Literature DB >> 27239720

Triclosan: A review on systematic risk assessment and control from the perspective of substance flow analysis.

Chu-Long Huang1, Olusegun K Abass2, Chang-Ping Yu3.   

Abstract

Triclosan (TCS) is a broad spectrum antibacterial agent mainly used in Pharmaceutical and Personal Care Products. Its increasing use over recent decades have raised its concentration in the environment, with commonly detectable levels found along the food web-from aquatic organisms to humans in the ecosystem. To date, there is shortage of information on how to investigate TCS's systematic risk on exposed organisms including humans, due to the paucity of systematic information on TCS flows in the anthroposphere. Therefore, a more holistic approach to mass flow balancing is required, such that the systematic risk of TCS in all environmental matrices are evaluated. From the perspective of Substance Flow Analysis (SFA), this review critically summarizes the current state of knowledge on TCS production, consumption, discharge, occurrence in built and natural environments, its exposure and metabolism in humans, and also the negative effects of TCS on biota and humans. Recent risk concerns have mainly focused on TCS removal efficiencies and metabolism, but less attention is given to the effect of mass flows from source to fate during risk exposure. However, available data for TCS SFA is limited but SFA can derive logical systematic information from limited data currently available for systematic risk assessment and reduction, based on mass flow analysis. In other words, SFA tool can be used to develop a comprehensive flow chart and indicator system for the risk assessment and reduction of TCS flows in the anthroposphere, thereby bridging knowledge gaps to streamline uncertainties related to policy-making on exposure pathways within TCS flow-lines. In the final analysis, specifics on systematic TCS risk assessment via SFA, and areas of improvement on human adaptation to risks posed by emerging contaminants are identified and directions for future research are suggested.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Comprehensive flow chart; Substance flow analysis; Systematic data; Systematic risk assessment; Triclosan

Mesh:

Substances:

Year:  2016        PMID: 27239720     DOI: 10.1016/j.scitotenv.2016.05.002

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  8 in total

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Authors:  Rafael D Kramer; Tais C Filippe; Marcelo R Prado; Júlio César R de Azevedo
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2.  Applying analytical decision methods for determination of the best treatment alternative to remove emerging micropollutants from drinking water and wastewater: triclosan example.

Authors:  Emrah Ozturk
Journal:  Environ Sci Pollut Res Int       Date:  2018-08-31       Impact factor: 4.223

3.  Effect of triclosan on the pathogenesis of allergic diseases among children.

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Review 4.  Overview of air pollution and endocrine disorders.

Authors:  Philippa D Darbre
Journal:  Int J Gen Med       Date:  2018-05-23

5.  Monitoring pharmaceuticals and personal care products in water and fish from the Gulf of Urabá, Colombia.

Authors:  Diana Pemberthy M; Yisela Padilla; Andrés Echeverri; Gustavo A Peñuela
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6.  Molecular Characterization of Reduced Susceptibility to Biocides in Clinical Isolates of Acinetobacter baumannii.

Authors:  Fei Lin; Ying Xu; Yaowen Chang; Chao Liu; Xu Jia; Baodong Ling
Journal:  Front Microbiol       Date:  2017-09-26       Impact factor: 5.640

7.  Environmental levels of triclosan and male fertility.

Authors:  Joanna Jurewicz; Michał Radwan; Bartosz Wielgomas; Paweł Kałużny; Anna Klimowska; Paweł Radwan; Wojciech Hanke
Journal:  Environ Sci Pollut Res Int       Date:  2017-12-07       Impact factor: 4.223

8.  Biomarkers for the toxicity of sublethal concentrations of triclosan to the early life stages of carps.

Authors:  Owias Iqbal Dar; Sunil Sharma; Kirpal Singh; Anket Sharma; Renu Bhardwaj; Arvinder Kaur
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

  8 in total

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