Biosensors: alcohol and glucose detection
104 p.
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2014
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| Online Access: | http://hdl.handle.net/10356/58067 |
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sg-ntu-dr.10356-580672023-03-11T17:16:32Z Biosensors: alcohol and glucose detection Liu, Shuhui Lim Chu Sing School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Surgical assistive technology 104 p. A unique approach of developing a simple enzymatic technique for detection of analytes, alcohol and glucose, in body fluids was described. The proposed assay system was mainly composed of buffer, 3,3',5,5'-tetramethylbenzidine (TMB), and enzymes. The analytes were bio-catalyzed by the respective enzymes, alcohol oxidase (AOx) and glucose oxidase (GOx) to produce hydrogen peroxide (H2O2). This was followed by the horseradise peroxide (HRP)-catalyzed reaction to oxidize the indicator solution, TMB, producing coloured compounds. The main measurement was the colour change due to TMB-oxidation process, affected directly by the amount of bio-targets present, and indirectly by the concentration of reagents. The application was performed on nitrocellulose strips and cellulose pads, using spot tests. Investigations also focused on enzyme stabilization and shelf-life. Master of Science (Biomedical Engineering) 2014-04-07T11:56:45Z 2014-04-07T11:56:45Z 2011 2011 Thesis http://hdl.handle.net/10356/58067 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Mechanical engineering::Surgical assistive technology Liu, Shuhui Biosensors: alcohol and glucose detection |
| description |
104 p. |
| author2 |
Lim Chu Sing |
| author_facet |
Lim Chu Sing Liu, Shuhui |
| format |
Theses and Dissertations |
| author |
Liu, Shuhui |
| author_sort |
Liu, Shuhui |
| title |
Biosensors: alcohol and glucose detection |
| title_short |
Biosensors: alcohol and glucose detection |
| title_full |
Biosensors: alcohol and glucose detection |
| title_fullStr |
Biosensors: alcohol and glucose detection |
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Biosensors: alcohol and glucose detection |
| title_sort |
biosensors: alcohol and glucose detection |
| publishDate |
2014 |
| url |
http://hdl.handle.net/10356/58067 |
| _version_ |
1761781995070816256 |