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Type: Artigo
Title: Towards a reliable prediction of the aquatic toxicity of dyes
Author: Umbuzeiro, Gisela de A.
Albuquerque, Anjaina F.
Vacchi, Francine, I.
Szymczyk, Malgorzata
Sui, Xinyi
Aalizadeh, Reza
von der Ohe, Peter C.
Thomaidis, Nikolaos S.
Vinueza, Nelson R.
Freeman, Harold S.
Abstract: The Max Weaver Dye Library (MWDL) from North Carolina State University is a repository of around 98,000 synthetic dyes. Historically, the uses for these dyes included the coloration of textiles, paper, packaging, cosmetic and household products. However, little is reported about their ecotoxicological properties. It is anticipated that prediction models could be used to help provide this type information. Thus, the purpose of this work was to determine whether a recently developed QSAR (quantitative structure-activity relationships) model, based on ACO-SVM techniques, would be suitable for this purpose. Results We selected a representative subset of the MWDL, composed of 15 dyes, for testing under controlled conditions. First, the molecular structure and purity of each dye was confirmed, followed by predictions of their solubility and pKa to set up the appropriate test conditions. Only ten of the 15 dyes showed acute toxicity in Daphnia, with EC50 values ranging from 0.35 to 2.95 mg L-1. These values were then used to determine the ability of the ACO-SVM model to predict the aquatic toxicity. In this regard, we observed a good prediction capacity for the 10 dyes, with 90% of deviations within one order of magnitude. The reasons for this outcome were probably the high quality of the experimental data, the consideration of solubility limitations, as well as the high purity and confirmed chemical structures of the tested dyes. We were not able to verify the ability of the model to predict the toxicity of the remaining 5 dyes, because it was not possible to determine their EC50. Conclusions We observed a good prediction capacity for the 10 of the 15 tested dyes of the MWDL, but more dyes should be tested to extend the existing training set with similar dyes, to obtain a reliable prediction model that is applicable to the full MWDL
Subject: QSAR
Country: Alemanha
Editor: SpringerOpen
Rights: Aberto
Identifier DOI: 10.1186/s12302-019-0258-1
Date Issue: 2019
Appears in Collections:FT - Artigos e Outros Documentos

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