Nitrate Nitrogen Quantification via Ultraviolet Absorbance: A Case Study in Agricultural and Horticultural Regions in Central China
Soil nitrate nitrogen (NO3−-N) is a key indicator of agricultural non-point source pollution. The ultraviolet (UV) dual-wavelength method is widely used for NO3−-N detection, but interference from complex soil organic matter affects its accuracy. This study investigated how organic matter influences NO3−-N detection by optimizing UV dual-wavelength combinations. Density functional theory (DFT) calculations showed slight spectral broadening of fulvic and humic acids in the presence of NO3−-N under UV spectrum. Standard solutions and soil samples were used to compare the detection performance of different wavelength pairs. The findings indicated that the dual-wavelength combination of 235 nm/275 nm is optimal rather than 220 nm/275 nm for measuring soil samples at NO3−-N concentrations exceeding 5 mg·L−1. The 235/275 nm method gave an average calibration coefficient of 1.57. Compared to the national standard and flow analysis methods, the average relative errors were 19.7% and 22.3% (p < 0.001), respectively, indicating its suitability for practical soil applications. These results demonstrate the method’s potential for rapid and accurate NO3−-N detection in real soil samples, supporting its application in environmental monitoring and agricultural management.
Authors
- Vijaya Raghavan (ORCID: https://orcid.org/0000-0003-1819-6710)
- Jiandong Hu (ORCID: https://orcid.org/0000-0002-1944-2840)
- Junfeng Wu
- Abiodun Yusuff Moshood (ORCID: https://orcid.org/0000-0002-0917-8396)
- Muhammad Awais (ORCID: https://orcid.org/0000-0001-8993-4667)
- Guoqing Zhao (ORCID: https://orcid.org/0000-0003-4553-2417)
- Mukhtar Iderawumi Abdulraheem (ORCID: https://orcid.org/0000-0002-6745-378X)
- Linze Li (ORCID: https://orcid.org/0000-0001-5362-8991)
- Yanyan Zhang (ORCID: https://orcid.org/0009-0009-2730-0816)
- Jing Chen (ORCID: https://orcid.org/0000-0002-2872-3353)
- Yongqi Chen (ORCID: https://orcid.org/0000-0001-9567-2456)
- Yiheng Zang (ORCID: https://orcid.org/0009-0007-1732-0229)
- Yani Xiong
- Kuan Geng
Institutions
- Swansea University (GB)
- Henan Agricultural University (CN)
- McGill University (CA)
Publication Details
- Journal
- Agriculture
- Published
- 2025-05-23
- DOI
- https://doi.org/10.3390/agriculture15111131
- Citations
- 6
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 5.98