Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study

Gonçalo Magalhães-Mota; Filipa Pires; Paulo A. Ribeiro; Maria Raposo

doi:10.1007/978-3-030-34585-3_30

Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study

Gonçalo Magalhães-Mota, Filipa Pires, Paulo A. Ribeiro, Maria Raposo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers
Editors	Maria Raposo, Paulo Ribeiro, Susana Sério, Antonino Staiano, Angelo Ciaramella
Place of Publication	Cham
Publisher	Springer
Pages	326-332
Number of pages	7
ISBN (Electronic)	978-3-030-34585-3
ISBN (Print)	978-3-030-34584-6
DOIs	https://doi.org/10.1007/978-3-030-34585-3_30
Publication status	Published - 2020
Event	15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2018 - Caparica, Portugal Duration: 6 Sept 2018 → 8 Sept 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	11925 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2018
Country/Territory	Portugal
City	Caparica
Period	6/09/18 → 8/09/18

Keywords

Dioxins
Electronic tongue
Environmental
Impedance
Triclosan

Access to Document

10.1007/978-3-030-34585-3_30

Cite this

Magalhães-Mota, G., Pires, F., Ribeiro, P. A., & Raposo, M. (2020). Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study. In M. Raposo, P. Ribeiro, S. Sério, A. Staiano, & A. Ciaramella (Eds.), Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers (pp. 326-332). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11925 LNBI). Springer. https://doi.org/10.1007/978-3-030-34585-3_30

Magalhães-Mota, Gonçalo ; Pires, Filipa ; Ribeiro, Paulo A. et al. / Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study. Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers. editor / Maria Raposo ; Paulo Ribeiro ; Susana Sério ; Antonino Staiano ; Angelo Ciaramella. Cham : Springer, 2020. pp. 326-332 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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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Magalhães-Mota, G , Pires, F , Ribeiro, PA & Raposo, M 2020, Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study. in M Raposo, P Ribeiro, S Sério, A Staiano & A Ciaramella (eds), Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11925 LNBI, Springer, Cham, pp. 326-332, 15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2018, Caparica, Portugal, 6/09/18. https://doi.org/10.1007/978-3-030-34585-3_30

Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study. / Magalhães-Mota, Gonçalo ; Pires, Filipa ; Ribeiro, Paulo A. et al.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers. ed. / Maria Raposo; Paulo Ribeiro; Susana Sério; Antonino Staiano; Angelo Ciaramella. Cham: Springer, 2020. p. 326-332 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11925 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Magalhães-Mota G , Pires F , Ribeiro PA , Raposo M. Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study. In Raposo M, Ribeiro P, Sério S, Staiano A, Ciaramella A, editors, Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers. Cham: Springer. 2020. p. 326-332. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-34585-3_30

Detection of Triclosan Dioxins After UV Irradiation – A Preliminar Study

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Keywords

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