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Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
30.05.2023
Verantwortlich:
Ivleva, Natalia P.
Autorinnen / Autoren:
Jacob, Oliver; Ramírez-Piñero, Alejandro; Elsner, Martin; Ivleva, Natalia P.
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Titel:
TUM-ParticleTyper 2: Software and Documentation
Identifikator:
doi:10.14459/2023mp1707179.001
Konzept-DOI:
doi:10.14459/2023mp1707179
Enddatum der Datenerzeugung:
21.04.2023
Fachgebiet:
CHE Chemie
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations; Statistik und Referenzdaten / statistics and reference data
Datentyp:
Bilder / images; Programme und Anwendungen / software and applications
Beschreibung:
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

Schlagworte:
Microplastics, Morphological characterisation, Chemical identification, Adaptive de-agglomeration
Technische Hinweise:
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/
Sprache:
en
Andere Rechte:

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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