Bhatia Mayuri, Specht Aaron J, Ramya Vallabhuni, Sulaiman Dahy, Konda Manasa, Balcom Prentiss, Sunderland Elsie M, Qureshi Asif
Department of Civil Engineering, Indian Institute of Technology (IIT) Hyderabad, Kandi, Telangana 502285, India.
Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts 02115, United States.
Environ Sci Technol. 2021 Oct 5;55(19):13113-13121. doi: 10.1021/acs.est.1c00937. Epub 2021 Sep 16.
Chronic exposure to inorganic pollutants adversely affects human health. Inductively coupled plasma mass spectrometry (ICP-MS) is the most common method used for trace metal(loid) analysis of human biomarkers. However, it leads to sample destruction, generation of secondary waste, and significant recurring costs. Portable X-ray fluorescence (XRF) instruments can rapidly and nondestructively determine low concentrations of metal(loid)s. In this work, we evaluated the applicability of portable XRF as a rapid method for analyzing trace metal(loid)s in toenail samples from three populations ( = 97) near the city of Chennai, India. A Passing-Bablok regression analysis of results from both methods revealed that there was no proportional bias among the two methods for nickel (measurement range ∼25 to 420 mg/kg), zinc (10 to 890 mg/kg), and lead (0.29 to 4.47 mg/kg). There was a small absolute bias between the two methods. There was a strong proportional bias (slope = 0.253, 95% CI: 0.027, 0.614) between the two methods for arsenic (below detection to 3.8 mg/kg) and for selenium when the concentrations were lower than 2 mg/kg. Limits of agreement between the two methods using Bland-Altman analysis were derived for nickel, zinc, and lead. Overall, a suitably calibrated and evaluated portable XRF shows promise in making high-throughput assessments at population scales.
长期接触无机污染物会对人体健康产生不利影响。电感耦合等离子体质谱法(ICP-MS)是用于人体生物标志物痕量金属(类金属)分析的最常用方法。然而,它会导致样品破坏、产生二次废物以及产生大量重复成本。便携式X射线荧光(XRF)仪器可以快速、无损地测定低浓度的金属(类金属)。在这项工作中,我们评估了便携式XRF作为一种快速分析印度钦奈市附近三个群体(n = 97)趾甲样品中痕量金属(类金属)的方法的适用性。两种方法结果的Passing-Bablok回归分析表明,对于镍(测量范围约为25至420 mg/kg)、锌(10至890 mg/kg)和铅(0.29至4.47 mg/kg),两种方法之间不存在比例偏差。两种方法之间存在较小的绝对偏差。对于砷(低于检测限至3.8 mg/kg)以及浓度低于2 mg/kg时的硒,两种方法之间存在强烈的比例偏差(斜率 = 0.253,95%置信区间:0.027,0.614)。使用Bland-Altman分析得出了两种方法对镍、锌和铅的一致性界限。总体而言,经过适当校准和评估的便携式XRF在进行人群规模的高通量评估方面显示出前景。