Title |
Surface micropattern limits bacterial contamination
|
---|---|
Published in |
Antimicrobial Resistance & Infection Control, September 2014
|
DOI | 10.1186/2047-2994-3-28 |
Pubmed ID | |
Authors |
Ethan E Mann, Dipankar Manna, Michael R Mettetal, Rhea M May, Elisa M Dannemiller, Kenneth K Chung, Anthony B Brennan, Shravanthi T Reddy |
Abstract |
Bacterial surface contamination contributes to transmission of nosocomial infections. Chemical cleansers used to control surface contamination are often toxic and incorrectly implemented. Additional non-toxic strategies should be combined with regular cleanings to mitigate risks of human error and further decrease rates of nosocomial infections. The Sharklet micropattern (MP), inspired by shark skin, is an effective tool for reducing bacterial load on surfaces without toxic additives. The studies presented here were carried out to investigate the MP surfaces capability to reduce colonization of methicillin-sensitive Staphylococcus aureus (MSSA) and methicillin-resistant S. aureus (MRSA) compared to smooth control surfaces. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 15% |
United States | 3 | 12% |
Australia | 1 | 4% |
Ireland | 1 | 4% |
Egypt | 1 | 4% |
Venezuela, Bolivarian Republic of | 1 | 4% |
Hungary | 1 | 4% |
France | 1 | 4% |
Sweden | 1 | 4% |
Other | 2 | 8% |
Unknown | 10 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 19 | 73% |
Scientists | 3 | 12% |
Practitioners (doctors, other healthcare professionals) | 3 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
United States | 1 | <1% |
Unknown | 227 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 45 | 20% |
Student > Ph. D. Student | 43 | 19% |
Researcher | 26 | 11% |
Student > Master | 19 | 8% |
Student > Postgraduate | 8 | 3% |
Other | 26 | 11% |
Unknown | 63 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 31 | 13% |
Agricultural and Biological Sciences | 23 | 10% |
Medicine and Dentistry | 20 | 9% |
Materials Science | 17 | 7% |
Chemistry | 16 | 7% |
Other | 53 | 23% |
Unknown | 70 | 30% |