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Development of a Detection Algorithm for Use with Reflectance-Based, Real-Time Chemical Sensing.
Anthony P Malanoski1, Brandy J Johnson2, Jeffrey S Erickson3
1Center for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC 20375, USA. anthony.malanoski@nrl.navy.mil.
Sensors (Basel, Switzerland)
|November 18, 2016
Summary
This study presents an algorithm for real-time event detection using color sensors, focusing on identifying occurrences rather than specific targets for portable applications. The method minimizes false positives by analyzing multiple color channels and indicator elements.
Area of Science:
- Analytical Chemistry
- Sensor Technology
- Algorithm Development
Background:
- Real-time sensing applications require robust event detection.
- Commercially available color sensing chips offer potential for portable detection systems.
- Existing methods may struggle with device variations and indicator behavior.
Purpose of the Study:
- To develop an algorithm for identifying detection events in real-time.
- To enable portable and autonomous sensing applications.
- To create a noise-excluding algorithm with automatic threshold adjustment.
Main Methods:
- Algorithm development for event identification, not target identification.
- Onboard device incorporation for portability and autonomy.
- Exclusion of electronic noise and determination of response thresholds.
- Combination of multiple signal channels (RGB) and indicator array elements.
Main Results:
- The algorithm successfully identifies event occurrences with minimal false responses.
- Automatic adjustment accommodates device variations and differing indicator behaviors.
- High sensitivity (ROC 1) and specificity (0.87 at 160 ppb ethanol) achievable.
Conclusions:
- The developed algorithm is effective for real-time event detection in colorimetric sensing.
- The approach is suitable for portable, autonomous applications.
- The method is adaptable to various colorimetric indicators beyond porphyrins.
