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Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD)

Turbidity is one of the primary metrics to determine water quality in terms of health and environmental concerns, however analysis typically takes place in centralized facilities, with samples periodically collected and transported there. Large scale autonomous deployments (WSNs) are impeded by both...

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Autores principales: Fay, Cormac D., Nattestad, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749822/
https://www.ncbi.nlm.nih.gov/pubmed/35009798
http://dx.doi.org/10.3390/s22010254
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author Fay, Cormac D.
Nattestad, Andrew
author_facet Fay, Cormac D.
Nattestad, Andrew
author_sort Fay, Cormac D.
collection PubMed
description Turbidity is one of the primary metrics to determine water quality in terms of health and environmental concerns, however analysis typically takes place in centralized facilities, with samples periodically collected and transported there. Large scale autonomous deployments (WSNs) are impeded by both initial and per measurement costs. In this study we employ a Paired Emitter-Detector Diode (PEDD) technique to quantitatively measure turbidity using analytical grade calibration standards. Our PEDD approach compares favorably against more conventional photodiode-LED arrangements in terms of spectral sensitivity, cost, power use, sensitivity, limit of detection, and physical arrangement as per the ISO 7027 turbidity sensing standard. The findings show that the PEDD technique was superior in all aforementioned aspects. It is therefore more ideal for low-cost, low-power, IoT deployed sensors. The significance of these findings can lead to environmental deployments that greatly lower the device and per-measurement costs.
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spelling pubmed-87498222022-01-12 Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD) Fay, Cormac D. Nattestad, Andrew Sensors (Basel) Article Turbidity is one of the primary metrics to determine water quality in terms of health and environmental concerns, however analysis typically takes place in centralized facilities, with samples periodically collected and transported there. Large scale autonomous deployments (WSNs) are impeded by both initial and per measurement costs. In this study we employ a Paired Emitter-Detector Diode (PEDD) technique to quantitatively measure turbidity using analytical grade calibration standards. Our PEDD approach compares favorably against more conventional photodiode-LED arrangements in terms of spectral sensitivity, cost, power use, sensitivity, limit of detection, and physical arrangement as per the ISO 7027 turbidity sensing standard. The findings show that the PEDD technique was superior in all aforementioned aspects. It is therefore more ideal for low-cost, low-power, IoT deployed sensors. The significance of these findings can lead to environmental deployments that greatly lower the device and per-measurement costs. MDPI 2021-12-30 /pmc/articles/PMC8749822/ /pubmed/35009798 http://dx.doi.org/10.3390/s22010254 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fay, Cormac D.
Nattestad, Andrew
Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD)
title Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD)
title_full Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD)
title_fullStr Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD)
title_full_unstemmed Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD)
title_short Advances in Optical Based Turbidity Sensing Using LED Photometry (PEDD)
title_sort advances in optical based turbidity sensing using led photometry (pedd)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749822/
https://www.ncbi.nlm.nih.gov/pubmed/35009798
http://dx.doi.org/10.3390/s22010254
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