Nitrate Nitrogen Quantification via Ultraviolet Absorbance: A Case Study in Agricultural and Horticultural Regions in Central China
Yiheng Zang,
Jing Chen,
Muhammad Awais,
Mukhtar Iderawumi Abdulraheem,
Moshood Abiodun Yusuff,
Kuan Geng,
Yongqi Chen,
Yani Xiong,
Linze Li,
Yanyan Zhang,
Vijaya Raghavan,
Jiandong Hu,
Junfeng Wu,
Guoqing Zhao
Affiliations
Yiheng Zang
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Jing Chen
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Muhammad Awais
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Mukhtar Iderawumi Abdulraheem
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Moshood Abiodun Yusuff
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Kuan Geng
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Yongqi Chen
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Yani Xiong
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Linze Li
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Yanyan Zhang
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Vijaya Raghavan
Department of Bioresource Engineering, Faculty of Agriculture and Environmental Studies, McGill University, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada
Jiandong Hu
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Junfeng Wu
Henan International Joint Laboratory of Laser Technology in Agriculture Sciences, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou 450002, China
Guoqing Zhao
School of Management, Swansea University, Swansea SA2 8PP, UK
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 3−-N detection in real soil samples, supporting its application in environmental monitoring and agricultural management.
