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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]
Copyright of Measurement (02632241) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 130073723
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  Data: A non-linear analytical model to estimate the response and recovery times of gaseous ammonia nanosensor.
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  Data: <searchLink fieldCode="AR" term="%22Baskar%2C+Chanthini%22">Baskar, Chanthini</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Nesakumar%2C+Noel%22">Nesakumar, Noel</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Rayappan%2C+John+Bosco+Balaguru%22">Rayappan, John Bosco Balaguru</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Doraipandian%2C+Manivannan%22">Doraipandian, Manivannan</searchLink><relatesTo>1</relatesTo><i> dmv@cse.sastra.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Measurement+%2802632241%29%22">Measurement (02632241)</searchLink>. Sep2018, Vol. 125, p176-181. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Nanosensors%22">Nanosensors</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+fiber+detectors%22">Optical fiber detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+nanotubes%22">Carbon nanotubes</searchLink><br /><searchLink fieldCode="DE" term="%22Transient+responses+%28Electric+circuits%29%22">Transient responses (Electric circuits)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+circuit+theory%22">Electric circuit theory</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Measurement (02632241) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.measurement.2018.04.079
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      – Code: eng
        Text: English
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        PageCount: 6
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        Type: general
      – SubjectFull: Optical fiber detectors
        Type: general
      – SubjectFull: Carbon nanotubes
        Type: general
      – SubjectFull: Transient responses (Electric circuits)
        Type: general
      – SubjectFull: Electric circuit theory
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              M: 09
              Text: Sep2018
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              Y: 2018
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