Human Milk as a Biomonitor of Toxic Metal Exposure: Sources, Transfer Mechanisms, and Implications for Infant Health—A Review
Abstract
1. Introduction
2. Materials and Methods
3. Heavy Metals Relevant to Human Milk: Sources, Maternal Exposure, and Infant Transfer
3.1. Arsenic (As)
3.2. Cadmium (Cd)
3.3. Lead (Pb)
3.4. Chromium (Cr)
3.5. Mercury (Hg)
3.6. Aluminum (Al)
4. Heavy Metals in Human Milk (HM)
4.1. Maternal–Infant Exposure to Heavy Metals via Human Milk
4.1.1. Pathways of Heavy Metal Transfer from the Maternal Organism to the Infant—Revised
4.1.2. The Role of Human Milk as an Indicator of Environmental Exposure—Subtle Correction
4.1.3. Increased Susceptibility of Infants to Toxic Elements
4.2. Sources of Heavy Metals in Human Milk
4.2.1. Endogenous Sources
4.2.2. Environmental Sources
4.3. Occurrence of Heavy Metals in Human Milk
4.3.1. Most Commonly Analyzed Metals
4.3.2. Concentration Ranges Reported in Studies
4.3.3. Findings from Different Regions of the World
4.4. Geographical Variability of Heavy Metal Levels
4.4.1. Differences Between Industrialized and Agricultural Regions
4.4.2. Comparisons Between Urban and Rural Populations
4.4.3. Influence of Local Environmental Conditions
4.5. Factors Influencing Heavy Metal Concentrations in Human Milk and Their Changes During Lactation
4.5.1. Dietary Factors
4.5.2. Lifestyle-Related Factors
4.5.3. Biological Factors
4.5.4. Other Sources of Exposure
4.5.5. Changes in Element Concentrations During Lactation
4.6. Analytical Methods Used to Determine Heavy Metals in Human Milk
4.6.1. Methods Used in Laboratory Analyses (ICP-MS, AAS, GFAAS, CV-AAS)
4.6.2. Importance of Methods for the Determination of Trace Elements at Low Concentrations
5. Public Health Implications
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Region/Country | Metal(s) Analyzed | Key Findings and Exposure Implications | Study Context | Analytical Method | Reference |
|---|---|---|---|---|---|
| Nigeria | Pb, Cd, Zn, Fe, As, Hg | Elevated levels of toxic and trace metals indicating increased environmental exposure | Local population study | AAS/ICP-based methods | Olujimi et al., 2023 [142] |
| Nigeria | Pb, Cd, Cr, Cu, Zn, Fe, As, Hg | Distinct exposure profiles associated with industrial and agricultural environments | Postpartum mothers | ICP-MS | Ekeanyanwu et al., 2020 [155] |
| Iran | Multiple metals | Infant exposure influenced by combined environmental and physiological factors | Exposure modeling study | Modeling approach | Samiee et al., 2019 [148] |
| Spain (Murcia) | Pb, As, Hg, Ni, Zn | Human milk reflects maternal and infant exposure burden | Environmental exposure | ICP-MS | Motas et al., 2021 [146] |
| Brazil | Multiple metals | Correlation between milk, soil, and water contamination | Environmental study | AAS/ICP | Cardoso et al., 2014 [143] |
| Croatia | Pb, Cd, Hg, others | Human milk serves as a biomonitoring matrix of maternal and infant exposure | Population-based study | ICP-MS | Grzunov Letinić et al., 2016 [149] |
| Turkey | Multiple metals | Regional biomonitoring confirms the presence of multiple exposure pathways | Local population study | ICP-MS | Kılıç Altun et al., 2018 [157] |
| Cyprus | Pb, Cd, others | Environmental contamination contributes to detectable metal burden in human milk | Regional study | AAS | Kunter et al., 2016 [156] |
| Poland | Essential and toxic elements | Human milk as an indicator of infant exposure burden | Biomonitoring study | ICP-MS | Bzikowska-Jura et al., 2024 [158] |
| Global | Multiple metals | Integrated evidence of multifactorial infant exposure pathways | Review study | - | Onyena et al., 2024 [154] |
| Global | Multiple contaminants | Recent evidence highlighting widespread environmental contamination patterns | Review study | - | Serreau et al., 2024 [153] |
| Global | Multiple contaminants | Broad evidence supporting the biomonitoring role of human milk | Review study | - | Bernasconi et al., 2022 [152] |
| Nigeria | Multiple metals | Maternal health status may influence contaminant burden in human milk | Clinical study | ICP-MS/AAS | Philip-Slaboh et al., 2023 [151] |
| Iran | Trace elements | Lifestyle-related factors contribute to variability in metal concentrations | Lifestyle-related study | ICP-MS | Mansouri et al., 2023 [150] |
| Brazil | Essential and toxic elements | Processing and sample characteristics may influence contaminant assessment | Preclinical study | ICP-MS | Oliveira et al., 2020 [147] |
| Region/Country | Exposure Context | Metal(s) Analyzed | Reported Concentration Range (µg/L) | Key Observation | References |
|---|---|---|---|---|---|
| Global (reported background levels) | General population | Pb, Hg, Cd | Pb: 2–5; Hg: 1.4–1.7; Cd: <1 | Typical background exposure levels in non-contaminated populations | [123,128,132,143,156,167] |
| Turkey (Ankara) | Urban/mixed exposure | Pb | Median: 20.6; max: 1515 | Extremely high outlier values; majority of samples exceeded safety threshold | [125,175] |
| India | Environmental contamination | As | up to 149 | Very high arsenic levels indicating severe environmental exposure | [131,132,152,173,175,177] |
| Iran (national/urban) | Urban/traffic-related | Pb | Mean: 41.9; up to 53.6 | Elevated Pb linked to urban pollution and traffic emissions | [148,173] |
| China (Nanjing) | Industrial | Pb | Mean: 40.6 | High levels associated with industrial activity | [143,170,175] |
| Ghana (mining areas) | Mining | Hg, As, Pb | Hg: 7.61; As: 26.7; Pb: 13.83 | Strong influence of mining activity on exposure levels | [154,167] |
| Nigeria | Urban/environmental | Pb, Cd | Pb: ~38; Cd: ~29 | High levels in urban populations | [154,155] |
| Spain (Murcia—industrial) | Industrial/mining | Pb, Zn, As, Hg, Ni | Pb: 5.2; Zn: 1402.6 | Elevated multi-metal exposure in industrial regions | [120,146,153,154] |
| Spain (Murcia—agricultural) | Agricultural | Mn, Cr, Fe | Not numerically specified | Dominance of agriculturally derived elements | [120,146,153,154] |
| Brazil (Amazon) | High fish consumption/mining | Hg | Mean: 59.41; max: 104.1 | Very high Hg due to dietary intake (fish) | [130,131] |
| Brazil (urban areas) | Urban | Pb | Low (not specified) | Lower Pb levels in less contaminated areas | [143] |
| Scandinavia (Norway, Sweden) | Low pollution | Hg, Cd | Hg: ~0.2 µg/kg; Cd: ~0.06 µg/kg | Lowest reported levels due to strict environmental regulations | [166,184,187] |
| Jordan | Drinking water contamination | As | Mean: 31.7 | Direct link with contaminated groundwater | [180] |
| Bangladesh/India (rural) | Groundwater exposure | As | Median: 1.8–17 | Chronic exposure via contaminated water | [127,131,167] |
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Katryńska, D.; Bzikowska-Jura, A.; Goc, Z.; Kogut, Ł. Human Milk as a Biomonitor of Toxic Metal Exposure: Sources, Transfer Mechanisms, and Implications for Infant Health—A Review. Nutrients 2026, 18, 1527. https://doi.org/10.3390/nu18101527
Katryńska D, Bzikowska-Jura A, Goc Z, Kogut Ł. Human Milk as a Biomonitor of Toxic Metal Exposure: Sources, Transfer Mechanisms, and Implications for Infant Health—A Review. Nutrients. 2026; 18(10):1527. https://doi.org/10.3390/nu18101527
Chicago/Turabian StyleKatryńska, Danuta, Agnieszka Bzikowska-Jura, Zofia Goc, and Łukasz Kogut. 2026. "Human Milk as a Biomonitor of Toxic Metal Exposure: Sources, Transfer Mechanisms, and Implications for Infant Health—A Review" Nutrients 18, no. 10: 1527. https://doi.org/10.3390/nu18101527
APA StyleKatryńska, D., Bzikowska-Jura, A., Goc, Z., & Kogut, Ł. (2026). Human Milk as a Biomonitor of Toxic Metal Exposure: Sources, Transfer Mechanisms, and Implications for Infant Health—A Review. Nutrients, 18(10), 1527. https://doi.org/10.3390/nu18101527

