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https://hdl.handle.net/10356/107548
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DC Field | Value | Language |
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dc.contributor.author | Wong, Darren Yong Sehng | en |
dc.date.accessioned | 2016-11-07T05:35:07Z | en |
dc.date.accessioned | 2019-12-06T22:33:44Z | - |
dc.date.available | 2016-11-07T05:35:07Z | en |
dc.date.available | 2019-12-06T22:33:44Z | - |
dc.date.issued | 2016 | en |
dc.identifier.citation | Wong, D. Y. S. (2016, March). DIY spectrophotometry: Rapid, low-cost RGB approach for vis-spectroscopy, OD600, and fluorescence quantification in profiling nosocomial antibiotic resistance (MRSA). Presented at Discover URECA @ NTU poster exhibition and competition, Nanyang Technological University, Singapore. | en |
dc.identifier.uri | https://hdl.handle.net/10356/107548 | - |
dc.description.abstract | Problem: Existing spectrophotometric assays are prohibitively expensive and incompatible with resource-limited settings (i.e. developing countries, citizen science and field testing), thereby necessitating a viable, economical alternative capable of yielding accurate and reproducible results. The increasing prevalence of multi-drug resistance has made the rapid & accurate determination of antibiotic susceptibility an imperative. In particular, Methicillin-resistant S. aureus (MRSA), a nosocomial pathogen, is responsible for significant inpatient morbidity and mortality [3.2 cases/1000 inpatient days]. Aim: Herein, an affordable, high-throughout, semi-automated method of determining S. aureus antibiotic susceptibility via RGB analysis is described. OD600 (MIC) values from broth microdilution, and endpoint fluorescence values from strain-typing (PCR) were quantified, yielding absorbance readings comparable to commercial spectrophotometers (R2 correlation coefficient = 0.9931, 0.9539 respectively). [Peer Assessment Review] | en |
dc.language.iso | en | en |
dc.rights | © 2016 The Author(s). | en |
dc.subject | Spectrophotometry | en |
dc.subject | RGB | en |
dc.title | DIY spectrophotometry: Rapid, low-cost RGB approach for vis-spectroscopy, OD600, and fluorescence quantification in profiling nosocomial antibiotic resistance (MRSA) | en |
dc.type | Student Research Poster | en |
dc.contributor.supervisor | Yap Peng Huat Eric | en |
dc.contributor.school | Lee Kong Chian School of Medicine (LKCMedicine) | en |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | URECA Posters |
Files in This Item:
File | Description | Size | Format | |
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LKCM15012.pdf | 502.89 kB | Adobe PDF | ![]() View/Open |
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