Chemical indicators of exposure to polychlorodibenzo-p-dioxins, polychlorodibenzofurans and polychlorobiphenyls in breast milk samples from mothers residing in Trento, Italy, and neighboring country municipalities

Miniero Roberto, Ferri Fabiola, Carraro Valter, Franchini Silva, Fulgenzi Anna Rita, Iacovella Nicola, Ingelido Anna Maria, De Felip Elena

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Abstract

A human biomonitoring study was carried out in the province of Trento, northern Italy, on two groups of women residing in areas with presumably different levels of exposure to polychlorodibenzo-p-dioxins (PCDDs), polychlorodibenzofurans (PCDFs) and polychlorobiphenyls (PCBs). The aim was characterization of the possible impact of a steel plant and an urban environment on the internal doses of these contaminants. The areas investigated were the following: (i) the municipality of Borgo Valsugana, where a steel plant has been operating for the last 30 years, and (ii) the city of Trento. Ten women were enrolled from each area, and breast milk samples were collected from each woman. The amounts of PCDDs, PCDFs and PCBs were analyzed in all samples, and the data obtained were evaluated by descriptive and multivariate statistical approaches. For all samples, the concentrations observed were in the current acceptable concentration range observed in Europe. The descriptive statistics, however, clearly showed that some differences existed between the two groups: the PCDD, PCDF and DL-PCB concentrations were consistently higher in the Trento group of women living in the area surrounding the steel plant. Congener-profile analysis was carried out on both groups, and an appropriate multivariate approach, such as classical factor analysis (CFA), was used to investigate possible differential exposure sources. The application of this approach made it possible to show the quantitative and qualitative differences that characterized the two areas.

Original languageEnglish
Pages (from-to)510-518
Number of pages9
JournalJournal of Environmental Science and Health - Part B Pesticides, Food Contaminants, and Agricultural Wastes
Volume53
Issue number8
DOIs
Publication statusPublished - Aug 3 2018

Fingerprint

dioxins
Iron and steel plants
Human Milk
breast milk
Italy
Steel
steel
Mothers
Factor analysis
sampling
absorbed dose
Environmental Monitoring
Statistics
Impurities
Statistical Factor Analysis
statistics
Polychlorinated Dibenzodioxins
polychlorodibenzofuran

Keywords

  • human milk
  • northern Italy
  • PCBs
  • PCDDs
  • PCDFs

ASJC Scopus subject areas

  • Food Science
  • Pollution

Cite this

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title = "Chemical indicators of exposure to polychlorodibenzo-p-dioxins, polychlorodibenzofurans and polychlorobiphenyls in breast milk samples from mothers residing in Trento, Italy, and neighboring country municipalities",
abstract = "A human biomonitoring study was carried out in the province of Trento, northern Italy, on two groups of women residing in areas with presumably different levels of exposure to polychlorodibenzo-p-dioxins (PCDDs), polychlorodibenzofurans (PCDFs) and polychlorobiphenyls (PCBs). The aim was characterization of the possible impact of a steel plant and an urban environment on the internal doses of these contaminants. The areas investigated were the following: (i) the municipality of Borgo Valsugana, where a steel plant has been operating for the last 30 years, and (ii) the city of Trento. Ten women were enrolled from each area, and breast milk samples were collected from each woman. The amounts of PCDDs, PCDFs and PCBs were analyzed in all samples, and the data obtained were evaluated by descriptive and multivariate statistical approaches. For all samples, the concentrations observed were in the current acceptable concentration range observed in Europe. The descriptive statistics, however, clearly showed that some differences existed between the two groups: the PCDD, PCDF and DL-PCB concentrations were consistently higher in the Trento group of women living in the area surrounding the steel plant. Congener-profile analysis was carried out on both groups, and an appropriate multivariate approach, such as classical factor analysis (CFA), was used to investigate possible differential exposure sources. The application of this approach made it possible to show the quantitative and qualitative differences that characterized the two areas.",
keywords = "human milk, northern Italy, PCBs, PCDDs, PCDFs",
author = "Miniero Roberto and Ferri Fabiola and Carraro Valter and Franchini Silva and Rita, {Fulgenzi Anna} and Iacovella Nicola and Maria, {Ingelido Anna} and Elena, {De Felip}",
year = "2018",
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T1 - Chemical indicators of exposure to polychlorodibenzo-p-dioxins, polychlorodibenzofurans and polychlorobiphenyls in breast milk samples from mothers residing in Trento, Italy, and neighboring country municipalities

AU - Roberto, Miniero

AU - Fabiola, Ferri

AU - Valter, Carraro

AU - Silva, Franchini

AU - Rita, Fulgenzi Anna

AU - Nicola, Iacovella

AU - Maria, Ingelido Anna

AU - Elena, De Felip

PY - 2018/8/3

Y1 - 2018/8/3

N2 - A human biomonitoring study was carried out in the province of Trento, northern Italy, on two groups of women residing in areas with presumably different levels of exposure to polychlorodibenzo-p-dioxins (PCDDs), polychlorodibenzofurans (PCDFs) and polychlorobiphenyls (PCBs). The aim was characterization of the possible impact of a steel plant and an urban environment on the internal doses of these contaminants. The areas investigated were the following: (i) the municipality of Borgo Valsugana, where a steel plant has been operating for the last 30 years, and (ii) the city of Trento. Ten women were enrolled from each area, and breast milk samples were collected from each woman. The amounts of PCDDs, PCDFs and PCBs were analyzed in all samples, and the data obtained were evaluated by descriptive and multivariate statistical approaches. For all samples, the concentrations observed were in the current acceptable concentration range observed in Europe. The descriptive statistics, however, clearly showed that some differences existed between the two groups: the PCDD, PCDF and DL-PCB concentrations were consistently higher in the Trento group of women living in the area surrounding the steel plant. Congener-profile analysis was carried out on both groups, and an appropriate multivariate approach, such as classical factor analysis (CFA), was used to investigate possible differential exposure sources. The application of this approach made it possible to show the quantitative and qualitative differences that characterized the two areas.

AB - A human biomonitoring study was carried out in the province of Trento, northern Italy, on two groups of women residing in areas with presumably different levels of exposure to polychlorodibenzo-p-dioxins (PCDDs), polychlorodibenzofurans (PCDFs) and polychlorobiphenyls (PCBs). The aim was characterization of the possible impact of a steel plant and an urban environment on the internal doses of these contaminants. The areas investigated were the following: (i) the municipality of Borgo Valsugana, where a steel plant has been operating for the last 30 years, and (ii) the city of Trento. Ten women were enrolled from each area, and breast milk samples were collected from each woman. The amounts of PCDDs, PCDFs and PCBs were analyzed in all samples, and the data obtained were evaluated by descriptive and multivariate statistical approaches. For all samples, the concentrations observed were in the current acceptable concentration range observed in Europe. The descriptive statistics, however, clearly showed that some differences existed between the two groups: the PCDD, PCDF and DL-PCB concentrations were consistently higher in the Trento group of women living in the area surrounding the steel plant. Congener-profile analysis was carried out on both groups, and an appropriate multivariate approach, such as classical factor analysis (CFA), was used to investigate possible differential exposure sources. The application of this approach made it possible to show the quantitative and qualitative differences that characterized the two areas.

KW - human milk

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