Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of Chile

Abstract According to a One Health perspective, the importance of persistent organic pollutants (POPs) must be assessed because of their impact on the environment, food chain and human health. However, information on these toxic compounds is limited in Latin America and the Caribbean region. Chile i...

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Autores principales: Pizarro-Aránguiz,Nicolás, García-Mendoza,Diego, Muñoz,Rubén, San Martín,Betty, Morales,Rodrigo
Lenguaje:English
Publicado: Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2018
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202018000200109
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spelling oai:scielo:S0718-162020180002001092018-09-24Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of ChilePizarro-Aránguiz,NicolásGarcía-Mendoza,DiegoMuñoz,RubénSan Martín,BettyMorales,Rodrigo Dioxin-like polychlorinated biphenyls environmental variables food contamination persistent organic pollutants polychlorinated dibenzo-p-dioxins polychlorinated dibenzofurans Abstract According to a One Health perspective, the importance of persistent organic pollutants (POPs) must be assessed because of their impact on the environment, food chain and human health. However, information on these toxic compounds is limited in Latin America and the Caribbean region. Chile is no exception; therefore, this work aimed to explain previously reported dioxin levels in cow-milk samples by utilizing regression with meteorological/geographical data that were collected over a three-year survey. To accomplish this aim, a stepwise general multiple regression analysis was carried out for polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), and dioxin-like polychlorinated biphenyls (dl-PCBs). The best statistical adjustments were achieved only for highly present congeners. Regarding PCDD/F congeners, the most relevant and significant (P <0.05) factors were the year (mostly a negative coefficient), the season, and the hectares affected by forest fires. In the case of dl-PCB congeners, there was a clear, positive relationship with the geographic parameter (UTM), and this result was consistent with previous findings that dl-PCB congeners show a trend with latitude. In contrast, wind speed was a significant negative coefficient for dl-PCBs. Despite existing knowledge on pollutant levels in milk, this study is relevant to better understand these findings in the Latin America and Caribbean regions.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.45 n.2 20182018-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202018000200109en10.7764/rcia.v45i2.1887
institution Scielo Chile
collection Scielo Chile
language English
topic Dioxin-like polychlorinated biphenyls
environmental variables
food contamination
persistent organic pollutants
polychlorinated dibenzo-p-dioxins
polychlorinated dibenzofurans
spellingShingle Dioxin-like polychlorinated biphenyls
environmental variables
food contamination
persistent organic pollutants
polychlorinated dibenzo-p-dioxins
polychlorinated dibenzofurans
Pizarro-Aránguiz,Nicolás
García-Mendoza,Diego
Muñoz,Rubén
San Martín,Betty
Morales,Rodrigo
Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of Chile
description Abstract According to a One Health perspective, the importance of persistent organic pollutants (POPs) must be assessed because of their impact on the environment, food chain and human health. However, information on these toxic compounds is limited in Latin America and the Caribbean region. Chile is no exception; therefore, this work aimed to explain previously reported dioxin levels in cow-milk samples by utilizing regression with meteorological/geographical data that were collected over a three-year survey. To accomplish this aim, a stepwise general multiple regression analysis was carried out for polychlorinated dibenzo-p-dioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), and dioxin-like polychlorinated biphenyls (dl-PCBs). The best statistical adjustments were achieved only for highly present congeners. Regarding PCDD/F congeners, the most relevant and significant (P <0.05) factors were the year (mostly a negative coefficient), the season, and the hectares affected by forest fires. In the case of dl-PCB congeners, there was a clear, positive relationship with the geographic parameter (UTM), and this result was consistent with previous findings that dl-PCB congeners show a trend with latitude. In contrast, wind speed was a significant negative coefficient for dl-PCBs. Despite existing knowledge on pollutant levels in milk, this study is relevant to better understand these findings in the Latin America and Caribbean regions.
author Pizarro-Aránguiz,Nicolás
García-Mendoza,Diego
Muñoz,Rubén
San Martín,Betty
Morales,Rodrigo
author_facet Pizarro-Aránguiz,Nicolás
García-Mendoza,Diego
Muñoz,Rubén
San Martín,Betty
Morales,Rodrigo
author_sort Pizarro-Aránguiz,Nicolás
title Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of Chile
title_short Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of Chile
title_full Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of Chile
title_fullStr Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of Chile
title_full_unstemmed Impact of environmental variables on PCDD/F and dl-PCB levels in dairy milk of the farming region of Chile
title_sort impact of environmental variables on pcdd/f and dl-pcb levels in dairy milk of the farming region of chile
publisher Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate 2018
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202018000200109
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