Analysis method for individual particle shape and chemical composition classification of atmospheric samples using SEM-EDS automatic analyzer
The use of a platinum-coated polycarbonate filter with SEM-EDS and AI training addresses the challenges of analyzing ultrafine dust, enabling efficient classification and source identification of fine dust particles.
Patent Information
- Authority / Receiving Office
- KR · KR
- Patent Type
- Patents
- Current Assignee / Owner
- KOREA INST OF SCI & TECH
- Filing Date
- 2024-12-24
- Publication Date
- 2026-07-21
AI Technical Summary
Conventional methods for analyzing individual fine dust particles are labor-intensive and difficult to apply universally for statistical analysis, especially for ultrafine dust like PM2.5, and existing SEM-EDS analysis faces challenges with fibrous filters and diverse compound compositions.
A method involving a polycarbonate filter coated with platinum for capturing atmospheric samples, combined with SEM-EDS analysis and artificial intelligence training, to classify particle shapes and compositions, using unsupervised learning and manifold learning to identify trends.
Enables efficient classification of particle sources by distinguishing contamination sources through automated analysis, reducing the time required to identify pollution origins and providing statistical analysis of large quantities of particles.
Smart Images
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