ArticleSensors (Basel, Switzerland)2022
LED PEDD Discharge Photometry: Effects of Software Driven Measurements for Sensing Applications.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- A Comparative Study of Optical Sensing Methods for Colourimetric Bio/Chemical Detection: Cost, Scale, and Performance.Sensors (Basel, Switzerland) · 2025Article
- Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks.Sensors (Basel, Switzerland) · 2023Article
- Advanced IoT Pressure Monitoring System for Real-Time Landfill Gas Management.Sensors (Basel, Switzerland) · 2023Article
- A paired emitter-detector diode-based photometer for the determination of sodium hypochlorite adulteration in milk.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
This work explores the effects of embedded software-driven measurements on a sensory target when using a LED as a photodetector. Water turbidity is used as the sensory target in this study to explore these effects using a practical and important water quality parameter. Impacts on turbidity measurements are examined by adopting the Paired Emitter Detector Diode (PEDD) capacitive discharge technique and comparing common embedded software/firmware implementations. The findings show that the chosen software method can (a) affect the detection performance by up to 67%, (b) result in a variable sampling frequency/period, and (c) lead to an disagreement of the photo capacitance by up to 23%. Optimized code is offered to correct for these issues and its effectiveness is shown through comparative analyses, with the disagreement reduced significantly from 23% to 0.18%. Overall, this work demonstrates that the embedded software is a key and critical factor for PEDD capacitive discharge measurements and must be considered carefully for future measurements in sensor related studies.
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Registered trials
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