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Record W2954978932 · doi:10.1016/j.envint.2019.104952

Spatial distribution and hazard of halogenated flame retardants and polychlorinated biphenyls to common kingfisher (Alcedo atthis) from a region of South China affected by electronic waste recycling

2019· article· en· W2954978932 on OpenAlexafffund
Ying Peng, Jiangping Wu, Xiao‐Jun Luo, Xiaowei Zhang, John P. Giesy, Bixian Mai

Bibliographic record

VenueEnvironment International · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of Saskatchewan
FundersNational Key Research and Development Program of ChinaUniversity of Hong KongNanjing UniversityNatural Science Foundation of Jiangsu ProvinceWorld Health OrganizationState Administration of Foreign Experts AffairsChinese Academy of SciencesNational Natural Science Foundation of ChinaCanada Research Chairs
KeywordsPolybrominated diphenyl ethersEnvironmental chemistryToxic equivalency factorBioaccumulationEnvironmental scienceElectronic wasteWaste recyclingPersistent organic pollutantCongenerChemistryPollutantWaste management

Abstract

fetched live from OpenAlex

Numerous studies have reported bioaccumulation of halogenated flame retardants (HFRs) and polychlorinated biphenyls (PCBs) in wildlife from electronic waste (e-waste) recycling sites. However, the concentrations and hazards of HFRs and PCBs in wildlife from non–e-waste sites which were not involved in any known e-waste recycling activities in the e-waste–impacted region are still unclear. Polybrominated diphenyl ethers (PBDEs), alternative HFRs (AHFRs; including dechlorane plus, decabromodiphenyl ethane, and 1,2-bis(2,4,6-tribromophenoxy) ethane), and PCBs were quantified in common kingfishers (Alcedo atthis) from a region affected by e-waste recycling in South China, and potential adverse effects were evaluated. Concentrations of ∑PBDEs and ∑PCBs in kingfishers ranged from 2.1 × 103–1.3 × 105 ng/g lipid mass (lm) and 2.1 × 103–1.5 × 106 ng/g lm, respectively. At e-waste recycling sites, these concentrations were 100- to 1000-fold greater than those in kingfishers from non–e-waste areas, where concentrations of ∑PBDEs and ∑PCBs were 16–1.2 × 103 and 39–3.0 × 103 ng/g lm, respectively. Concentrations of ∑AHFRs in kingfishers from e-waste sites and non–e-waste sites ranged from 8.5 to 3.6 × 102 and 0.8–2.9 × 102 ng/g lm, respectively. The greatest concentrations of PCBs in kingfishers were measured from the e-waste sites. Additionally, kingfishers from four non–e-waste sites in the vicinity of e-waste sites had greater PCB concentrations compared to the other six non-e-waste sites. Concentrations of AHFRs were negatively and significantly correlated with distance from an e-waste site, which indicated that AHFRs from non–e-waste sites might be influenced by point sources. Further, a significant (r2 = 0.53, p = 0.02) positive correlation between human population density and concentrations of ∑PBDEs in kingfishers from non–e-waste sites was observed. Concentrations of either PBDEs or PCBs from e-waste sites might pose severe, adverse reproductive effects to kingfishers, while the potential for adverse effects of PBDEs and PCBs to kingfishers from most non–e-waste sites seemed minimal.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.192
Teacher spread0.188 · 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 teacher head, not a consensus.

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

Citations31
Published2019
Admission routes2
Has abstractyes

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