SUSPENDED PARTICLES FROM THE PERSPECTIVE OF SEM/EDX

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F25%3AN0000136" target="_blank" >RIV/00020699:_____/25:N0000136 - isvavai.cz</a>

Výsledek na webu

<a href="https://cas.icpf.cas.cz/download/Sbornik_VKCAS_2025.pdf" target="_blank" >https://cas.icpf.cas.cz/download/Sbornik_VKCAS_2025.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

SUSPENDED PARTICLES FROM THE PERSPECTIVE OF SEM/EDX

Popis výsledku v původním jazyce

This study presents a robust methodological framework for the morphological and elemental characterization of suspended particulate matter (PM) using SEM/EDX at the Czech Hydrometeorological Institute. To overcome the limitations of traditional fibrous media, atmospheric particles are collected on flat-surface polycarbonate filters (Isopore™) using a low-volume sampler. Following gold sputter coating, samples are analyzed using a TESCAN MIRA3 FEG-SEM equipped with SE, BSE, and EDX detectors (Oxford Instruments). The analytical workflow integrates high-resolution imaging with automated Feature Analysis via AZtec software for image segmentation and chemical classification. Data post-processing is conducted through the proprietary Airity 8.0 application and structured within a PostgreSQL database. The results demonstrate the high potencial of this approach for source apportionment, providing qualitative and semi-quantitative insights into PM origin. Furthermore, the integration of AI-driven image analysis is identified as a key frontier for enhancing the identification of unique source-specific particle signatures.

Název v anglickém jazyce

SUSPENDED PARTICLES FROM THE PERSPECTIVE OF SEM/EDX

Popis výsledku anglicky

This study presents a robust methodological framework for the morphological and elemental characterization of suspended particulate matter (PM) using SEM/EDX at the Czech Hydrometeorological Institute. To overcome the limitations of traditional fibrous media, atmospheric particles are collected on flat-surface polycarbonate filters (Isopore™) using a low-volume sampler. Following gold sputter coating, samples are analyzed using a TESCAN MIRA3 FEG-SEM equipped with SE, BSE, and EDX detectors (Oxford Instruments). The analytical workflow integrates high-resolution imaging with automated Feature Analysis via AZtec software for image segmentation and chemical classification. Data post-processing is conducted through the proprietary Airity 8.0 application and structured within a PostgreSQL database. The results demonstrate the high potencial of this approach for source apportionment, providing qualitative and semi-quantitative insights into PM origin. Furthermore, the integration of AI-driven image analysis is identified as a key frontier for enhancing the identification of unique source-specific particle signatures.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/SS02030031" target="_blank" >SS02030031: Integrovaný systém výzkumu, hodnocení a kontroly kvality ovzduší</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů