光谱学与光谱分析 |
|
|
|
|
|
Rapid Detection of Ammonia Nitrogen in Water with Dual-Wavelength Spectroscopy |
WU Hui-ling1, HU Zhan-bo1*, CHAI Xin-sheng2, WANG Cui1, YANG Ou-meng1 |
1. School of Environment, Guangxi University, Nanning 530004, China 2. State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510641, China |
|
|
Abstract Ammonia nitrogen is an important indicator to measure the quality of surface water. In the process of detecting ammonia nitrogen content with Nessler’s reagent spectrophotometry method (HJ535—2009), water sample pretreatment (flocculation method), residual turbidity and instrument baseline drifting will bring uncertainty to the process. Accordingly, a spectroscopic method based on dual-wavelength (420 and 650 nm) measurement is proposed, so as to subtract the absorbance of residual turbidity and instrument baseline-drifting to eliminate such interference. We first figure out k, the turbidity correction coefficient of the water sample at the wavelength 420 nm, then divide the product of absorbance of 650 and k by the absorbance of 420, and finally obtain the net absorption of ammonia nitrogen chromogenic reaction. Thus we can make accurate quantitative detection of ammonia nitrogen content and evaluate the precision and accuracy of dual-wavelength spectrometry. The results shows that, with single-wavelength method, the relative deviation can be up to 8.67% caused by the filtration process of flocculation and sedimentation, while the dual-wavelength method would not be affected by the deviation, since dual-wavelength method includes no filtration process. The accuracy standard deviation of dual-wavelength method could be as low as 1.58%, and the recovery is between 98.5% and 103%, which shows that the method is more accurate and reliable. Compared with the current Nessler’s reagent spectrophotometric method, the present method not only omits the process of water sample pretreatment, but also avoids the interference of residual turbidity, which could significantly improve the efficiency of the experiment. Therefore, it is more suitable for rapid determination of ammonia nitrogen in large quantities of surface water samples.
|
Received: 2015-02-02
Accepted: 2015-05-18
|
|
Corresponding Authors:
HU Zhan-bo
E-mail: hzb2005@126.com
|
|
[1] National Environmental Protection Bureau(国家环境保护总局). Monitoring and Analysis Method of Water and Waster Water(Edition 4)(水和废水检测分析方法)(第4版). Beijing: China Standard Press(北京: 中国环境科学出版社), 2002. 276. [2] Sonia Senra-Ferreiro, Francisco Pena-Pereira, Isabel Costas-Mora. Talanta, 2011, 85(3): 1448. [3] Shoji T, Nakamura E. Analytical Sciences,2010, 26(7): 779. [4] FU Jiao-feng, CHEN Shi-jian, ZHANG Ting(傅娇凤, 陈世俭, 张 婷). Environmental Science & Technology(环境科学与技术),2013, 27(1): 92. [5] ZHANG Bang-xi, XIA Pin-hua, LI Cun-xiong(张邦喜, 夏品华, 李存雄). Environmental Monitoring in China(中国环境监测),2012, 28(1): 37. [6] Nesrine T Lamie. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2015, 149: 201. [7] Ahmed S Saad. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2015, 147: 257. [8] CHEN Hai-xiang, HU Hui-chao, ZENG Jia-xin(陈海翔, 胡会超, 曾嘉欣). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(9): 2566. |
[1] |
HUANG Jian1,2, HUANG Shan1,2, ZHANG Hua1,2, HUANG Xian-huai1,2*, ZHANG Yong1,2, TAO Yong1,2, TANG Yu-chao1,2, WANG Meng1,2. Near Infrared Spectroscopy Study on Nitrogen in Shortcut Nitrification and Denitrification Using Principal Component Analysis Combined with BP Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(10): 3399-3403. |
[2] |
LIU Hong-yue1, LIANG Da-kai1, ZENG Jie1, CAO Zhi-bin2, ZENG Jian-min3 . Study on Ammonia-N Degradation Monitoring by Analyzing Long-Period Fiber Grating Spectrum Character [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(09): 2456-2459. |
|
|
|
|