Influence of Two-Stage Combinations of Constructed Wetlands on the Removal of Antibiotics, Antibiotic Resistance Genes and Nutrients from Goose Wastewater
Antibiotic and antibiotic resistance genes (ARGs) have been considered as emerging environmental contaminants and possess potential crisis to global public health. However, little is known about the differences between various configurations of two-stage combinations of constructed wetlands (CWs) on...
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| Veröffentlicht in: | International journal of environmental research and public health 2019-10, Vol.16 (20), p.4030 |
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| creator | Huang, Xiaofeng Luo, Yi Liu, Zuolan Zhang, Changlian Zhong, Hang Xue, Jiajia Wang, Qigui Zhu, Zhiping Wang, Chao |
| description | Antibiotic and antibiotic resistance genes (ARGs) have been considered as emerging environmental contaminants and possess potential crisis to global public health. However, little is known about the differences between various configurations of two-stage combinations of constructed wetlands (CWs) on antibiotics and ARG removal from wastewater. In the study, three configurations of two-stage hybrid CWs (horizontal subsurface flow-down-flow vertical subsurface flow CWs, HF-DVF; horizontal subsurface flow-up-flow vertical subsurface flow CWs, HF-UVF; down-flow vertical subsurface flow-up-flow vertical subsurface flow CWs, DVF-UVF) were operated to evaluate their ability to remove high-concentration antibiotics (tilmicosin-TMS and doxycycline-DOC), ARGs (seven
genes and three
genes),
1, 16S rRNA, and nutrients from goose wastewater. The results showed that all three hybrid CWs could remove more than 98% of TMS and DOC from wastewater, without significant difference among treatments (
> 0.05). For ARGs, DVF-UVF showed significantly higher removal efficiencies of
1,
B,
C,
F,
W, and
G compared to HF-UVF (
< 0.05), mainly because they might remove and arrest growth of bacteria. The relatively high removal efficiencies of NH
-N, NO
N, and NO
-N were also observed from DVF-UVF, ranging from 87% to 95% (
> 0.05), indicating that anaerobic ammonium oxidation (anammox) might be established in the CWs. Our results demonstrate that the removal performances of antibiotics using two-stage hybrid CWs are not affected by the combined configuration, whereas the combination of DVF and UVF CWs perform better on the removal of ARGs and nutrients compared with HF-DVF and HF-UVF CWs. |
| doi_str_mv | 10.3390/ijerph16204030 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6843979</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2308138597</sourcerecordid><originalsourceid>FETCH-LOGICAL-c418t-19f8181eea983fdb7b4c150de7e0aa8805be061e21c8c8ea8240a89b18e444ea3</originalsourceid><addsrcrecordid>eNpdkVFPHCEQx4nRVGv76mND4ksfuhYWjoMXE3NprybGJmrjI2HZWY_LLlyB1fhV_LRlozWnTwPMb_7zHwahI0pOGFPku1tD3KyoqAknjOygAyoEqbggdHfrvI8-prQmhEku1Ae0z6jgpBbyAD2d-64fwVvAocM3D6G6zuYO8CIMjfMmu-DTlFmUmONoM7T4FnJvfFvePc4rwFcwhHvTT9iZz65xITubvm1dCpJcymZqswQPCZd6fDnm6MDnhLsYBrwMIQG-NSnDg8kQP6G9zvQJPr_EQ_Tn54-bxa_q4vfyfHF2UVlOZa6o6iSVFMAoybq2mTfc0hlpYQ7EGCnJrAEiKNTUSivByJoTI1VDJXDOwbBDdPqsuxmbAVpbHEXT6010g4mPOhin32a8W-m7cK-F5EzNVRH4-iIQw98RUtaDSxb68kkQxqRrRiRlcqbmBT1-h67DGH0Zr1C1EsURnwRPnikbQ0oRulczlOhp7frt2kvBl-0RXvH_e2b_ALV_rVo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2329644449</pqid></control><display><type>article</type><title>Influence of Two-Stage Combinations of Constructed Wetlands on the Removal of Antibiotics, Antibiotic Resistance Genes and Nutrients from Goose Wastewater</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>PubMed Central Open Access</source><creator>Huang, Xiaofeng ; Luo, Yi ; Liu, Zuolan ; Zhang, Changlian ; Zhong, Hang ; Xue, Jiajia ; Wang, Qigui ; Zhu, Zhiping ; Wang, Chao</creator><creatorcontrib>Huang, Xiaofeng ; Luo, Yi ; Liu, Zuolan ; Zhang, Changlian ; Zhong, Hang ; Xue, Jiajia ; Wang, Qigui ; Zhu, Zhiping ; Wang, Chao</creatorcontrib><description>Antibiotic and antibiotic resistance genes (ARGs) have been considered as emerging environmental contaminants and possess potential crisis to global public health. However, little is known about the differences between various configurations of two-stage combinations of constructed wetlands (CWs) on antibiotics and ARG removal from wastewater. In the study, three configurations of two-stage hybrid CWs (horizontal subsurface flow-down-flow vertical subsurface flow CWs, HF-DVF; horizontal subsurface flow-up-flow vertical subsurface flow CWs, HF-UVF; down-flow vertical subsurface flow-up-flow vertical subsurface flow CWs, DVF-UVF) were operated to evaluate their ability to remove high-concentration antibiotics (tilmicosin-TMS and doxycycline-DOC), ARGs (seven
genes and three
genes),
1, 16S rRNA, and nutrients from goose wastewater. The results showed that all three hybrid CWs could remove more than 98% of TMS and DOC from wastewater, without significant difference among treatments (
> 0.05). For ARGs, DVF-UVF showed significantly higher removal efficiencies of
1,
B,
C,
F,
W, and
G compared to HF-UVF (
< 0.05), mainly because they might remove and arrest growth of bacteria. The relatively high removal efficiencies of NH
-N, NO
N, and NO
-N were also observed from DVF-UVF, ranging from 87% to 95% (
> 0.05), indicating that anaerobic ammonium oxidation (anammox) might be established in the CWs. Our results demonstrate that the removal performances of antibiotics using two-stage hybrid CWs are not affected by the combined configuration, whereas the combination of DVF and UVF CWs perform better on the removal of ARGs and nutrients compared with HF-DVF and HF-UVF CWs.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph16204030</identifier><identifier>PMID: 31640268</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Animals ; Anti-Bacterial Agents - analysis ; Antibiotic resistance ; Antibiotics ; Aquatic birds ; Artificial wetlands ; Chemical oxygen demand ; Configurations ; Contaminants ; Deoxyribonucleic acid ; DNA ; Drug resistance ; Drug Resistance, Microbial - genetics ; Experiments ; Geese ; Genes ; Genes, Bacterial ; Nitrates ; Nitrogen ; Nutrient removal ; Nutrients ; Physicochemical properties ; Pollutants ; Public health ; RNA, Ribosomal, 16S ; Variance analysis ; Waste Disposal, Fluid - methods ; Waste Water - analysis ; Waste Water - microbiology ; Wastewater ; Water Pollutants, Chemical - analysis ; Wetlands ; Zeolites</subject><ispartof>International journal of environmental research and public health, 2019-10, Vol.16 (20), p.4030</ispartof><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 by the authors. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-19f8181eea983fdb7b4c150de7e0aa8805be061e21c8c8ea8240a89b18e444ea3</citedby><cites>FETCH-LOGICAL-c418t-19f8181eea983fdb7b4c150de7e0aa8805be061e21c8c8ea8240a89b18e444ea3</cites><orcidid>0000-0001-6394-4656</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843979/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843979/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31640268$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Xiaofeng</creatorcontrib><creatorcontrib>Luo, Yi</creatorcontrib><creatorcontrib>Liu, Zuolan</creatorcontrib><creatorcontrib>Zhang, Changlian</creatorcontrib><creatorcontrib>Zhong, Hang</creatorcontrib><creatorcontrib>Xue, Jiajia</creatorcontrib><creatorcontrib>Wang, Qigui</creatorcontrib><creatorcontrib>Zhu, Zhiping</creatorcontrib><creatorcontrib>Wang, Chao</creatorcontrib><title>Influence of Two-Stage Combinations of Constructed Wetlands on the Removal of Antibiotics, Antibiotic Resistance Genes and Nutrients from Goose Wastewater</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>Antibiotic and antibiotic resistance genes (ARGs) have been considered as emerging environmental contaminants and possess potential crisis to global public health. However, little is known about the differences between various configurations of two-stage combinations of constructed wetlands (CWs) on antibiotics and ARG removal from wastewater. In the study, three configurations of two-stage hybrid CWs (horizontal subsurface flow-down-flow vertical subsurface flow CWs, HF-DVF; horizontal subsurface flow-up-flow vertical subsurface flow CWs, HF-UVF; down-flow vertical subsurface flow-up-flow vertical subsurface flow CWs, DVF-UVF) were operated to evaluate their ability to remove high-concentration antibiotics (tilmicosin-TMS and doxycycline-DOC), ARGs (seven
genes and three
genes),
1, 16S rRNA, and nutrients from goose wastewater. The results showed that all three hybrid CWs could remove more than 98% of TMS and DOC from wastewater, without significant difference among treatments (
> 0.05). For ARGs, DVF-UVF showed significantly higher removal efficiencies of
1,
B,
C,
F,
W, and
G compared to HF-UVF (
< 0.05), mainly because they might remove and arrest growth of bacteria. The relatively high removal efficiencies of NH
-N, NO
N, and NO
-N were also observed from DVF-UVF, ranging from 87% to 95% (
> 0.05), indicating that anaerobic ammonium oxidation (anammox) might be established in the CWs. Our results demonstrate that the removal performances of antibiotics using two-stage hybrid CWs are not affected by the combined configuration, whereas the combination of DVF and UVF CWs perform better on the removal of ARGs and nutrients compared with HF-DVF and HF-UVF CWs.</description><subject>Animals</subject><subject>Anti-Bacterial Agents - analysis</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Aquatic birds</subject><subject>Artificial wetlands</subject><subject>Chemical oxygen demand</subject><subject>Configurations</subject><subject>Contaminants</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Drug resistance</subject><subject>Drug Resistance, Microbial - genetics</subject><subject>Experiments</subject><subject>Geese</subject><subject>Genes</subject><subject>Genes, Bacterial</subject><subject>Nitrates</subject><subject>Nitrogen</subject><subject>Nutrient removal</subject><subject>Nutrients</subject><subject>Physicochemical properties</subject><subject>Pollutants</subject><subject>Public health</subject><subject>RNA, Ribosomal, 16S</subject><subject>Variance analysis</subject><subject>Waste Disposal, Fluid - methods</subject><subject>Waste Water - analysis</subject><subject>Waste Water - microbiology</subject><subject>Wastewater</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Wetlands</subject><subject>Zeolites</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkVFPHCEQx4nRVGv76mND4ksfuhYWjoMXE3NprybGJmrjI2HZWY_LLlyB1fhV_LRlozWnTwPMb_7zHwahI0pOGFPku1tD3KyoqAknjOygAyoEqbggdHfrvI8-prQmhEku1Ae0z6jgpBbyAD2d-64fwVvAocM3D6G6zuYO8CIMjfMmu-DTlFmUmONoM7T4FnJvfFvePc4rwFcwhHvTT9iZz65xITubvm1dCpJcymZqswQPCZd6fDnm6MDnhLsYBrwMIQG-NSnDg8kQP6G9zvQJPr_EQ_Tn54-bxa_q4vfyfHF2UVlOZa6o6iSVFMAoybq2mTfc0hlpYQ7EGCnJrAEiKNTUSivByJoTI1VDJXDOwbBDdPqsuxmbAVpbHEXT6010g4mPOhin32a8W-m7cK-F5EzNVRH4-iIQw98RUtaDSxb68kkQxqRrRiRlcqbmBT1-h67DGH0Zr1C1EsURnwRPnikbQ0oRulczlOhp7frt2kvBl-0RXvH_e2b_ALV_rVo</recordid><startdate>20191021</startdate><enddate>20191021</enddate><creator>Huang, Xiaofeng</creator><creator>Luo, Yi</creator><creator>Liu, Zuolan</creator><creator>Zhang, Changlian</creator><creator>Zhong, Hang</creator><creator>Xue, Jiajia</creator><creator>Wang, Qigui</creator><creator>Zhu, Zhiping</creator><creator>Wang, Chao</creator><general>MDPI AG</general><general>MDPI</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6394-4656</orcidid></search><sort><creationdate>20191021</creationdate><title>Influence of Two-Stage Combinations of Constructed Wetlands on the Removal of Antibiotics, Antibiotic Resistance Genes and Nutrients from Goose Wastewater</title><author>Huang, Xiaofeng ; Luo, Yi ; Liu, Zuolan ; Zhang, Changlian ; Zhong, Hang ; Xue, Jiajia ; Wang, Qigui ; Zhu, Zhiping ; Wang, Chao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-19f8181eea983fdb7b4c150de7e0aa8805be061e21c8c8ea8240a89b18e444ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Animals</topic><topic>Anti-Bacterial Agents - analysis</topic><topic>Antibiotic resistance</topic><topic>Antibiotics</topic><topic>Aquatic birds</topic><topic>Artificial wetlands</topic><topic>Chemical oxygen demand</topic><topic>Configurations</topic><topic>Contaminants</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Drug resistance</topic><topic>Drug Resistance, Microbial - genetics</topic><topic>Experiments</topic><topic>Geese</topic><topic>Genes</topic><topic>Genes, Bacterial</topic><topic>Nitrates</topic><topic>Nitrogen</topic><topic>Nutrient removal</topic><topic>Nutrients</topic><topic>Physicochemical properties</topic><topic>Pollutants</topic><topic>Public health</topic><topic>RNA, Ribosomal, 16S</topic><topic>Variance analysis</topic><topic>Waste Disposal, Fluid - methods</topic><topic>Waste Water - analysis</topic><topic>Waste Water - microbiology</topic><topic>Wastewater</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Wetlands</topic><topic>Zeolites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Xiaofeng</creatorcontrib><creatorcontrib>Luo, Yi</creatorcontrib><creatorcontrib>Liu, Zuolan</creatorcontrib><creatorcontrib>Zhang, Changlian</creatorcontrib><creatorcontrib>Zhong, Hang</creatorcontrib><creatorcontrib>Xue, Jiajia</creatorcontrib><creatorcontrib>Wang, Qigui</creatorcontrib><creatorcontrib>Zhu, Zhiping</creatorcontrib><creatorcontrib>Wang, Chao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Xiaofeng</au><au>Luo, Yi</au><au>Liu, Zuolan</au><au>Zhang, Changlian</au><au>Zhong, Hang</au><au>Xue, Jiajia</au><au>Wang, Qigui</au><au>Zhu, Zhiping</au><au>Wang, Chao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of Two-Stage Combinations of Constructed Wetlands on the Removal of Antibiotics, Antibiotic Resistance Genes and Nutrients from Goose Wastewater</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2019-10-21</date><risdate>2019</risdate><volume>16</volume><issue>20</issue><spage>4030</spage><pages>4030-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Antibiotic and antibiotic resistance genes (ARGs) have been considered as emerging environmental contaminants and possess potential crisis to global public health. However, little is known about the differences between various configurations of two-stage combinations of constructed wetlands (CWs) on antibiotics and ARG removal from wastewater. In the study, three configurations of two-stage hybrid CWs (horizontal subsurface flow-down-flow vertical subsurface flow CWs, HF-DVF; horizontal subsurface flow-up-flow vertical subsurface flow CWs, HF-UVF; down-flow vertical subsurface flow-up-flow vertical subsurface flow CWs, DVF-UVF) were operated to evaluate their ability to remove high-concentration antibiotics (tilmicosin-TMS and doxycycline-DOC), ARGs (seven
genes and three
genes),
1, 16S rRNA, and nutrients from goose wastewater. The results showed that all three hybrid CWs could remove more than 98% of TMS and DOC from wastewater, without significant difference among treatments (
> 0.05). For ARGs, DVF-UVF showed significantly higher removal efficiencies of
1,
B,
C,
F,
W, and
G compared to HF-UVF (
< 0.05), mainly because they might remove and arrest growth of bacteria. The relatively high removal efficiencies of NH
-N, NO
N, and NO
-N were also observed from DVF-UVF, ranging from 87% to 95% (
> 0.05), indicating that anaerobic ammonium oxidation (anammox) might be established in the CWs. Our results demonstrate that the removal performances of antibiotics using two-stage hybrid CWs are not affected by the combined configuration, whereas the combination of DVF and UVF CWs perform better on the removal of ARGs and nutrients compared with HF-DVF and HF-UVF CWs.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>31640268</pmid><doi>10.3390/ijerph16204030</doi><orcidid>https://orcid.org/0000-0001-6394-4656</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
| subjects | Animals Anti-Bacterial Agents - analysis Antibiotic resistance Antibiotics Aquatic birds Artificial wetlands Chemical oxygen demand Configurations Contaminants Deoxyribonucleic acid DNA Drug resistance Drug Resistance, Microbial - genetics Experiments Geese Genes Genes, Bacterial Nitrates Nitrogen Nutrient removal Nutrients Physicochemical properties Pollutants Public health RNA, Ribosomal, 16S Variance analysis Waste Disposal, Fluid - methods Waste Water - analysis Waste Water - microbiology Wastewater Water Pollutants, Chemical - analysis Wetlands Zeolites |
| title | Influence of Two-Stage Combinations of Constructed Wetlands on the Removal of Antibiotics, Antibiotic Resistance Genes and Nutrients from Goose Wastewater |
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