Scientific Paper
Sensitivity prediction and analysis of nanofiber-based gas sensors using solubility and vapor pressure parameters
Summary
Solubility (relative energy density) and vapour pressure are used to predict the sensitivity of QCM gas sensors coated with polyvinyl acetate nanofibres. A k-nearest neighbour regression on these two parameters fits the measured sensitivities almost perfectly, offering a quick way to pick sensing materials for a given target gas.
Summary written by the openQCM team. The original abstract is on the publisher’s page.
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