Research Article - Biomedical Research (2017) Volume 0, Issue 0

The level and influencing factors of dioxin in breast milk of lactating women around the waste incineration plant

Objective: To detect the levels of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) in breast milk of lactating women around the waste incineration plant in Shenzhen city, and analyze the related influencing factors.

Methods: In 2011 4~12 months, 89 breast milk samples within 1~2 month birth from lactating women within the range of 5 km in the waste incineration plant were collected from 2011.04 to 2011.12. After pretreatment, 17 gradients of PCDD/Fs in breast milk samples were quantitatively analyzed with isotope dilution high resolution gas chromatography/high resolution mass spectrometry (HRGC/HRMS), and the normal concentration of total toxic was calculated. SPSS13.0 was used to analyze the relationship between nurse age, residence time, diet and other factors and PCDD/Fs concentration of breast milk.

Results: In breast milk samples, the median of mass concentration of ΣPCDD/Fs was 181.52 pg/g fat, and the median concentration of ΣTEQ-PCDD/Fs was 5.80 pg/g fat. According to the mass concentration, the dominant compounds are OCDD of 84.26%, 1, 2, 3, 4, 6, 7, 8-HpCDD of 5.84% and OCDF of 2.14%. Based on the TEQ concentration, the dominant compounds of pollution compounds were 2, 3, 4, 7, 8-PeCDF of 39.45%, 1, 2, 3, 4, 7, 8-HxCDF of 7.56% and 1, 2, , 3, 7, 8-PeCDD of 24.20%. The statistical analysis found that PCDD/Fs load was related to age and breast milk, PCDD/Fs load in breast milk of high maternal age group was higher than the low age group (7.71 pg/g fat and 6.34 pg/g fat, P=0.04); PCDD/Fs load level in breast milk was associated with family income (r=0.22, P<0.05).

Conclusion: The levels of dioxin compounds in breast milk around the waste incineration plant in Shenzhen are equivalent with common population in Shenzhen. The level of PCDD/Fs in breast milk is positively related to maternal age and family income.

Author(s): Lei Ma, Xie Chen, Min Zhao

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