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A Brief Insight into the Toxicity Conundrum: Modeling, Measuring, Monitoring and Evaluating Ecotoxicity for Water Quality towards Environmental Sustainability

Author

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  • Paulina Vilela

    (ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ingeniería en Ciencias de la Tierra, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil 090112, Ecuador
    These authors contributed equally to this work.)

  • Gabriel Jácome

    (Facultad de Ingeniería en Ciencias Agropecuarias y Ambientales, Universidad Técnica del Norte (UTN), Av. 17 de Julio 5-21 y Gral. José María Córdova, Ibarra EC100150, Ecuador
    These authors contributed equally to this work.)

  • Wladimir Moya

    (Laboratorio de Ecología, Departamento de Ciencias Biológicas & Biodiversidad, Universidad de los Lagos, Campus Osorno, Osorno 5290000, Chile)

  • Pouya Ifaei

    (Integrated Engineering, Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si 17104, Republic of Korea)

  • Sungku Heo

    (Integrated Engineering, Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si 17104, Republic of Korea)

  • Changkyoo Yoo

    (Integrated Engineering, Department of Environmental Science and Engineering, College of Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-si 17104, Republic of Korea)

Abstract

In view of the continuous increment of industrial residues, the risk associated with chemical toxicity in the environment has piqued the interest of researchers in pursuit of an alternative methodology for mitigating the apparent toxicity of chemicals. Over the past decade, the applicability of toxicity models and the evaluation of the apparent toxicity of chemicals have been examined for achieving sustainability of the environment and improving water quality. The prediction of toxicant effects with reasonable accuracy in organisms of water bodies and other environmental compartments lies in the application of a chemical toxicity model with further risk assessment analysis. This review summarizes well-known and recent advances of modeling techniques to evaluate and monitor toxicity in the environment. Chemical toxicity models such as the individual-based concentration addition (CA), independent action (IA) and whole-mixture-based concentration addition-independent action (CAIA) are considered, as well as their environmental applications, specific case studies, and further research needs towards sustainability. The gap that needs to be overcome in toxicity studies for the environmental sustainability is noted based on the aspects of environmental chemistry and ecotoxicology, sufficient laboratory equipment, data availability and resources for relevant social parameters needed for investigation.

Suggested Citation

  • Paulina Vilela & Gabriel Jácome & Wladimir Moya & Pouya Ifaei & Sungku Heo & Changkyoo Yoo, 2023. "A Brief Insight into the Toxicity Conundrum: Modeling, Measuring, Monitoring and Evaluating Ecotoxicity for Water Quality towards Environmental Sustainability," Sustainability, MDPI, vol. 15(11), pages 1-28, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8881-:d:1160813
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    References listed on IDEAS

    as
    1. Sudin Bhattacharya & Qiang Zhang & Paul L Carmichael & Kim Boekelheide & Melvin E Andersen, 2011. "Toxicity Testing in the 21st Century: Defining New Risk Assessment Approaches Based on Perturbation of Intracellular Toxicity Pathways," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-11, June.
    2. Niels Hadrup & Camilla Taxvig & Mikael Pedersen & Christine Nellemann & Ulla Hass & Anne Marie Vinggaard, 2013. "Concentration Addition, Independent Action and Generalized Concentration Addition Models for Mixture Effect Prediction of Sex Hormone Synthesis In Vitro," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-13, August.
    3. Jácome, Gabriel & Vilela, Paulina & Yoo, ChangKyoo, 2019. "Present and future incidence of dengue fever in Ecuador nationwide and coast region scale using species distribution modeling for climate variability’s effect," Ecological Modelling, Elsevier, vol. 400(C), pages 60-72.
    Full references (including those not matched with items on IDEAS)

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