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Individual and mixture effect of selected high-hazard pharmaceuticals on aquatic primary producers

dc.creatorMontiel Mora, José Rolando
dc.creatorLizano Fallas, Verónica
dc.creatorMéndez Rivera, Michael
dc.creatorMarín González, Alexandra
dc.creatorCambronero Heinrichs, Juan Carlos
dc.creatorRodríguez Rodríguez, Carlos E.
dc.date.accessioned2025-10-20T21:07:00Z
dc.date.issued2025-04-27
dc.description.abstractThe extensive use of pharmaceuticals has led to their occurrence in surface waters due to insufficient treatment processes for their removal. Their environmental impact remains largely unexplored for certain trophic levels, particularly plants and algae. Pharmaceuticals often occur in mixtures with other pollutants, highlighting the need for comprehensive toxicological ssessments that evaluate their combined interactions. This study evaluated the acute toxicity of four high-hazard pharmaceuticals —diphenhydramine, fluoxetine, ketoprofen, and trimethoprim— and their binary mixtures, on the green microalgae Raphidocelis subcapitata and the aquatic macrophyte Lemna gibba. For individual compounds, R. subcapitata growth rate was inhibited in all cases, with fluoxetine, ketoprofen and diphenhydramine exhibiting moderate toxicity (EC 50 = 0.34, 0.14, and 4.88 mg/L, respectively), while trimethoprim showed low toxicity (EC 50 = 332.35 mg/L). Similar trends were observed in L. gibba, except for diphenhydramine, which also showed low toxicity (EC 50 = 26.57 mg/L). Binary mixtures demonstrated a synergistic interaction towards the microalgae in the presence of ketoprofen, except ketoprofen-trimethoprim combination (antagonism, p < 0.0001). In contrast, most interactions in L. gibba exhibited antagonism, except ketoprofen-fluoxetine (synergism, p = 0.0042). Differences were observed between the two model organisms for individual compounds and mixtures. No correlation was found between L. gibba experimental data and QSAR predictions derived from R. subcapitata. Our results highlight the need for: i. further studies including mixtures of relevant pharmaceuticals; ii. caution in the use of predictive models or extrapolation between taxa; and iii. the inclusion of fluoxetine and ketoprofen as priority compounds in future risk assessments.
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro en Investigación en Contaminación Ambiental (CICA)
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Instituto de Investigaciones en Salud (INISA)
dc.description.sponsorshipUniversidad de Costa Rica/[802-B8510]/UCR/Costa Rica
dc.description.sponsorshipUniversidad de Costa Rica/[802-C1034]/UCR/Costa Rica
dc.description.sponsorshipUniversidad de Costa Rica/[802-B7A09]/UCR/Costa Rica
dc.description.sponsorshipMinisterio de Ciencia, Innovación, Tecnología, y Telecomunicaciones/[FI-197B-17]/MICITT/Costa Rica
dc.identifier.codproyecto802-B8510
dc.identifier.codproyecto802-C1034
dc.identifier.codproyecto802-B7A09
dc.identifier.doihttps://doi.org/10.1007/s10646-025-02885-w
dc.identifier.issn1573-3017
dc.identifier.issn0963-9292
dc.identifier.urihttps://hdl.handle.net/10669/103006
dc.language.isoeng
dc.rightsacceso embargado
dc.sourceEcotoxicology, 34, 935-947
dc.subjectpharmaceuticals
dc.subjectphytotoxicity
dc.subjectRaphidocelis subcapitata
dc.subjectLemna gibba
dc.subjectbinary mixture
dc.titleIndividual and mixture effect of selected high-hazard pharmaceuticals on aquatic primary producers
dc.typeartículo original

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