Study on Particle Size Distribution of Dynamic Light Scattering Nanoparticles Based on Inversion Algorithm

被引:2
|
作者
Nie, Zhihong [1 ]
Yang, Xiaoxia [2 ,3 ]
Hou, Zhixiang [4 ]
Li, Sumin [4 ]
Du, Ronghua [4 ]
机构
[1] Cent S Univ, Sch Civil Engn, Changsha 410076, Hunan, Peoples R China
[2] Chengdu Univ Technol, Coll Earth Sci, Changsha 610059, Hunan, Peoples R China
[3] Minist Land & Resources PR China, Key Lab Geosci Spatial Informat Technol, Changsha 610059, Hunan, Peoples R China
[4] Changsha Univ Sci & Technol, Sch Vehicle & Mech Engn, Changsha 610059, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Dynamic Light Scattering Particle Technique; Regularization Inversion Algorithm;
D O I
10.1166/jno.2017.2274
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Nanoparticles are extensively used in various fields because of its surface and quantum size effects. Therefore, the measurement of nanoparticle size is of great significance to the development of nanotechnology. In order to accurately measure nanoparticles, dynamic light scattering particle technology can be used. However, it needs to solve the integral equation during measurement. In order to solve this problem, regularization inversion algorithm is proposed and designed a particle measurement system in this paper. The experimental results show that the inversion algorithm can accurately measure the particle size of nanoparticles and provide a reference for the development of dynamic light scattering particle technology.
引用
收藏
页码:1207 / 1210
页数:4
相关论文
共 50 条
  • [41] Inversion of Multimodal Particle Size Distribution Based on the Artificial Bee Colony Algorithm
    Shan Liang
    Li Hao-ran
    Hong Bo
    Wang Dao-dang
    Zha Ting-ting
    Kong Ming
    ACTA PHOTONICA SINICA, 2020, 49 (12)
  • [42] Study of inversion on and classification of particle size distribution under dependent model algorithm
    Sun Xiao-gang
    Tang Hong
    Yuan Gui-bin
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28 (05) : 1111 - 1114
  • [43] Study of inversion and classification of particle size distribution under dependent model algorithm
    Department of Automation Measurement and Control, Harbin Institute of Technology, Harbin 150001, China
    Guang Pu Xue Yu Guang Pu Fen Xi, 2008, 5 (1111-1114):
  • [44] Modified regularization method applied to the inversion of particle size distribution from light scattering data
    College of Material Science and Engineering, South China University of Technology, Guangzhou 510640, China
    不详
    不详
    Guangdian Gongcheng, 2006, 12 (44-49):
  • [45] INVERSION OF LOW ANGLE SCATTERING DATA FOR PARTICLE SIZE DISTRIBUTION
    BAUER, SH
    JOURNAL OF CHEMICAL PHYSICS, 1945, 13 (10): : 450 - 451
  • [46] Assessment of an MCMC algorithm convergence for Bayesian estimation of the particle size distribution from multiangle dynamic light scattering measurements
    Boualem, Abdelbassit
    Jabloun, Meryem
    Ravier, Philippe
    Naiim, Marie
    Jalocha, Alain
    BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING (MAXENT 2014), 2015, 1641 : 439 - 446
  • [47] MEASUREMENT OF PARTICLE-SIZE DISTRIBUTION OF LATTICES BY DYNAMIC LIGHT-SCATTERING METHOD
    KLYUBIN, VV
    KRUGLOVA, LA
    SAKHAROVA, NA
    TALLIER, YA
    COLLOID JOURNAL OF THE USSR, 1990, 52 (03): : 405 - 412
  • [48] Regularization Parameter Choice of based on particle swarm optimization in dynamic light scattering Inversion
    Dou, Zhenhai
    Wang, Yajing
    2010 SECOND ETP/IITA WORLD CONGRESS IN APPLIED COMPUTING, COMPUTER SCIENCE, AND COMPUTER ENGINEERING, 2010, : 502 - 505
  • [49] Nonnegative least-squares truncated singular value decomposition to particle size distribution inversion from dynamic light scattering data
    Zhu, Xinjun
    Shen, Jin
    Liu, Wei
    Sun, Xianming
    Wang, Yajing
    APPLIED OPTICS, 2010, 49 (34) : 6591 - 6596
  • [50] MEASUREMENT OF AGGREGATE SIZE DISTRIBUTION BY INVERSION OF ANGULAR LIGHT SCATTERING
    Caumont-Prim, Chloe
    Yon, Jerome
    Coppalle, Alexis
    Ren, Kuan Fang
    ATTI ACCADEMIA PELORITANA DEI PERICOLANTI-CLASSE DI SCIENZE FISICHE MATEMATICHE E NATURALI, 2011, 89