A Low-Cost, Open-Source, In Situ, Near-Real-Time Sensor for the Detection of Nitrate and Ammonia in Environmental Waters

Elevated levels of ammonia and nitrate in water bodies contribute to environmental issues such as eutrophication and pose serious risks to human health and aquatic life. Traditional monitoring methods rely on grab sampling, and existing in situ sensor technologies are often prohibitively expensive, which limits their widespread deployment. This study presents a low-cost, in situ, near-real-time sensor and a hand-held device for the detection and monitoring of ammonia and nitrate in water. The hand-held device demonstrated excellent performance during laboratory testing, achieving an R 2 of 0.96 when estimating both ammonia and nitrate concentrations in real environmental samples. It reliably quantified both nutrients across a broad range, with accurate measurements observed up to 10 mg/L. The in situ system showed reliable performance for ammonia in environmental samples ( R 2 = 0.76) and detected ammonia down to 0.1 mg/L. However, below this threshold, signal variability increased, and measurements became less consistent. During four field sampling periods, it demonstrated reliable performance in measuring ammonia concentrations, achieving an R 2 of 0.86 and a Nash–Sutcliffe efficiency (NSE) of 0.83. The results showed that the low-cost sensor can operate for 2 weeks by sampling every 40 min using just one kit of low-cost reagents (16 USD per kit, and 0.09 USD per sample).

Authors

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2026-06-28
DOI
https://doi.org/10.1021/acsestwater.6c00349
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Low-Cost, Open-Source, In Situ, Near-Real-Time Sensor for the Detection of Nitrate and Ammonia in Environmental Waters

Mehran Janmohammadi, Baiqian Shi, David McCarthy
ACS ES&T Water
Analytical Chemistry and Sensors
article

A Low-Cost, Open-Source, In Situ, Near-Real-Time Sensor for the Detection of Nitrate and Ammonia in Environmental Waters

Mehran Janmohammadi, Baiqian Shi, David McCarthy
article en

Abstract

Elevated levels of ammonia and nitrate in water bodies contribute to environmental issues such as eutrophication and pose serious risks to human health and aquatic life. Traditional monitoring methods rely on grab sampling, and existing in situ sensor technologies are often prohibitively expensive, which limits their widespread deployment. This study presents a low-cost, in situ, near-real-time sensor and a hand-held device for the detection and monitoring of ammonia and nitrate in water. The hand-held device demonstrated excellent performance during laboratory testing, achieving an R 2 of 0.96 when estimating both ammonia and nitrate concentrations in real environmental samples. It reliably quantified both nutrients across a broad range, with accurate measurements observed up to 10 mg/L. The in situ system showed reliable performance for ammonia in environmental samples ( R 2 = 0.76) and detected ammonia down to 0.1 mg/L. However, below this threshold, signal variability increased, and measurements became less consistent. During four field sampling periods, it demonstrated reliable performance in measuring ammonia concentrations, achieving an R 2 of 0.86 and a Nash–Sutcliffe efficiency (NSE) of 0.83. The results showed that the low-cost sensor can operate for 2 weeks by sampling every 40 min using just one kit of low-cost reagents (16 USD per kit, and 0.09 USD per sample).

ACS ES&T Water
Queensland University of Technology (AU), Monash University (AU), University of Guelph (CA)
Clean water and sanitation
Openalex Percentile: Top 12%
Analytical Chemistry and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.