Method for characterizing grain size of magnetic nanometer grains

A magnetic nanoparticle and magnetic nanoparticle technology, applied in the field of nanometer testing, can solve the problem of false oscillation of particle size distribution and achieve the effect of suppressing false oscillation signal

Inactive Publication Date: 2010-06-09
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Objectively existing measurement errors, limited calculation accuracy and time response speed and other information uncertainties cause false oscillations in particle size distribution measurement problems
However, which factors play a major role and whether they can be improved by optimization methods have not yet been clearly concluded.

Method used

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  • Method for characterizing grain size of magnetic nanometer grains
  • Method for characterizing grain size of magnetic nanometer grains
  • Method for characterizing grain size of magnetic nanometer grains

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[0074] Example: Using VSM (Lake Shore 7410) to test the magnetization curve obtained by testing the EMG1111 magnetic nanoparticle colloid solution produced by a certain company, this test uses 30 points to estimate the particle size of the optimal quantization series. The results are as follows Figure 5 and Figure 6 shown. Figure 5 and Figure 6 The results show that it has good resolution ability of large particle size. Specifically, there are two points. First, the solution results basically eliminate negative numbers. More importantly, due to the further reduction of the solution error in the large particle size, the false oscillation signal has been suppressed. Therefore, the particle size distribution signal of large particles is more prominent, Figure 5 The particle size distribution function exhibits peak characteristics around 6.3nm and 14nm. This result could not be observed directly before. If the particles without adhesion are called primary particles, the...

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Abstract

The invention discloses a method for characterizing grain size of magnetic nanometer grains. The method comprises the following steps of: on the basis of the Fourier analysis of a magnetization curve of an analysis model, working out the minimum number of discretization points needed for the characterization of the magnetization curve within a given tolerance error; providing a weighted error based optimal quantization method on the basis of the Lloyd-Max optimal quantization method; and applying the weighted error based optimal quantization method to the problem of solving a grain size distribution function according to a magnetization numerical equation of the magnetic nanometer grains, so that the condition number of a matrix equation is reduced, and the solving precision is improved.

Description

technical field [0001] The invention relates to the technical field of nanometer testing, in particular to a particle size characterization method of magnetic nanoparticles. Background technique [0002] Magnetic nanoparticles (MNP) use magnetic microcolloids with a scale of 1-100nm as a new generation of molecular biomarker and control technology, which provides the possibility of remote control of specific biological events in vivo. However, the special feature of nanoscale information acquisition is that the Heisenberg uncertainty effect gradually emerges, and the measurement result is expressed as a distribution function rather than a fixed quantity. Generally speaking, distribution functions are often obtained through statistical processes, which means a balance between high precision and real-time performance. Atomic Force Microscope (AFM) and Transmission Electron Microscope (TEM) represent classical mechanics and optical statistical nano-testing technology, so far, ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/02
Inventor 刘文中向青钟景杨光
Owner HUAZHONG UNIV OF SCI & TECH
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