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High-throughput mercury speciation analysis of breast milk using HPLC-ICP-MS

Kenta Iwai, Miyuki Iwai‐Shimada, Tatsuta Nozomi, Yayoi Kobayashi, Kaname Asato, Mitsuo Nishimoto, Kunihiko Nakai, Shoji F. Nakayama

2025Microchemical Journal11 citationsDOIOpen Access PDF

Abstract

• A high-throughput and sensitive mercury speciation method was developed for breast milk. • Hg 2+ and MeHg + separated excellently using DMPS as a mercury-chelating agent. • MeHg + levels were higher in hindmilk and correlated with the fat content. • Hg 2+ levels did not differ between fore- and hindmilk and correlated with Se levels. Despite concerns regarding infant exposure to methylmercury (MeHg + ), few studies have investigated the separate determination of mercury species in breast milk, and breast milk collection methodology has not been adequately examined. In this study, a high-throughput analytical method was developed for the simultaneous quantification of inorganic mercury (Hg 2+ ) and MeHg + in human breast milk using high-performance liquid chromatography equipped with inductively coupled plasma mass spectrometry (HPLC-ICP-MS). Quality control was performed using NIST SRM 1953, a certified reference material for breast milk containing Hg 2+ and MeHg + , and the accuracy was 99 %. Furthermore, a 4-month study was conducted in which monthly breast milk samples from 10 participants were analyzed to examine the effects of the collection method (foremilk or hindmilk) and collection time. The median concentrations (ng g −1 ) for the 80 samples were 0.109 (5th-95th percentile: 0.014–0.365) for Hg 2+ and 0.220 (5th–95th percentile: 0.046–0.792) for MeHg + . The total mercury concentrations obtained via HPLC-ICP-MS analysis were compared with those measured using inductively coupled plasma mass spectrometry (ICP-MS), and a high correlation was achieved (Pearson’s correlation coefficient = 0.946). ICP-MS analysis was conducted to determine the content of several additional elements in the breastmilk samples, and an association was found between the Selenium and Hg 2+ contents. In contrast, the MeHg + and fat contents were correlated, with the MeHg + concentration being higher in hindmilk.

Topics & Concepts

Mercury (programming language)Inductively coupled plasma mass spectrometryChromatographyGenetic algorithmChemistryEnvironmental chemistryComputer scienceBiologyMass spectrometryGeneticsProgramming languageMercury impact and mitigation studiesHeavy Metal Exposure and ToxicityChemical Analysis and Environmental Impact
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