Abstract
To detect the content of 12 heavy metals in blood and hair sample from a general population of Pearl River Delta area, and to analyze the influence of duration of residence, gender, age, smoking and drinking on the heavy metal content. Use inductively coupled plasma mass spectrometry to detect the content of 12 heavy metals lead (Pb), mercury (Hg), cadmium (Cd), aluminum (Al), arsenic (As), copper (Cu), chrome (Cr), manganese (Mn), nickel (Ni), zinc (Zn), tin (Sn) and antimony (Sb) in blood and hair samples of a total of 50 subjects from a general population, collected by multistage stratified cluster random sampling method. The geometric mean of heavy metal content in blood samples of general population (μg/L): blood aluminum 214.00; blood chrome 92.82; blood manganese 21.43; blood nickel 20.59; blood copper 0.67; blood zinc 11.50; blood arsenic 0.55; blood cadmium 2.45; blood tin 0.00; blood antimony 1.92; blood lead 158.84; and blood mercury 1.19. The geometric mean of heavy metal content in hair samples of general population (μg/g): hair aluminum is 84.65; hair chrome 0.00; hair manganese 2.44; hair nickel 0.61; hair copper 28.49; hair zinc 136.65; hair arsenic 0.75; hair cadmium 0.46; hair tin 1.04; hair antimony 0.05; hair lead 8.97; and hair mercury 0.69. Some heavy metals were correlated with duration of residence, gender, age, smoking and drinking. This was the first time that simultaneously detecting heavy metal content in blood and hair was used to analyze the internal heavy metal burden in resident population of Pearl River Delta area. These data can serve as reference for further research.
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References
Lu, X., Zhang, X., Li, L. Y., et al. (2014). Assessment of metals pollution and health risk in dust from nursery schools in Xi’an, China. Environmental Research, 128, 27–34.
Gao, X., Zhou, F., & Chen, C. T. (2014). Pollution status of the Bohai Sea: An overview of the environmental quality assessment related trace metals. Environment International, 62, 12–30.
Xiao, R., Bai, J., Huang, L., et al. (2013). Distribution and pollution, toxicity and risk assessment of heavy metals in sediments from urban and rural rivers of the Pearl River Delta in southern China. Ecotoxicology, 22(10), 1564–1575.
Chang, C. Y., Yu, H. Y., Chen, J. J., et al. (2014). Accumulation of heavy metals in leaf vegetables from agricultural soils and associated potential health risks in the Pearl River Delta, South China. Environmental Monitoring and Assessment, 186(3), 1547–1560.
Perez-Cadahia, B., Laffon, B., Porta, M., et al. (2008). Relationship between blood concentrations of heavy metals and cytogenetic and endocrine parameters among subjects involved in cleaning coastal areas affected by the ‘Prestige’ tanker oil spill. Chemosphere, 71(3), 447–455.
Ley-Quinonez, C., Zavala-Norzagaray, A. A., Espinosa-Carreon, T. L., et al. (2011). Baseline heavy metals and metalloid values in blood of loggerhead turtles (Caretta caretta) from Baja California Sur, Mexico. Marine Pollution Bulletin, 62(9), 1979–1983.
Md, K. J., Wagiran, H., Hossain, I., et al. (2013). Screening heavy metals levels in hair of sanitation workers by X-ray fluorescence analysis. Journal of Environmental Radioactivity, 115, 1–5.
Wang, T., Fu, J., Wang, Y., et al. (2009). Use of scalp hair as indicator of human exposure to heavy metals in an electronic waste recycling area. Environmental Pollution, 157(8–9), 2445–2451.
Chen, T. J., Cheng, H. M., Wang, D. C., et al. (2011). Nonlethal aluminum maltolate can reduce brain-derived neurotrophic factor-induced arc expression through interrupting the ERK signaling in SH-SY5Y neuroblastoma cells. Toxicology Letters, 200(1–2), 67–76.
Ivanenko, N. B., Solovyev, N. D., Ivanenko, A. A., et al. (2012). Application of Zeeman graphite furnace atomic absorption spectrometry with high-frequency modulation polarization for the direct determination of aluminum, beryllium, cadmium, chromium, mercury, manganese, nickel, lead, and thallium in human blood. Archives of Environmental Contamination and Toxicology, 63(3), 299–308.
Cai, Y. (2011). Determination of select trace elements in hair of college students in Jinzhou, China. Biological Trace Element Research, 144(1–3), 469–474.
Letasiova, S., Medve’Ova, A., Sovcikova, A., et al. (2012). Bladder cancer: A review of the environmental risk factors. Environment Health, 11(Suppl 1), S11.
Ferris, J., Berbel, O., Alonso-Lopez, J., et al. (2013). Environmental non-occupational risk factors associated with bladder cancer. Actas Urologicas Espanolas, 37(9), 579–586.
Yan, L., Chen, X., Wang, J., et al. (2012). Concentration and comparison studies of main heavy metals in adult blood in four cities. Wei Sheng Yan Jiu, 41(5), 840–843.
Jin, L., Liu, J., Ye, B., et al. (2014). Concentrations of selected heavy metals in maternal blood and associated factors in rural areas in Shanxi Province, China. Environment International, 66C, 157–164.
Han, D. H., Lee, H. J., & Lim, S. (2013). Smoking induced heavy metals and periodontitis: Findings from the Korea National Health and Nutrition Examination Surveys 2008–2010. Journal of Clinical Periodontology, 40(9), 850–858.
Ashraf, M. W. (2012). Levels of heavy metals in popular cigarette brands and exposure to these metals via smoking. The Scientific World Journal, 2012, 729430.
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Li, J., Cen, D., Huang, D. et al. Detection and Analysis of 12 Heavy Metals in Blood and Hair Sample from a General Population of Pearl River Delta Area. Cell Biochem Biophys 70, 1663–1669 (2014). https://doi.org/10.1007/s12013-014-0110-6
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DOI: https://doi.org/10.1007/s12013-014-0110-6