Development and application of seawater nitrate sensor based on spectroscopy

WANG Li-li; LIU Xian-hua; MI Ma; ZHANG Qiu-feng; ZONG Yan-ping; ZHANG Yong-feng

doi:10.13873/j.1000-97872014.01.035

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Development and application of seawater nitrate sensor based on spectroscopy

更新时间：2025-09-11

- Development and application of seawater nitrate sensor based on spectroscopy
- Vol. 33, Issue 1, Pages: 75-77+81(2014)
- 作者机构：
  
  1. 天津大学环境科学与工程学院
  2. 西藏自治区环境监测中心站
  3. 国家海洋局天津海洋环境监测中心站
  4. 国家海洋局秦皇岛海洋环境监测中心站
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872014.01.035
  CLC： TP212
- Published：2014
- 稿件说明：
移动端阅览
[1]王莉丽,刘宪华,米玛,张秋丰,宗燕平,张永丰.基于光谱法的海水硝酸盐传感器开发与应用[J].传感器与微系统,2014,33(01):75-77+81.

WANG Li-li, LIU Xian-hua, MI Ma, et al. Development and application of seawater nitrate sensor based on spectroscopy[J]. 2014, 33(1): 75-77+81.
[1]王莉丽,刘宪华,米玛,张秋丰,宗燕平,张永丰.基于光谱法的海水硝酸盐传感器开发与应用[J].传感器与微系统,2014,33(01):75-77+81. DOI： 10.13873/j.1000-97872014.01.035.

WANG Li-li, LIU Xian-hua, MI Ma, et al. Development and application of seawater nitrate sensor based on spectroscopy[J]. 2014, 33(1): 75-77+81. DOI： 10.13873/j.1000-97872014.01.035.

摘要

海水中硝酸盐是无机氮的主要存在形式

也是海洋调查必测项目之一。基于紫外—可见光谱法的检测原理

开发了一种新型的海水硝酸盐检测系统

并利用本检测系统对渤海海区水样进行了实际检测。利用偏最小二乘（PLS）法建立了海水硝酸盐含量与紫外—可见光谱间的数学模型

同时对不同光谱预处理方法和不同建模波段范围下模型的预测性能进行了比较分析。实验结果表明:原始光谱数据的紫外波段建立的模型预测性最好

实测值和预测值的相关系数为0.977

均方根误差为2.04μmol/L。表明该传感器系统可以满足快速检测的需要

可广泛应用于海水水质硝酸盐的在线检测中。

Abstract

Nitrate is the main form of inorganic nitrogen in seawater and is one of government specified events in oceanographic survey. A novel system for nitrate determination is developed based on the UV-Vis spectroscopy.Actual tests are carried out on samples of Bohai Bay by this detecting system. Mathematical models are set up using partial least squares（PLS）

at the same time

estimated performance of model with different spectra preprocessing method and different band ranges are compared and analyzed. Experimental result shows that predictability of model is the best obtained with original spectra of ultraviolet band. Test of the model with an independent dataset exhibits a good agreement between the predicted and observed values

with the correlation coefficient of 0. 977

and RMSE is 2. 04 μmol / L. The results suggest that this sensor system can meet demands for rapid nitrate determination and can be widely used for on-line seawater monitoring.

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references

运用PLS算法由小麦冠层反射光谱反演氮素垂直分布 [J]. 王纪华,黄文江,劳彩莲,张录达,罗长兵,王韬,刘良云,宋晓宇,马智宏. 光谱学与光谱分析 . 2007(07)

尖椒叶片叶绿素含量的近红外检测分析实验研究 [J]. 蒋焕煜,应义斌. 光谱学与光谱分析 . 2007(03)

GB/T 17378.4-1998. 海洋监测规范第4部分: 海水分析 [S]. 1998

Flow analysis methods for the direct ultra-violet spectrophotometric measurement of nitrate and total nitrogen in freshwaters [J] . Brady S. Gentle,Peter S. Ellis,Michael R. Grace,Ian D. McKelvie. Analytica Chimica Acta . 2011 (1)

Spectral optical monitoring of nitrate in inland and seawater with miniaturized optical components [J] . Water Research . 2010 (3)

On‐line monitoring of wastewater quality: a review [J] . WilfridBourgeois,Joanna EBurgess,Richard MStuetz. J. Chem. Technol. Biotechnol. . 2001 (4)

A low power ultra violet spectrophotometer for measurement of nitrate in seawater: introduction, calibration and initial sea trials [J] . Miles S. Finch,David J. Hydes,Charles H. Clayson,Bernhard Weigl,John Dakin,Pat Gwilliam. Analytica Chimica Acta . 1998 (2)

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