Dynamic Multicrop Model to Characterize Impacts of Pesticides in Food
A new dynamic plant uptake model is presented to characterize health impacts of pesticides applied to food crops, based on a flexible set of interconnected compartments. We assess six crops covering a large fraction of the worldwide consumption. Model estimates correspond well with observed pesticid...
Gespeichert in:
Veröffentlicht in: | Environmental science & technology 2011-10, Vol.45 (20), p.8842-8849 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8849 |
---|---|
container_issue | 20 |
container_start_page | 8842 |
container_title | Environmental science & technology |
container_volume | 45 |
creator | Fantke, Peter Juraske, Ronnie Antón, Assumpció Friedrich, Rainer Jolliet, Olivier |
description | A new dynamic plant uptake model is presented to characterize health impacts of pesticides applied to food crops, based on a flexible set of interconnected compartments. We assess six crops covering a large fraction of the worldwide consumption. Model estimates correspond well with observed pesticide residues for 12 substance-crop combinations, showing residual errors between a factor 1.5 and 19. Human intake fractions, effect and characterization factors are provided for use in life cycle impact assessment for 726 substance-crop combinations and different application times. Intake fractions typically range from 10–2 to 10–8 kgintake kgapplied –1. Human health impacts vary up to 9 orders of magnitude between crops and 10 orders of magnitude between pesticides, stressing the importance of considering interactions between specific crop-environments and pesticides. Time between application and harvest, degradation half-life in plants and residence time in soil are driving the evolution of pesticide masses. We demonstrate that toxicity potentials can be reduced up to 99% by defining adequate pesticide substitutions. Overall, leafy vegetables only contribute to 2% of the vegetal consumption, but due to later application times and higher intake fractions may nevertheless lead to impacts comparable or even higher than via the larger amount of ingested cereals. |
doi_str_mv | 10.1021/es201989d |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_898504735</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2502687401</sourcerecordid><originalsourceid>FETCH-LOGICAL-a371t-4a725cc2995624337824c7398aa4e452e5583d91ae5e57b57a48b3ff1dcf1a623</originalsourceid><addsrcrecordid>eNpl0E9LwzAYBvAgipvTg19AgiDioZo_TZscZW462NCDgrfyLk2xo21q0h7mpzeyuYGe3hx-vHneB6FzSm4pYfTOeEaokio_QEMqGImEFPQQDQmhPFI8eR-gE-9XhBDGiTxGA0YVEYlIhmjysG6gLjVe9FVXamdbvLC5qXBn8fgDHOjOuPLL4FndhrfHtsAvxgda5sbjssFTa_NTdFRA5c3Zdo7Q23TyOn6K5s-Ps_H9PAKe0i6KIWVCa6aUSFjMeSpZrFOuJEBsYsGMEJLnioIRRqRLkUIsl7woaK4LCgnjI3S92ds6-9mHGFldem2qChpje59JJQWJUy6CvPwjV7Z3TQiXqVAZS6RQAd1sULjbe2eKrHVlDW6dUZL9NJvtmg32YruwX9Ym38nfKgO42gLwGqrCQaNLv3dxQjlR6d6B9vtQ_z_8BrKnifo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>902126859</pqid></control><display><type>article</type><title>Dynamic Multicrop Model to Characterize Impacts of Pesticides in Food</title><source>MEDLINE</source><source>ACS Publications</source><creator>Fantke, Peter ; Juraske, Ronnie ; Antón, Assumpció ; Friedrich, Rainer ; Jolliet, Olivier</creator><creatorcontrib>Fantke, Peter ; Juraske, Ronnie ; Antón, Assumpció ; Friedrich, Rainer ; Jolliet, Olivier</creatorcontrib><description>A new dynamic plant uptake model is presented to characterize health impacts of pesticides applied to food crops, based on a flexible set of interconnected compartments. We assess six crops covering a large fraction of the worldwide consumption. Model estimates correspond well with observed pesticide residues for 12 substance-crop combinations, showing residual errors between a factor 1.5 and 19. Human intake fractions, effect and characterization factors are provided for use in life cycle impact assessment for 726 substance-crop combinations and different application times. Intake fractions typically range from 10–2 to 10–8 kgintake kgapplied –1. Human health impacts vary up to 9 orders of magnitude between crops and 10 orders of magnitude between pesticides, stressing the importance of considering interactions between specific crop-environments and pesticides. Time between application and harvest, degradation half-life in plants and residence time in soil are driving the evolution of pesticide masses. We demonstrate that toxicity potentials can be reduced up to 99% by defining adequate pesticide substitutions. Overall, leafy vegetables only contribute to 2% of the vegetal consumption, but due to later application times and higher intake fractions may nevertheless lead to impacts comparable or even higher than via the larger amount of ingested cereals.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/es201989d</identifier><identifier>PMID: 21905656</identifier><identifier>CODEN: ESTHAG</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Biological and medical sciences ; Crops ; Crops, Agricultural - metabolism ; Edible Grain - metabolism ; Environmental impact ; Environmental Modeling ; Food ; Food Analysis - methods ; Harvest ; Humans ; Medical sciences ; Pesticides ; Pesticides - analysis ; Pesticides - metabolism ; Pesticides, fertilizers and other agrochemicals toxicology ; Toxicology ; Vegetables - metabolism</subject><ispartof>Environmental science & technology, 2011-10, Vol.45 (20), p.8842-8849</ispartof><rights>Copyright © 2011 American Chemical Society</rights><rights>2014 INIST-CNRS</rights><rights>Copyright American Chemical Society Oct 15, 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a371t-4a725cc2995624337824c7398aa4e452e5583d91ae5e57b57a48b3ff1dcf1a623</citedby><cites>FETCH-LOGICAL-a371t-4a725cc2995624337824c7398aa4e452e5583d91ae5e57b57a48b3ff1dcf1a623</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/es201989d$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/es201989d$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2751,27055,27903,27904,56717,56767</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24613097$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21905656$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fantke, Peter</creatorcontrib><creatorcontrib>Juraske, Ronnie</creatorcontrib><creatorcontrib>Antón, Assumpció</creatorcontrib><creatorcontrib>Friedrich, Rainer</creatorcontrib><creatorcontrib>Jolliet, Olivier</creatorcontrib><title>Dynamic Multicrop Model to Characterize Impacts of Pesticides in Food</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>A new dynamic plant uptake model is presented to characterize health impacts of pesticides applied to food crops, based on a flexible set of interconnected compartments. We assess six crops covering a large fraction of the worldwide consumption. Model estimates correspond well with observed pesticide residues for 12 substance-crop combinations, showing residual errors between a factor 1.5 and 19. Human intake fractions, effect and characterization factors are provided for use in life cycle impact assessment for 726 substance-crop combinations and different application times. Intake fractions typically range from 10–2 to 10–8 kgintake kgapplied –1. Human health impacts vary up to 9 orders of magnitude between crops and 10 orders of magnitude between pesticides, stressing the importance of considering interactions between specific crop-environments and pesticides. Time between application and harvest, degradation half-life in plants and residence time in soil are driving the evolution of pesticide masses. We demonstrate that toxicity potentials can be reduced up to 99% by defining adequate pesticide substitutions. Overall, leafy vegetables only contribute to 2% of the vegetal consumption, but due to later application times and higher intake fractions may nevertheless lead to impacts comparable or even higher than via the larger amount of ingested cereals.</description><subject>Biological and medical sciences</subject><subject>Crops</subject><subject>Crops, Agricultural - metabolism</subject><subject>Edible Grain - metabolism</subject><subject>Environmental impact</subject><subject>Environmental Modeling</subject><subject>Food</subject><subject>Food Analysis - methods</subject><subject>Harvest</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Pesticides</subject><subject>Pesticides - analysis</subject><subject>Pesticides - metabolism</subject><subject>Pesticides, fertilizers and other agrochemicals toxicology</subject><subject>Toxicology</subject><subject>Vegetables - metabolism</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpl0E9LwzAYBvAgipvTg19AgiDioZo_TZscZW462NCDgrfyLk2xo21q0h7mpzeyuYGe3hx-vHneB6FzSm4pYfTOeEaokio_QEMqGImEFPQQDQmhPFI8eR-gE-9XhBDGiTxGA0YVEYlIhmjysG6gLjVe9FVXamdbvLC5qXBn8fgDHOjOuPLL4FndhrfHtsAvxgda5sbjssFTa_NTdFRA5c3Zdo7Q23TyOn6K5s-Ps_H9PAKe0i6KIWVCa6aUSFjMeSpZrFOuJEBsYsGMEJLnioIRRqRLkUIsl7woaK4LCgnjI3S92ds6-9mHGFldem2qChpje59JJQWJUy6CvPwjV7Z3TQiXqVAZS6RQAd1sULjbe2eKrHVlDW6dUZL9NJvtmg32YruwX9Ym38nfKgO42gLwGqrCQaNLv3dxQjlR6d6B9vtQ_z_8BrKnifo</recordid><startdate>20111015</startdate><enddate>20111015</enddate><creator>Fantke, Peter</creator><creator>Juraske, Ronnie</creator><creator>Antón, Assumpció</creator><creator>Friedrich, Rainer</creator><creator>Jolliet, Olivier</creator><general>American Chemical Society</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20111015</creationdate><title>Dynamic Multicrop Model to Characterize Impacts of Pesticides in Food</title><author>Fantke, Peter ; Juraske, Ronnie ; Antón, Assumpció ; Friedrich, Rainer ; Jolliet, Olivier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a371t-4a725cc2995624337824c7398aa4e452e5583d91ae5e57b57a48b3ff1dcf1a623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biological and medical sciences</topic><topic>Crops</topic><topic>Crops, Agricultural - metabolism</topic><topic>Edible Grain - metabolism</topic><topic>Environmental impact</topic><topic>Environmental Modeling</topic><topic>Food</topic><topic>Food Analysis - methods</topic><topic>Harvest</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Pesticides</topic><topic>Pesticides - analysis</topic><topic>Pesticides - metabolism</topic><topic>Pesticides, fertilizers and other agrochemicals toxicology</topic><topic>Toxicology</topic><topic>Vegetables - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fantke, Peter</creatorcontrib><creatorcontrib>Juraske, Ronnie</creatorcontrib><creatorcontrib>Antón, Assumpció</creatorcontrib><creatorcontrib>Friedrich, Rainer</creatorcontrib><creatorcontrib>Jolliet, Olivier</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fantke, Peter</au><au>Juraske, Ronnie</au><au>Antón, Assumpció</au><au>Friedrich, Rainer</au><au>Jolliet, Olivier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic Multicrop Model to Characterize Impacts of Pesticides in Food</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2011-10-15</date><risdate>2011</risdate><volume>45</volume><issue>20</issue><spage>8842</spage><epage>8849</epage><pages>8842-8849</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><coden>ESTHAG</coden><abstract>A new dynamic plant uptake model is presented to characterize health impacts of pesticides applied to food crops, based on a flexible set of interconnected compartments. We assess six crops covering a large fraction of the worldwide consumption. Model estimates correspond well with observed pesticide residues for 12 substance-crop combinations, showing residual errors between a factor 1.5 and 19. Human intake fractions, effect and characterization factors are provided for use in life cycle impact assessment for 726 substance-crop combinations and different application times. Intake fractions typically range from 10–2 to 10–8 kgintake kgapplied –1. Human health impacts vary up to 9 orders of magnitude between crops and 10 orders of magnitude between pesticides, stressing the importance of considering interactions between specific crop-environments and pesticides. Time between application and harvest, degradation half-life in plants and residence time in soil are driving the evolution of pesticide masses. We demonstrate that toxicity potentials can be reduced up to 99% by defining adequate pesticide substitutions. Overall, leafy vegetables only contribute to 2% of the vegetal consumption, but due to later application times and higher intake fractions may nevertheless lead to impacts comparable or even higher than via the larger amount of ingested cereals.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>21905656</pmid><doi>10.1021/es201989d</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0013-936X |
ispartof | Environmental science & technology, 2011-10, Vol.45 (20), p.8842-8849 |
issn | 0013-936X 1520-5851 |
language | eng |
recordid | cdi_proquest_miscellaneous_898504735 |
source | MEDLINE; ACS Publications |
subjects | Biological and medical sciences Crops Crops, Agricultural - metabolism Edible Grain - metabolism Environmental impact Environmental Modeling Food Food Analysis - methods Harvest Humans Medical sciences Pesticides Pesticides - analysis Pesticides - metabolism Pesticides, fertilizers and other agrochemicals toxicology Toxicology Vegetables - metabolism |
title | Dynamic Multicrop Model to Characterize Impacts of Pesticides in Food |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T20%3A09%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dynamic%20Multicrop%20Model%20to%20Characterize%20Impacts%20of%20Pesticides%20in%20Food&rft.jtitle=Environmental%20science%20&%20technology&rft.au=Fantke,%20Peter&rft.date=2011-10-15&rft.volume=45&rft.issue=20&rft.spage=8842&rft.epage=8849&rft.pages=8842-8849&rft.issn=0013-936X&rft.eissn=1520-5851&rft.coden=ESTHAG&rft_id=info:doi/10.1021/es201989d&rft_dat=%3Cproquest_cross%3E2502687401%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=902126859&rft_id=info:pmid/21905656&rfr_iscdi=true |