Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107548
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dc.contributor.authorWong, Darren Yong Sehngen
dc.date.accessioned2016-11-07T05:35:07Zen
dc.date.accessioned2019-12-06T22:33:44Z-
dc.date.available2016-11-07T05:35:07Zen
dc.date.available2019-12-06T22:33:44Z-
dc.date.issued2016en
dc.identifier.citationWong, 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.urihttps://hdl.handle.net/10356/107548-
dc.description.abstractProblem: 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.isoenen
dc.rights© 2016 The Author(s).en
dc.subjectSpectrophotometryen
dc.subjectRGBen
dc.titleDIY spectrophotometry: Rapid, low-cost RGB approach for vis-spectroscopy, OD600, and fluorescence quantification in profiling nosocomial antibiotic resistance (MRSA)en
dc.typeStudent Research Posteren
dc.contributor.supervisorYap Peng Huat Ericen
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en
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