Development and application of a predictive model to detect analyte concentration from a quartz crystal microbalance | | Posted on:2006-11-25 | Degree:Ph.D | Type:Dissertation | | University:Oklahoma State University | Candidate:Lin, Wang | Full Text:PDF | | GTID:1451390008450849 | Subject:Engineering | | Abstract/Summary: | PDF Full Text Request | | This work characterizes a sensor technology employing thin coating film deposited on a Quartz Crystal Microbalance (QCM) device. The specific objective of this technology is to predict analyte concentration in rapid response. This work develops ion exchange/adsorption models to interpret sensor signal to analyte concentration. Several practical cases from industry or literature were studied. Emphasis has been placed on chemical and biochemical analyte detection. This work has demonstrated that the proposed method can rapidly predict analyte concentration with continuous step-changes, which will significantly strengthen the QCM sensor technology. | | Keywords/Search Tags: | Analyte concentration, Sensor, Technology | PDF Full Text Request | Related items |
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