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.

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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
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article

In Situ Rapid Detection of Soil Nitrate Nitrogen via Dielectric Spectroscopy Using a Dual-Band Frequency-Splitting Coupled Sensor

Zhenying Wang, Shijun Sun, S. N. Chen, Hang Li et al.
ACS Sensors
Soil Moisture and Remote Sensing
article

In Situ Rapid Detection of Soil Nitrate Nitrogen via Dielectric Spectroscopy Using a Dual-Band Frequency-Splitting Coupled Sensor

Zhenying Wang, Shijun Sun, S. N. Chen, Hang Li, Jian Gu, Yongqi Liu, Guanghua Yin, Ningning Ma, Peiqi Xin, Shuang Wang
article en

Abstract

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.

ACS SensorsVol. 11(1)
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)
Openalex Percentile: Top 61%
Soil Moisture and Remote Sensing
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