Identification of structure–biodegradability relationships for ionic liquids – clustering of a dataset based on structural similarity-Reference-Cited by-同舟云学术

Identification of structure–biodegradability relationships for ionic liquids – clustering of a dataset based on structural similarity

Published:2023 Issue:22 Volume:25 Page:9226-9250
ISSN:1463-9262
Container-title:Green Chemistry
language:en
Short-container-title:Green Chem.

Author:

Amsel Ann-Kathrin¹²^ORCID,Olsson Oliver¹^ORCID,Kümmerer Klaus¹²

Affiliation:

1. Institute of Sustainable Chemistry, Leuphana University of Lüneburg, Universitätsallee 1, D-21335 Lüneburg, Germany

2. Research and Education Hub, International Sustainable Chemistry Collaborative Centre (ISC3), Leuphana University of Lüneburg, Universitätsallee 1, D-21335 Lüneburg, Germany

Abstract

In silico cluster analysis of the ionic liquids’ dataset revealed new insights into structure–biodegradability relationships for improved biodegradability to design fully mineralising ionic liquids (benign by design).

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Environmental Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/GC/D3GC02392C

Reference123 articles.

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2. Industrial application of ionic liquids as process aid

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4. Ionic Liquids as Active Pharmaceutical Ingredients

5. Two Herbicides in a Single Compound: Double Salt Herbicidal Ionic Liquids Exemplified with Glyphosate, Dicamba, and MCPA

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