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Research Progress of Detection for Nanoparticles in Water |
ZHAO Chun1,2,3, ZHANG Xuan1,2, SUN Zhi-hua3, YANG Guang3, ZHU Yun-hua1,2, SI Bin1,2, ZHENG Huai-li1,2 |
1. Key Laboratory of the Three Gorges Reservoir, Chongqing University,Chongqing 400045, China
2. National Centre for International Research of Low-carbon and Green Buildings, Chongqing University, Chongqing 400045, China
3. College of Water Conservancy and Architectural Engineering,Shihezi University,Shihezi 832003,China |
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Abstract With the broad application of nanomaterials in cosmetics and other industries, the more and more nanoparticles have been released into the aquatic environment, which leads to a number of inevitable environmental issues. At the same time, they cause a negative effect on all kinds of organism including human being. Hence, the enrichment and detection technologies of nanoparticles in water have attracted more and more attention. Currently, a variety of technologies can be used to detect the concentration of trace nanoparticles, but they all have certain limitations in sensitivity and accuracy. In this paper, the pretreatment techniques such as ultrafiltration, chromatography, solid phase extraction, and cloud point extraction of nanoparticles in aquatic environment are generalized. The common detection techniques of nanoparticles, such as spectrum technology, the inductively coupled with plasma mass spectrometry and electrochemical detection techniques are summarized. Moreover, the further development prospects of pretreatment and detection technologies of nanoparticles are also discussed.
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Received: 2016-05-06
Accepted: 2016-10-05
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[1] Beer A. Annalen der Physik,1852, 162(5): 78.
[2] Gao F, Schaaf C B, Strahler A H, et al. Remote Sensing of Environment,2003, 86: 198.
[3] Nirmal Keshava, John F Mustard. IEEE Signal Processing Magazine, 2002. 44.
[4] Jason Bertrand Rapp. Identification of Orbital Objects by Spectral Analysis and Observation of Space Environment Effects. The Faculty of California Polytechnic State University. the Degree Master of Science in Aerospace Engineering,2012.
[5] Bernie Klem, Dave Swann. Streamlined Modeling for Characterizing Spacecraft Anomalous Behavior. AMOS Technology Conference, America, 2011. 13.
[6] Thomas Hilker, Nicholas C Coops, Forrest G Hall. Remote Sensing of Environment,2008,(112): 2777.
[7] Sylvia C Pont, Andrea J van Doorn, Susan F te Pas. Perceptual Qualities of Optically Mixed Materials. The 3rd International Conference on Appearance. Edinburgh, UK. 2012, April,17.
[8] WANG Qiu-shi, MA Li-zhuang, ZENG Zhou(王秋实, 马利庄, 曾 洲). Journal of System Simulation(系统仿真学报), 2008, 20(11): 2931.
[9] LI Jun-lin, ZHANG Li-ming, CHEN Hong-yao, et al(李俊麟. 张黎明, 陈红耀,等). Acta Optica Sinica(光学学报), 2014, 34(5): 0528002-1.
[10] Bai Lu, Wu Zhensen, Cao Yunhua, et al. Optics Express,2014, 22(7): 8515.
[11] CHEN Chao, ZHAO Yong-qiang, LUO Li, et al(陈 超, 赵永强, 罗 丽,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2010, 30(3): 729.
[12] Nicholas C Strugnell, Wolfgang Lucht. Journal of Climate, 2000, 14: 1360.
[13] CHENG Tian-hai, GU Xing-fa, CHEN Liang-fu, et al(程天海, 顾行发, 陈良富,等). Acta Physica Sinica(物理学报),2008, 57(8): 5323.
[14] SONG Wei, FENG Shi-qi, SHI Jing, et al(宋 薇, 冯诗琪, 石 晶,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2015, 35(6): 1465.
[15] Kira Jorgensen Abercromby, Jennifer Okada, Michael Guyote. Comparisons of Ground Truth and Remote Spectral Measurements of the FORMOSAT and ANDE Spacecraft. 2007 AMOS Technical Conference, Wailea, Maui, Havaii. September 2006.
[16] Patrick Seitzer, Susan M Lederer, Heather Cowardin, et al. Visible Light Spectroscopy of GEO Debris. AMOS Technical Conference, Houston, 2012, September,11.
[17] Nicodemus F E, Richmond J C,Hsia J J. Geometrical Considerations and Nomenclature for Reflectance. PB-273429, 1977. |
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