Development and validation of an ICP-MS method and its application in assessing heavy metals in whole blood samples among occupationally exposed lead smelting plant workers

• Published in: Journal of biological inorganic chemistry 2024-10, Vol.29 (7), p.763-771
• Main Authors: Upadhyay, Kuldip, Viramgami, Ankit, Balachandar, Rakesh, Sheth, Ankit, Sivaperumal, P.
• Format: Article
• Language: English
• Subjects: Adult; Arsenic; Biochemistry; Biomedical and Life Sciences; Blood levels; Blood pressure; Cadmium; Data acquisition; Health risk assessment; Health risks; Heavy metals; Humans; Hygiene; Kinetic energy; Lead - blood; Life Sciences; Male; Mass Spectrometry - methods; Mass spectroscopy; Metallurgy; Metals, Heavy - blood; Microbiology; Middle Aged; Occupational exposure; Occupational Exposure - adverse effects; Occupational Exposure - analysis; Original Paper; Smelters; Trace elements (nutrients)
• ISSN: 1432-1327; 0949-8257; 1432-1327
• DOI: 10.1007/s00775-024-02077-7

Occupational exposure to heavy metals affects various organ systems and poses a significant health risk to workers. Consequently, its precise estimation is of clinical concern and warrants the need for an analytical method with reliable precision and accuracy. The current study aimed to develop an analytical method using inductively coupled plasma‒mass spectrometry (ICP-MS) to detect trace to elevated levels of potentially toxic elements in human blood. The sample preparation was optimized using a two-step ramp temperature microwave acid digestion program. The toxic elements were quantified using ICP-MS operating in kinetic energy discrimination (KED) mode, adjusting the data acquisition parameters and instrumental settings. The analytical method was validated using standard performance parameters. Each validation parameter was aligned with the acceptable criteria outlined in standard guidelines. The method achieved optimal linearity ( r 2  > 0.99), recovery (85.60–112.00%), and precision (1.35–7.03%), was capable of detecting the lowest concentrations of 0.32, 0.28, 0.28, and 0.19 µg/L, and was capable of quantifying trace levels of 1.01, 0.88, 0.90, and 0.62 µg/L for arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb), respectively. Post-validation, the method was applied to estimate heavy metals in blood samples from 250 Pb-smelting plant workers, revealing potential health implications of occupational exposure. The cohort analysis revealed that demographic and employment factors were associated with elevated blood Pb levels, leading to symptoms and health risks. Clinical analysis revealed that 33.6% of the participants experienced hypertension. These findings highlight the significant health risks associated with elevated blood Pb levels. The weak but significant correlation with systolic blood pressure underscores the need for improved monitoring and workplace safety. This emphasizes the importance of continuous monitoring, targeted interventions, and enhanced occupational hygiene to protect workers’ well-being. Graphical abstract