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An in-situ monitoring system for nitrate based on ultraviolet absorption spectrum and partial least squares
Author(s): Yao-Bin Hou; Wei-Wei Feng; Zong-Qi Cai
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Paper Abstract

A monitoring system for nitrate concentration in seawater based on ultraviolet absorption spectrum is discussed. The monitoring system can realize in-situ real-time monitoring and provide a large amount of monitoring data for Marine environmental analysis, which has fast measurement speed, simple operation, long time continuous monitoring and reagent-free. Savitzky-golay (SG) convolution smoothing pretreatment is used in the calculation, which can remove noise through spectral pretreatment of the acquired absorption spectral data. According to the relationship between the concentration of nitrate and the absorbance in ultraviolet, Partial least square method (PLS) is used in the model established to measure the nitrate concentration. Based on the interval Partial Least Square (iPLS), the ultraviolet absorption spectrum of 219-244 nm is selected in the model to represent the whole band for modeling, which can reduce calculation time and increase model accuracy. The optimal number of principal component was determined to be 3 on the basis of cross-validation Qh2. By laboratory system evaluation, for the artificial seawater with NO3--N concentration of 30-750μg/l, the nitrate concentration using PLS model is higher in linear correlation to its actual concentration (R2=0.999) in which the Root Mean Squared Error(RMSE) is 10.27, mean absolute error is 8.02 μg/l, average relative error is 2.4%, indicating that the system has high detection accuracy and good stability, and is suitable for the continuous monitoring of nitrate concentration in low-nutrient seawater.

Paper Details

Date Published: 20 November 2019
PDF: 8 pages
Proc. SPIE 11192, Real-time Photonic Measurements, Data Management, and Processing IV, 111920Z (20 November 2019); doi: 10.1117/12.2537003
Show Author Affiliations
Yao-Bin Hou, Yantai Institute of Coastal Zone Research (China)
Univ. of Chinese Academy of Sciences (China)
Wei-Wei Feng, Yantai Institute of Coastal Zone Research (China)
Univ. of Chinese Academy of Sciences (China)
Zong-Qi Cai, Yantai Institute of Coastal Zone Research (China)


Published in SPIE Proceedings Vol. 11192:
Real-time Photonic Measurements, Data Management, and Processing IV
Ming Li; Bahram Jalali; Mohammad Hossein Asghari, Editor(s)

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