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Predicting antifungal concentrations that select for resistance: an enhanced approach to establish environmental thresholds.

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Title: Predicting antifungal concentrations that select for resistance: an enhanced approach to establish environmental thresholds.
Authors: Stanton IC; UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom. Electronic address: isosta@ceh.ac.uk., Brass DP; UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom., Tipper HJ; UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom., Payne RA; UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom., Murray AK; European Centre for Environment and Human Health, University of Exeter, Penryn, Cornwall TR10 9FE, United Kingdom., Shelton JMG; UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom., Pym AM; College for Life and Environmental Sciences, University of Exeter, Penryn, Cornwall TR10 9FE, United Kingdom., Hart A; Chief Scientist's Group, Environment Agency, Bristol BS1 5AH, United Kingdom., Read DS; UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom., Gaze WH; European Centre for Environment and Human Health, University of Exeter, Penryn, Cornwall TR10 9FE, United Kingdom., Singer AC; UK Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom.
Source: Environment international [Environ Int] 2026 Mar; Vol. 209, pp. 110178. Date of Electronic Publication: 2026 Mar 03.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6750 (Electronic) Linking ISSN: 01604120 NLM ISO Abbreviation: Environ Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-6750
DOI:10.1016/j.envint.2026.110178