Preparation of Drug Eluting Natural Composite Scaffold Using Response Surface Methodology and Artificial Neural Network Approach

AI-Driven Optimization of PCL/PEG Electrospun Scaffolds for Enhanced In Vivo Wound Healing

Here, an artificial intelligence (AI)-based approach was employed to optimize the production of electrospun scaffolds for in vivo wound healing applications. By combining polycaprolactone (PCL) and poly(ethylene glycol) (PEG) in various concentration ratios, dissolved in chloroform (CHCl3) and dimethylformamide (DMF), 125 different polymer combinations were created. From these polymer combinations, electrospun nanofiber meshes were produced and characterized structurally and mechanically via microscopic techniques, including chemical composition and fiber diameter determination. Subsequently, these data were used to train a neural network, creating an AI model to predict the optimal scaffold production solution. Guided by the predictions and experimental outcomes of the AI model, the most promising scaffold for further in vitro analyses was identified. Moreover, we enriched this selected polymer combination by incorporating antibiotics, aiming to develop electrospun nanofiber scaffolds tailored for in vivo wound healing applications. Our study underscores three noteworthy conclusions: (i) the application of AI is pivotal in the fields of material and biomedical sciences, (ii) our methodology provides an effective blueprint for the initial screening of biomedical materials, and (iii) electrospun PCL/PEG antibiotic-bearing scaffolds exhibit outstanding results in promoting neoangiogenesis and facilitating in vivo wound treatment.

Design, development and characterisation of an optimised scaffold to enhance cell proliferation for tissue repair

Scaffolds are implanted to spur the regeneration of damaged tissues. The inappropriate construction of scaffolds laden with cells is not efficient. The optimisation of the scaffolds' constituents is essential for tissue repair. In this study, a scaffold embedded with Raloxifene drug was optimised via Response Surface Methodology (RSM), targeting controlled cell proliferation. The independent variables for RSM (fibronectin, collagen I, glutaraldehyde, and Raloxifene) were screened in Swiss target prediction software (probability ≥99%) to optimise dependent variables (porosity, cell viability, degradation, and swelling) by ANOVA and characterised with FTIR, SEM and contact angle measurement. The scaffold was tested for antimicrobial property, and proliferation and attachment of mouse mesenchymal stem cells. The ANOVA analysis with p value ≤ 0.0001 suggested the optimal concentration of biomaterials and drugs. The optimised scaffold displayed 80% porosity with pore size 33 ± 3 µm. We also observed significant cell attachment and proliferation (p value ≤ 0.05) in optimised scaffold. The scaffold may be further evaluated for its potential for tissue repair.

[Progress in the application of silk fibroin in tissue engineered drug delivery system]

Objective

The properties and characteristics of different types of silk fibroin (SF) drug-loaded sustained-release carriers and their effects on the drug release behavior were reviewed, and the existing problems and development prospects of SF drug-loaded sustained-release carriers in tissue engineering drug delivery system were discussed.

Methods

The literatures about drug-loaded SF sustained-release carriers in recent years were extensively consulted, and the types of sustained-release carriers, characteristics of drug release, range of applications, advantages and disadvantages, and solutions were summarized and analyzed.

Results

At present, the SF drug-loaded sustained-release carriers are mainly divided into SF microparticles, SF scaffolds, SF membranes, SF hydrogels, SF nanofibers, SF sponges, and so on. These types of SF drug-loaded sustained-release carriers have their own advantages and problems, of which the most prominent problem is the burst release of drugs at the initial stage. While, the initial burst release of drugs can be effectively solved by improving the preparation process and adjusting the material ratio. Different types of drug-loaded sustained-release carriers can be prepared by combining different materials to achieve different application scopes and drug release behaviors under different conditions.

Conclusion

SF is a good drug-loaded carrier for tissue engineering, the burst release of drugs at the initial stage can be solved by improving the preparation process and changing the material structure; through the combination of the advantages of various types of SF drug-loaded sustained-release carriers, it is expected to prepare SF drug-loaded sustained-release carriers that meet different clinical needs.

Macroporous chitosan/methoxypoly(ethylene glycol) based cryosponges with unique morphology for tissue engineering applications

Three-dimensional porous scaffolds are widely employed in tissue engineering and regenerative medicine for their ability to carry bioactives and cells; and for their platform properties to allow for bridging-the-gap within an injured tissue. This study describes the effect of various methoxypolyethylene glycol (mPEG) derivatives (mPEG (-OCH₃ functionality), mPEG-aldehyde (mPEG-CHO) and mPEG-acetic acid (mPEG-COOH)) on the morphology and physical properties of chemically crosslinked, semi-interpenetrating polymer network (IPN), chitosan (CHT)/mPEG blend cryosponges. Physicochemical and molecular characterization revealed that the –CHO and –COOH functional groups in mPEG derivatives interacted with the –NH₂ functionality of the chitosan chain. The distinguishing feature of the cryosponges was their unique morphological features such as fringe thread-, pebble-, curved quartz crystal-, crystal flower-; and canyon-like structures. The morphological data was well corroborated by the image processing data and physisorption curves corresponding to Type II isotherm with open hysteresis loops. Functionalization of mPEG had no evident influence on the macro-mechanical properties of the cryosponges but increased the matrix strength as determined by the rheomechanical analyses. The cryosponges were able to deliver bioactives (dexamethasone and curcumin) over 10 days, showed varied matrix degradation profiles, and supported neuronal cells on the matrix surface. In addition, in silico simulations confirmed the compatibility and molecular stability of the CHT/mPEG blend compositions. In conclusion, the study confirmed that significant morphological variations may be induced by minimal functionalization and crosslinking of biomaterials.

Mass-Production and Characterizations of Polyvinyl Alcohol/Sodium Alginate/Graphene Porous Nanofiber Membranes Using Needleless Dynamic Linear Electrospinning

The aim of this study was to investigate the feasibility of large-scale preparation of porous polyvinyl alcohol/sodium alginate/graphene (Gr) (Gr-AP) nanofiber membranes using a copper wire needleless dynamic linear electrode electrospinning machine. Furthermore, the effects of Gr concentrations (0, 0.0375, 0.075, 0.25, 0.5, and 0.75 wt.%) on the morphology, electrical, hydrophilicity and thermal properties were evaluated. Results indicate that the dynamic linear electrospun Gr-AP membranes have a high yield of 1.25 g/h and are composed of porous finer nanofibers with a diameter of 141 ± 31 nm. Gr improved the morphology, homogeneity, hydrophobicity and thermal stability of Gr-AP nanofiber membranes. The critical conductive threshold is 0.075 wt.% for Gr, which provides the nanofiber membranes with an even distribution of diameter, an optimal conductivity, good hydrophilicity, appropriate specific surface area and optimal thermal stability. Therefore, needleless dynamic linear electrospinning is beneficial to produce high quality Gr-AP porous nanofiber membranes, and the optimal parameters can be used in artificial nerve conduits and serve as a valuable reference for mass production of nanofiber membranes.