Nano-particle Statistical Characterization via Electrostatic Deposition
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Solution Overview
Problem
Current methods for characterizing populations of nano-particles, such as carbon structures, are slow, expensive, and economically prohibitive due to the need for manual sampling and measurement using techniques like SEM or AFM, limiting their practical applications, especially in medical applications like drug delivery systems.
Innovation Solution
A method and apparatus that spread nano-particles on a surface with a pattern of electrical charges, allowing for efficient characterization using analytical instruments like electron microscopes and scatterometers, eliminating the need for manual manipulation of individual particles, and enabling statistical analysis of multiple particles simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual sampling and measurement methods (SEM or AFM) are used to characterize nano-particles, then measurement precision can be achieved, but productivity is extremely low and cost is prohibitively high
Solution Approach 1:
The patent combines multiple nano-particles into a single aggregate structure that can be measured as one unit. By merging many individual particles into one measurable aggregate, the system achieves both high throughput (measuring many particles simultaneously) and maintains measurement precision through statistical analysis of the aggregate properties.
Solution Approach 2:
The patent creates optical copies or projections of nano-particle structures that can be measured using light scattering techniques. Instead of directly measuring each tiny particle with expensive microscopy equipment, the system measures optical signatures that represent the particle population, dramatically increasing productivity while maintaining characterization accuracy.
2Loss of information
If manual sampling methods are used, then detailed individual particle analysis is possible, but loss of time is excessive and cost is prohibitively high
Solution Approach 1:
The patent merges measurements of many individual particles into a single aggregate measurement process. By combining statistical data from numerous particles measured simultaneously, the system recovers complete population statistics without the time penalty of individual measurement, thus reducing time loss while preserving information quality.
Solution Approach 2:
The patent segments the characterization process into statistical moments (mean, variance, skewness) that can be extracted from aggregate measurements. This segmentation allows the system to obtain complete population statistics through efficient bulk measurement rather than time-consuming individual particle analysis.
3Measurement precision
If current characterization methods are used, then individual particle properties can be measured, but device complexity and operational complexity increase significantly
Solution Approach 1:
The patent replaces complex mechanical measurement systems (SEM, AFM) with optical measurement techniques based on light scattering. This substitution maintains measurement precision for particle properties while dramatically reducing device complexity and operational complexity, as optical systems are simpler to operate and require less sophisticated infrastructure.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables rapid and cost-effective characterization of large groups of nano-particles, facilitating control of manufacturing processes and improving the practical applications of nano-particles by providing statistical quality control, particularly in medical applications.
Implementation Method 1
depositing a charge pattern to a substrate with a charged particle beam
Implementation Method 2
spraying ionized particles onto the charge pattern, the charge pattern determining the distribution of the particles
Data Source
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AI summary
A method and apparatus for determining statistical characteristics of nano-particles includes distributing the nano-particles over a surface and then determining properties of the nano-particles by automatic measurement of multiple particles or by a measurement that determines properties of multiple particles at one time, without manipulating individual nano-particles.