|
|||||
|
|
| 基于光谱法的海水硝酸盐传感器开发与应用 | |
| 引用本文： | 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, 0(1): 75-77,81 |
| 作者姓名： | 王莉丽 刘宪华 米玛 张秋丰 宗燕平 张永丰 |
| 作者单位： | [1]天津大学环境科学与工程学院,天津300072 [2]西藏自治区环境监测中心站,西藏拉萨850000 [3]国家海洋局天津海洋环境监测中心站,天津300457 [4]国家海洋局秦皇岛海洋环境监测中心站,河北秦皇岛066000 |
| 基金项目： | 国家大学生创新创业训练计划资助项目（201210056173）;天津市科技兴海项目（KJXK2011-11） |
| 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。 |
| 关 键 词： | 海水 硝酸盐 紫外—可见光谱法 偏最小二乘法 |
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. Development and application of seawater nitrate sensor based on spectroscopy[J]. Transducer and Microsystem Technology, 2014, 0(1): 75-77,81 | |
| Authors: | WANG Li-li LIU Xian-hua MI Ma ZHANG Qiu-feng ZONG Yan-ping ZHANG Yong-feng |
| Affiliation: | 1. School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; 2. Environmental Monitoring Center Station of Tibet Autonomous Region, Lhasa 850000, China; 3. Tianjin Marine Environmental Center Station, State Oceanic Administration, Tianjin 300457, China; 4. Qinhuangdao Marine Environmental Center Station, State Oceanic Administration, Qinhuangdao 066000, China; ) |
| 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. |
| Keywords: | seawater nitrate ultraviolet-visible （UV-Vis） spectroscopy partial least squares （PLS） |
| 本文献已被 CNKI 维普 等数据库收录！ | |