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Technical Papers
Sep 29, 2017

Multiscale Models of Degradation and Healing of Bone Tissue Engineering Nanocomposite Scaffolds

Publication: Journal of Nanomechanics and Micromechanics
Volume 7, Issue 4

Abstract

Biomaterials selection and design, and mechanical properties evolution during degradation and tissue regeneration play a critical role in the successful design of nanocomposite scaffolds for bone tissue regeneration. A new multiscale mechanics-based in silico approach is developed to provide a robust predictive methodology for nanocomposite scaffolds. Scaffolds are fabricated using amino acid–modified nanoclay with biomineralized hydroxyapatite (in situ HAPclay) and polycaprolactone (PCL). Steered molecular dynamics (SMD) simulations of the molecular models of HAPclay and the PCL composite provide a mechanical response of the material and the nature of the molecular interactions among constituents. The mechanical responses obtained from SMD are incorporated into a finite element (FE) model of a PCL/in situ HAPclay scaffold with its microstructure obtained from microcomputed tomography images. The model is validated using experimental results. The stress–strain response from multiscale models and experiments shows good agreement with the consideration of wall porosity correction. The multiscale models incorporate damage mechanics–based degradation and healing behavior to capture the evolution of the mechanical properties as the scaffolds degrade and human osteoblasts grow and proliferate inside the scaffolds. The novel multiscale models provide a robust prediction of the mechanical properties evolution in the scaffolds over the time evolution of cell growth proliferation and tissue formation.

Introduction

Bone tissue regeneration is a complex multiscale process in which the evolution of tissues depends on biochemical, physical, geometrical, and mechanical factors. These factors mutually influence the biophysical response of other factors at different spatial and time scales (Wu et al. 2010). The mechanical properties of hard tissues such as bone arise from the complex hierarchical structure (Murugan and Ramakrishna 2005). Hence, it is important to consider the hierarchy of bone in the design of biomaterials that can heal/replace damaged tissues or substitute as an implant in critical size bone defects in the body. Although biological grafts have traditionally been used in bridging the critical size defects in bone, the risk of donor site morbidity, long healing time, persistent pain in autografts (Fernyhough et al. 1992; Kim et al. 2009; Kurz et al. 1989), and the associated concerns of graft rejection and transmission of diseases in allografts (Cartmell and Dunn 2004; Keating et al. 2005) affect the desirable defect healing outcome. To overcome these disadvantages, biomaterials such as the tissue-engineered polymer scaffold can be considered viable candidates for implant in critical size bone defects treatment. However, the material selection, structural integrity, and mechanical properties evolution during degradation and tissue regeneration are still major challenges in designing a complex hierarchical polymer scaffold for bone tissue regeneration. Use of predictive methodologies for the design of biomaterials in general, and scaffolds in particular, is limited; most studies in the literature are testing and experiment based. In recent years, efforts have been made toward a simulation basis for the design of optimized polymer scaffolds for bone tissue regeneration (Katti et al. 2015a, 2017; Raabe et al. 2007; Sun et al. 2013). Recent studies have elucidated the emergence and importance of multiscale modeling of mechano-biological aspects (Hellmich et al. 2012; Hellmich and Katti 2015; Shim et al. 2012) that can also be useful for novel biomaterials design.
Hydroxyapatite (HAP) is a mineral component in the bone, and for this reason, it is widely used as a synthetic biomaterial to enhance osteoconductivity, biocompatibility, and nonimmunogenicity (Khanna et al. 2011; Li et al. 2013; Wang et al. 2007). However, due to its hard and brittle nature, it is often combined with aliphatic polyesters such as polycaprolactone (PCL) as an inorganic filler to improve the mechanical strength of the polymer-based scaffolds (Lyons et al. 2014; Roeder et al. 2008). PCL is a hydrophobic, semicrystalline polymer with excellent blend-compatibility, rheological, and viscoelastic properties (Nair and Laurencin 2007; Okada 2002; Woodruff and Hutmacher 2010). Many PCL-based drug delivery devices have been approved by the U.S. Food and Drug Administration (FDA) because of PCL’s good biocompatibility and biodegradability (Dash and Konkimalla 2012; Kumari et al. 2010; Torchilin 2001). Because of these properties, PCL has become a candidate for the fabrication of tissue-engineered scaffolds (Hollister 2005; Shor et al. 2007; Yoshimoto et al. 2003). Experimental and molecular dynamics (MD) simulation studies performed in this group indicate that the mechanical properties of PCL composites are highly influenced by the presence of HAP (Bhowmik et al. 2009; Verma et al. 2006, 2010). Montmorillonite (MMT) nanoclay was first used by the Toyota research group in the 1990s to improve the mechanical properties of the nylon-6 nanoclay composite (Okada et al. 1990). The addition of small amounts of modified nanoclay has shown significant improvement of the biocompatibility, the biodegradability, and the thermal and mechanical properties of polymer nanocomposites (PCN) (Katti et al. 2008, 2006; Okada et al. 1990; Picard et al. 2007). Molecular dynamics studies have shown that the interactions between MMTclay and organic modifiers control the mechanical properties of PCN (Sikdar et al. 2008a). Previous studies by this group have led to the development of the altered phase theory of PCNs (Sikdar et al. 2008b). The altered phase model developed by this group revealed that the altered polymer has a higher elastic modulus compared with the unaltered polymer in the PCN (Sikdar et al. 2008b). The authors have also used engineered nanoclay to successfully synthesize a biocomposite system for bone tissue engineering applications (Katti et al. 2008).
Given the increase in biological and mechanical properties of the biomaterials resulting from the PCL, HAP, and modified nanoclay, the authors have synthesized a novel PCL/in situ HAP nanoclay biomaterial system for bone tissue engineering applications (Ambre et al. 2015). The interlayer spacing and biocompatibility of MMT nanoclay were enhanced by modifying it with unnatural aminovaleric acid (Katti et al. 2005, 2010). The modified MMTclay was used to prepare a biomineralized HAP (in situ HAPclay), using a biomimetic strategy (Ambre et al. 2011). Finally, PCL was introduced to synthesize PCL/in situ HAP nanoclay films and scaffolds. The mechanical properties of nanocomposite films and scaffolds were increased compared with pristine PCL because of the presence of the in situ HAP nanoclay (Ambre et al. 2011). The cell culture study on this system indicated a flat and spherical morphology of human Mesenchymal Stem Cells (hMSCs) and the formation of the mineralized extracellular matrix (ECM) similar to the human bone (Ambre et al. 2015; Katti et al. 2015b).
To understand the underlying interaction mechanisms and mechanical properties of our composite system, the authors have developed representative molecular models of organically modified MMTclay (OMMT), OMMT-HAP, and OMMT-HAP-PCL (Katti et al. 2015a; Sharma et al. 2015). Further, a steered molecular dynamics (SMD) study was performed to understand the mechanical properties of the OMMT-HAP-PCL nanocomposite scaffold (Sharma et al. 2015). The mechanical response of OMMT-HAP-PCL at the molecular level showed two distinct regions in the stress–strain curve. The results of these molecular dynamics simulations described the contribution of molecular interactions among different constituents of HAP, the modifier, PCL, and MMTclay and provided a detailed insight into a complex biomaterial system for bone tissue engineering applications.
Besides the role of molecular interactions in the mechanical properties evaluation, structural integrity also plays an important role in determining the biological responses and performances in bone tissue formation in polymeric scaffolds. Therefore, it is paramount to examine the stress–strain characteristics in polymeric scaffolds at the macrostructural level. For this purpose, the finite element (FE) method is commonly accepted as a numerical tool to predict the mechanical behavior of scaffolds. Among different FE modeling approaches, the microcomputed tomography (μCT) based FE method is widely used to simulate a representative three-dimensional (3D) scaffold microstructure (Jaecques et al. 2004; Lacroix et al. 2006; Lohfeld et al. 2012; Sandino et al. 2008). The μCT–FE technique provides the ability to analyze quantitatively the mechanical behavior of highly porous and complex materials such as trabecular bone, polymeric scaffolds, and metallic and polymeric foams (Jones et al. 2006; Lacroix et al. 2009; Müller and Rüegsegger 1995; Saadatfar et al. 2005; Singh et al. 2010; Verhulp et al. 2008). The effects of pore interconnectivity, scaffold porosity, fluid velocity, and pressure on the stress–strain distribution in the porous scaffolds (Lacroix et al. 2009; Sandino et al. 2008) have also been described. The local stress concentration and deformation processes in cellular solids (ceramics, metals, and polymers) have been calculated (Petit et al. 2013). Analysis correlating the biomechanical interactions between the porous bioactive HAP ceramics and bone tissue regeneration indicates a strong relationship between bone ingrowth and the overall stiffness of scaffolds (Ren et al. 2012). Recently, the mechanical responses of polycaprolactone/tricalcium phosphate (PCL/TCP) composite scaffolds have been predicted for an optimizing scaffold design (Lohfeld et al. 2015). MD and SMD simulations provide a framework to analyze the mechanical responses in a scaffolds material system at the molecular level quantitatively; similarly, the FE modeling approach allows the simulation of the stress–strain behavior in scaffolds at the macroscopic level. However, few attempts have been made to connect quantitatively the mechanical behavior obtained at the molecular level to the macroscopic mechanics for designing the scaffolds for bone tissue engineering applications.
Chemical degradation via hydrolysis or enzyme-catalyzed hydrolysis is the most common degradation mechanism in polymer scaffolds. The degradation of PCL-based scaffolds under accelerated (alkaline) and simulated physiological conditions indicates that the PCL composite scaffolds are degraded via surface degradation; for long periods, the degradation in simulated conditions appears similar to bulk degradation (Lam et al. 2008). A subsequent in vivo degradation study revealed that for a short duration (6 months), the degradation mechanism is mainly through the surface and that for a longer period (2 years), it was bulk degradation (Lam et al. 2009). These studies indicate that PCL composites exhibit similar degradation mechanisms in in vivo and in vitro conditions. Recently, it was reported that the addition of nanoparticles such as HAP could be used to modulate the degradation rate of PCL composite scaffolds (Díaz et al. 2014). The addition of biomineralized HAP nanoclay to the PCL influences the degradation behavior of the scaffold (Ambre et al. 2015). It has been reported that Young’s modulus of composite scaffolds was increased when cells were seeded on the scaffolds (Perron et al. 2009). In addition to the in vitro and in vivo studies, several mathematical models have been developed that link the changes in molecular weight and mass loss to the degradation of polymeric scaffolds (Bawolin et al. 2010; Heljak et al. 2014; Rothstein et al. 2009).
Several in vivo studies have reported PCL-nanocomposite scaffold degradation behavior (Pektok et al. 2008; Yeo et al. 2008). The authors have reported that mineralization in the nanoclay-PCL scaffolds mimics biology by the formation of intercellular vesicles in the PCL/in situ HAPclay composite films seeded with hMSCs cells (Katti et al. 2015a) similar to the formation observed in biological systems. The transmission electron microscopy (TEM) imaging results showed highly crystalline mineral inside the vesicles, indicating that the composite films provide a favorable bone-mimetic environment for new bone formation. Thus, in addition to understanding the tissue regeneration and polymer degradation for bone tissue engineering applications, it is important to incorporate and investigate the effects of these processes on the mechanical behavior of polymeric scaffolds.
The main goal of this study is to develop a multiscale mechanics approach to designing a three-dimensional polymer scaffold for bone tissue regeneration. To achieve this, (1) a μCT-FE model of a PCL/in situ HAPclay scaffold was created using the 3D reconstructed μCT images and materials properties obtained from this group’s previous SMD simulations (Sharma et al. 2015), the predicted FE model was verified, and the mechanical behavior was analyzed against the experimental compression tests’ results; (2) the effect of the accelerated degradation on the mechanical properties of scaffolds was obtained experimentally; (3) the response of human osteoblast (hOB) cells to scaffolds and the cells’ effect on the mechanical properties of seeded scaffolds were found experimentally; and (4) analytical models were developed for mechanical properties prediction in accelerated-degradation scaffolds and hOB cells–seeded scaffolds. A new scaffold degradation modeling approach based on damage mechanics principles was developed in this work. The authors used the mathematical formulation for the disturbed state concept (DSC), previously developed for porous materials, solids, and interfaces, to model the mechanical behavior of the scaffolds in this work. The DSC was introduced by Desai et al. to express the behavior of the disturbed/deformed material through the reference of its undisturbed/undeformed (intact) state (Desai 1974). This concept is widely used because of its simple numerical formulation and ability to predict the behavior of a wide range of materials (Katti and Desai 1995; Kwak et al. 2013, 2014).
The mechanical compression tests were performed to study the stress–strain responses in the PCL/in situ HAPclay scaffolds. Scanning electron microscopy (SEM) was used to study the hOB cells’ behavior and to capture the scaffold wall porosity. A water-soluble Tetrazolium salt-1 (WST-1) assay was performed to assess the viability of the hOB cells on the scaffolds.
The final step in achieving the study goal was to develop an integrative FE model by using the predicted FE model and the analytical models of the PCL/in situ HAPclay scaffolds for critical size bone defects implants.

Materials and Methods

Materials

Sodium-montmorillonite clay (SWy-2; Crook County, Wyoming) was purchased from the Clay Minerals Repository at the University of Missouri, Columbia, Missouri. Polycaprolactone (average molecular weight Mn=80,000), 1,4 dioxane (anhydrous, 99.8%), and 5-aminovaleric acid were purchased from Sigma-Aldrich (St. Louis, Missouri). Sodium phosphate (Na2HPO4) and calcium chloride (CaCl2) were purchased from J. T. Baker (Phillipsburg, New Jersey) and EM Sciences (Hatfield, Pennsylvania), respectively. Human osteoblast cells (hFOB 1.19 cell line CRL 11372) were obtained from American Type Culture Collection (ATCC) (Manassas, Virginia). The cell culture medium used in the hOB cells culture was made of fetal bovine serum (FBS) from ATCC, a G418 antibiotic from JR Scientific (Woodland, California), and HyQ Dulbecco’s modified eagle’s medium (DMEM)-12 (1:1) from Hyclone (Logan, Utah).

Preparation of Polycaprolactone (PCL)/In Situ Hydroxyapatite (HAP) Clay Scaffolds

PCL/in situ HAPclay scaffolds were prepared following the method described in the group’s previous study (Ambre et al. 2015). In summary, 3.6 g of PCL was added to 40 mL of 1,4 dioxane and stirred in a beaker until all the polymer was dissolved. A 0.4 g of in situ HAPclay (the preparation procedure is described in Ambre et al. 2011) was sonicated in 16 mL of 1,4 dioxane. The sonicated suspension was added to the PCL solution, and the resulting solution was further stirred for another two hours at room temperature. The final solution was transferred into the polypropylene (PP) centrifuge tubes, and these tubes were frozen overnight in an isopropyl alcohol bath at 20°C. These cylindrical frozen PCL composite samples were removed from the tubes and transferred into absolute ethanol (20°C) for the solvent extraction. The absolute ethanol solution was replaced every 24 h. After four days, the frozen PCL composite samples were removed from the solution and dried at room temperature. Finally, these scaffolds were cut into the size 13 mm long and 13 mm in diameter, to ensure the uniform tissue growth in the cell culture well plate. Samples of the same size were used for consistency in all the studies presented in this paper.

Scanning Electron Microscopy Characterization

A JEOL JSM-6490LV [Japan Electron Optics Laboratory (JOEL), Peabody, Massachusetts] scanning electron microscope was used to study the microstructure of the PCL/in situ HAPclay scaffolds. The SEM imaging of the adhesion of the hOB cells on the PCL/in situ HAPclay scaffolds was performed with the same SEM instrument. The seeded scaffolds were washed with phosphate buffer saline to remove the cell culture medium. For fixing the live hOB cells, the seeded scaffolds were first treated with glutaraldehyde (2.5%) and then dehydrated in an ethanol series (10% v/v, 30% v/v, 50% v/v, 70% v/v, and 100%). Then, hexamethyldisilazane was used to replace the dried 100% ethanol. Before their viewing in the SEM, all these samples were sputter coated with gold and mounted on an SEM sample stub.

Microcomputed Tomography (μCT) of PCL/In Situ HAPclay Scaffolds

Three samples of the PCL/in situ HAPclay scaffolds were scanned using a microcomputed tomography technique. The samples were attached to a glass rod using carbon tape and placed inside a GE Phoenix (General Electric, Boston, Massachusetts) v|tome|x s X-ray computed tomography system (μCT) equipped with an 180 kV high power nanofocus X-ray tube xs|180nf and a high contrast GE DXR250RT (General Electric, Boston, Massachusetts) flat panel detector. One thousand projections of the sample were acquired at 60 kV and 350 mA, using a molybdenum target. The detector timing was 1,000 ms and the total acquisition time was 1 h and 6 min. The sample magnification was 7.28× with the voxel size 24.38 μm. The acquired images were reconstructed into a volume data set using datos|x 3D computer tomography software version 2.2. A Diconde image series was then acquired from the reconstructed volume. Finally, the image analysis software Mimics was used for the three-dimensional reconstruction of the scaffold [Fig. 1(a)]. Cylinders of 1.5-mm height and 1.5-mm diameter from each sample were modeled.
Fig. 1. (a) 3D reconstruction of the PCL/in situ HAPclay scaffold in Mimics; (b) mechanical response of PCL/in situ HAPclay at molecular scale obtained from steered molecular dynamics (SMD) simulations; (c) the loading conditions for the scaffold in the FE model

Finite Element Modeling of PCL/In Situ HAPclay Scaffolds

To evaluate the mechanical properties of the PCL/in situ HAPclay scaffolds, the finite element (FE) models were created from the assembly of 3D STereoLithography (STL) geometric models of scaffolds. The small cylinders obtained after 3D reconstructions were then converted into a 3D tetrahedral mesh using 3-Matic software and used as FE models. The typical 3D FE model contains 134,929 nodes and 352,316 tetrahedral elements of approximately 10–25-μm length. The scaffold models were imported into Mentat software for the FE analysis simulations. An unconfined compressive loading condition was simulated to determine the mechanical properties of the scaffolds. Parallel plates were attached to the top and bottom surfaces of the scaffold. For the loading condition, the axial load was uniformly applied on the upper plate of the model, whereas the lower plate was constrained in all directions. The material parameters used in the FE analysis simulations were obtained from this group’s previous SMD study [Fig. 1(b)] (Sharma et al. 2015). The loading conditions for the scaffold are shown in Fig. 1(c). Finally, the stress–strain responses in the meshed scaffold were analyzed with Marc 13.0 FE analysis software. All FE analysis simulations were run on 256 processors (32 nodes; eight processors per node) at the Center for Computationally Assisted Science and Technology (CCAST) clusters at North Dakota State University (Fargo, North Dakota) using Marc 13.0 software. Figs. 2(a and b) show the SEM images of the scaffolds and the porosities and microporosities in the scaffold walls.
Fig. 2. SEM micrographs of PCL/in situ HAPclay scaffold: (a) pores sized between 100 and 300 μm; (b) pores (sized <10 and 10–30 μm) in the walls of a PCL/in situ HAPclay scaffold microstructure; (c) wall porosity correction (reduction factor) applied to finite element analysis stress due to wall porosity=K=totalwalllength/materiallength=x/y=8; (d) comparison of mechanical behavior obtained from experiments and finite element analysis; results show good agreement after wall porosity correction

Accelerated Degradation Studies in 0.1M NaOH

The mechanical degradation of the PCL/in situ HAPclay scaffolds was studied in alkaline conditions (0.1M NaOH). Scaffold samples were ultraviolet (UV) sterilized for 45 min and then immersed in 70% alcohol overnight. The samples were then washed with phosphate buffer saline (PBS) to prepare them for degradation studies. The PBS-washed scaffold samples were transferred to a 0.1M NaOH solution in separate glass vials. The scaffold samples in glass vials were placed at 37°C and 5% CO2 for degradation. Finally, the scaffolds were removed from the glass vials after each degradation period (1, 5, 7, 14, and 18 days) and washed with deionized water and dried at room temperature conditions.
The compressive mechanical tests were carried out on undegraded (0 days, control) and degraded (1, 5, 7, 14, and 18 days) PCL/in situ HAPclay composite scaffold samples using a material testing servo mechanical test frame (MTS 858, MTS Systems, Eden Prairie, Minnesota). Each sample was placed between the flat and smooth platens to perform the tests. A 1  mm/min of constant deformation rate was applied for up to 10% strain to each test sample. The load and corresponding displacement data were recorded. The load-displacement data were used to construct the stress–strain response curves for each sample.

Human Osteoblast (hOB) Cell Culture Studies

Cell culture experiments for cell viability and mechanical properties studies of the PCL/in situ HAPclay scaffolds were carried out using hOB cells. For this purpose, UV sterilized, 70% alcohol-immersed, and PBS-washed scaffolds samples were used. The PBS-washed scaffold samples were first immersed in a cell culture medium and kept at 37°C and 5% CO2 in the incubator. After 24 h, 1×105 hOB cells were seeded on each sample and 1 mL of cell culture medium was then added. This was followed by incubation of cell-seeded scaffolds at 37°C and 5% CO2 for 4, 7, 18, and 28 days. The cell culture medium was changed every 3 days.
The compressive mechanical tests of PCL/in situ HAPclay scaffolds seeded with hOB cells were carried out in wet conditions using a compression testing machine (Mechanical test system SATEC model 22 EMF, Instron, Norwood, Massachusetts). For wet testing, the scaffolds were directly removed from the cell culture medium (at 37°C) after 4, 7, 18, and 28 days and tested at room temperature. The samples were immediately placed between the flat and smooth platens of the mechanical testing machine and remained under wet condition during the entire experiments. Deformation control loading was applied at a constant rate of 1  mm/min up to 10% strain. The load-displacement results were analyzed using Bluehill software v. 2.5 and used for stress–strain calculations.

Cell Proliferation Study Using WST-1 Assay

An investigation of the viability of the hOB cells grown in the PCL/in situ HAPclay scaffolds was studied using WST-1 assay (Roche Applied Science, Mannheim, Germany). The cell viability analysis was performed on the hOB cells-seeded scaffolds for 4, 7, 18, and 28 days following the manufacturer protocol (Cell Proliferation Reagent WST-1 2011). The hOB cells-seeded scaffolds were removed from the culture medium and washed with PBS. Then, the washed scaffolds were placed in a 96-well plate filled with culture medium and WST-1 reagent and incubated at 37°C and 5% CO2. After 4 h of incubation, the scaffolds were removed from the solution and the absorbance of formazan-formed solution, which is directly related to the number of live cells, was read at 450 nm using a microplate spectrophotometer (Bio-Rad, Benchmark Plus, Bio-Rad Laboratories, Hercules, California).

Integrative Finite Element Modeling of PCL/In Situ HAPclay Scaffold of Critical Size

An integrative FE modeling was performed to analyze the effect of the time-dependent process of accelerated degradation and the hOB cell culture on the mechanical behavior of the implant PCL/in situ HAPclay scaffold in critical size bone defects. The length and diameter of the FE model were 4 and 2.82 cm, respectively. The FE model was constructed using 1.5-mm tetrahedral elements. The element length was the same as the size of the FE model of the PCL/in situ HAPclay. The total numbers of nodes and elements of the FE model were 7,133 and 36,037, respectively. The bottom and top surfaces were attached to plates. The bottom plate was constrained in all three directions, and a uniform axial load in the z-direction was applied on the top plate. The time-dependent material parameters used in the FE simulations were obtained from the integration of the stress–strain response of the predicted FE model of the PCL/in situ HAPclay scaffolds and the proposed degradation function. Finally, the stress–strain responses were reported for the FE simulations of the implant scaffold in critical size bone defects. The FE model was carried out using the Marc/Mentat 13.0.

Statistical Analysis

Each experiment in this study was conducted four times for the repeatability of the experiments and statistical analysis. All experimental data were analyzed using Student’s t-test and expressed as a mean±standard deviation. The data from more than two different samples were compared by using a one-way analysis of variance model (ANOVA). The difference between samples was considered significant if p<0.01. The statistical analysis was carried out using MINITAB.

Results

Figs. 2(a and b) present the SEM images of the PCL/in situ HAPclay scaffold. The sizes of the pores in the scaffolds are in the range of 100–300 μm. In addition to the larger pores, the PCL/in situ HAPclay scaffolds have wall porosities of sizes less than 10 and in the range of 10–30 μm [Fig. 2(b)]. These porosities reduce the amount of material in the scaffold walls. The compression loading tests were performed (10% strain) to evaluate the mechanical behavior of the PCL/in situ HAPclay scaffolds. The stress–strain behavior of the scaffold was obtained from the stress–strain response obtained from the experiments, as shown in Fig. 2(d).

Finite Element Analysis of PCL/In Situ HAPclay Scaffolds

In this study, a microcomputed tomography–aided FE modeling approach is applied to analyze mechanical behavior in the PCL/in situ HAPclay scaffolds. As shown in Fig. 1(c), a PCL/in situ HAPclay scaffold model was designed from the 3D reconstruction of μCT images. A cylindrical region of interest was isolated from the whole 3D scaffold model for the FE analysis calculations. The FE model was subsequently constructed by converting the 3D scaffold model into the 3D tetrahedral mesh. To reproduce the mechanical compressive test conditions, the authors applied similar boundary conditions in the FE model. Therefore, up to a 10% compressive strain was applied on the FE model.
It was found that the stress calculated from the FE analysis was higher than the experimentally calculated stress, because the FE model does not include wall porosity because the μCT is unable to image features less than 20 μm. The size range of wall porosity is 0–20 μm. As a result, the FE model has a lower porosity than the actual scaffold and, as a consequence, higher predicted stress values. To incorporate the effect of micropores (10–30 μm or smaller) in the walls on the mechanical properties prediction of the PCL/in situ HAPclay scaffold, the porosity of the scaffold walls was calculated using Fig. 2(c). The SEM images indicate 76% wall porosity in the scaffold walls. To include this wall porosity, which is not represented in the FE model, the authors introduced a new reduction factor, K. The reduction factor K is a wall porosity correction and is defined as a total wall length divided by the material length (x/y) [Fig. 2(c)]. The stress values obtained from the FE analysis were then corrected by multiplying them by the reduction factor, K. As shown in Fig. 2(c), K for the PCL/in situ HAPclay is found to be 8. Fig. 2(d) shows a comparison between the stress–strain behavior from the experimental compression tests and the multiscale model after the incorporation of reduction factor K.

Accelerated Degradation in PCL/In Situ HAPclay Scaffolds

Mechanical Properties of PCL/In Situ HAPclay Degradation in 0.1M NaOH

The accelerated degradation studies (0.1M NaOH maintained at 37°C) were carried out on the PCL/in situ HAPclay scaffolds. Fig. 3 shows the stress–strain plots of the undegraded and degraded samples. The compressive mechanical properties of the scaffolds decreased with time. The plot shows a gradual decrease in the first 5 days followed by a more rapid drop to day 18. The significant drop in the mechanical properties was observed between days 5 and 7.
Fig. 3. Compressive mechanical properties of undegraded (control) and degraded (days 1, 5, 7, 14, and 18) PCL/in situ HAPclay scaffolds in alkaline condition (0.1M NaOH); the compressive mechanical properties of PCL/in situ HAPclay scaffolds decrease with degradation time

Analytical Model for Degradation

In the present study, the authors proposed a new analytical mechanical degradation model of PCL/in situ HAPclay scaffolds. The model was developed to predict the mechanical properties of scaffolds with degradation. The proposed analytical modeling approach was inspired by the disturbed state concept (DSC) (Katti and Desai 1995). The DSC can be used to analyze and predict the mechanical degradation behavior of polymer scaffolds.
The DSC considers material to be completely intact at the relative intact (RI) state and completely deformed at the fully adjusted (FA) state, or vice versa. For degradation studies, the RI is the undegraded scaffold and the FA is the fully degraded scaffold. In the current work, the degradation was computed
D=1(StS0)
(1)
where D = degradation; St = strain energy density of the degraded sample at the time t; and S0 = strain energy density of the undegraded sample. The strain energies are calculated
S=0pσdε
(2)
where p = predetermined strain value used for calculating the strain energy density for mechanical experiments on intact samples and samples at various degradation times. Effectively, S is the area under the stress–strain curves up to strain p. In the current study, p was 10%. The value of D ranged from D=0 for intact (the undegraded sample) to D=1 or a residual value for the fully degraded sample. As shown in Fig. 3, with increasing time, the mechanical response of the scaffold degraded so that the strain energy density St decreased with time while the degradation D increased with time.
A degradation time evolution function was proposed to capture the experimental behavior and was used as a predictive mathematical model. The authors proposed the use of a mathematical form used in damage mechanics similar to that was used in (Katti and Desai 1995)
D=Du[1exp(Atz)]
(3)
where D = degradation; Du = residual degradation value if the degradation does not lead to a complete loss of mechanical properties; t = time; and A and Z = degradation evolution parameters for the scaffolds obtained from the mechanical tests on scaffolds. The parameters A and Z can be affected by pressure and fluid flow rate. In the current work, all experiments were conducted at atmospheric pressure and at no flow conditions. Du=1 in the current work. Consequently, Eq. (3) becomes
D=[1exp(Atz)]
(4)
As subsequently described, that function was effective in modeling the degradable behavior of scaffolds used in the study.

Parameter Determination

The accelerated degradation, D, of the PCL/in situ HAPclay scaffolds at days 1, 5, 7, and 18 was obtained from the experimental compression tests results presented in Fig. 3. The values of D were found by calculating the strain energy density of the scaffolds at 10% strain using Eq. (1). S was found from the area under the stress–strain curve from the compression test results shown in Fig. 3. Fig. 4(a) shows the degradation values calculated using Eq. (1) versus time. As shown in Fig. 4(a), the mechanical degradation increases with time. Applying the natural log on the left-hand and right-hand sides of Eq. (4) leads to
ln[ln(1D)]=ln(A)+zln(t)
(5)
Fig. 4. (a) Mechanical property degradation (D) of PCL/in situ HAPclay scaffolds in alkaline condition (0.1M NaOH); (b) plot for calculation of parameters for degradation function (D); (c) model verification: experimental compressive stress–strain curve of PCL/in situ HAPclay scaffolds degraded in alkaline conditions (0.1M NaOH) at 14 days and compared to the model-predicted compressive stress–strain curve
Eq. (5) is a line in the ln[ln(1D)] versus ln(t) space [Fig. 4(b)], where ln(A) = intercept and z = slope of the line. The calculated degradation data at different days is found from Fig. 4(a). The authors did not use the data for day 14 for the calculation of parameters; the data was subsequently used for validation. By substituting the degradation values at different days, A and z were found by using the least-squares method. The values of A and z are 0.1205 and 0.8253, respectively [Fig. 4(b)]. Therefore, for the accelerated degradation of the PCL/in situ HAPclay scaffolds, the mechanical degradation function, D, in Eq. (4) can be written
D=1exp(0.1205t0.8253)
(6)

Validation of Model

The accelerated degradation analytical model proposed in Eq. (4) was validated by predicting the mechanical compression test results not used in finding the parameters. The model was validated with respect to the stress–strain response for the degraded PCL/in situ HAPclay scaffold at day 14. The degradation value for the degraded PCL/in situ HAPclay scaffold at day 14 was obtained from Eq. (6). The stress values were calculated by using following equation:
σ=(1D)σ0
(7)
where σ = stress of the degraded sample; σ0 = stress of the undegraded sample at the same strain; and D = degradation function value at day t.
Fig. 4(c) shows the comparison of the stress–strain response, after 14 days’ degradation, of the predicted stress response obtained from the analytical model with the stress response from the compression tests. The comparison shows a good agreement between the test results and the predicted model for the stress–strain responses of the degraded PCL/in situ HAPclay scaffolds. The strain energy density of the 14 days degraded sample was back-predicted using the D value calculated from the analytical model. Table 1 shows the comparison of the strain energy density, at 5 and 10% strains, of the predicted-from model with the compression test results. The difference of the strain energy density, at 5 and 10% strains, calculated from the model and compression tests, is 1.40 and 9.06%, respectively. The authors found a good agreement between the predicted model and the compression test results, indicating that the proposed model [Eq. (4)] provides a satisfactory prediction of the mechanical behavior of the degradation with time of the PCL/in situ HAPclay scaffolds.
Table 1. Verification of Degradation Function (D)
Strain (%)Strain energy (exp) (Pa)Strain energy (predicted) (Pa)Difference (%)
56516421.40
102,3342,1239.06

Note: Comparison of strain energy between predicted and experiment data at 14 days.

Human Osteoblast Cells–Seeded PCL/In Situ HAPclay Scaffolds

Cell Proliferation

The viability of hOB cells on the PCL/in situ HAPclay scaffolds at 4, 7, 18, and 28 days was quantitatively obtained using the WST-1 assay. In the WST-1 assay, the metabolic activity of living cells converts the WST-1 reagent into colored formazan. The number of cells can be estimated by measuring the intensity of the formazan, which is proportional to the number of living cells. The results showed a progressive increase in the hOB cell proliferation with the number of days [Fig. 5(a)].
Fig. 5. (a) WST-1 cell proliferation study of hOB cells cultured on PCL/in situ HAPclay scaffolds; the data were obtained after 4, 7, 18, and 28 days of cell culture and presented as mean±standard deviations; (b and c) SEM micrographs of hOB cells cultured on PCL/in situ HAPclay after 28 days; images show flat and round morphologies indicating cells’ attachment and ECM formation

Morphology and Mechanical Properties

The SEM micrographs in Figs. 5(b and c) show the behavior of hOB cells on the PCL/in situ HAPclay scaffolds for a cell culture period of 28 days. The hOB cells grown on these scaffolds showed attachment, spreading, and the formation of mineralized ECM. These images indicate that the PCL/in situ HAPclay scaffolds used in this study are biocompatible and have the potential for bone tissue regeneration.
Due to their complex structure, the biomaterials have shown different mechanical properties in dry and wet conditions (Ribeiro-Samy et al. 2008; Sobral et al. 2011). It has been reported that the mechanical properties of the biological materials decrease with an increase in temperature (Verma et al. 2015; Verma and Tomar 2014). Therefore, to understand the mechanical properties of the hOB cells–seeded PCL/in situ HAPclay scaffolds, the compressive tests were carried out in the wet condition. During the compression testing, scaffolds were soaked with cell culture medium at room temperature. Fig. 6(a) shows the stress–strain plot of the seeded scaffolds. Fig. 6(a) indicates that the compressive mechanical properties of seeded scaffolds increased with time. The increase in mechanical properties indicated the progressive (healing) effect of the hOB cells on the PCL/in situ HAPclay scaffolds.
Fig. 6. (a) Compressive mechanical properties of PCL/in situ HAPclay scaffolds seeded with hOB cells (days 4, 7, 18, and 28). The compressive mechanical properties of PCL/in situ HAPclay scaffolds increase with cell culture time; (b) mechanical property degradation (D) of PCL/in situ HAPclay scaffolds seeded with hOB cells; decreased degradation over time indicates improvement in mechanical properties due to cell growth and tissue formation; (c) calculation of critical parameters for degradation function (D); (d) model verification: experimental compressive stress–strain curve of PCL/in situ HAPclay scaffolds seeded with hOB cells at 7 days and compared to the model-predicted compressive stress–strain curve

Analytical Model Approach and Parameter Determination

Similar to the mechanical degradation model of the PCL/in situ HAPclay in 0.1M NaOH, the authors have proposed an analytical model of PCL/in situ HAPclay seeded with hOB cells. For hOB cells culture studies, the RI is unseeded scaffolds, and the FA is fully seeded scaffolds. The degradation, D, of the PCL/in situ HAPclay scaffolds seeded with hOB cells at days 4, 18, and 28 were obtained from compression test results [Fig. 6(a)]. The day 7 data as not used for parameter determination; it was used subsequently for validation. The values of D were calculated using Eq. (1), as shown in Fig. 6(b). The D values were found to decrease with time, indicating the improved mechanical properties that the authors refer to as healing. Parameters A and z were obtained from Fig. 6(c) using Eq. (5). The value of A is 1.9644 and the value of z is 0.4786 for the analytical model of scaffolds seeded with hOB cells. Therefore, for the hOB cells culture studies of the PCL/in situ HAPclay scaffolds, the mechanical degradation function, D, can be written
D=1exp(1.9644t0.4786)
(8)

Validation of Model

To validate the analytical model of the PCL/in situ HAPclay scaffolds seeded with hOB cells, the authors compared the stress–strain response and the strain energy density (at 5 and 10%) of the experimental compression tests obtained at day 7 with the predicted stress–strain response calculated using Eq. (8). The stress–strain response comparison is plotted in Fig. 6(d). Table 2 presents the comparison of the strain energy density, at 5 and 10% strains, predicted from the model and the compression test result. The difference of the strain energy density, at 5 and 10% strains, calculated from the model and the compression tests is 4.14 and 1.58%, respectively. It is evident from Fig. 6(d) and Table 2 that the proposed analytical model [Eq. (8)] exhibits a good prediction of the mechanical behavior of the PCL/in situ HAPclay scaffolds seeded with hOB cells.
Table 2. Verification of Degradation Function (D)
Strain (%)Strain energy (exp) (Pa)Strain energy (predicted) (Pa)Difference (%)
59399794.14
102,8502,8051.58

Note: Comparison of strain energy between predicted and experiment data at 7 days.

Integrative Multiscale Model

The integrative FE analysis simulations were performed to predict the mechanical behavior of the PCL/in situ HAPclay scaffold in critical size bone defects with time in accelerated degradation (0.1 M NaOH) and hOB cells–seeded conditions. The authors constructed an FE model of a solid cylinder, 4 cm in diameter and 2.82 cm in height, to represent a critical bone defect. The details about the model and simulations are presented in the preceding sections on the materials and methods; the model is shown in Fig. 7(a). Each element of the multiscale integrative model [Fig. 7(a)] used in this study was a representative model of the PCL/in situ HAPclay scaffold [Fig. 1(c)] and thus represented the microstructure and material properties of the PCL/in situ HAPclay scaffold. The mechanical behavior of the scaffold evolved because of accelerated degradation and the interactions with the hOB cells. To obtain the time-dependent response of the critical bone defect implant model using the integrative FE model, the following approach was used: (1) the authors introduced the stress–strain response of the predicted FE model of the PCL/in situ HAPclay scaffolds as the materials response of the critical defect intact scaffold model material; and (2) to model the time dependent response, the degradation function D from Eq. (6) is introduced in Eq. (7) for accelerated degradation simulations and degradation function D from Eq. (8) is introduced in Eq. (7) for the hOB cell-seeded samples simulations. The results from the multiscale integrative simulations of the accelerated degradation and the hOB cells-seeded implant scaffold in critical size bone defects are presented in Figs. 7(b and c), respectively.
Fig. 7. (a) Finite element model of PCL/in situ HAPclay scaffold critical size defect model; (b) evolution of mechanical behavior: integrative finite element analysis of PCL/in situ HAPclay implant scaffold in critical size bone defects for undegraded (control) and degraded (days 1, 5, 7, 14, and 18) in alkaline condition (0.1M NaOH); (c) the sequence of images shows the time-dependent (days 1, 5, 7, 14, and 18) deformation profiles of the integrative FE model under the same vertical stress for accelerated degradation condition; (d) evolution of mechanical properties of hOB cells seeded scaffolds with time (days 4, 7, 18, and 28); (e) the sequence of images shows the time-dependent deformation profiles of the integrative FE model under the same vertical stress for hOB cells–seeded condition
Fig. 7(b) shows the stress–strain response obtained from the FE simulations for the critical bone defect implant model at various days of soaking at accelerated degradation conditions. The figure shows that the stress–strain response degrades with time, as expected and as observed in this experimental work. Fig. 7(c) shows the stress–strain response obtained from the FE simulations on the hOB-seeded critical bone defect implant model with time. The mechanical properties of the cell-tissue scaffold implant improve with time. Figs. 7(b and c) show the time-dependent deformation profiles of the FE model in different degradation conditions. The same axial stress was applied to compare these deformation profiles.

Discussion

A simulation-based materials and scaffold design, along with the ability to fabricate geometrically accurate implantable scaffolds, would allow the personalization of tissue engineering for patients. In the current study, the authors have demonstrated the computational multiscale mechanics approach that bridges the molecular scale and microstructure of the scaffold to the macroscale response. The introduction of a new degradation mechanics modeling framework allows accurate prediction of the mechanical response of the scaffold over time. This approach can potentially be used to reverse engineer the microstructure and the nanocomposite material to achieve the desired macroscale response.
This group’s prior and current work show that the PCL/in situ HAPclay nanocomposite material is suitable for application to bone tissue engineering. SEM micrographs of the PCL/in situ HAPclay scaffold (Fig. 2) show a highly porous and interconnected microstructure. It is widely reported that the macropores sized 100–300 μm support cell migration, proliferation, and bone formation, whereas the micropores sized <10  μm enhance the apatite formation and protein adsorption. This group’s prior study suggested that this kind of porous and interconnected microstructure is suitable for hMSCs differentiation, proliferation, and bone formation (Ambre et al. 2015).

Finite Element Analysis of PCL/In Situ HAPclay Scaffolds

Because of the highly complex and hierarchically organized nature of biological materials, the standard protocols for using the specific mechanical properties of materials such as Young’s modulus in mechanics models are not fully capable of capturing the mechanical behavior evolution of biological materials (Hellmich and Katti 2015). In the current work, a truly computational multiscale approach was demonstrated to predict the mechanical property evolution in biomaterials. The entire stress–strain material response was used rather than only the elastic modulus usually used in the literature. The authors constructed a representative FE model of the PCL/in situ HAPclay scaffold by accurately incorporating the real microstructure from a representative volume of the scaffold cylinder, using high-resolution μCT, and transforming the 3D image to FE models using the μCT-FE technique. The stress–strain response obtained from the steered molecular dynamics (SMD) simulations (Sharma et al. 2015) provided the material response in the FE analysis of the PCL/in situ HAPclay representative scaffold models. The 3D reconstructed FE model [Fig. 1(c)] contains the high porosity and pore interconnectivity in the PCL/in situ HAPclay observed in the μCT images. A significant portion of the pores is in the size range of 100–300 μm. The micropores in the scaffold walls (10–30 μm or smaller) could not be identified due to the limitation of the μCT resolution. Thus, the tetrahedral element mesh obtained from the μCT does not contain the micropores in the scaffold walls observed in the SEM images. The absence of the scaffold wall porosity in the FE analysis led to the overestimation of the stress–strain responses predicted from the FE simulations. The effect of wall porosity on the mechanical response of the scaffold was incorporated by introducing a reduction factor, K. The reduction factor, which considers the wall porosity, was calculated from the SEM imaging of the scaffolds. The FE model of the PCL/in situ HAPclay scaffold developed in this study was validated by comparing the results of the stress–strain responses of the scaffolds that were calculated with the compression test experiments on the scaffolds with the results of the FE simulation. The FE simulation results, which incorporate the nanocomposite mechanical properties obtained from the SMD simulations, compare well with an experimentally observed response [Fig. 2(d)].

Effect of Accelerated Degradation on PCL/In Situ HAPclay Scaffolds

The PCL polymer is known for its slow degradation rate (3–4 years) (Gunatillake and Adhikari 2003; Lam et al. 2008). Thus, alkaline conditions are often used as a catalytic substance to accelerate the hydrolytic degradation of PCL to allow study of the degradation mechanism in a short period of time. Fig. 3 shows the stress–strain curves obtained from compression tests of the PCL/in situ HAPclay scaffolds degraded in an accelerated condition (0.1M NaOH). The mechanical properties of the PCL/in situ HAPclay scaffolds decreased gradually for the first 5 days, and then a higher rate of change was observed to day 18. It has been reported that the inclusion of organomodified nanoclay particles disrupts the crystallinity of polymer nanocomposites (Sikdar et al. 2007, 2008a) and the presence of calcium phosphate–based nanoparticles affects the arrangement of polymer chains (Lam et al. 2008), and the presence of nanoclay and HAP could potentially impact degradation rates.

Effect of Human Osteoblast Cells on PCL/In Situ HAPclay Scaffolds

Figs. 5(a and b) show the SEM micrographs of the PCL/in situ HAPclay scaffolds containing proliferating hOB cells at 28 days. The hOB cells show good adhesion to the PCL/in situ HAPclay scaffolds and appear to have flat and rounded morphology. It was also observed that the attached hOB cells support the formation of mineralized ECM on the seeded scaffolds at 28 days. The proliferation of hOB cells on the PCL/in situ HAPclay scaffolds was evaluated at 4, 7, 18, and 28 days of in vitro cell culture. Fig. 5(a) shows that the number of live hOB cells increased over a period of 28 days. The results revealed that the proliferation of hOB cells significantly increased at 28 days compared with their proliferation at 4 days. The increased proliferation of hOB cells on the PCL/in situ HAPclay scaffolds with time indicated their ability to support the mineralization and formation of bone nodules. The SEM images and the proliferation study results revealed that the hOB cells could thrive and proliferate on the PCL/in situ HAPclay scaffolds. Similarly, this group’s previous studies of in situ HAPclay–containing polymer composite scaffolds showed enhanced cell adhesion and proliferation when seeded with hOB cells and hMSCs (Ambre et al. 2011; Katti et al. 2015a). The increase in mechanical properties of the seeded scaffolds corresponds to the increase in the cell proliferation on the scaffolds.

Analytical Modeling of PCl/In Situ HAPclay Scaffolds Degradation

The polymer scaffolds can be designed to mimic the bone hierarchy with an appropriate porous microenvironment and adequate mechanical properties for cell adherence, proliferation, and subsequent tissue formation. However, the prediction of the time-dependent mechanical behavior of the polymer nanocomposite scaffolds during degradation and tissue regeneration is still a major challenge in bone tissue regeneration. Several material-degradation models are available for predicting the degradation of polymers. The authors developed damage mechanics–based degradation models of the PCL/in situ HAPclay scaffolds to predict the mechanical behavior during accelerated degradation and with hOB cells over time. The authors used the change in strain energy density to calculate the experiment degradation (D) values. The strain energy density calculations allowed capture of the complete mechanical response of the scaffolds to the predetermined strain. As shown by their respective stress–strain profiles [Figs. 3 and 6(a)], the D values increased with time for the accelerated degradation and decreased with time when the hOB cells were introduced in the scaffolds. The parameters A and z were calculated from experiments and used in the analytical models. Both analytical models were validated using experimental data that were not used in the calculation of the degradation functions. Fig. 4(c) presents the validation of an analytical model for the degradation studies, and Fig. 6(d) presents the validation of an analytical model for the hOB cell culture studies. It appeared that in both cases, the stress–strain response from the model and from the experiments had a good correlation. Similarly, Tables 1 and 2 show that the strain energy density comparison between the model and the experiments showed a good agreement. The parameters of such analytical models are relatively easy to obtain.

Finite Element Modeling of Implant Scale PCL/In Situ HAPclay Scaffold in Critical Size Bone Defects

The authors developed an integrative multiscale model to predict the time-dependent mechanical behavior in an implant scale PCL/in situ HAPclay scaffold for critical size bone defects. A solid cylindrical FE model [Fig. 7(a)] was considered as a representative of an implanted scaffold. The microstructure and time-dependent material properties of the PCL/in situ HAPclay scaffold were captured in this model by introducing the mechanical response from the FE model of the PCL/in situ HAPclay representative scaffolds [Fig. 2(d)] and the mechanical degradation function values, D [Eqs. (6) and (8)] in Eq. (7). The materials properties of the representative scaffolds were obtained from steered molecular dynamics simulations of the nanocomposite. The simulation results in Figs. 7(b and c) show that the time dependence of mechanical properties during the accelerated degradation and the hOB cells culture studies was similar to that exhibited by the experimental compression test results. This indicates that the multiscale mechanics approach presented in the current work can be applied to predict the mechanical behavior of implant scaffolds in critical size bone defects.

Conclusions

In this work, a new computational multiscale mechanics approach bridging the molecular scale to the macroscale was developed to allow prediction of the evolution of the mechanical properties of PCL/in situ HAPclay scaffolds during degradation and during the growth and proliferation of hOB cells and the formation of ECM. This approach allows the selection of constituents in the nanocomposite using MD simulations. The mechanical response of the nanocomposite is obtained using SMD simulations. Representative FE models of scaffolds are constructed, and the material properties from the SMD are introduced to obtain the mechanical response of the representative scaffold structure. A new reduction factor, which takes into account the wall porosities (obtained from SEM images) that have sizes below μCT imaging resolution, is developed and implemented. A damage mechanics–based modeling approach based on the use of strain energy density to calculate mechanical degradation is developed to allow the accurate prediction of the mechanical response of the scaffolds with time. This approach allows the capture of the scaffold degradation during the accelerated degradation as well as the improved mechanical properties, or healing, of cell-seeded scaffolds. The mechanical response obtained from the multiscale modeling of the representative scaffold along with the degradation model can be introduced into the implant scale FE model of the scaffold at great computational cost savings, because the mechanical properties introduced in the FE model include the microstructural and the molecular scale information without introducing the complex microstructure in the FE model of the critical size implant. This approach can be used to reverse engineer the scaffold microstructure and the nanocomposite constituents to achieve the desired properties at the implant scale of the scaffold.
The multiscale mechanics study presented in this paper demonstrates a unique in silico approach to the design of biodegradable, biocompatible polymer nanocomposite scaffolds with predictable time-dependent mechanical behavior for bone tissue regeneration applications. Because of its computational advantages, this approach can also be used for the patient-specific optimization of bone tissue regeneration applications.

Acknowledgments

The authors acknowledge the NDSU Center for Computationally Assisted Science and Technology (CCAST) computational resources (NSF MRI No. 1229316) used in this work.

Disclaimer

No animals have been used in the study. Appropriate Institutional committee approvals (IBC-NDSU) have been obtained for the use of the human cell lines used in this study.

References

3-Matic version 20 [Computer software]. Materialise, Inc., Leuven, Belgium.
Ambre, A., Katti, K. S., and Katti, D. R. (2011). “In situ mineralized hydroxyapatite on amino acid modified nanoclays as novel bone biomaterials.” Mater. Sci. Eng. C, 31(5), 1017–1029.
Ambre, A. H., Katti, D. R., and Katti, K. S. (2015). “Biomineralized hydroxyapatite nanoclay composite scaffolds with polycaprolactone for stem cell-based bone tissue engineering.” J. Biomed. Mater. Res. A, 103(6), 2077–2101.
Bawolin, N., Li, M., Chen, X., and Zhang, W. (2010). “Modeling material-degradation-induced elastic property of tissue engineering scaffolds.” J. Biomech. Eng., 132(11), 111001.
Bhowmik, R., Katti, K. S., and Katti, D. R. (2009). “Molecular interactions of degradable and non-degradable polymers with hydroxyapatite influence mechanics of polymer-hydroxyapatite nanocomposite biomaterials.” Int. J. Nanotechnol., 6(5), 511–529.
Bluehill version 2 [Computer software]. Instron, Inc., Norwood, MA.
Cartmell, J. S., and Dunn, M. G. (2004). “Development of cell-seeded patellar tendon allografts for anterior cruciate ligament reconstruction.” Tissue Eng., 10(7–8), 1065–1075.
Cell Proliferation Reagent WST-1. (2011). “Colorimetric assay (WST-1 based) for the nonradioactive quantification of cell proliferation, cell viability, and cytotoxicity.”⟨http://www.sigmaaldrich.com/content/dam/sigma-aldrich/docs/Roche/Bulletin/1/cellprorobul.pdf⟩ (Feb. 2011).
Dash, T. K., and Konkimalla, V. B. (2012). “Poly-ε-caprolactone based formulations for drug delivery and tissue engineering: A review.” J. Controlled Release, 158(1), 15–33.
datos|x version 2.2 [Computer software]. General Electric, Boston.
Desai, C. (1974). “A consistent finite element technique for work-softening behavior.” Proc., Int. Conf. on Computational Methods in Nonlinear Mechanics, Univ. of Texas, Austin, TX.
Díaz, E., Sandonis, I., and Valle, M. B. (2014). “In vitro degradation of poly (caprolactone)/nHA composites.” J. Nanomater., 2014, 1–8.
Fernyhough, J. C., Schimandle, J. J., Weigel, M. C., Edwards, C. C., and Levine, A. M. (1992). “Chronic donor site pain complicating bone graft harvesting from the posterior iliac crest for spinal fusion.” Spine, 17(12), 1474–1480.
Gunatillake, P. A., and Adhikari, R. (2003). “Biodegradable synthetic polymers for tissue engineering.” Eur. Cell Mater., 5(1), 1–16.
Heljak, M. K., Swieszkowski, W., and Kurzydlowski, K. J. (2014). “Modeling of the degradation kinetics of biodegradable scaffolds: The effects of the environmental conditions.” J. Appl. Polym. Sci., 131(11), 1–7.
Hellmich, C., Dejaco, A., and Scheiner, S. (2012). “Keynote: Multiscale mechanics and mechano-biology for bone and bone tissue engineering.” J. Tissue Eng. Regener. Med., 6, 389.
Hellmich, C., and Katti, D. (2015). “Multiscale mechanics of biological, bioinspired, and biomedical materials.” MRS Bull., 40(4), 309–313.
Hollister, S. J. (2005). “Porous scaffold design for tissue engineering.” Nat. Mater., 4(7), 518–524.
Jaecques, S., et al. (2004). “Individualised, micro CT-based finite element modelling as a tool for biomechanical analysis related to tissue engineering of bone.” Biomaterials, 25(9), 1683–1696.
Jones, J. R., Lee, P. D., and Hench, L. L. (2006). “Hierarchical porous materials for tissue engineering.” Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 364(1838), 263–281.
Katti, D. R., and Desai, C. S. (1995). “Modeling and testing of cohesive soil using disturbed-state concept.” J. Eng. Mech., 648–658.
Katti, D. R., Ghosh, P., Schmidt, S., and Katti, K. S. (2005). “Mechanical properties of the sodium montmorillonite interlayer intercalated with amino acids.” Biomacromolecules, 6(6), 3276–3282.
Katti, D. R., Sharma, A., Ambre, A. H., and Katti, K. S. (2015a). “Molecular interactions in biomineralized hydroxyapatite amino acid modified nanoclay: In silico design of bone biomaterials.” Mater. Sci. Eng. C, 46, 207–217.
Katti, D. R., Sharma, A., and Katti, K. S. (2017). “Predictive methodologies for design of bone tissue engineering scaffolds.” Materials for bone disorders, Academic Press, Cambridge, MA, 453–492.
Katti, K. S., Ambre, A. H., Payne, S., and Katti, D. R. (2015b). “Vesicular delivery of crystalline calcium minerals to ECM in biomineralized nanoclay composites.” Mater. Res. Express, 2(4), 045401.
Katti, K. S., Ambre, A. H., Peterka, N., and Katti, D. R. (2010). “Use of unnatural amino acids for design of novel organomodified clays as components of nanocomposite biomaterials.” Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 368(1917), 1963–1980.
Katti, K. S., Katti, D. R., and Dash, R. (2008). “Synthesis and characterization of a novel chitosan/montmorillonite/hydroxyapatite nanocomposite for bone tissue engineering.” Biomed. Mater., 3(3), 034122.
Katti, K. S., Sikdar, D., Katti, D. R., Ghosh, P., and Verma, D. (2006). “Molecular interactions in intercalated organically modified clay and clay-polycaprolactam nanocomposites: Experiments and modeling.” Polymer, 47(1), 403–414.
Keating, J., Simpson, A., and Robinson, C. (2005). “The management of fractures with bone loss.” J Bone Joint Surg. Am., 87(2), 142–150.
Khanna, R., Katti, K. S., and Katti, D. R. (2011). “Bone nodules on chitosan-polygalacturonic acid-hydroxyapatite nanocomposite films mimic hierarchy of natural bone.” Acta Biomater., 7(3), 1173–1183.
Kim, D. H., et al. (2009). “Prospective study of iliac crest bone graft harvest site pain and morbidity.” Spine J., 9(11), 886–892.
Kumari, A., Yadav, S. K., and Yadav, S. C. (2010). “Biodegradable polymeric nanoparticles based drug delivery systems.” Colloids Surf. B Biointerfaces, 75(1), 1–18.
Kurz, L. T., Garfin, S. R., and Booth, Jr., R. E. (1989). “Harvesting autogenous iliac bone grafts: A review of complications and techniques.” Spine, 14(12), 1324–1331.
Kwak, C., Park, I., and Park, J. (2013). “Evaluation of disturbance function for geosynthetic-soil interface considering chemical reactions based on cyclic direct shear tests.” Soils Found., 53(5), 720–734.
Kwak, C., Park, I., and Park, J. (2014). “Chemical and cyclic degradation of geosynthetic-soil interface.” Asian J. Chem., 26(17), 5535.
Lacroix, D., Chateau, A., Ginebra, M.-P., and Planell, J. A. (2006). “Micro-finite element models of bone tissue-engineering scaffolds.” Biomaterials, 27(30), 5326–5334.
Lacroix, D., Planell, J. A., and Prendergast, P. J. (2009). “Computer-aided design and finite-element modelling of biomaterial scaffolds for bone tissue engineering.” Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 367(1895), 1993–2009.
Lam, C. X., Hutmacher, D. W., Schantz, J. T., Woodruff, M. A., and Teoh, S. H. (2009). “Evaluation of polycaprolactone scaffold degradation for 6 months in vitro and in vivo.” J. Biomed. Mater. Res. A, 90(3), 906–919.
Lam, C. X., Savalani, M. M., Teoh, S.-H., and Hutmacher, D. W. (2008). “Dynamics of in vitro polymer degradation of polycaprolactone-based scaffolds: Accelerated versus simulated physiological conditions.” Biomed. Mater., 3(3), 034108.
Li, X., Wang, L., Fan, Y., Feng, Q., Cui, F. Z., and Watari, F. (2013). “Nanostructured scaffolds for bone tissue engineering.” J. Biomed. Mater. Res. A, 101(8), 2424–2435.
Lohfeld, S., et al. (2012). “Fabrication, mechanical and in vivo performance of polycaprolactone/tricalcium phosphate composite scaffolds.” Acta Biomater., 8(9), 3446–3456.
Lohfeld, S., Cahill, S., Doyle, H., and McHugh, P. (2015). “Improving the finite element model accuracy of tissue engineering scaffolds produced by selective laser sintering.” J. Mater. Sci. Mater. Med., 26(1), 1–12.
Lyons, F. G., Gleeson, J. P., Partap, S., Coghlan, K., and O’Brien, F. J. (2014). “Novel microhydroxyapatite particles in a collagen scaffold: A bioactive bone void filler?” Clin. Orthopaedics Related Res., 472(4), 1318–1328.
Marc version 13.0 [Computer software]. MSC Software, Newport Beach, CA.
Mentat version 13.0 [Computer software]. MSC Software, Newport Beach, CA.
Mimics version 20 [Computer software]. Materialise, Inc., Leuven, Belgium.
MINITAB version 16 [Computer software]. Minitab, Inc., State College, PA.
Müller, R., and Rüegsegger, P. (1995). “Three-dimensional finite element modelling of non-invasively assessed trabecular bone structures.” Medical Eng. Phys., 17(2), 126–133.
Murugan, R., and Ramakrishna, S. (2005). “Development of nanocomposites for bone grafting.” Compos. Sci. Technol., 65(15), 2385–2406.
Nair, L. S., and Laurencin, C. T. (2007). “Biodegradable polymers as biomaterials.” Prog. Polym. Sci., 32(8–9), 762–798.
Okada, A., et al. (1990). “Polymer based molecular composites.” Material Research Society Symp. Proc., D. W. Schaefer and J. E. Mark, eds., Vol. 171, Materials Research Society, Warrendale, PA, 45–50.
Okada, M. (2002). “Chemical syntheses of biodegradable polymers.” Prog. Polym. Sci., 27(1), 87–133.
Pektok, E., et al. (2008). “Degradation and healing characteristics of small-diameter poly (ε-caprolactone) vascular grafts in the rat systemic arterial circulation.” Circulation, 118(24), 2563–2570.
Perron, J. K., Naguib, H. E., Daka, J., Chawla, A., and Wilkins, R. (2009). “A study on the effect of degradation media on the physical and mechanical properties of porous PLGA 85/15 scaffolds.” J. Biomed. Mater. Res. Part B Appl. Biomater., 91(2), 876–886.
Petit, C., Meille, S., and Maire, E. (2013). “Cellular solids studied by x-ray tomography and finite element modeling—A review.” J. Mater. Res., 28(17), 2191–2201.
Picard, E., Vermogen, A., Gérard, J. F., and Espuche, E. (2007). “Barrier properties of nylon 6-montmorillonite nanocomposite membranes prepared by melt blending: Influence of the clay content and dispersion state: Consequences on modelling.” J. Membr. Sci., 292(1), 133–144.
Raabe, D., Sander, B., Friák, M., Ma, D., and Neugebauer, J. (2007). “Theory-guided bottom-up design of β-titanium alloys as biomaterials based on first principles calculations: Theory and experiments.” Acta Mater., 55(13), 4475–4487.
Ren, L.-M., Arahira, T., Todo, M., Yoshikawa, H., and Myoui, A. (2012). “Biomechanical evaluation of porous bioactive ceramics after implantation: Micro CT-based three-dimensional finite element analysis.” J. Mater. Sci. Mater. Med., 23(2), 463–472.
Ribeiro-Samy, S., et al. (2008). “Hydroxyapatite-reinforced polymer biocomposites for synthetic bone substitutes.” JOM, 60(3), 38–45.
Roeder, R. K., Converse, G. L., Kane, R. J., and Yue, W. (2008). “Hydroxyapatite-reinforced polymer biocomposites for synthetic bone substitutes.” Jom, 60(3), 38–45.
Rothstein, S. N., Federspiel, W. J., and Little, S. R. (2009). “A unified mathematical model for the prediction of controlled release from surface and bulk eroding polymer matrices.” Biomaterials, 30(8), 1657–1664.
Saadatfar, M., Arns, C. H., Knackstedt, M. A., and Senden, T. (2005). “Mechanical and transport properties of polymeric foams derived from 3D images.” Colloids Surf. A Physicochem. Eng. Aspects, 263(1), 284–289.
Sandino, C., Planell, J., and Lacroix, D. (2008). “A finite element study of mechanical stimuli in scaffolds for bone tissue engineering.” J. Biomech., 41(5), 1005–1014.
Sharma, A., Payne, S., Katti, K. S., and Katti, D. R. (2015). “Evaluating molecular interactions in polycaprolactone-biomineralized hydroxyapatite nanocomposites using steered molecular dynamics.” JOM, 67(4), 733–743.
Shim, S. V., Cornish, C. J., Llyod, L. D., and Hunter, H. P. (2012). “A multiscale computational model of tendon to characterize the optimum microenvironment for tissue engineering.” J. Tissue Eng. Reg. Med., 6(10), e51–e60.
Shor, L., Guceri, S., Wen, X. J., Gandhi, M., and Sun, W. (2007). “Fabrication of three-dimensional polycaprolactone/hydroxyapatite tissue scaffolds and osteoblast-scaffold interactions in vitro.” Biomaterials, 28(35), 5291–5297.
Sikdar, D., Katti, D., Katti, K., and Mohanty, B. (2007). “Effect of organic modifiers on dynamic and static nanomechanical properties and crystallinity of intercalated clay-polycaprolactam nanocomposites.” J. Appl. Polym. Sci., 105(2), 790–802.
Sikdar, D., Katti, D. R., and Katti, K. S. (2008a). “The role of interfacial interactions on the crystallinity and nanomechanical properties of clay-polymer nanocomposites: A molecular dynamics study.” J. Appl. Polym. Sci., 107(5), 3137–3148.
Sikdar, D., Pradhan, S. M., Katti, D. R., Katti, K. S., and Mohanty, B. (2008b). “Altered phase model for polymer clay nanocomposites.” Langmuir, 24(10), 5599–5607.
Singh, R., et al. (2010). “Characterization of the deformation behavior of intermediate porosity interconnected Ti foams using micro-computed tomography and direct finite element modeling.” Acta Biomater., 6(6), 2342–2351.
Sobral, J. M., Caridade, S. G., Sousa, R. A., Mano, J. F., and Reis, R. L. (2011). “Three-dimensional plotted scaffolds with controlled pore size gradients: Effect of scaffold geometry on mechanical performance and cell seeding efficiency.” Acta Biomater., 7(3), 1009–1018.
Sun, X., Kang, Y., Bao, J., Zhang, Y., Yang, Y., and Zhou, X. (2013). “Modeling vascularized bone regeneration within a porous biodegradable CaP scaffold loaded with growth factors.” Biomaterials, 34(21), 4971–4981.
Torchilin, V. P. (2001). “Structure and design of polymeric surfactant-based drug delivery systems.” J. Control. Release, 73(2), 137–172.
Verhulp, E., Van Rietbergen, B., Müller, R., and Huiskes, R. (2008). “Micro-finite element simulation of trabecular-bone post-yield behaviour-effects of material model, element size and type.” Comput Methods Biomech. Biomed. Eng., 11(4), 389–395.
Verma, D., Katti, K., and Katti, D. (2006). “Experimental investigation of interfaces in hydroxyapatite/polyacrylic acid/polycaprolactone composites using photoacoustic FTIR spectroscopy.” J. Biomed. Mater. Res. A, 77(1), 59–66.
Verma, D., Katti, K. S., and Katti, D. R. (2010). “Osteoblast adhesion, proliferation and growth on polyelectrolyte complex-hydroxyapatite nanocomposites.” Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 368(1917), 2083–2097.
Verma, D., Qu, T., and Tomar, V. (2015). “Scale dependence of the mechanical properties and microstructure of crustaceans thin films as biomimetic materials.” JOM, 67(4), 858–866.
Verma, D., and Tomar, V. (2014). “An investigation into environment dependent nanomechanical properties of shallow water shrimp (Pandalus platyceros) exoskeleton.” Mater. Sci. Eng. C, 44, 371–379.
Wang, H., Li, Y., Zuo, Y., Li, J., Ma, S., and Cheng, L. (2007). “Biocompatibility and osteogenesis of biomimetic nano-hydroxyapatite/polyamide composite scaffolds for bone tissue engineering.” Biomaterials, 28(22), 3338–3348.
Woodruff, M. A., and Hutmacher, D. W. (2010). “The return of a forgotten polymer—Polycaprolactone in the 21st century.” Prog. Polym. Sci., 35(10), 1217–1256.
Wu, F. T., Stefanini, M. O., Mac Gabhann, F., Kontos, C. D., Annex, B. H., and Popel, A. S. (2010). “VEGF and soluble VEGF receptor-1 (sFlt-1) distributions in peripheral arterial disease: An in silico model.” Am. J. Physiol. Heart Circulatory Physiol., 298(6), H2174–H2191.
Yeo, A., Rai, B., Sju, E., Cheong, J., and Teoh, S. (2008). “The degradation profile of novel, bioresorbable PCL-TCP scaffolds: An in vitro and in vivo study.” J. Biomed. Mater. Res. A, 84(1), 208–218.
Yoshimoto, H., Shin, Y. M., Terai, H., and Vacanti, J. P. (2003). “A biodegradable nanofiber scaffold by electrospinning and its potential for bone tissue engineering.” Biomaterials, 24(12), 2077–2082.

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Go to Journal of Nanomechanics and Micromechanics
Journal of Nanomechanics and Micromechanics
Volume 7Issue 4December 2017

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Received: Jul 27, 2016
Accepted: Apr 13, 2017
Published online: Sep 29, 2017
Published in print: Dec 1, 2017
Discussion open until: Feb 28, 2018

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Anurag Sharma, Ph.D.
Graduate Student, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58108.
MD Shahjahan Molla
Graduate Student, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58108.
Kalpana S. Katti, Ph.D., M.ASCE
University Distinguished Professor, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58108.
Dinesh R. Katti, Ph.D., M.ASCE [email protected]
P.E.
Professor, Dept. of Civil and Environmental Engineering, North Dakota State Univ., Fargo, ND 58108 (corresponding author). E-mail: [email protected]

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