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dc.contributor.authorHuerta Sainz, Sergio de la 
dc.contributor.authorDiez Cabanes, Valentin
dc.contributor.authorGutiérrez Vega, Alberto 
dc.contributor.authorMartel Martín, Sonia 
dc.contributor.authorFernández Pampín, Natalia 
dc.contributor.authorRumbo Lorenzo, Carlos 
dc.contributor.authorMarcos Villa, Pedro A. 
dc.contributor.authorBol Arreba, Alfredo 
dc.contributor.authorMarson, Domenico
dc.contributor.authorLaurini, Erik
dc.contributor.authorAparicio Martínez, Santiago 
dc.date.accessioned2026-09-02T07:37:25Z
dc.date.available2026-09-02T07:37:25Z
dc.date.issued2026-09
dc.identifier.issn2468-1113
dc.identifier.urihttps://hdl.handle.net/10259/11987
dc.description.abstractEssential-oil nanocapsules are bio-based antimicrobial formulations central to agri-food sustainability, yet their human and environmental hazard as formulated products cannot be assessed by conventional molecular QSAR, which ignores controlled release kinetics, nano-specific bio-interactions, and shell-material contributions. We apply a systems toxicology approach — integrating molecular QSAR (Tier 1), Korsmeyer–Peppas release kinetics (Tier 2), and a nano-specific bioavailability correction layer (Tier 3) — to produce the first quantitative integrated hazard prediction for two clove-oil advanced-material (AdMa) nanocapsule formulations: AdMa EO@PEC-GEL (pectin–gelatin shell, CaCl₂ crosslinker) and AdMa EO@Chi (chitosan shell, formaldehyde crosslinker).Eugenol (∼90 wt% core) is the principal toxicophore. Release parameters were scaled from published eugenol–chitosan kinetic data to the 1 μm target particle size; nano-correction factors were calibrated from published surface-charge and uptake relationships. The integrated model predicts AdMa EO@PEC-GEL to be 9.1× safer than free eugenol (IC₅₀ ∼3.5 mM vs. 0.38 mM), driven by anionic surface charge and 80% encapsulation efficiency. AdMa EO@Chi retains toxicity close to the free molecule (IC₅₀ ∼0.91 mM; 2.4×) because cationic surface charge offsets the encapsulation benefit. The formaldehyde crosslinker introduces independent sensitisation, genotoxicity, and IARC Group 1 carcinogenicity flags — quantified via the concentration-addition mixture model — entirely absent from PEC-GEL.Sensitivity analysis identifies zeta potential as the dominant model uncertainty driver. Tier 2 is retrospectively validated against published release kinetics (R2 = 0.997). The Korsmeyer–Peppas tier applies directly to environmental fate scenarios — pH-dependent shell dissolution in soil and aquatic compartments — providing a unified architecture for human–environment integrated hazard assessment aligned with planetary health priorities. An interactive, browser-based digital twin is provided as Supplementary Information: it recomputes all integrated predictions in real time as the user adjusts the model inputs (zeta potential, particle size, encapsulation efficiency, eugenol fraction, release time and pH/enzyme condition), enabling transparent scenario analysis and progressive refinement as experimental data become available, in line with the iterative Safe-and-Sustainable-by-Design (SSbD) workflow.en
dc.description.sponsorshipThis work was funded by SUNRISE project (HORIZON-EU, HORIZON-CL4-2023-RESILIENCE-01- SUNRISE-GA 101137324).en
dc.format.mimetypeapplication/pdf
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofComputational Toxicology. 2026, V. 39, art. 100440
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEssential oil nanocapsulesen
dc.subjectSystems toxicologyen
dc.subjectIntegrated hazard predictionen
dc.subjectKorsmeyer Peppas release kineticsen
dc.subjectSafe and sustainable by designen
dc.subjectHuman and environmental healthen
dc.subject.otherEsencias y aceites esencialeses
dc.subject.otherEssences and essential oilsen
dc.subject.otherQuímicaes
dc.subject.otherChemistryen
dc.titleA three-tier in silico toxicology framework for formulated essential-oil nanocapsules: integrating molecular hazard, release kinetics and nano-bioavailability for safe-and-sustainable-by-design assessmenten
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.1016/j.comtox.2026.100440en
dc.identifier.doi10.1016/J.COMTOX.2026.100440
dc.journal.titleComputational Toxicologyen
dc.volume.number39es
dc.page.initial100440es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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