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Online rapid total nitrogen detection method based on UV spectrum and spatial interval permutation combination

Jingxuan Geng¹, Chunhua Yang¹, Lijuan Lan¹

¹School of Automation, Central South University, 410083 Changsha, China.

Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy

|March 6, 2022

Summary

This study introduces a new method for rapid total nitrogen (TN) detection in surface water using UV spectroscopy. The technique significantly reduces analysis time to 5 minutes with high accuracy, aiding water protection efforts.

Keywords:

Automatic optical inspection Multivariate calibration Spatial–temporal relationship Total nitrogen (TN) rapid detection Wavelength selection

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Published on: December 20, 2016

Area of Science:

Environmental Chemistry
Analytical Chemistry
Spectroscopy

Background:

Total nitrogen (TN) is a key indicator of surface water eutrophication.
Traditional TN detection methods are time-consuming due to tedious oxygen digestion processes.
Rapid and accurate TN detection is crucial for effective surface water protection.

Purpose of the Study:

To develop a novel online rapid TN detection method for surface water.
To overcome the limitations of traditional methods by reducing detection time.
To improve the speed and accuracy of monitoring water quality.

Main Methods:

Utilized ultraviolet (UV) spectroscopy to observe nitrogenous substance transformations during early oxygen digestion.
Developed a new wavelength selection algorithm, spatial interval permutation combination population analysis (siPCPA), considering spatial-temporal spectral relationships.
Applied the method to real surface water samples from Houhu Lake, Changsha, China.

Main Results:

The proposed method enables TN concentration prediction using spectral variations in the early stages of oxygen digestion.
The siPCPA algorithm effectively selects informative variables from three-dimensional spectra.
Practical application demonstrated TN determination in 5 minutes with a relative error of less than 5%.

Conclusions:

The novel online rapid TN detection method significantly reduces analysis time.
The developed siPCPA algorithm enhances spectral data analysis for accurate TN prediction.
This method offers a fast, accurate, and practical solution for surface water quality monitoring and eutrophication assessment.