Abstract
Surface acoustic wave (SAW) sensors have been coated with different organic polymers. Their sensitivities and selectivities towards gaseous solvents such as water, methanol and automotive fuel in dry air are determined. Four sensors are combined to form an array and a pattern-recognition technqiue (partial least square regression, PLS) is applied to sensor responses obtained from ternary mixtures of analytes. The observed sensitivities of the sensor array and the prediction properties of the model are discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
