Suchergebnisse

Hushållens bidrag av tvättvatten från textiltvätt till de kommunala avloppsreningsverken uppskattas till ca 2% av det totala volymflödet. Registerdata över kemikalier som används vid tillverkning av textilier/kläder samt analyser av tvättvatten visar att textilfibrer, mikroplastfibrer och många miljöstörande ämnen når våra reningsverk via textiltvätt. Dessa fibrer och kemiska ämnen kan bidra till förorening av avloppsreningsslam som används för gödsling av åkermark eller av vattenmiljö nedströms reningsverken. Ett av Sveriges miljömål är En Giftfri Miljö och dess delmål innefattar bl.a. information om farliga ämnen i varor (Ds 2012:23). Textilier är en av de varugrupper som Miljömålberedningen föreslagit (SOU 2012:38) bli föremål för ett regeringsuppdrag avseende innehåll av farliga ämnen och riskbegränsande åtgärder samt frivillig miljömärkning. I det svenska miljömålsystemet ingår också generationsmål om att materialkretsloppen skall vara så fria från farliga ämnen som möjligt och att våra konsumtionsmönster av varor ska ge så små hälso- och miljöproblem som möjligt även i varornas tillverkningsländer utanför Sverige. Generationsmålet innebär att svensk politik behöver ta hänsyn till den miljö- och hälsopåverkan som svensk konsumtion orsakar i andra länder. EU:s ramdirektiv för avfall (2008/96/EG) har vidare slagit fast en avfallshierarki som sätter återanvändning av uttjänta varor, t. ex. kläder, före materialåtervinning av avfall. Syfte Syftet med denna studie var att undersöka i vilken utsträckning som vattentvätt av fem klädtyper (t-tröjor av bomull med plasttryck, bomullsjeans, arbetsbyxor, fleecetröjor samt allvädersjackor) bidrar till förekomsten av miljögifter i slam samt i utgående vatten från representativt utvalda svenska reningsverk. Utförande Kläder av fem olika klädtyper, enligt specifikation från naturvårdsverket (baserat på en tidigare studie av Swerea) köptes in från affärer i Umeå under januari 2014. Det var 8 st t-tröjor av bomull med plasttryck, 3 st bomullsjeans, 2 st arbetsbyxor, 8 st fleecetröjor samt 3 st allvädersjackor. Kläderna tvättades i en vanlig tvättmaskin 2 gånger efter varandra utan att torka mellan och allt tvättvatten samlades upp. Delprov av tvättvattnet togs ut och analyserades för 126 utvalda ämnena på tre olika laboratorier (Miljökemiska Laboratoriet, Umeå Universitet, Svenska Miljöinstitutet (IVL) och Stockholms Universitet (ACES)). Ämnena var processkemikalier såsom pentaklorfenol, och triklosan, funktionskemikalier såsom ftalater och organofosfater samt oönskade kemikalier såsom dioxiner, klorfenoler och klorbensener. 2 Resultat Studien visar på att det mängdmässigt främst är funktionskemikalier som släpper från kläderna vid tvätt. Det här var väntat då dessa kemikalier är avsiktligt och oftast inte kemiskt bundet till tyget. Processkemikalier avges i mindre mängd och oönskade kemikalier såsom till exempel klorerade fenoler och bensener hittades i väldigt små mängder i tvättvattnet oavsett vilken typ av klädesplagg som tvättats. Vare sig processkemikalierna eller de oönskade kemikalierna borde finnas i plaggen och därför var det väntat att dessa kemikalier inte skulle hittas i samma utsträckning som funktionskemikalierna. Om man ser till detektionsfrekvensen, d.v.s. hur ofta de ämnen som ingår i en ämnesklass påträffas, blir bilden delvis en annan. Mer än 75% av de funktionskemikalier (38 av 50), ca 50% av funktionskemikalierna (26 av 49) och ca. 30% av processkemikalierna (8 av 27) detekterades i tvättvattenproverna. T-tröjor och skaljackorna var de klädtyper som avgav störst mängd kemikalier per kg 47 mg/kg (0.005% w/w) för t-tröjor följt av 23 mg/kg (0.002% w/w) för skaljackor. Jeans, arbetsbyxor och fleecetröjor släppte mycket mindre mängd kemikalier 0.001, 0.001 and 0.0005% vid tvätt till tvättvattnet. De fem klädtyperna släppte alla bisfenol AF, organofosfater, ftalater, formaldehyd, bromerade och klorerade fenoler samt klorerade bensener till tvättvattnet vid de två första tvättarna. Några föreningar som inte kunde detekteras i tvättvattnet var 4 stycken siloxaner, 9 stycken olika aniliner och majoriteten av de 17 dioxinerna och furanerna som ingick i studien. T-tröjor släppte mer textilfibrer (0,85 mg/kg) jämfört med de andra klädtyperna. De andra klädtyperna släppte betydlig mindre fibrer vid tvätt: jeans 0,46 mg/kg, skaljackor 0,02 mg/kg, arbetsbyxor 0,07 mg/kg och fleecetröjor 0,1 mg/kg. Diskussion Om man tar hänsyn till den årliga användningsvolymen av de olika klädestyperna avger t-tröjorna den största mängden kemikalier (469 kg funktionella kemikalier, 0,5 kg processkemikalier och 0,07 kg oönskade kemikalier) vid de två första tvättarna av plaggen. Arbetsbyxor var den klädestyp som släppte minst kemikalier (30 kg funktionella kemikalier, 7 kg processkemikalier och 0,9 g oönskade kemikalier). Ftalater och organofosfater frigjordes i stora mängder från kläderna (302 kg och 7,6 kg) och bidrar med 50% respektive 5% vardera till vad som återfinns i utgående vatten och slam från avloppsreningsverken. Klorfenoler och perfluorerade ämnen frigjordes i betydligt mindre mängder (430 g och 300 g) men bidrar i teorin med mer (167% respektive 223%) än vad som återfinns i utgåendevatten och slam från avloppsreningsverken för respektive grupp, vilket är orealistiskt. Brister i dataunderlaget eller degradering av föroreningar i reningsprocessen kan vara möjliga orsaker till överskattningen. Det är dock klart att tvätt av kläder ger ett betydande bidrag till vad som återfinns i reningsverksvatten och slam. 3 Slutsatser Kemikalier som är förbjudna enligt t ex Reach ska naturligtvis inte förekomma i kläder. Trots det så hittas de ändå ibland vid inspektion. Det är ett stort problem eftersom kemikalierna fortfarande kan vara lagliga att använda i visa länder. Exempelvis är det förbjudet att använda arylaminer inom EU, ändå återfinner vi en av dessa 4,4'-diaminodiphenylmethane i tvättvatten från alla typer av kläder i denna studie. Idag sker produktion av kläder över hela världen och det är svårt att få information om vilka kemikalier som har använts för ett visst plagg. Denna spårbarhet skulle behöva förbättras. I den här studien har vi hittat 72 av 126 föreningar, alla icke-naturliga föreningar, i tvättvattnet. De föreningar som frigjordes i störst mängder till tvättvattnet i den här studien var BPS, ftalater (DBP, BBP, DEHP, DINP, DIDP), DINCH, organofosfater (TPP, TCEP, TCPP, TEHP, TBEP) och formaldehyd. Med hänsyn taget till nettotillförseln av nya kläder kommer den mängden kemikalier på årlig basis som avges från nya kläder som tvättas de två första gångerna att vara betydande. Även om en del av de föreningar som avges från kläderna kommer att brytas ner under behandlingen av avloppsvattnet i avloppsreningsverken så kommer många av dem att hamna i det utgående vattnet eller i slammet. Dessa kommer hamna i recipienten eller där slam används för att tillföra näringsämnen. Fortsatt arbete För att få en ännu bättre bild av hur mycket kemikalier som frigörs från kläder vid tvätt skulle det vara intressant att studera fler klädtyper. Det skulle också vara av intresse att analysera kläderna i sig för att kunna avgöra hur stor andel av det som finns i kläderna som avges vid tvätt, men också vad som finns kvar i kläderna när de så småningom blir textilavfall. Slutligen skulle det vara intressant att genom så kallad "non-target analysis" av både kläder och tvättvatten få veta vilka andra föreningar som förekommer i både kläder och tvättvatten. Rätt använt skulle "non-target anaysis" kunna fånga upp ett brett spektrum av kemikalier och ge en "totalbild" av substansflödet från textilier, via tvättvatten och reningsverk, till olika recipienter. ; Water from household laundry has been estimated to make up about 2% of the total volume flowing into municipal wastewater treatment plants (WWTPs). Records of the chemicals used in the manufacture of textiles/clothing and analyses of both washed clothes and laundry wastewater indicate that a large number of environmentally harmful substances can potentially reach treatment plants. These substances, including fibers and micro plastics fromlaundry, may contribute to the pollution of sewage sludge used for fertilization of arable land, or pollute the receiving waters downstream of wastewater treatment plants. Textiles are one of the groups of consumer goods that the Environmental Objectives Committee proposed (SOU 2012: 38) be subject to a government mandate regarding the use of hazardous chemicals, environmental risk reduction measures and voluntary eco-labeling. The government has also decided (Ds 2012: 23) on interim measures aimed at removing toxic material from the environment, including providing information on hazardous substances in clothing. The Swedish environmental objectives system also includes the so-called "Generation target", that states that material life cycles should be as free as possible from hazardous substances and that consumption of goods should produce as few health and environmental problems as possible, including in all the countries where they were manufactured. The Generation target means that the Swedish government needs to take into account environmental and health impacts that Swedish consumption may cause in other countries. The EU Waste Framework Directive (2008/96 / EC) defines a waste hierarchy that puts the recycling of old products, such as clothing, before the recycling of waste. This study may inform those working on developing such directives. Aim The purpose of this study was to examine the extent to which laundering of five types of clothing (cotton t-shirts, cotton jeans, work trousers, fleece sweaters and weatherproof jackets) contributes to the presence of toxic pollutants in sludge and effluent water from a representative sample of treatment plants. Experimental The choice of clothing was based on the study "Kartläggning av kemikalieanvändning i kläder" (Swerea IVF, Report 09/52) and were purchased in Umeå during January 2014. The different categories of clothing were washed twice in a washing machine, without drying them in between and all wastewater was collected from the washer. Immediately after washing, samples of this water were transferred into 2 L glass containers and were analyzed for 126 compounds by three different laboratories (Miljökemiska Laboratoriet, Umeå Universitet, Svenska Miljöinstitutet (IVL) och Stockholms Universitet (ACES)). 5 Results The results show that the main types of chemicals that were released when the clothing was washed, regardless of the type of clothing, were process and functional chemicals. This was expected since functional chemicals are added to the garment and are usually not chemically bonded to the fabric, whilst the process chemicals should not be present in the final product at all. Chemicals belonging to the group unwanted chemicals were released in very small amounts to the wastewater whatever type of clothing washed. The functional chemicals represented 30 % of the analyzed target compounds but accounted for up to 99% (for t-shirts) of the release when the clothing was washed. The lowest contribution of functional chemicals to the total release of chemicals was from weatherproof jackets. Process chemicals dominated those released from weatherproof jackets (90%) and fleece sweaters (72%); for working pants, the contribution was 41%. The unwanted chemicals were present in much lower amounts in the laundry wastewater than the functional and process chemicals: they represented 1% or less of the chemicals detected. T-shirts is estimated to release the largest amount of chemicals (469 kg functional chemicals, 0.5 kg process chemicals and 0.07 kg unwanted chemicals) based on the yearly net supply and the first two washing cycles. Fleece sweaters released the least amount of chemicals; 1.8 kg functional chemicals, 2.9 kg process chemicals and 3 g unwanted chemicals. Phthalates, DINCH (a phthalate substitute), bisphenols, formaldehyde, and organophosphates were the groups of chemicals estimated to be released in largest amounts from the five types of clothing included in the study, contributing 47%, 25%, 12%, 12%, and 3%, respectively, to the total amount. Based on the yearly net supply of clothing included in this study, the estimated release of textile fibers varies between 100 kg for fleece sweaters up to 8,500 kg for t-shirts. T-shirts released 0.85 mg fibers per kg, jeans released 0.46 mg/kg, weatherproof jackets 0.02 mg/kg, working pants 0.07 mg/kg and fleece sweaters 0.1 mg/kg. Discussion Phthalates and organophosphates were estimated to be released in large amounts (302 kg and 7.6 kg) contribute with 50% and 5% respectively to the amounts found in effluents from wastewater treatment plants. Chlorophenols and perfluorinated compounds were estimated to be released in very low amounts (430 g and 300 g respectively). This is however still more, 167% and 223% respectively, than what is found annually in the effluents and sewage sludge of all Swedish WWTPs. The estimated contribution to sewage sludge for the different compound classes was far higher than the calculated contribution to effluent. The estimation produced a contribution figure of over 100% for some compound groups. Short chain chloroparaffins and chlorophenols were estimated to contribute to the amount found in sewage sludge to such a large degree that it exceeded what is actually found in the sewage sludge. Chlorophenols are distributed between both effluent and sewage sludge, but reference data was only found for sludge, so this could be the reason for the overestimation of the amount that ends up in the sewage sludge. It can also not be excluded that the selection of clothing was not representative of what is on the market. 6 Conclusions Chemicals that are banned according to legislation such as Reach should, in principle, not be present in clothing. Even so, they are sometimes found during inspections of manufacturing facilities and analyses of clothing. This is a large problem since the use of a chemical can be banned in some countries but not in others. Arylamines are, for example, forbidden within the EU, but one of those 4,4'-diaminodiphenylmethane could still be detected in all types of clothing. Now, the clothing that we wear comes from all over the world, and it is difficult to find information on which chemicals have been used in its production since that can take place in many different countries. This tractability needs to be improved. In this study, we detected 72 out of 126 compounds that are non-naturally occurring compounds, in the laundry wastewater. Among the compound groups that could not be detected were anilines, triclosan, triclocarban, and siloxanes. The compounds released in large amounts into the laundry wastewater in this study were the process chemical bisphenol S (BPS), and the functional chemicals phthalates (DBP, BBP, DINP, DIDP), DINCH, organophosphates (TPP, TCEP, TCPP, TEHP, TBEP) and formaldehyde. Considering the net supply of new clothing to Sweden, the estimated annual contribution of the release of such compounds from new clothing being washed for the first time will be substantial. Even though some of these chemicals will be degraded during the treatment process in the WWTP, many of them will end up in effluent or sewage sludge and, to different degrees, contribute to the compounds that risk ending up in WWTPs or where nutrients are recycled from sewage sludge. Future work To obtain a better picture of the volume of chemicals flowing to the WWTPs and, potentially, the environment, originating from the laundering of clothing, it would be of interest to study the release of chemicals from a broader range of clothing types. It would also be interesting to include analysis of the fabric to see what proportion of chemicals are released during laundry, and what proportion remain and are then potentially released during later washing or enter the textile waste stream. It would also be of great interest to carry out non-target analysis on both the textiles and the wastewater to form an even broader picture of which chemicals are present in the textiles and the wastewater.

In this article, a dataset from a collaborative nontarget screening trial organised by the NORMAN Association is used to review the state-of-the-art and discuss future perspectives of non-target screening using high-resolution mass spectrometry in water analysis. A total of 18 institutes from 12 European countries analysed an extract of the same water sample collected from the River Danube with either one or both of liquid and gas chromatography coupled with mass spectrometry detection. This article focuses mainly on the use of high resolution screening techniques with target, suspect, and non-target workflows to identify substances in environmental samples. Specific examples are given to emphasise major challenges including isobaric and co-eluting substances, dependence on target and suspect lists, formula assignment, the use of retention information, and the confidence of identification. Approaches and methods applicable to unit resolution data are also discussed. Although most substances were identified using high resolution data with target and suspect-screening approaches, some participants proposed tentative non-target identifications. This comprehensive dataset revealed that nontarget analytical techniques are already substantially harmonised between the participants, but the data processing remains time-consuming. Although the objective of a Bfullyautomated identification workflow^ remains elusive in the short term, important steps in this direction have been taken, exemplified by the growing popularity of suspect screening approaches. Major recommendations to improve non-target screening include better integration and connection of desired features into software packages, the exchange of target and suspect lists, and the contribution of more spectra from standard substances into (openly accessible) databases. ; This work was supported in part by the SOLUTIONS project, which received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement No. 603437.

Abstract
Background
Prioritisation of chemical pollutants is a major challenge for environmental managers and decision-makers alike, which is essential to help focus the limited resources available for monitoring and mitigation actions on the most relevant chemicals. This study extends the original NORMAN prioritisation scheme beyond target chemicals, presenting the integration of semi-quantitative data from retrospective suspect screening and expansion of existing exposure and risk indicators. The scheme utilises data retrieved automatically from the NORMAN Database System (NDS), including candidate substances for prioritisation, target and suspect screening data, ecotoxicological effect data, physico-chemical data and other properties. Two complementary workflows using target and suspect screening monitoring data are applied to first group the substances into six action categories and then rank the substances using exposure, hazard and risk indicators. The results from the 'target' and 'suspect screening' workflows can then be combined as multiple lines of evidence to support decision-making on regulatory and research actions.

Results
As a proof-of-concept, the new scheme was applied to a combined dataset of target and suspect screening data. To this end, > 65,000 substances on the NDS, of which 2579 substances supported by target wastewater monitoring data, were retrospectively screened in 84 effluent wastewater samples, totalling > 11 million data points. The final prioritisation results identified 677 substances as high priority for further actions, 7455 as medium priority and 326 with potentially lower priority for actions. Among the remaining substances, ca. 37,000 substances should be considered of medium priority with uncertainty, while it was not possible to conclude for 19,000 substances due to insufficient information from target monitoring and uncertainty in the identification from suspect screening. A high degree of agreement was observed between the categories assigned via target analysis and suspect screening-based prioritisation. Suspect screening was a valuable complementary approach to target analysis, helping to prioritise thousands of substances that are insufficiently investigated in current monitoring programmes.

Conclusions
This updated prioritisation workflow responds to the increasing use of suspect screening techniques. It can be adapted to different environmental compartments and can support regulatory obligations, including the identification of specific pollutants in river basins and the marine environments, as well as the confirmation of environmental occurrence levels predicted by modelling tools.

Graphical Abstract

AbstractIncreasing production and use of chemicals and awareness of their impact on ecosystems and humans has led to large interest for broadening the knowledge on the chemical status of the environment and human health by suspect and non-target screening (NTS). To facilitate effective implementation of NTS in scientific, commercial and governmental laboratories, as well as acceptance by managers, regulators and risk assessors, more harmonisation in NTS is required. To address this, NORMAN Association members involved in NTS activities have prepared this guidance document, based on the current state of knowledge. The document is intended to provide guidance on performing high quality NTS studies and data interpretation while increasing awareness of the promise but also pitfalls and challenges associated with these techniques. Guidance is provided for all steps; from sampling and sample preparation to analysis by chromatography (liquid and gas—LC and GC) coupled via various ionisation techniques to high-resolution tandem mass spectrometry (HRMS/MS), through to data evaluation and reporting in the context of NTS. Although most experience within the NORMAN network still involves water analysis of polar compounds using LC–HRMS/MS, other matrices (sediment, soil, biota, dust, air) and instrumentation (GC, ion mobility) are covered, reflecting the rapid development and extension of the field. Due to the ongoing developments, the different questions addressed with NTS and manifold techniques in use, NORMAN members feel that no standard operation process can be provided at this stage. However, appropriate analytical methods, data processing techniques and databases commonly compiled in NTS workflows are introduced, their limitations are discussed and recommendations for different cases are provided. Proper quality assurance, quantification without reference standards and reporting results with clear confidence of identification assignment complete the guidance together with a glossary of definitions. The NORMAN community greatly supports the sharing of experiences and data via open science and hopes that this guideline supports this effort.

Abstract
Background
The NORMAN Association (https://www.norman-network.com/) initiated the NORMAN Suspect List Exchange (NORMAN-SLE; https://www.norman-network.com/nds/SLE/) in 2015, following the NORMAN collaborative trial on non-target screening of environmental water samples by mass spectrometry. Since then, this exchange of information on chemicals that are expected to occur in the environment, along with the accompanying expert knowledge and references, has become a valuable knowledge base for "suspect screening" lists. The NORMAN-SLE now serves as a FAIR (Findable, Accessible, Interoperable, Reusable) chemical information resource worldwide.

Results
The NORMAN-SLE contains 99 separate suspect list collections (as of May 2022) from over 70 contributors around the world, totalling over 100,000 unique substances. The substance classes include per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, pesticides, natural toxins, high production volume substances covered under the European REACH regulation (EC: 1272/2008), priority contaminants of emerging concern (CECs) and regulatory lists from NORMAN partners. Several lists focus on transformation products (TPs) and complex features detected in the environment with various levels of provenance and structural information. Each list is available for separate download. The merged, curated collection is also available as the NORMAN Substance Database (NORMAN SusDat). Both the NORMAN-SLE and NORMAN SusDat are integrated within the NORMAN Database System (NDS). The individual NORMAN-SLE lists receive digital object identifiers (DOIs) and traceable versioning via a Zenodo community (https://zenodo.org/communities/norman-sle), with a total of > 40,000 unique views, > 50,000 unique downloads and 40 citations (May 2022). NORMAN-SLE content is progressively integrated into large open chemical databases such as PubChem (https://pubchem.ncbi.nlm.nih.gov/) and the US EPA's CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard/), enabling further access to these lists, along with the additional functionality and calculated properties these resources offer. PubChem has also integrated significant annotation content from the NORMAN-SLE, including a classification browser (https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101).

Conclusions
The NORMAN-SLE offers a specialized service for hosting suspect screening lists of relevance for the environmental community in an open, FAIR manner that allows integration with other major chemical resources. These efforts foster the exchange of information between scientists and regulators, supporting the paradigm shift to the "one substance, one assessment" approach. New submissions are welcome via the contacts provided on the NORMAN-SLE website (https://www.norman-network.com/nds/SLE/).