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Record W2070189353 · doi:10.1080/02652030310001615195

Chloronaphthalenes as food-chain contaminants: a review

2003· review· en· W2070189353 on OpenAlexaboutno aff
Jerzy Falandysz

Bibliographic record

VenueFood Additives & Contaminants · 2003
Typereview
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsCongenerFood chainBiotaBiomagnificationEnvironmental chemistryContaminationEnvironmental scienceBiomass (ecology)ChemistryBioaccumulationEcologyBiology

Abstract

fetched live from OpenAlex

Chloronaphthalenes are dioxin-like environmental and food contaminants that for many years have undergone diffusion from dispersed emission sources of various types on a global scale. When released into ambient air like many other semivolatile organohalogen compounds, chloronaphthalenes undergo various processes and pathways including sequestering by plant vegetation and biota. Recently available data indicate that sequestering rates of chloronaphthalenes by plant biomass and including edible plants as well as concentrations in food sources of plant origin can be greater than was earlier predicted. Additionally, it become known very recently that in some highly industrialized countries such as Japan, Canada and the UK, the technical chloronaphthalene mixtures are still a subject of industrial and commercial interest, even if such activities are illegal. Recent achievements in HRGC-HRMS have enabled elucidation and quantification of the chloronaphthalene congener composition in environmental matrices, food sources and technical mixtures, their persistency, environmental fate, accumulation in biota and potential for food chain biomagnification. However, at the same time this raised questions regarding human exposure to these compounds. By the late 1990s, these developments added to the relatively rapidly growing knowledge on these compounds and especially individual congener properties such as thermodynamic and physicochemical features and toxicity. Multistage fractionation has recently enabled routine congener-specific quantification of tetra- to octachloronaphthalene in various matrices. This paper reviews the literature on chloronaphthalenes as food chain contaminants and covers their origin, physicochemical properties, toxicity, environmental concentrations and persistency, and homologue group and congener composition in various matrices. The review also covers distribution in environmental compartments and subsequent fate and migration to food sources, as well as the magnitude of dietary intake and human body concentrations. Data on chloronaphthalene residues in food, however, are still scare, an exception being seafood sources and recently available data from Spain on their concentrations in staple foods and dietary intake.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.032
GPT teacher head0.298
Teacher spread0.266 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations127
Published2003
Admission routes1
Has abstractyes

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