{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T17:02:40Z","timestamp":1787763760573,"version":"build-2784847793"},"reference-count":300,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Molecules"],"abstract":"<jats:p>Emerging contaminants (ECs) comprise diverse pollutant classes that are increasingly detected in remote environments due to their persistence and long-range transport potential. In cold regions, atmospheric cold-trapping processes favour their accumulation in high-altitude and high-latitude snow and ice, which act as sensitive archives and secondary sources of contamination. While previous studies have addressed individual environmental compartments (e.g., snowpack, glacier ice, meltwater), focusing on specific contaminant classes, a systematic review integrating the occurrence, behaviour and impacts of major EC groups in polar and alpine snow and ice is still lacking. To fill this gap, this work synthesised current knowledge on the environmental fate of three key EC categories in the cryosphere: metals and metalloids (MMs), industrial chemicals and by-products (ICBs), and pharmaceuticals and personal care products (PPCPs). PRISMA guidelines were accurately followed for research, which was based on a Google Scholar search combining keywords on cryospheric matrices (snow, firn, ice cores), geographical regions (Arctic, Antarctic, Alps, high mountains), and contaminant classes. Of 350 records initially identified, 300 met the eligibility criteria (post-industrial snow, firn, or ice cores studies) after excluding studies focused on aerosol or meltwater-only, method-focused papers, pre-industrial datasets, urban-only investigations, and duplicates. Risk of bias was qualitatively assessed through manual screening, evaluating matrix eligibility, temporal consistency, analytical methods, detection limits, and duplicate data, with particular attention to inconsistencies in ECs classification. Strict operational definitions were therefore applied to ensure methodological coherence. Concentration data were harmonised into a standardised database, and findings were synthesised through a structured narrative supported by tabulated datasets organised by matrix and site. Overall, the evidence indicates widespread occurrence of ECs in the global cryosphere, with spatial variability linked to emission sources, long-range transport pathways, and snow physicochemical properties. Climate-change-driven alterations of snow dynamics, glacier retreat and permafrost thaw are expected to modify partitioning equilibria and enhance the secondary release of legacy and contemporary contaminants. However, significant limitations persist, including geographical gaps, variability in analytical sensitivity, lack of long-term monitoring for certain EC classes, and inconsistencies in contaminant classification frameworks. Despite these constraints, the synthesis highlights consistent emerging patterns and underscores the need to strengthen existing environmental protocols to mitigate potential risks to ecosystems and human health.<\/jats:p>","DOI":"10.3390\/molecules31050846","type":"journal-article","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T16:17:31Z","timestamp":1772641051000},"page":"846","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Systematic Review of Metallic, Industrial, and Pharmaceutical Emerging Contaminants in Snow and Ice: A Global Perspective from Polar and High-Mountain Regions"],"prefix":"10.3390","volume":"31","author":[{"given":"Azzurra","family":"Spagnesi","sequence":"first","affiliation":[{"name":"Department of Environmental Sciences, Informatics and Statistics, Ca\u2019 Foscari University, 30172 Venice, Italy"},{"name":"Institute of Polar Sciences\u2014National Research Council of Italy (ISP-CNR), 30172 Venice, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Gambaro","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, Informatics and Statistics, Ca\u2019 Foscari University, 30172 Venice, Italy"},{"name":"Institute of Polar Sciences\u2014National Research Council of Italy (ISP-CNR), 30172 Venice, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2639-7475","authenticated-orcid":false,"given":"Elena","family":"Barbaro","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, Informatics and Statistics, Ca\u2019 Foscari University, 30172 Venice, Italy"},{"name":"Institute of Polar Sciences\u2014National Research Council of Italy (ISP-CNR), 30172 Venice, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacopo","family":"Gabrieli","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, Informatics and Statistics, Ca\u2019 Foscari University, 30172 Venice, Italy"},{"name":"Institute of Polar Sciences\u2014National Research Council of Italy (ISP-CNR), 30172 Venice, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4177-2288","authenticated-orcid":false,"given":"Carlo","family":"Barbante","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, Informatics and Statistics, Ca\u2019 Foscari University, 30172 Venice, Italy"},{"name":"Institute of Polar Sciences\u2014National Research Council of Italy (ISP-CNR), 30172 Venice, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"116420","DOI":"10.1016\/j.ecoenv.2024.116420","article-title":"Comprehensive review of emerging contaminants: Detection technologies, environmental impact, and management strategies","volume":"278","author":"Li","year":"2024","journal-title":"Ecotoxicol. 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