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Record W2943073511 · doi:10.19080/ctbeb.2019.18.555989

Consumer Products using Triclosan as Antimicrobial Agent in the Tropical Environment: Safe or Unsafe?

2019· article· en· W2943073511 on OpenAlexaboutno aff
Maiwada As

Bibliographic record

VenueCurrent Trends in Biomedical Engineering & Biosciences · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
Fundersnot available
KeywordsTriclosanEnvironmental healthEnvironmental sciencePopulationHuman healthBiomonitoringHealth riskIncinerationToxicologyAquatic environmentMedicineWaste managementEnvironmental chemistryBiologyEcologyChemistryEngineering

Abstract

fetched live from OpenAlex

The tropical environments of the world receive the highest solar radiation throughout the year with an average annual temperature of not less than 18°C . The use of triclosan as an antimicrobial agent in consumer products such as toothpastes, mouthwash, soaps, under arm deodorants, liquid dishwashing soap and household equipment like textiles materials, toys and plastic kitchenware in this environment exponentially increased over the last few decades and its ability to form low chlorinated dioxins (polychlorinated dibenzodioxins and polychlorinated dibenzofurans) on intense solar radiation and incineration has posed a great risk potential to human health and the aquatic environments. This article aimed to create awareness to the general public on the potentially associated risks of using Triclosan containing materials and its possible implications on human health and the aquatic environments. Humans and aquatic animals get in contact with triclosan through oral, dermal, inhalation and accidental ocular exposures. In many temperate developed countries like US, UK, Canada and Australia, risk assessments were conducted on triclosan and its associated risks to Human health and aquatic environment, despites its traces in human body fluids and aquatic animal tissues, it is concluded that triclosan entering the environment in a way that poses no threat to humanity and aquatic lives. This conclusion came up with lots of uncertainties and conservatism especially due to a lack of adequate data to fully characterize the exposure to triclosan for the representation of the general population, dose estimation and conversion of spot urine samples for all age groups, adequacy of the margin of exposure (MOEs) and spatial differences between places. Moreover, in-depth research on triclosan and its potentialities to affect human health and the aquatic environment is strongly recommended especially in the developing tropical countries in order to create awareness to the general public.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.252
Teacher spread0.232 · 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 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
Published2019
Admission routes1
Has abstractyes

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