Čargonja Marija, Mekterović Darko, Žurga Paula, Ravlić-Gulan Jagoda, Radović Iva Bogdanović, Žauhar Gordana
Faculty of Physics, University of Rijeka, Radmile Matejčić 2, HR-51000, Rijeka, Croatia.
Teaching Institute of Public Health of Primorsko-Goranska County, Krešimirova 52a, HR-51000, Rijeka, Croatia.
Environ Sci Pollut Res Int. 2023 Mar;30(13):36794-36806. doi: 10.1007/s11356-022-24746-3. Epub 2022 Dec 23.
Welding and cutting of metals produce large amounts of particulate matter (PM), which poses a significant health risk to exposed workers. Appropriate biological markers to estimate exposure are of great interest for occupational health and safety. Here, hair and nail samples from metal workers were analyzed, which appear to be more suitable than blood or urine samples for assessing long-term exposure. Four workshops working with steel components were included in the study. The hair and nail samples were analyzed by inductively coupled plasma mass spectrometry (ICP-MS) to measure the concentrations of 12 elements. At the workplaces, the concentrations of 15 elements in particulate matter were determined using X-ray fluorescence (XRF) and particle-induced X-ray emission (PIXE) techniques. The hair and nail samples of the workers contained significantly higher metal concentrations than the analytical results of a nonexposed control group. The most significant difference between the groups was found for Ti, Mn, Fe, and Co.
金属的焊接和切割会产生大量颗粒物（PM），这对接触的工人构成重大健康风险。用于估计接触情况的合适生物标志物对职业健康与安全非常重要。在此，对金属工人的头发和指甲样本进行了分析，它们似乎比血液或尿液样本更适合评估长期接触情况。该研究纳入了四个从事钢铁部件加工的车间。通过电感耦合等离子体质谱法（ICP-MS）分析头发和指甲样本，以测量12种元素的浓度。在工作场所，使用X射线荧光（XRF）和粒子诱导X射线发射（PIXE）技术测定颗粒物中15种元素的浓度。工人的头发和指甲样本中的金属浓度明显高于未接触对照组的分析结果。两组之间差异最显著的元素是钛、锰、铁和钴。
