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Bioreactors are important inevitable part of any tissue engineering (TE) strategy as they aid the construction of three-dimensional functional tissues. Since the ultimate aim of a bioreactor is to create a biological product, the engineering parameters, for example, internal and external mass transfer, fluid velocity, shear stress, electrical current distribution, and so forth, are worth to be thoroughly investigated. The effects of such engineering parameters on biological cultures have been addressed in only a few preceding studies. Furthermore, it would be highly inefficient to determine the optimal engineering parameters by trial and error method. A solution is provided by emerging modeling and computational tools and by analyzing oxygen, carbon dioxide, and nutrient and metabolism waste material transports, which can simulate and predict the experimental results. Discovering the optimal engineering parameters is crucial not only to reduce the cost and time of experiments, but also to enhance efficacy and functionality of the tissue construct. This review intends to provide an inclusive package of the engineering parameters together with their calculation procedure in addition to the modeling techniques in TE bioreactors.

Curcumin was loaded into different polysaccharide nanoparticles chitosan, alginate and starch, using the desolvation method. Curcumin-loaded nanoparticles exhibited enhanced solubility in aqueous solutions comparing with free curcumin. Effects of formulation parameters such as curcumin concentration and different volumes of ethanolic solution were affected the particle size and loading efficiency. Under optimum conditions, curcumin-loaded chitosan, starch and alginate nanoparticles with mean particles sizes of 66.3, 61.1 and 78.8nm, and maximum loading efficiencies of 11.9%, 14.3% and 13.35% were achieved, respectively. Additionally, the minimum inhibitory concentration for chitosan, starch and alginate nanoparticles against the microorganism, Streptococcus mutans, were 0.114, 0.204 and 0.204mg/mL, respectively. Curcumin was observed to release from nanoparticles under physiological pH over a period of 96h. The effect of curcumin-loaded nanoparticles on S. mutans biofilms was assessed on dental models. According to the results, curcumin-loaded chitosan nanoparticles hold promises for being used in dental decay fighting products.

Simultaneous prolonged delivery of therapeutic gene, hydrophilic and hydrophobic anticancer drugs using biocompatible pH-sensitive LipoNiosome has been considered as a novel and promising method in order to treatment multi-drug resistant cancer.

In bone tissue engineering, the intrinsic hydrophobicity and surface smoothness of three-dimensional (3D)-printed poly(ε-caprolactone) scaffolds hamper cell attachment, proliferation and differentiation. This intrinsic hydrophobicity of poly(ε-caprolactone) can be overcome by surface modifications, such as surface chemical modification or immobilization of biologically active molecules on the surface. Moreover, surface chemical modification may alter surface smoothness. Whether surface chemical modification or immobilization of a biologically active molecule on the surface is more effective to enhance pre-osteoblast proliferation and differentiation is currently unknown. Therefore, we aimed to investigate the osteogenic response of MC3T3-E1 pre-osteoblasts to chemically surface-modified and RGD-immobilized 3D-printed poly(ε-caprolactone) scaffolds. Poly(ε-caprolactone) scaffolds were 3D-printed consisting of strands deposited layer by layer with alternating 0°/90° lay-down pattern. 3D-printed poly(ε-caprolactone) scaffolds were surface-modified by either chemical modification using 3 M sodium hydroxide (NaOH) for 24 or 72 h, or by RGD-immobilization. Strands were visualized by scanning electron microscopy. MC3T3-E1 pre-osteoblasts were seeded onto the scaffolds and cultured up to 14 d. The strands of the unmodified poly(ε-caprolactone) scaffold had a smooth surface. NaOH treatment changed the scaffold surface topography from smooth to a honeycomb-like surface pattern, while RGD immobilization did not alter the surface topography. MC3T3-E1 pre-osteoblast seeding efficiency was similar (44%–54%) on all scaffolds after 12 h. Cell proliferation increased from day 1 to day 14 in unmodified controls (1.9-fold), 24 h NaOH-treated scaffolds (3-fold), 72 h NaOH-treated scaffolds (2.2-fold), and RGD-immobilized scaffolds (4.5-fold). At day 14, increased collagenous matrix deposition was achieved only on 24 h NaOH-treated (1.8-fold) and RGD-immobilized (2.2-fold) scaffolds compared to unmodified controls. Moreover, 24 h, but not 72 h, NaOH-treated scaffolds, increased alkaline phosphatase activity by 5-fold, while the increase by RGD immobilization was only 2.5-fold. Only 24 h NaOH-treated scaffolds enhanced mineralization (2.0-fold) compared to unmodified controls. In conclusion, RGD immobilization (0.011 μg mg−1 scaffold) on the surface and 24 h NaOH treatment of the surface of 3D-printed PCL scaffold both enhance pre-osteoblast proliferation and matrix deposition while only 24 h NaOH treatment results in increased osteogenic activity, making it the treatment of choice to promote bone formation by osteogenic cells.

A novel approach was developed for the preparation of stealth controlled-release liposomal doxorubicin. Various liposomal formulations were prepared by employing both thin film and pH gradient hydration techniques. The optimum formulation contained phospholipid and cholesterol in 1:0.43 molar ratios in the presence of 3% DSPE-mPEG (2000). The liposomal formulation was evaluated by determining mean size of vesicle, encapsulation efficiency, polydispersity index, zeta potentials, carrier's functionalization, and surface morphology. The vesicle size, encapsulation efficiency, polydispersity index, and zeta potentials of purposed formula were 93.61 nm, 82.8%, 0.14, and -23, respectively. Vesicles were round-shaped and smooth-surfaced entities with sharp boundaries. In addition, two colorimetric methods for cytotoxicity assay were compared and the IC (the half maximal inhibitory concentration) of both methods for encapsulated doxorubicin was determined to be 0.1 μg/ml. The results of kinetic drug release were investigated at several different temperatures and pH levels, which showed that purposed formulation was thermo and pH sensitive.

This study focuses on the development of a universal mathematical model for drug release kinetics from liposomes to allow in silico prediction of optimal conditions for fine-tuned controlled drug release. As a prelude for combined siRNA-drug delivery, nanoliposome formulations were optimized using various mole percentages of a cationic lipid (1,2-dioleoyl-3-trimethylammonium-propane, DOTAP) in the presence or absence of 3 mol% distearoyl phosphoethanolamine, polyethylene glycol (PEG-2000mDSPE). Outcome parameters were particle size, zeta potential, entrapment efficiency, in vitro drug release, and tumor cell kill efficiency. The optimized formula (containing 20% DOTAP with 3% DSPE-mPEG(2000) was found to be stable for six months, with round-shaped particles without aggregate formation, an average diameter of 71 nm, a suitable positive charge, and 89% drug encapsulation efficiency (EE). The 41% drug release during 6 h confirmed controlled release. Furthermore, the release profiles as functions of pH and temperature were investigated and the kinetics of the drug release could adequately be fitted to Korsmeyer-Peppas' model by multiple regression analysis. The statistical parameters confirmed good conformity of final models. Functionality of the novel cationic liposome formulations (± DOX) was tested on osteosarcoma (OS) cell lines. Increased OS cell toxicity (1.3-fold) was observed by the DOX-loaded vs. the free DOX. A feasibility pilot showed that siRNA could be loaded efficiently as well. In conclusion, we have established a predictive mathematical model for the fine-tuning of controlled drug release from liposomal formulations, while creating functional drug-delivery liposomes with potential for siRNA co-delivery to increase specificity and efficacy.