In Situ Rapid Detection of Soil Nitrate Nitrogen via Dielectric Spectroscopy Using a Dual-Band Frequency-Splitting Coupled Sensor
Traditional detection methods for soil nitrate nitrogen (NO<sub>3</sub><sup>-</sup>-N), a critical nutrient for crop growth, suffer from poor timeliness and susceptibility to matrix interference. To address these issues, this study presents a novel dual-band frequency-splitting coupled sensor with a concentric copper ring structure for in situ rapid detection of soil NO<sub>3</sub><sup>-</sup>-N via dielectric spectroscopy. The key technological innovation lies in using the low-frequency band (1-50 MHz) to isolate water and salinity interferences via stable impedance matching of the copper rings and capturing the characteristic NO<sub>3</sub><sup>-</sup>-N relaxation signals in the high-frequency band (100-500 MHz) via enhanced electromagnetic coupling. Field trials across five soil types (brown, black, red, saline-alkali, and loess) demonstrated excellent performance, with determination coefficient (<i>R</i><sup>2</sup>) values of 0.943-0.987, mean absolute error values of ≤0.75 mg/kg, root-mean-square error values of ≤0.92 mg/kg, and millisecond-level response. Signal drift remained <0.25 mg/kg even under extreme conditions (-5 °C, 90% relative humidity (RH)), with Pearson correlation coefficient values of 0.995-0.999 in typical agricultural scenarios (pre/postfertilization and precipitation). The developed sensor eliminates the need for sampling and pretreatment, reducing the detection time from 3-5 days using traditional methods to milliseconds, and provides high-precision data for dynamic nitrogen management. Moreover, the IoT integration potential of the sensor advances smart agriculture and sustainable development.
Authors
- Zhenying Wang (ORCID: https://orcid.org/0000-0001-6866-440X)
- Shijun Sun (ORCID: https://orcid.org/0000-0003-0495-4496)
- S. N. Chen
- Hang Li (ORCID: https://orcid.org/0000-0002-8486-6631)
- Jian Gu (ORCID: https://orcid.org/0000-0001-7931-1220)
- Yongqi Liu (ORCID: https://orcid.org/0000-0003-0396-3745)
- Guanghua Yin
- Ningning Ma
- Peiqi Xin
- Shuang Wang (ORCID: https://orcid.org/0009-0007-1593-258X)
Institutions
- Shenyang Agricultural University (CN)
- China Association for Science and Technology (CN)
- United States Golf Association (US)
- Shenyang Science and Technology Bureau (CN)
- Institute of Applied Ecology (CN)
- Academia Sinica (TW)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1021/acssensors.5c03028
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00