2017
DOI: 10.1016/j.ijpharm.2017.09.001
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Modeling drug release through stimuli responsive polymer hydrogels

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Cited by 17 publications
(2 citation statements)
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“…Techniques such as rheology, scanning electron microscopy (SEM), and atomic force microscopy (AFM) facilitate the understanding of mechanical behavior, morphology, and interfacial interactions of the hydrogels at different scales (Rao et al, 2017). Computational modeling, on the other hand, allows for the prediction and simulation of drug release kinetics, swelling behavior, and mechanical properties, aiding in efficient design and optimization (Pareek et al, 2017). Looking ahead, future directions in the field of Tragacanth gum-based hydrogels encompass various aspects.…”
Section: Future Perspectives and Challengesmentioning
confidence: 99%
“…Techniques such as rheology, scanning electron microscopy (SEM), and atomic force microscopy (AFM) facilitate the understanding of mechanical behavior, morphology, and interfacial interactions of the hydrogels at different scales (Rao et al, 2017). Computational modeling, on the other hand, allows for the prediction and simulation of drug release kinetics, swelling behavior, and mechanical properties, aiding in efficient design and optimization (Pareek et al, 2017). Looking ahead, future directions in the field of Tragacanth gum-based hydrogels encompass various aspects.…”
Section: Future Perspectives and Challengesmentioning
confidence: 99%
“…Deacetylated gellan gum can immediately form a threedimensional gel network structure when it encounters monovalent or divalent cations (K þ , Na þ , Ca 2þ ), thus can also be used in situ hydrogel anti-tumor drug delivery system (Rupenthal et al, 2011;Janga et al, 2018;Yang et al, 2018). Due to the good biocompatibility, hydrophilicity and low toxicity related to commonly biogenic nature of drug carrier materials, this type of hydrogel deserves indepth studies and exploitment (Pareek et al, 2017;Shang et al, 2018).…”
Section: Ionic Strength Sensitive In Situ Hydrogelmentioning
confidence: 99%