Gate-Optimized rGO-Flake-Based Field-Effect Transistor for Selective Detection of Nitrogen in Soil for Precision Farming

The inadequate use of fertilizer leads to an imbalance of nitrogen in soil, which presents significant challenges to sustainable agriculture. To address this issue, a novel soil nitrogen sensor using reduced graphene oxide (rGO)-based field-effect transistor (FET) is proposed. In soil, nitrogen is present in the form of nitrate, nitrite, and ammonium ion, but as nitrite content is exceptionally low, detection of nitrite is not possible. Most of the research focus on nitrate detection, but simultaneous detection of nitrate and ammonium ions is highly significant and challenging. The proposed concept enables a single FET device to detect both ammonium and nitrate ions at different gate potentials. The sensor demonstrates a very high response of 1050 % for 3.5 ppm nitrate ion with the sensitivity of 0.9 μA/ppm and 860 % for 3.5 ppm ammonium ion with the sensitivity of 0.45 μA/ppm at an optimized Vgs of 3.9 V and 0.8 V, respectively. Moreover, the sensor exhibits promising attributes, including high selectivity and rapid response (35 seconds for NO3- ions and 41 seconds for NH4+ ions). This facilitates real-time monitoring of soil nitrogen levels for precision agriculture applications.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-05-05
DOI
https://doi.org/10.1109/jsen.2025.3565148
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

Gate-Optimized rGO-Flake-Based Field-Effect Transistor for Selective Detection of Nitrogen in Soil for Precision Farming

Tarun Kanti Bhattacharyya, Nimisha, Avik Sett, V.K. Tewari
IEEE Sensors Journal
Analytical Chemistry and Sensors
article

Gate-Optimized rGO-Flake-Based Field-Effect Transistor for Selective Detection of Nitrogen in Soil for Precision Farming

Tarun Kanti Bhattacharyya, Nimisha, Avik Sett, V.K. Tewari
article en

Abstract

The inadequate use of fertilizer leads to an imbalance of nitrogen in soil, which presents significant challenges to sustainable agriculture. To address this issue, a novel soil nitrogen sensor using reduced graphene oxide (rGO)-based field-effect transistor (FET) is proposed. In soil, nitrogen is present in the form of nitrate, nitrite, and ammonium ion, but as nitrite content is exceptionally low, detection of nitrite is not possible. Most of the research focus on nitrate detection, but simultaneous detection of nitrate and ammonium ions is highly significant and challenging. The proposed concept enables a single FET device to detect both ammonium and nitrate ions at different gate potentials. The sensor demonstrates a very high response of 1050 % for 3.5 ppm nitrate ion with the sensitivity of 0.9 μA/ppm and 860 % for 3.5 ppm ammonium ion with the sensitivity of 0.45 μA/ppm at an optimized Vgs of 3.9 V and 0.8 V, respectively. Moreover, the sensor exhibits promising attributes, including high selectivity and rapid response (35 seconds for NO3- ions and 41 seconds for NH4+ ions). This facilitates real-time monitoring of soil nitrogen levels for precision agriculture applications.

IEEE Sensors JournalVol. 25(12)
Indian Institute of Technology Kharagpur (IN), Delft University of Technology (NL)
Zero hunger
Openalex Percentile: Top 88%
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.