| 光谱学与光谱分析 |
|
|
|
|
|
| Development of a Multi-Spectra Based Portable Water Quality Analyzer |
| MU Hai-yang1，2, LI Yan-jun2*, SHAN Zhan-hu1, WU Tie-jun1 |
1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027，China
2. Key Laboratory of Intelligent Systems, Zhejiang University City College, Hangzhou 310015，China |
|
|
|
|
Abstract A novel portable multi-parameter water quality analyzer was developed based on the multi-spectra information fusion theory. The analysis method, hardware structures, working principles and software functions are described in the present paper. As a small size, rapid testing and outdoor green instrument, this analyzer can be used to measure six water organic pollution indicators, including TOC, COD, etc., through analyzing the spectra of a small amount of water sample without any chemical reagent. The practical water analysis experiments showed that the multi-spectra fusion method used by this analyzer possesses a higher measurement precision than that of the UV spectral analysis method, which is popularly used by the water quality analyzers in the market.
|
|
Received: 2009-12-26
Accepted: 2010-03-28
|
|
|
|
Corresponding Authors:
LI Yan-jun
E-mail: liyanjun@zucc.edu.cn
|
|
[1] LI Zheng-hong, GUO Xiu-hong, WANG Shan(李政红，郭秀红，汪 珊). Hydrology(水文)，2006, 26(6): 57, 96.
[2] Hach Company. DREL/2010 Portable Laboratory Manual, USA, 2002.
[3] Langergraber G, Fleischmann N, Hofstdter F. Water Science and Technology, 2003, 47(2): 63.
[4] Charef A, Ghauch A, Baussand P, et al. Measurement, 2000, 28: 219.
[5] ZHANG Rong-biao, FENG Jun, XIE Zhi-chao(张荣标，冯 俊，谢志超). Chinese Journal of Scientific Instrument(仪器仪表学报), 2008, 29(11): 2357.
[6] MI Yun-ping, WANG Xiao-ping, JIN Xin(宓云軿，王晓萍，金 鑫). Journal of Zhejiang University(Engineering Science)(浙江大学学报·工学版), 2008, 42(5): 790.
[7] Bengraine K, Marhaba T F. J. Hazardous Materials B, 2004, 108: 207.
[8] Goslan E H, Voros S, Banks J, et al. Water Research, 2004, 38: 783.
[9] Marhaba T F, Bengraine K, Pu Y, et al. J. Hazardous Materials B, 2003, 97: 83.
[10] LIU Xian-ping, LI Lei, WANG Xiao-ru(柳先平，李 磊，王小如). Advances in Marine Science(海洋科学进展). 2006, 24(4): 472.
[11] XU Jin-gou, WANG Zun-ben(许金钩，王尊本). Fluorescence Analysis Method(Third Edition)(荧光分析法，第3版). Beijing: Science Press(北京: 科学出版社), 2006.
[12] HUANG Jun-li, BAO Zhi-yu(黄君礼，鲍治宇). UV Absorption Apectroscopy and Its Application(紫外吸收光谱法及其应用). Beijing：Science Press(北京: 科学出版社), 1992.
[13] WU Xiao-li, LI Yan-jun, WU Tie-jun(武晓莉，李艳君，吴铁军). Chinese Journal of Analytical Chemistry(分析化学) ，2007, 35(12): 1716.
[14] Suykens J A K, De Brabanter J, Lukas L, et al. Neurocomputing, 2002, 48: 85.
|
| [1] |
YAN Chen1, JIANG Xue-song1*, SHEN Fei2*, HE Xue-ming2, FANG Yong2, LIU Qin2, ZHOU Hong-ping1, LIU Xing-quan3. Visible/Near-Infrared Spectroscopy Combined With Machine Vision for Dynamic Detection of Aflatoxin B1 Contamination in Peanut[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(12): 3865-3870. |
| [2] |
WANG Cai-xia, WANG Song-lei*, HE Xiao-guang, DONG Huan. Detection of Saturated Fatty Acid Content in Mutton by Using the Fusion of Hyperspectral Spectrum and Image Information[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 595-601. |
| [3] |
SUN Hong-wei, PENG Yan-kun*, WANG Fan. Nondestructive Detection of Pork Tenderness Using Spatially Resolved Hyperspectral Imaging Technique Based on Multivariable Statistical Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(11): 3365-3371. |
| [4] |
CAO Kai1, ZHAO Zhong1*, YUAN Hong-fu2, LI Bin2. Identification of Pure Cotton and Mercerized Cotton Fabrics Based on 2-D Correlation Spectra Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(05): 1653-1660. |
| [5] |
LI Xiu-ping1, 2, LI Jie-qing1, LI Tao3, LIU Hong-gao1*, WANG Yuan-zhong2*. The Identification of Edible Boletus Based on Heterogeneous Multi-Spectral Information Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(12): 3897-3904. |
| [6] |
HUANG Di-yun, LI Jing-bin*, YOU Jia, KAN Za. The Classification of Delinted Cottonseeds Varieties by Fusing Image Information Based on Hyperspectral Image Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2227-2232. |
| [7] |
GE Hong-yi1,2, JIANG Yu-ying1,2, ZHANG Yuan2*, LIAN Fei-yu1,2. Study on Nondestructive Detection of Wheat Quality by Using THz Spectroscopy and Multisource Information Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3338-3342. |
| [8] |
ZHOU Kun-peng1, 2, BI Wei-hong1*, XING Yun-hai1, CHEN Jun-gang1, ZHOU Tong1, FU Xing-hu1 . Multi Spectral Detection of Ethanol Content in Gasoline Based on SiPLS Feature Extraction and Information Fusion [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(02): 429-434. |
| [9] |
ZHENG Ling1, 2, ZHU Da-zhou3, DONG Da-ming1, ZHANG Bao-hua1，WANG Cheng1, ZHAO Chun-jiang1*. Monitoring of Winter Wheat Aboveground Fresh Biomass Based on Multi-Information Fusion Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1818-1825. |
| [10] |
DONG Gao1, 2, GUO Jian1, WANG Cheng2, CHEN Zi-long2, ZHENG Ling2, ZHU Da-zhou2,3* . The Classification of Wheat Varieties Based on Near Infrared Hyperspectral Imaging and Information Fusion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(12): 3369-3374. |
| [11] |
WU Guo-qing, BI Wei-hong* . Research on Chemical Oxygen Demand Optical Detection Method Based on the Combination of Multi-Source Spectral Characteristics [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(11): 3071-3074. |
| [12] |
XIANG Ling-li1, LI Meng-hua1, LI Jing-ming2*, LI Jun-hui1, ZHANG Lu-da1, ZHAO Long-lian1* . Determination of Wine Original Regions Using Information Fusion of NIR and MIR Spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(10): 2662-2666. |
|
|
|
|
