Two-Minute Onsite Detection of Agricultural Water Nitrogen Pollution with an Ammonia Gas Sensing System

Nitrogen pollution from agriculture is one of the major environmental problems. A high proportion of the fertilizers leached into the environment by runoff water, causing eutrophication and biodiversity damage. This study employed a semiconductor ammonia gas sensor to detect total ammonia nitrogen (TAN) pollution through fertilization as ammonia emissions correlate with the aqueous ammonium ion concentration. The sensor has a vertical conduction channel and a high sensitivity. The gas method is compared with the conventional indophenol method. It shows consistent results from the drinking water criterion of 0.5 mg/L to the acute criterion of 17 mg/L nitrogen pollution. The gas method is more convenient. For a given nitrogen dose, by comparison of two kinds of popular fertilizers, ammonium sulfate and urea, the lower ammonium concentration for urea is discovered. This gas sensor was applied to track the TAN runoff of the rice field to reveal that after base fertilization, there is an ammonium shock exceeding regulations. Therefore, real-time monitoring is necessary to assess the time-dependent environmental impacts and develop optimized fertilization schedules considering the cost of fertilization and the environment. The gas sensor is an ideal tool for these approaches to controlling nitrogen pollution.

Authors

Institutions

Publication Details

Journal
ACS ES&T Water
Published
2025-05-22
DOI
https://doi.org/10.1021/acsestwater.4c01143
Citations
2
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
1.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-Minute Onsite Detection of Agricultural Water Nitrogen Pollution with an Ammonia Gas Sensing System

Te-Yao Liu, Yu-Yu Huang, Li‐Yin Chen, Olivier Soppera et al.
2 citations
ACS ES&T Water
Water Quality Monitoring and Analysis
1.99
article

Two-Minute Onsite Detection of Agricultural Water Nitrogen Pollution with an Ammonia Gas Sensing System

Te-Yao Liu, Yu-Yu Huang, Li‐Yin Chen, Olivier Soppera, Hsin‐Fei Meng, Hsiao‐Wen Zan, Yiyu Chen, Chih-Lu Chiang
article en
2 citations

Abstract

Nitrogen pollution from agriculture is one of the major environmental problems. A high proportion of the fertilizers leached into the environment by runoff water, causing eutrophication and biodiversity damage. This study employed a semiconductor ammonia gas sensor to detect total ammonia nitrogen (TAN) pollution through fertilization as ammonia emissions correlate with the aqueous ammonium ion concentration. The sensor has a vertical conduction channel and a high sensitivity. The gas method is compared with the conventional indophenol method. It shows consistent results from the drinking water criterion of 0.5 mg/L to the acute criterion of 17 mg/L nitrogen pollution. The gas method is more convenient. For a given nitrogen dose, by comparison of two kinds of popular fertilizers, ammonium sulfate and urea, the lower ammonium concentration for urea is discovered. This gas sensor was applied to track the TAN runoff of the rice field to reveal that after base fertilization, there is an ammonium shock exceeding regulations. Therefore, real-time monitoring is necessary to assess the time-dependent environmental impacts and develop optimized fertilization schedules considering the cost of fertilization and the environment. The gas sensor is an ideal tool for these approaches to controlling nitrogen pollution.

ACS ES&T WaterVol. 5(6)
Centre National de la Recherche Scientifique (FR), Pioneer (United States) (US), National Yang Ming Chiao Tung University (TW), Institut de Sciences des Matériaux de Mulhouse (FR), Applied Photonics (United Kingdom) (GB), Taiwan Agricultural Research Institute Council of Agriculture, Executive Yuan (TW), Institute of Physics of the Slovak Academy of Sciences (SK)
Clean water and sanitation
Openalex Percentile: Top 14%
Water Quality Monitoring and Analysis
1.99
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.