Renner, Gerrit; Schmidt, Torsten Claus; Schram, Jürgen:
Automated rapid & intelligent microplastics mapping by FTIR microscopy : A Python–based workflow
In: MethodsX, Band 7 (2020), S. 100742
2020Artikel/Aufsatz in ZeitschriftOA Gold
ChemieFakultät für Chemie » Analytische ChemieForschungszentren » Zentrum für Wasser- und Umweltforschung (ZWU)
Damit verbunden: 1 Publikation(en)
Titel in Englisch:
Automated rapid & intelligent microplastics mapping by FTIR microscopy : A Python–based workflow
Autor*in:
Renner, GerritUDE
LSF ID
61787
ORCID
0000-0003-3808-5890ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Schmidt, Torsten ClausUDE
GND
1074278453
LSF ID
14592
ORCID
0000-0003-1107-4403ORCID iD
Sonstiges
der Hochschule zugeordnete*r Autor*in
;
Schram, Jürgen
Erscheinungsjahr:
2020
Open Access?:
OA Gold
Web of Science ID
PubMed ID
Scopus ID
Notiz:
CA extern
Sprache des Textes:
Englisch
Schlagwort, Thema:
Chemometrics ; FTIR microscopy ; Mapping ; Microplasitcs ; Python

Abstract in Englisch:

The analysis of environmental microplastic particles using FTIR microscopy is a challenging task, due to the very high number of individual particles within a single sample. Therefore, automatable, fast and robust approaches are highly requested. Micro particles were commonly enriched on filters, and sub- or the whole filter area was investigated, which took more than 20h and produced millions of data, which had to be evaluated. This paper presents a new approach of such filter area analysis using an intelligent algorithm to measure only those spots on a filter that would produce evaluable FTIR data. Empty spaces or IR absorbers like carbon black particles were not measured which successfully reduced the total analysis time from 50h to 7h. The presented method is based on system independent Python workflow and can easily be implemented on other FTIR systems. • Fast and intelligent FTIR microscopy area mapping without FPA detector • Total time reduction from 50 h to 7 h • Platform independent approach based on Python