Thermal processing reduces PFAS concentrations in blue food - A systematic review and meta-analysis.


Journal

Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476

Informations de publication

Date de publication:
01 Jul 2022
Historique:
received: 08 11 2021
revised: 27 02 2022
accepted: 27 02 2022
pubmed: 4 4 2022
medline: 28 4 2022
entrez: 3 4 2022
Statut: ppublish

Résumé

Per- and polyfluoroalkyl substances (PFAS) are ubiquitous in the environment and often ingested with food. PFAS exposure in people can have detrimental health consequences. Therefore, reducing PFAS burdens in food items is of great importance to public health. Here, we investigated whether cooking reduces PFAS concentrations in animal-derived food products by synthesizing experimental studies. Further, we examined the moderating effects of the following five variables: cooking time, liquid/animal tissue ratio, cooking temperature, carbon chain length of PFAS and the cooking category (oil-based, water-based & no-liquid cooking). In our systematic review searches, we obtained 512 effect sizes (relative differences in PFAS concentration between raw and cooked samples) from 10 relevant studies. These studies exclusively explored changes in PFAS concentrations in cooked seafood and freshwater fish. Our multilevel-meta-analysis has revealed that, on average, cooking reduced PFAS concentrations by 29%, although heterogeneity among effect sizes was very high (I

Identifiants

pubmed: 35367104
pii: S0269-7491(22)00295-0
doi: 10.1016/j.envpol.2022.119081
pii:
doi:

Substances chimiques

Alkanesulfonic Acids 0
Fluorocarbons 0
Carbon 7440-44-0

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

119081

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Catharina Vendl (C)

Evolution and Ecology Research Centre and School of Biology Earth & Environmental Sciences, University of New South Wales Sydney, Sydney, NSW, 2052, Australia. Electronic address: c.vendl@unsw.edu.au.

Patrice Pottier (P)

Evolution and Ecology Research Centre and School of Biology Earth & Environmental Sciences, University of New South Wales Sydney, Sydney, NSW, 2052, Australia.

Matthew D Taylor (MD)

Evolution and Ecology Research Centre and School of Biology Earth & Environmental Sciences, University of New South Wales Sydney, Sydney, NSW, 2052, Australia; Port Stephens Fisheries Institute, New South Wales Department of Primary Industries, Nelson Bay, Australia; Queensland Alliance for Environmental Health Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia.

Jennifer Bräunig (J)

Queensland Alliance for Environmental Health Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia.

Matthew J Gibson (MJ)

School of Computer Science and Engineering, University of New South Wales Sydney, Sydney, Australia.

Daniel Hesselson (D)

Centenary Institute and Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.

G Gregory Neely (GG)

Dr. John and Anne Chong Lab for Functional Genomics, Charles Perkins Centre, Centenary Institute, And School of Life and Environmental Sciences, University of Sydney, Australia.

Malgorzata Lagisz (M)

Evolution and Ecology Research Centre and School of Biology Earth & Environmental Sciences, University of New South Wales Sydney, Sydney, NSW, 2052, Australia.

Shinichi Nakagawa (S)

Evolution and Ecology Research Centre and School of Biology Earth & Environmental Sciences, University of New South Wales Sydney, Sydney, NSW, 2052, Australia. Electronic address: s.nakagawa@unsw.edu.au.

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Classifications MeSH