Nanoparticle Tracking via Scattered Light Segmentation
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Solution Overview
Problem
Current methods for particle tracking analysis in liquids, such as optical microscopy and electron microscopy, face challenges in distinguishing between agglomerates and aggregates, and in accurately measuring the size and shape of nanoparticles due to limitations in light scattering techniques and sample preparation complexity, leading to uncertainties in size distribution and zeta potential measurements.
Innovation Solution
A device and method utilizing dynamic multi-parameter analysis with improved light contrast and automation, including a miniature pH probe, to differentiate between translational and rotational movements of particles, and automatically evaluate scattered light patterns, allowing for precise characterization of particles in a wide size range without extensive sample preparation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical scattering analysis is used to measure particle size, then particles smaller than 1 μm can be measured, but it is impossible to distinguish whether signal fluctuations originate from translational motion or rotation of irregularly shaped particles
Solution Approach 1:
The patent segments the scattered light signal analysis into two distinct components: translational motion analysis and rotational motion analysis. By separately evaluating these two motion types, the system can distinguish between them and attribute signal fluctuations to the correct source, thereby resolving the ambiguity in particle size measurement for irregularly shaped particles.
Solution Approach 2:
The patent introduces additional analytical dimensions by examining particle behavior in multiple directions and temporal patterns. By analyzing the multidimensional characteristics of scattered light signals including angular distribution and temporal evolution, the system can differentiate between translational and rotational motions that would appear identical in a single-dimensional analysis.
2Measurement precision
If electron microscopy is used to measure particle shape and size, then accurate measurements can be obtained, but extensive sample preparation is required and dynamic in-situ observation is not feasible
Solution Approach 1:
The patent replaces the mechanical/sample-preparation-intensive electron microscopy system with an optical scattering analysis system. By using light scattering techniques combined with advanced signal processing, the system achieves comparable measurement precision for particle shape and size without requiring complex sample preparation procedures, thereby enabling direct in-situ observation of particles in their native liquid environment.
Solution Approach 2:
The patent introduces scattered light analysis as an intermediary measurement method that bridges the gap between direct imaging techniques and indirect scattering methods. This intermediary approach provides sufficient structural information about particles while avoiding the limitations of both electron microscopy (sample preparation) and conventional light scattering (inability to distinguish motion types).
3Productivity
If common DLS scattering methods are used, then size distribution can be determined, but uncertainty arises from collective scattered light signal that cannot distinguish translational motion from rotation
Solution Approach 1:
The patent segments the collective scattered light signal into individual particle contributions and further separates translational and rotational motion components. By analyzing each particle's motion independently and distinguishing between translation and rotation, the system eliminates the parasitic effects that plague conventional DLS methods and achieves accurate size distribution determination.
Solution Approach 2:
The patent changes the analytical parameters from conventional DLS approaches by introducing separate evaluation of translational and rotational diffusion coefficients. By measuring and analyzing multiple independent parameters simultaneously, the system can deconvolute the mixed signal and accurately determine size distribution without the uncertainties inherent in single-parameter DLS methods.
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 accurate and efficient characterization of nanoparticles, distinguishing between agglomerates and aggregates, and providing detailed information on particle dynamics, improving measurement accuracy and reducing operational errors, while minimizing sample alteration and costs.
Implementation Method 1
Optical scattering analysis, unlike optical microscopy and electron microscopy, is an indirect measurement method for characterizing particle size
Implementation Method 2
The particle size distribution is derived by analyzing the translational Brownian diffusion motion of each individual particle
Implementation Method 3
Applying an electric field to the dispersed material system yields the electrophoretic migration and, consequently, the electric charge at the particle interface
Data Source
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AI summary
A method and device for optically detecting particles (23) have the following features: (a) a cell wall (9) of rectangular cross-section, made of black glass, is fitted on a longitudinal surface and adjoining transverse surface with an L-shaped heating and cooling element (1); (b) the centre of the transverse surface of the cell wall (9) opposite the transverse surface which forms the support of the cell wall (9) is irradiated by an irradiation device and is observed at right angles to the optical axis of the irradiation device by means of an observation device; (c) the focus of the irradiation device and the focus of the observation device can be moved by a motor to any point in the three-dimensional inner region defined by the cell wall (9) by means of a control device; (d) the surface of the cell wall (9) opposite the optical glass window (11) through which the radiation from the irradiation device enters comprises another optical glass window (11) in the centre thereof; (e) the temperature of the surface of the cell wall (9) is monitored by means of two thermistors (8).