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URN etd-0217114-111013 Statistics This thesis had been viewed 881 times. Download 1 times. Author Sheng-Huei Huang Author's Email Address No Public. Department Bioengineering Year 2013 Semester 1 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 85 Title Recognition and detection of caffeine with molecularly imprinted Poly(ethylene-co-vinyl alcohol) integrated onto a quartz crystal microbalance sensor Keyword ethylene - vinyl alcohol quartz crystal microbalance sensors molecularly imprinted Caffeine Caffeine molecularly imprinted quartz crystal microbalance sensors ethylene - vinyl alcohol Abstract The main purpose of this study by (ethylene - vinyl alcohol) polymer molecular template in the form of slurry preparation of thin film coated on a quartz crystal chip, combined with the quartz crystal microbalance sensors (QCM), making the caffeine molecule imprinted templates for detection of caffeine. In different molar proportions of (ethylene - vinyl alcohol )polymer of the polymerization (27mol%, 32mol%, 38 mol% and 44 mol%), mixed with caffeine for the bonding between the polymer. Then, after removed the caffeine, the template generation of holes for detection of caffeine, is called Molecular imprinted polymer, (MIP). Based on research results indicated that the 27 mol% concentrations of ethylene - vinyl alcohol caffeine molecule template preparation of polymer materials was the better choice. The optimal reaction time for caffeine MIP template and caffeine molecular was determined to be 30 min. The 27 mol% caffeine molecularly imprinted template incubated with different concentration of caffeine at 30 min, in the amount of QCM measurement frequency difference can reach 159.8Hz. There is a linear relationship between 2 ppm ~ 16 ppm concentrations of caffeine. The caffeine molecule templates can be reused six times its frequency variation remained at 90%. In the present study has been established (ethylene - vinyl alcohol) preparation techniques, combined with caffeine molecule templates QCM chips produced are initially developed can be applied to non-biological detection system to detect the caffeine. Advisor Committee Tsong-Rong Yan - advisor
Chung-Yih Wang - co-chair
Hsiu Mei-Chen - co-chair
Files Date of Defense 2014-01-22 Date of Submission 2014-02-17