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Design and fabrication of functionally graded 3D polymeric scaffolds for simultaneous cell support and localized MicroRNA delivery

Explore functionally graded TPMS scaffolds. Review source evidence, methods and limitations for M.Tech research.

Explore functionally graded TPMS scaffolds through a published research reference related to Biomedical Devices / Tissue Engineering / Stem Cell Engineering. This M.Tech resource summarizes the available source and suggests questions to validate before choosing an implementation.

Functionally graded TPMS scaffolds: source and project details

Research overview

This resource, based on research, looks at how to design, model, and make functionally graded 3D polymer scaffolds that are good for tissue engineering and targeted gene therapy. The study presents a new method for creating heterogeneous triply periodic minimal surface (TPMS) architectures. The method is easy to use and lets you produce irregular shape variations and functionally graded structures. These complex shapes are printed with fused filament deposition (FFD) to achieve high accuracy. For localized therapy, the researchers develop a gelatin/polyethyleneimine (PEI) delivery system that attaches microRNA (miRNA) to the scaffold surface and controls its slow release. The scaffold is tested for cell attachment, proliferation, infiltration, and transfection efficiency.

The results show that the surface promotes cell growth, but how well cells infiltrate depends mainly on local porosity and the geometry. M.Tech students can use this resource for research ideas and structural guidance. It helps them model heterogeneous TPMS architectures, simulate fluid flow or mechanical behavior, and design surface‑functionalized delivery systems. Overall, it offers a framework to support project development in biomaterials and scaffold‑based drug delivery.

Reference Paper Design and fabrication of functionally graded 3D polymeric scaffolds for simultaneous cell support and localized MicroRNA delivery
Publication year (source record) 2026
Source document classification Research reference (type not independently verified)
Discovered via OpenAlex metadata
Authors (source metadata) Andisheh Talaei, Ardeshir Talaei, Zohreh Daraeinejad, Ehsan Arefian, Ehsan Seyedjafari
Publication type (source metadata) article
Journal / conference (source metadata) Biomedical Materials
DOI (from source metadata) 10.1088/1748-605x/aeb844
Metadata consistency check Publisher landing-page metadata compared with indexed record; original PDF text not independently verified.
Evidence reviewed by generator Indexed abstract/description only; original full text, author names in PDF and methods require editorial verification.
Domain Biotechnology & Biomedical Engineering
Sub-Domain Biomedical Devices / Tissue Engineering / Stem Cell Engineering
Research source View research source
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Project or research direction

This is a source-backed research starting point, not a tested, ready-made student project. Any implementation requires independent feasibility, safety and results verification.

Possible tools or components to evaluate

CAD modeling software (e.g., Rhino/Grasshopper or MATLAB for TPMS generation), Fused Filament Deposition (FFD) 3D printer, Finite Element Analysis (FEA) tools for mechanical/fluid simulation, UV-Vis spectroscopy (for release profiling)

Methods or operating principles to examine

Heterogeneous TPMS-based architectural design, FFD-based polymeric scaffold fabrication, Gelatin/polyethyleneimine (PEI) surface coating, Localized microRNA immobilization and gradual release, Evaluation of porosity-driven cell infiltration and transfection

Outputs to plan and verify

A mathematical or CAD model of functionally graded TPMS scaffolds, simulated mechanical and permeability profiles, a defined protocol for gelatin/PEI-based miRNA immobilization, and an optimized release curve model.

Further study ideas to evaluate

In silico shear stress and permeability modeling within the graded TPMS channels; multi-material co-extrusion simulation; or integration of dual-factor delivery kinetics (e.g., microRNA combined with growth factors).

Check the complete source before describing any of these as new or absent from the original work.

Suggested verification steps

  1. Read the cited paper and check which methods, parameters and results it actually reports.
  2. Define a measurable project objective and list equipment or software you can access.
  3. Validate the proposed approach independently before claiming results, working code or experimental success.

Implementation ideas above are planning suggestions, not claims that the cited researchers built or tested those exact extensions.

Explore related M.Tech project topics or browse the engineering resource library for different methods and reference papers.

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