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Document type:
Forschungsdaten
Publication date:
30.05.2023
Responsible:
Ivleva, Natalia P.
Authors:
Jacob, Oliver; Ramírez-Piñero, Alejandro; Elsner, Martin; Ivleva, Natalia P.
Author affiliation:
TUM
Publisher:
TUM
Title:
TUM-ParticleTyper 2: Software and Documentation
Identifier:
doi:10.14459/2023mp1707179.001
Concept DOI:
doi:10.14459/2023mp1707179
End date of data production:
21.04.2023
Subject area:
CHE Chemie
Resource type:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations; Statistik und Referenzdaten / statistics and reference data
Data type:
Bilder / images; Programme und Anwendungen / software and applications
Description:
Accurate quantification of small microplastics in environmental and food samples is a prerequisite for studying their potential hazard. Knowledge of numbers, size distributions and polymer type for particles and fibers is particularly relevant in this respect. A fully automated procedure for quantifying microplastics with Raman microspectroscopy across the entire defined size range is presented in the form of the software TUM-ParticleTyper 2. This software implements the theoretical approaches o...     »
Links:

This dataset relates to the publication: 10.1007/s00216-023-04712-9

Key words:
Microplastics, Morphological characterisation, Chemical identification, Adaptive de-agglomeration
Technical remarks:
View and download (448 MB total, 273 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1707179.001):
rsync rsync://m1707179.001@dataserv.ub.tum.de/m1707179.001/
Language:
en
Other rights:

Images are licenced under the Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

Software is lincenced under Apache 2.0 https://www.apache.org/licenses/LICENSE-2.0

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