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Development of a Detection Algorithm for Use with Reflectance-Based, Real-Time Chemical Sensing.
Malanoski, Anthony P; Johnson, Brandy J; Erickson, Jeffrey S; Stenger, David A.
Afiliação
  • Malanoski AP; Center for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA. anthony.malanoski@nrl.navy.mil.
  • Johnson BJ; Center for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA. brandy.white@nrl.navy.mil.
  • Erickson JS; Center for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA. jeffrey.erickson@nrl.navy.mil.
  • Stenger DA; Center for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA. david.stenger@nrl.navy.mil.
Sensors (Basel) ; 16(11)2016 Nov 16.
Article em En | MEDLINE | ID: mdl-27854335
Here, we describe our efforts focused on development of an algorithm for identification of detection events in a real-time sensing application relying on reporting of color values using commercially available color sensing chips. The effort focuses on the identification of event occurrence, rather than target identification, and utilizes approaches suitable to onboard device incorporation to facilitate portable and autonomous use. The described algorithm first excludes electronic noise generated by the sensor system and determines response thresholds. This automatic adjustment provides the potential for use with device variations as well as accommodating differing indicator behaviors. Multiple signal channels (RGB) as well as multiple indicator array elements are combined for reporting of an event with a minimum of false responses. While the method reported was developed for use with paper-supported porphyrin and metalloporphyrin indicators, it should be equally applicable to other colorimetric indicators. Depending on device configurations, receiver operating characteristic (ROC) sensitivities of 1 could be obtained with specificities of 0.87 (threshold 160 ppb, ethanol).
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article