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Research Article

Prioritizing pharmaceutically active compounds (PhACs) based on occurrence-persistency-mobility-toxicity (OPMT) criteria: an application to the Brazilian scenario

ORCID Icon, ORCID Icon & ORCID Icon
Pages 1023-1039 | Received 18 Sep 2023, Accepted 19 Nov 2023, Published online: 04 Dec 2023
 

ABSTRACT

A study of Quantitative Structure Activity Relationship (QSAR) was performed to assess the possible adverse effects of 25 pharmaceuticals commonly found in the Brazilian water compartments and to establish a ranking of environmental concern. The occurrence (O), the persistence (P), the mobility (M), and the toxicity (T) of these compounds in the Brazilian drinking water reservoirs were evaluated. Moreover, to verify the predicted OPMT dataset outcomes, a quality index (QI) was also developed and applied. The main results showed that: (i) after in silico predictions through VEGA QSAR, 19 from 25 pharmaceuticals consumed in Brazil were classified as persistent; (ii) moreover, after in silico predictions through OPERA QSAR, 15 among those 19 compounds considered persistent, were also classified as mobile or very mobile. On the other hand, the results of toxicity indicate that only 9 pharmaceuticals were classified with the highest toxicity level. Ultimately, the QI of 7 from 25 pharmaceuticals were categorized as ‘optimal’; 15 pharmaceuticals were categorized as ‘good’; and only 3 pharmaceuticals were categorized as ‘regular’. Therefore, based on the QI criteria used, it is possible to assume that this OPMT prediction dataset had a good reliability. Efforts to reduce emissions of OPMT-pharmaceuticals in Brazilian drinking water reservoirs are encouraged.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

The data presented in this study are available within the article.

Supplementary material

Supplemental data for this article can be accessed at: https://doi.org/10.1080/1062936X.2023.2287516.

Additional information

Funding

Correia AT was supported by national funds through FCT - Foundation for Science and Technology within the scope of [UIDB/04423/2020 and UIDP/04423/2020].

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