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Record W3190818822 · doi:10.1016/j.emcon.2021.07.002

Occurrence of aryl and alkyl-aryl phosphates in Canadian house dust

2021· article· en· W3190818822 on OpenAlexafffundabout
Cariton Kubwabo, Xinghua Fan, Guru Prasad Katuri, Arezoo Habibagahi, Pat E. Rasmussen

Bibliographic record

VenueEmerging contaminants · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsHealth Canada
FundersHealth Canada
KeywordsPhosphateArylChemistryTriphenyl phosphateAlkylResorcinolFire retardantEnvironmental chemistryTrisNuclear chemistryOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

This study investigated the occurrence of 19 aryl phosphates and mixed alkyl-aryl phosphates in dust samples (n = 144) collected under the Canadian House Dust Study (CHDS). The predominant target analytes, detected in 100 % of the samples, were isodecyl diphenyl phosphate (IDDPP), cresyl diphenyl phosphate (CDPP), and isopropylated triaryl phosphates (ITPs), with median concentrations of 1225 (248–17850) ng/g, 91 (14–57700) ng/g, and 805 (203–152000) ng/g, respectively. ITPs included isopropylphenyl diphenyl phosphate (IPPDPP), bis(isopropylphenyl) phenyl phosphate (BIPPPP), and tris(isopropylphenyl) phosphate (TIPPP). Strong correlations were found among IPPDPP, BIPPPP, and TIPPP, suggesting that there might be various consumer and building products containing mixtures of these substances. Bisphenol A bis(diphenyl phosphate) (BPA-DP) and resorcinol bis(diphenyl phosphate) (RBDP) were detected in 69 % and 78 % of samples, with relatively low median concentrations of 30 (max: 818) ng/g and 14 (max: 307) ng/g, respectively. Since the usage of OPEs as flame retardants has increased over the past decade, the current levels of OPEs in Canadian house dust could be higher than those reported in this study, where the samples were collected in 2007–2010. Further monitoring of OPEs in various environmental and biological matrices is recommended.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.999

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)0.0020.000

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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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

Citations28
Published2021
Admission routes3
Has abstractyes

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