Immunology and Microbiology | 24 | 10% |
| Environmental Science | 13 | 5% |
| Engineering | 8 | 3% |
| Other | 25 | 10% |
| Unknown | 100 | 40% |
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 01 June 2017.
All research outputs
#15,462,982
of 22,977,819 outputs
Outputs from AMB Express
#446
of 1,239 outputs
Outputs of similar age
#198,815
of 316,427 outputs
Outputs of similar age from AMB Express
#40
of 71 outputs
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