Abstract
Triclosan (TCS) by itself represents a major health and environmental problem. Also concerning are its photoproducts, various dioxins, which are even more dangerous, creating a need and opportunity to develop dedicated sensors to detect their presence in water. By treating featured data through principal component analysis (PCA), the foot-print of the dangerous TCS products after irradiation can be clearly outlined. This result allow us to conclude that a TCS sensor device based on electronic tongue concept can be envisaged.
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Acknowledgments
The authors acknowledge the financial support from FEDER, through Programa Operacional Factores de Competitividade–COMPETE and Fundação para a Ciência e a Tecnologia–FCT, by the project PTDC/FIS-NAN/0909/2014 and for the Portuguese research Grant No. PEst-OE/FIS/UI0068/2011 and UID/FIS/00068/2013. Filipa Pires acknowledges the fellowship PD/BD/106036/2015 from RABBIT Doctoral Programme (Portugal).
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Magalhães-Mota, G., Pires, F., Ribeiro, P.A., Raposo, M. (2020). Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study. In: Raposo, M., Ribeiro, P., Sério, S., Staiano, A., Ciaramella, A. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2018. Lecture Notes in Computer Science(), vol 11925. Springer, Cham. https://doi.org/10.1007/978-3-030-34585-3_30
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DOI: https://doi.org/10.1007/978-3-030-34585-3_30
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