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Record W4362581614 · doi:10.1021/cen-10111-polcon1

Fast-food packaging can emit volatile PFAS

2023· article· en· W4362581614 on OpenAlexaboutno aff
Britt E. Erickson

Bibliographic record

VenueC&EN Global Enterprise · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsnot available
Fundersnot available
KeywordsMethacrylateChemistryFood packagingEnvironmental chemistryPolymerFood scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Compostable fast-food containers, designed to be more environmentally friendly than single-use plastic ones, can release toxic per- and polyfluoroalkyl substances (PFAS) into the air, according to an analysis of samples from retailers in Toronto ( Environ. Sci. Technol. Lett. 2023, DOI: 10.1021/acs.estlett.2c00926 ). The results suggest that polymers with fluorinated side chains, which are used to make paper-based food packaging grease resistant, break down over time into volatile fluorotelomer alcohols and fluorotelomer methacrylates. Researchers screened 42 samples—including molded fiber bowls, burger wrappers, and popcorn bags—for total fluorine content. The molded fiber bowls contained the highest levels. Analysis of eight of the samples revealed up to 14 PFAS in each. The most abundant PFAS in all but one of the eight samples were 6:2 fluorotelomer alcohol and 6:2 fluorotelomer methacrylate. Surprisingly, total PFAS levels dropped by up to 85% after the products were stored for 2 years, says Marta Venier ,

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.266
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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