USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy

Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Roos, Sandra [verfasserIn] Holmquist, Hanna Jönsson, Christina Arvidsson, Rickard

Format:	Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Life cycle assessment (LCA) Textile Chemical USEtox Characterisation factor Toxicity

Anmerkung:	© The Author(s) 2017

Übergeordnetes Werk:	Enthalten in: The international journal of life cycle assessment - Springer Berlin Heidelberg, 1996, 23(2017), 4 vom: 01. Juni, Seite 890-903
Übergeordnetes Werk:	volume:23 ; year:2017 ; number:4 ; day:01 ; month:06 ; pages:890-903

Links:	Volltext

DOI / URN:	10.1007/s11367-017-1330-y

Katalog-ID:	OLC2051206988

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520			\|a Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry.
650		4	\|a Life cycle assessment (LCA)
650		4	\|a Textile
650		4	\|a Chemical
650		4	\|a USEtox
650		4	\|a Characterisation factor
650		4	\|a Toxicity
700	1		\|a Holmquist, Hanna \|4 aut
700	1		\|a Jönsson, Christina \|4 aut
700	1		\|a Arvidsson, Rickard \|4 aut
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allfields	10.1007/s11367-017-1330-y doi (DE-627)OLC2051206988 (DE-He213)s11367-017-1330-y-p DE-627 ger DE-627 rakwb eng 650 330 333.7 VZ 690 VZ Roos, Sandra verfasserin (orcid)0000-0002-7949-2268 aut USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. Life cycle assessment (LCA) Textile Chemical USEtox Characterisation factor Toxicity Holmquist, Hanna aut Jönsson, Christina aut Arvidsson, Rickard aut Enthalten in The international journal of life cycle assessment Springer Berlin Heidelberg, 1996 23(2017), 4 vom: 01. Juni, Seite 890-903 (DE-627)211584533 (DE-600)1319419-7 (DE-576)059728728 0948-3349 nnns volume:23 year:2017 number:4 day:01 month:06 pages:890-903 https://doi.org/10.1007/s11367-017-1330-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_70 GBV_ILN_267 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4277 AR 23 2017 4 01 06 890-903
spelling	10.1007/s11367-017-1330-y doi (DE-627)OLC2051206988 (DE-He213)s11367-017-1330-y-p DE-627 ger DE-627 rakwb eng 650 330 333.7 VZ 690 VZ Roos, Sandra verfasserin (orcid)0000-0002-7949-2268 aut USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. Life cycle assessment (LCA) Textile Chemical USEtox Characterisation factor Toxicity Holmquist, Hanna aut Jönsson, Christina aut Arvidsson, Rickard aut Enthalten in The international journal of life cycle assessment Springer Berlin Heidelberg, 1996 23(2017), 4 vom: 01. Juni, Seite 890-903 (DE-627)211584533 (DE-600)1319419-7 (DE-576)059728728 0948-3349 nnns volume:23 year:2017 number:4 day:01 month:06 pages:890-903 https://doi.org/10.1007/s11367-017-1330-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_70 GBV_ILN_267 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4277 AR 23 2017 4 01 06 890-903
allfields_unstemmed	10.1007/s11367-017-1330-y doi (DE-627)OLC2051206988 (DE-He213)s11367-017-1330-y-p DE-627 ger DE-627 rakwb eng 650 330 333.7 VZ 690 VZ Roos, Sandra verfasserin (orcid)0000-0002-7949-2268 aut USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. Life cycle assessment (LCA) Textile Chemical USEtox Characterisation factor Toxicity Holmquist, Hanna aut Jönsson, Christina aut Arvidsson, Rickard aut Enthalten in The international journal of life cycle assessment Springer Berlin Heidelberg, 1996 23(2017), 4 vom: 01. Juni, Seite 890-903 (DE-627)211584533 (DE-600)1319419-7 (DE-576)059728728 0948-3349 nnns volume:23 year:2017 number:4 day:01 month:06 pages:890-903 https://doi.org/10.1007/s11367-017-1330-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_70 GBV_ILN_267 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4277 AR 23 2017 4 01 06 890-903
allfieldsGer	10.1007/s11367-017-1330-y doi (DE-627)OLC2051206988 (DE-He213)s11367-017-1330-y-p DE-627 ger DE-627 rakwb eng 650 330 333.7 VZ 690 VZ Roos, Sandra verfasserin (orcid)0000-0002-7949-2268 aut USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. Life cycle assessment (LCA) Textile Chemical USEtox Characterisation factor Toxicity Holmquist, Hanna aut Jönsson, Christina aut Arvidsson, Rickard aut Enthalten in The international journal of life cycle assessment Springer Berlin Heidelberg, 1996 23(2017), 4 vom: 01. Juni, Seite 890-903 (DE-627)211584533 (DE-600)1319419-7 (DE-576)059728728 0948-3349 nnns volume:23 year:2017 number:4 day:01 month:06 pages:890-903 https://doi.org/10.1007/s11367-017-1330-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_70 GBV_ILN_267 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4277 AR 23 2017 4 01 06 890-903
allfieldsSound	10.1007/s11367-017-1330-y doi (DE-627)OLC2051206988 (DE-He213)s11367-017-1330-y-p DE-627 ger DE-627 rakwb eng 650 330 333.7 VZ 690 VZ Roos, Sandra verfasserin (orcid)0000-0002-7949-2268 aut USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. Life cycle assessment (LCA) Textile Chemical USEtox Characterisation factor Toxicity Holmquist, Hanna aut Jönsson, Christina aut Arvidsson, Rickard aut Enthalten in The international journal of life cycle assessment Springer Berlin Heidelberg, 1996 23(2017), 4 vom: 01. Juni, Seite 890-903 (DE-627)211584533 (DE-600)1319419-7 (DE-576)059728728 0948-3349 nnns volume:23 year:2017 number:4 day:01 month:06 pages:890-903 https://doi.org/10.1007/s11367-017-1330-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-FOR GBV_ILN_70 GBV_ILN_267 GBV_ILN_2014 GBV_ILN_2016 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4277 AR 23 2017 4 01 06 890-903
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source	Enthalten in The international journal of life cycle assessment 23(2017), 4 vom: 01. Juni, Seite 890-903 volume:23 year:2017 number:4 day:01 month:06 pages:890-903
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The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. 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author	Roos, Sandra
spellingShingle	Roos, Sandra ddc 650 ddc 690 misc Life cycle assessment (LCA) misc Textile misc Chemical misc USEtox misc Characterisation factor misc Toxicity USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy
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topic	ddc 650 ddc 690 misc Life cycle assessment (LCA) misc Textile misc Chemical misc USEtox misc Characterisation factor misc Toxicity
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title	USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy
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title_full	USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy
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title_sort	usetox characterisation factors for textile chemicals based on a transparent data source selection strategy
title_auth	USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy
abstract	Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. © The Author(s) 2017
abstractGer	Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. © The Author(s) 2017
abstract_unstemmed	Purpose Life cycle assessments (LCAs) of textile products which do not include the use and emission of textile chemicals, such as dyes, softeners and water-repellent agents, will give non-comprehensive results for the toxicity impact potential. The purpose of this paper is twofold: (1) to provide a set of characterisation factors (CFs) for some of the most common textile chemicals and (2) to propose a data source selection strategy in order to increase transparency when calculating new CFs. Methods A set of 72 common textile-related substances was matched with the USEtox 2.01, USEtox 1.01 and the COSMEDE databases in order to investigate coverage and coherence. For the 25 chemicals that did not already have established CFs in any of these databases, new CFs were calculated. A data source selection strategy was developed and followed in order to ensure consistency and transparency, and USEtox 2.01 was used for calculations. The parameters that caused the most uncertainty were identified during the modelling and strategies for handling them were developed. Results and discussion Of the 72 textile-related substances, 48 already had calculated recommended or indicative CFs in existing databases, which showed good coherence. The main uncertainty identified during the calculation of 25 new CFs was the selection of input data regarding toxicity and degradation in water. However, for substances such as per- and polyfluoroalkyl substances (PFAS), the acid dissociation constant ($ pK_{a} $) and partitioning coefficients (Kow and $ K_{OC} $) also require special considerations. Other input parameters had less than one order of magnitude impact on the CF result for essentially all substances. Conclusions The paper presents a strategy for how to provide a complete set of toxicity CFs for a given list of substances. In addition, such a set of CFs for common textile-related substances is presented. The data source selection strategy provides a structured and transparent way of calculating additional CFs for textile chemicals with USEtox. Consequently, this study can help future LCA studies to provide relevant guidance towards environmentally benign chemical management in the textile industry. © The Author(s) 2017
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title_short	USEtox characterisation factors for textile chemicals based on a transparent data source selection strategy
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