Combined experimental and DFT study of tamoxifen adsorption on PEG-modified graphene oxide for enhanced drug delivery

Breast cancer remains a leading cause of cancer-related mortality, with hormone receptor-positive (ER⁺) tumors representing ∼70 % of cases. Tamoxifen (TAM), the gold-standard endocrine therapy, suffers from poor solubility (log P ≈ 6.3), low bioavailability (<30 %), and acquired resistance. To overcome these limitations, we developed a pH-responsive TAM-loaded graphene oxide-polyethylene glycol (TAM@GO-PEG) nanocomposite through integrated experimental and computational approaches. GO-PEG synthesis yielded a stable nanocarrier with high drug-loading efficiency (DLE ≈ 80 %) and pH-dependent charge reversal (+12.6 mV at pH 5.3 vs. +2.1 mV at pH 7.4). In vitro release studies demonstrated tumor-selective kinetics, with 89.3 % cumulative release at pH 5.5 versus 61.1 % at pH 7.4 over 72 h. Density functional theory (DFT) simulations revealed that TAM binds primarily via π-π stacking and hydrogen bonding (1.8-2.2 Å), with oxygen-linked GOO-PEG configurations exhibiting stronger adsorption energy (ΔG = -1.50 eV) than carbon-linked systems (ΔG = -1.30 eV). Electronic structure analysis confirmed enhanced stability (HOMO-LUMO gap = 2.5-3.3 eV) and pH-modulated drug release. Spectroscopic (FTIR, UV-Vis) and microscopic (TEM, XRD) characterization validated nanocomposite formation, while RDG analysis highlighted dominant non-covalent interactions. This study establishes TAM@GO-PEG as a promising nanoplatform for targeted breast cancer therapy, combining high drug loading, pH-triggered release, and tunable electronic properties. The synergy between experimental optimization and DFT modeling provides a robust framework for designing next-generation nanotherapeutics.

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Publication Details

Journal
European Journal of Pharmaceutical Sciences
Published
2025-09-27
DOI
https://doi.org/10.1016/j.ejps.2025.107293
Citations
1
Primary Topic
Supramolecular Self-Assembly in Materials
Type
article
Field-Weighted Citation Impact
0.60
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article

Combined experimental and DFT study of tamoxifen adsorption on PEG-modified graphene oxide for enhanced drug delivery

Khaled Almansour, Mahboubeh Pishnamazi, Hashem O. Alsaab
1 citations
European Journal of Pharmaceutical Sciences
Supramolecular Self-Assembly in Materials
0.60
article

Combined experimental and DFT study of tamoxifen adsorption on PEG-modified graphene oxide for enhanced drug delivery

Khaled Almansour, Mahboubeh Pishnamazi, Hashem O. Alsaab
article en
1 citations

Abstract

Breast cancer remains a leading cause of cancer-related mortality, with hormone receptor-positive (ER⁺) tumors representing ∼70 % of cases. Tamoxifen (TAM), the gold-standard endocrine therapy, suffers from poor solubility (log P ≈ 6.3), low bioavailability (<30 %), and acquired resistance. To overcome these limitations, we developed a pH-responsive TAM-loaded graphene oxide-polyethylene glycol (TAM@GO-PEG) nanocomposite through integrated experimental and computational approaches. GO-PEG synthesis yielded a stable nanocarrier with high drug-loading efficiency (DLE ≈ 80 %) and pH-dependent charge reversal (+12.6 mV at pH 5.3 vs. +2.1 mV at pH 7.4). In vitro release studies demonstrated tumor-selective kinetics, with 89.3 % cumulative release at pH 5.5 versus 61.1 % at pH 7.4 over 72 h. Density functional theory (DFT) simulations revealed that TAM binds primarily via π-π stacking and hydrogen bonding (1.8-2.2 Å), with oxygen-linked GOO-PEG configurations exhibiting stronger adsorption energy (ΔG = -1.50 eV) than carbon-linked systems (ΔG = -1.30 eV). Electronic structure analysis confirmed enhanced stability (HOMO-LUMO gap = 2.5-3.3 eV) and pH-modulated drug release. Spectroscopic (FTIR, UV-Vis) and microscopic (TEM, XRD) characterization validated nanocomposite formation, while RDG analysis highlighted dominant non-covalent interactions. This study establishes TAM@GO-PEG as a promising nanoplatform for targeted breast cancer therapy, combining high drug loading, pH-triggered release, and tunable electronic properties. The synergy between experimental optimization and DFT modeling provides a robust framework for designing next-generation nanotherapeutics.

European Journal of Pharmaceutical SciencesVol. 214
Duy Tan University (VN), Taif University (SA), University of Ha'il (SA)
Openalex Percentile: Top 29%
Supramolecular Self-Assembly in Materials
0.60
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