<i>In Silico</i> Toxicity Screening as a Tool for the Development of Sustainable Electronics, Exemplified with Organic Light‐Emitting Electrochemical Cells

Abstract Electrical and electronic equipment (EEE) have revolutionized our lives, however, their associated waste (WEEE) presents a global challenge because at this time EEE relies heavily on metals that are not commonly found in the living environment (Biosphere), which find their way into the environment during both production/disposal of EEE/WEEE. The use of organic components in EEE is increasingly common, particularly with the growing interest in flexible electronics. Here we describe an approach to device design employing in silico toxicity screening to assess the toxicity of the components chosen for use in EEE that is exemplified using inorganic and organic components known in the literature for the production of prototype organic light‐emitting electrochemical cells. This approach could easily be employed to screen a variety of components for which datasets to produce safety data sheets (SDSs) don't yet exist because they have not been produced in large scale or in a regulatory environment which necessitates this. The approach has significant potential to improve high throughput screening of components for EEE that are “safe‐by‐design”, potentially in combination with AI and ML approaches.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2024-09-01
DOI
https://doi.org/10.1002/slct.202301868
Citations
1
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
0.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Silico Toxicity Screening as a Tool for the Development of Sustainable Electronics, Exemplified with Organic Light‐Emitting Electrochemical Cells

Karen L. Wright, Richard L. Mort, Papri Sutar, Mark Ashton et al.
1 citations
ChemistrySelect
Recycling and Waste Management Techniques
0.29
article

In Silico Toxicity Screening as a Tool for the Development of Sustainable Electronics, Exemplified with Organic Light‐Emitting Electrochemical Cells

Karen L. Wright, Richard L. Mort, Papri Sutar, Mark Ashton, John G. Hardy, Nathan R. Halcovitch, C. Somerton, David Bird, Alison Stowell, Thomas McGrath, Garry Harper, Robert J. Young, Kunal Lulla
article en
1 citations

Abstract

Abstract Electrical and electronic equipment (EEE) have revolutionized our lives, however, their associated waste (WEEE) presents a global challenge because at this time EEE relies heavily on metals that are not commonly found in the living environment (Biosphere), which find their way into the environment during both production/disposal of EEE/WEEE. The use of organic components in EEE is increasingly common, particularly with the growing interest in flexible electronics. Here we describe an approach to device design employing in silico toxicity screening to assess the toxicity of the components chosen for use in EEE that is exemplified using inorganic and organic components known in the literature for the production of prototype organic light‐emitting electrochemical cells. This approach could easily be employed to screen a variety of components for which datasets to produce safety data sheets (SDSs) don't yet exist because they have not been produced in large scale or in a regulatory environment which necessitates this. The approach has significant potential to improve high throughput screening of components for EEE that are “safe‐by‐design”, potentially in combination with AI and ML approaches.

ChemistrySelectVol. 9(36)
Centre for Process Innovation (GB), Lancaster University (GB)
Birmingham City University, National Institute for Health and Care Research, Directorate for Biological Sciences, Medical Research Council, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, Economic and Social Research Council, National Institute for Basic Biology
Openalex Percentile: Top 39%
Recycling and Waste Management Techniques
0.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.