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A non-linear analytical model to estimate the response and recovery times of gaseous ammonia nanosensor.

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Title: A non-linear analytical model to estimate the response and recovery times of gaseous ammonia nanosensor.
Authors: Baskar, Chanthini1, Nesakumar, Noel2, Rayappan, John Bosco Balaguru3, Doraipandian, Manivannan1 dmv@cse.sastra.edu
Source: Measurement (02632241). Sep2018, Vol. 125, p176-181. 6p.
Subjects: Nanosensors, Optical fiber detectors, Carbon nanotubes, Transient responses (Electric circuits), Electric circuit theory
Abstract: Nanosensors have been widely used for detecting toxic and volatile gases present in indoor and outdoor environment due to their swift response and recovery characteristics. They exhibit high selectivity, sensitivity, quick response and recovery signatures towards target gases. However, determination of the response and recovery time from the transient response of the chemiresistive sensor needs to be accurate to exactly represent the figure of merits of nanosensors. In this context, a non-linear model has been employed to analyse the transient response and recovery curves of a chemiresistive ammonia sensor using nanostructured cobalt-doped-ZnO thin film. Modified Hill equations have been developed based on sigmoidal behaviour of the transient curves. Based on the error analysis, only the response t 95% and recovery t 95% model showed best results in validation with a low relative prediction error of 0.003 and 0.001 and low root mean square error for cross validation of 9.5 and 4.68 respectively. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:Nanosensors have been widely used for detecting toxic and volatile gases present in indoor and outdoor environment due to their swift response and recovery characteristics. They exhibit high selectivity, sensitivity, quick response and recovery signatures towards target gases. However, determination of the response and recovery time from the transient response of the chemiresistive sensor needs to be accurate to exactly represent the figure of merits of nanosensors. In this context, a non-linear model has been employed to analyse the transient response and recovery curves of a chemiresistive ammonia sensor using nanostructured cobalt-doped-ZnO thin film. Modified Hill equations have been developed based on sigmoidal behaviour of the transient curves. Based on the error analysis, only the response t 95% and recovery t 95% model showed best results in validation with a low relative prediction error of 0.003 and 0.001 and low root mean square error for cross validation of 9.5 and 4.68 respectively. [ABSTRACT FROM AUTHOR]
ISSN:02632241
DOI:10.1016/j.measurement.2018.04.079