On-line Gas Diffusion Membrane Separation-Flow Injection Analysis with Spectrophotometric Detection for Automated Determination of Ammonia Nitrogen in Complex Industrial Wastewater

Abstract

Determination of ammonia nitrogen (NH 3 -N) in industrial wastewater is often challenged by complex matrix interference, and traditional laboratory analysis cannot provide timely feedback for dynamic process regulation. To address these issues, an automated online gas diffusion membrane separation-flow injection analysis system coupled with salicylate spectrophotometric detection was developed for the rapid determination of NH 3 -N in complex industrial wastewater. The method employs a hollow fiber membrane contactor to selectively separate volatile NH 3 from the complex matrix, effectively eliminating interferences. Under optimized conditions, the method exhibited a linear range of 1.0-50.0 mg L⁻ 1 (R² = 0.9997), with a limit of detection of 0.22 mg L⁻ 1 and limit of quantification of 0.72 mg L⁻ 1 . Precision was excellent, with relative standard deviations (RSDs) below 3.0%. The system showed strong anti-interference performance against salinity up to 35, common co-existing ions, and various organic nitrogen compounds. When applied to real industrial wastewater samples from an ammonia-stripping process, the proposed method provided good agreement with the reference salicylate method (HJ 536-2009) and higher spike recoveries (86.0%-96.7%) compared to the reference procedure. With a sample throughput of 14 samples per hour, the developed method offers a rapid, accurate, automated, and practical solution for high-frequency monitoring of NH 3 -N in complex industrial effluents, supporting improved process control and regulatory compliance.

Article information

Article type
Paper
Accepted
14 Apr 2026
First published
22 Apr 2026

Anal. Methods, 2026, Accepted Manuscript

On-line Gas Diffusion Membrane Separation-Flow Injection Analysis with Spectrophotometric Detection for Automated Determination of Ammonia Nitrogen in Complex Industrial Wastewater

J. Hu, R. Huang, P. Li, Y. Hua and K. Lin, Anal. Methods, 2026, Accepted Manuscript , DOI: 10.1039/D6AY00656F

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