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Development and application of a predictive model to detect analyte concentration from a quartz crystal microbalance

Posted on:2006-11-25Degree:Ph.DType:Dissertation
University:Oklahoma State UniversityCandidate:Lin, WangFull Text:PDF
GTID:1451390008450849Subject: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
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