Skip to main content

ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol., 26 October 2021
Sec. Biomaterials
Volume 9 - 2021 | https://doi.org/10.3389/fbioe.2021.691834

Degradation of 3D-Printed Porous Polylactic Acid Scaffolds Under Mechanical Stimulus

  • 1School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
  • 2State Key Laboratory of Pharmaceutical Biotechnology, Department of Sports Medicine and Adult Reconstructive Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
  • 3School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia

Polylactic acid (PLA) is a biodegradable polymer commonly used as a scaffold material to repair tissue defects, and its degradation is associated with mechanical stimulus. In this study, the effect of mechanical stimulus on the degradation of 3D-printed PLA scaffolds was investigated by in vitro experiments and an author-developed numerical model. Forty-five samples with porosity 64.8% were printed to carry out the degradation experiment within 90 days. Statistical analyses of the mass, volume fraction, Young’s modulus, and number average molecular weight were made, and the in vitro experiments were further used to verify the proposed numerical model of the scaffold degradation. The results indicated that the mechanical stimulus accelerated the degradation of the PLA scaffold, and the higher mechanical stimulus led to a faster degradation of the scaffolds at the late stage of the degradation process. In addition, the Young’s modulus and the normalized number average molecular weight of the PLA scaffolds between the experiments and the numerical simulations were comparable, especially for the number average molecular weight. The present study could be helpful in the design of the biodegradable PLA scaffolds.

Introduction

Bone tissue engineering (BTE) offers a promising strategy of healing bone defects to restore their functions by utilizing the body’s natural biological response to tissue damage in conjunction with engineering principles (Amini et al., 2012). Biodegradable scaffolds are generally considered as attractive elements to provide temporary mechanical and biological supports which can facilitate regulating cell behaviors to conduct the defected bone repairment (Hutmacher, 2000). It is well-accepted that during the bone repair process, the ideal scaffolds should have a matchable degradation rate to the bone formation rate (Cao and Kuboyama, 2010; Chen et al., 2014). Meanwhile, the ideal scaffolds should provide suitable mechanical support and ultimately degrade to non-toxic products (Hutmacher et al., 1996). Therefore, much attention has been given to biodegradable synthetic aliphatic polyesters (Rezwan et al., 2006), which has shown promise in the BTE field owing to their great biocompatibility and biodegradation (Chu et al., 1999).

Polylactic acid (PLA) is one of the most widely used polyesters in BTE for its biodegradation, mechanical properties, and easy-processing advantage. The PLA biodegradation rate is affected by many factors, including morphology, molecular weight, crystallinity, and environments (e.g., external mechanical stimuli, pH value, and temperature) (Reed and Gilding, 1981; Vert, 2005; Fan et al., 2008). It is worth mentioning that bone as a load-bearing organ has been shaped with excellent mechanical properties to bear mechanical loads induced by daily human activities. Thus, mechanical stimulus represents a crucial factor affecting the PLA degradation, and how the mechanical properties of PLA vary during the degradation of PLA scaffolds should be well revealed to understand the mechanically regulated bone recovery process. The influence of the mechanical stimulus on the PLA scaffold has already been studied in literatures (Fan et al., 2008; Li et al., 2017). However, most literature treated the effect of the mechanical stimulus on the degradation of bulk PLA materials instead of porous PLA scaffolds. Moreover, although many mathematical models have been proposed to describe the PLA degradation (Gopferich, 1996; Han and Pan, 2009; Chen et al., 2011; Sackett and Narasimhan, 2011; Shi et al., 2018), few studies verified the models by designing corresponding in vitro experiments and quantitively described the relationship between the mechanical stimulus and the PLA scaffold degradation.

To this end, we performed an in vitro 90-day degradation experiment to investigate the effect of the mechanical stimulus on the degradation of a 3D-printed porous scaffold. Correspondingly, a mathematical model was developed to describe the scaffold degradation as well. To imitate the in vivo environment, the scaffolds were subjected to two intermittent mechanical stimuli in the phosphate buffer saline (PBS) on the basis of the loading intensity during daily human activities. The mass, volume fraction, Young’s modulus, and number average molecular weight of the PLA scaffolds were measured during the entire in vitro degradation experiment. Moreover, the experimental and simulation results of the Young’s modulus and normalized number average molecular weight were compared. It might be stated that the mechanical stimulus–induced degradation framework of the porous scaffolds could be beneficial to the BTE scaffold design.

In vitro Experiment

Scaffold Preparation

The raw PLA filaments with diameter 1.75 ± 0.02 mm were purchased from a chemical enterprise (Huiwei, China). A fused deposition modeling–based 3D-printer with resolution 0.01 mm (Raise3D Pro2, China) was used to fabricate 45 PLA scaffolds with diameter and height 10 mm (see Figure 1A). The scaffolds shared a periodic structure with porosity 64.8%. The designed topological structure with a representative volume element (RVE) (Shui et al., 2019) is shown in Figure 1C.

FIGURE 1
www.frontiersin.org

FIGURE 1. The photo of a 3D-printed scaffold (A); the loading device used in the in vitro compressive experiment (B); the topological scaffold and its RVE (C); and diagram of the loading device (D).

Experimental Methods

In order to study the effect of the mechanical stimulus on the degradation of the 3D-printed PLA scaffolds, a loading device was custom-designed, as shown in Figure 1B. The device consisted of four parts: three springs, three screw rods with nuts, an upper plate for loading, and a bottom container, see Figure 1D. Adjusting the spring compression could control the mechanical stimulus level. In detail, the spring stiffness was first calibrated using a material testing machine (Instron 5943 Inc., United States), and then the applied load was calculated by multiplying the spring stiffness and the distance of screwing the nut along the screw rod. The loads generated by the spring compression and the plate weight were uniformly applied to the scaffolds in the container, which was filled with phosphate buffer saline (PBS, 1×, Hyclone, GE Healthcare, United States) to mimic the in vivo environment.

The fabricated 45 scaffolds were divided into two groups (21 in each group, and the rest 3 were shared by the two groups), and two compressive mechanical stimuli (i.e., 0.5 and 1.0 MPa) were respectively applied to the groups. It is worth mentioning that 3 of 21 scaffolds in each group were compressed for 3 h per day for 90 days by the corresponding stimulus in the air, and this aimed to eliminate the possibility of the scaffold failure due to the pure mechanical stimuli instead of the degradation in the PBS. The shared three samples by the two groups were tested for day 0, and the other 18 scaffolds in each group were immersed in PBS and also compressed for 3 h per day for 90 days. Every 15 days, three scaffolds were taken out and tested. The grouping strategy and scaffold distribution are illustrated in Table 1. In addition, the PBS solution was replaced every 2 days to maintain the pH value of the experimental environment, and the spring compression was adjusted after each scaffold was taken-out to maintain the constant mechanical stimuli (i.e., 0.5 and 1.0 MPa) on the rest of the immersed scaffolds. Four degradation indices including mass, volume fraction, Young’s modulus, and normalized number averaged molecular weight were characterized.

TABLE 1
www.frontiersin.org

TABLE 1. Grouping strategy and distribution of the 45 scaffolds.

Mass Measurement

The taken-out scaffolds were first dried in a drying oven (WGL-65B, Tianjin Taiste Instrument Co. Ltd., China) at 37°C for 48 h, and then weighed by a balance (FA1004N, Shanghai Minqiao Precision Scientific Instruments Co., Ltd., China) to determine the mass of the residual scaffolds.

μCT-Derived Volume Fraction

Micro-CT is an effective method to characterize the morphology of 3D-printed structures (Markl et al., 2017), and it was here used to characterize the morphological change and calculate the volume fraction of the degraded scaffolds. The vivaCT 80 system (SCANCO Medical AG, Switzerland) was first employed to examine the scaffolds with the operation parameters set at 55 keV, 145 μA, and 32 mm FOV with an integration time of 200 ms. The spatial resolution was 1,200 ppi, and there were around 500–600 slices for each scaffold. Then the micro-CT slices were imported into a piece of software to reconstruct the scaffolds by setting the minimum grey threshold value to 127 HU (Hounsfield unit) and the maximum to 255 HU. On the basis of the reconstructed scaffolds, the morphological changes of the scaffolds were characterized, and the volume fractions of the degraded scaffolds were calculated. Herein, the volume fraction of the scaffolds was expressed as SV/TV, where SV is the residual PLA volume and TV is the original scaffold volume.

Mechanical Test–Derived Young’s Modulus

After measuring the mass and calculating the volume fraction of the scaffolds, a single column mechanical testing machine (Instron 5943 Inc., United States) with loading capacity 10 kN and accuracy 0.01 N was used to test the compressive mechanical behavior of the scaffolds. All the scaffolds were compressed with quasi-static loads at the speed of 2 mm/min. The nominal stress and strain curves were recorded, which were used to calculate the Young’s modulus of the degraded scaffolds.

Calculation of the Normalized Number Average Molecular Weight

The number average molecular weight of the scaffolds was examined by a PL-GPC220 gel permeation chromatograph system (Agilent Technologies, United States). We weighed 6 mg of the fragmented scaffolds dissolved in tetrahydrofuran (THF) to get 2 ml solution with a concentration of 3 mg/ml as a preparation. The analysis was carried out at 40°C in a PLgel 5 μm MIXED-C 300 × 7.5 mm column, and THF was used as eluent with the flow rate set as 0.1 ml/min. Then the normalized number average molecular weight was calculated by Mn(t)/Mn(0), in which Mn(t) was the measured number average molecular weight at day t and Mn (0) ≈ 8 × 104 g/mol was the measured number average molecular weight of the scaffold at day 0.

Statistical Analysis

Four degradation indices were presented in the mean ± standard deviation. In order to analyze the intragroup significance between different time points and the intergroup significance between different mechanical stimuli, a one-way ANOVA test was performed on the four indices, and the p-value < 0.05 indicated a significant difference.

Numerical Simulation

Mathematical Model of PLA Degradation

A modified pseudo-first-order kinetics function was used to describe the normalized number average molecular weight β(t) of the constituent PLA [the ratio of Mn(t) and Mn (0) (Shi et al., 2018)]. Under the mechanical stimulus, β(t) was expressed as:

β(t)=Mn(t)Mn(0)=eλt,(1)

with

λ=λσλa,

where λσ and λa were degradation rates representing the effects of the mechanical stimulus and autocatalysis, respectively, and λσ was a modified Arrhenius function (Zhurkov and Korsukov, 1974; Li et al., 2017) as:

λσ=exp[a+(b1/RT)(E0ασ3)],(2)

where E0 was the initial activity energy of the PLA. a, b, and α were material-dependent parameters, σ was the magnitude of the mechanical stimulus, and T and R represented the Kelvin temperature and the molar gas constant, respectively. λa was expressed as:

λa=eCm,(3)

where Cm was the concentration of hydrolysates induced by the autocatalysis with Cm = 0 at day 0. The release-diffusion process of the hydrolysates was introduced by Fick’s second law (Chen et al., 2011) as:

Cmt=(D0eφ(1β(t))Cm)+S(t),(4)

where S(t) denoted the source of hydrolysates, D0 represented the initial diffusion coefficient of non-hydrolyzed constituent PLA, and φ is a material-dependent constant.

To judge whether a PLA scaffold element was completely degraded: on the one hand, we assumed that the element was completely degraded when β(t)thre was satisfied. On the other hand, considering the stochastic event of the hydrolysis-induced PLA chain breakage, the degradation probability density function p(t)=kekλt was applied, where k was a coefficient referring to the meshing density of the finite element model (Shi et al., 2018). If the degradation probability tt+dtp(t)dt was less than a randomly generated number from 0 to 1, then the element was assumed to be completely degraded.

The mechanical properties of the polymer were related to its number average molecular weight. The relationship between the Young’s modulus Es(t) and normalized number average molecular weight β(t) of the constituent PLA was expressed as:

Es(t)=Es+(EsEsolu9)[1-β-1(t)],(5)

where Esolu was the Young’s modulus of the PBS, which was treated as an incompressible solid.

Numerical Implementation of the Mechanical Degradation Model

To numerically study the periodic PLA scaffold degradation, the RVE of the scaffold in Figure 1C was treated in Abaqus (DS SIMULIA, United States) without loss of generality. The RVE was meshed into 8,000 elements (Figure 2), in which the green and blue elements represented the PLA and PBS, respectively. For each PLA element, the above degradation model was coded through subroutine in Abaqus (VUMAT) to mimic the degradation behavior of the PLA scaffold.

FIGURE 2
www.frontiersin.org

FIGURE 2. Loading diagram of the meshed RVE in the numerical simulation.

Consistent with the two mechanical stimuli in the in vitro experiments, a rigid plate was placed on the top of RVE, and two pressures (0.5 and 1.0 MPa) were perpendicularly applied on the plate (see Figure 2). Moreover, 90 cycles were simulated for the 90-days degradation process, each cycle represented the 3-h mechanical stimulus per day on the scaffold model. The input parameters in the simulation were listed in Table 2. The Young’s modulus and averaged normalized number average molecular weight were compared between the simulations and the in vitro experiments. It is worth mentioning that in the numerical simulation, β(t) of the degraded scaffolds varied from element to element, thus we calculated the averaged β(t) by dividing the sum of β(t) of all residual PLA elements by the number of the elements.

TABLE 2
www.frontiersin.org

TABLE 2. Input parameters for simulation.

Results and Discussion

Morphology, Mass, and Volume Fraction

The morphologies of the reconstructed scaffolds subjected to the two mechanical stimuli 0.5 and 1.0 MPa are shown in Figure 3. In the 0.5 MPa group, the scaffolds were reconstructed at six time points (Figure 3A), while in the 1.0 MPa group, there were only four reconstructed scaffolds at day 15, 30, 45, and 60 (Figure 3B) as scaffolds were crushed or fragmented at day 75 and 90. Moreover, the scaffolds in the two groups compressed in the air at day 90 were also reconstructed (Figure 3C). In detail, Figure 3 shows the weak morphological change of the scaffolds under the low mechanical stimulus (0.5 MPa) in the first 45 days. With the cycling stimulus, the curled bar at the top of the dried scaffold appears at day 60 (the indication of the arrow), and the top of the scaffolds starts fragmenting at day 75 (see the circled part), which attributes to the top-down loading method of in vitro experiments. The curl-up and fragment phenomena correspond to the morphology of the scaffolds under the high mechanical stimulus (1.0 MPa) at day 30 and 45, respectively. The morphological change illustrates that the bar curl-up of the scaffolds is the precursor of the failure, and the high mechanical stimulus accelerates the degradation process thus advances the scaffold failure. In addition, the scaffolds compressed in the air for 90 days are almost intact under the two mechanical stimuli. Compared to the failed scaffolds compressed in the PBS, this indicates that the scaffold failure indeed resulted from degradation in PBS instead of pure mechanical stimuli.

FIGURE 3
www.frontiersin.org

FIGURE 3. The μCT-based reconstructed scaffolds in the degradation experiment. (A) The degraded scaffolds in the 0.5 MPa group at day 15, 30, 45, 60, 75, and 90; (B) the degraded scaffolds in the 1.0 MPa group at day 15, 30, 45, and 60; and (C) the scaffolds compressed in the air in the 0.5 and 1.0 MPa groups.

The mass and volume fraction of the degraded scaffolds in the experiment are depicted in Figure 4. Generally, the mass of the scaffolds under the two mechanical stimuli fluctuates (see Figure 4A). The mass of the scaffolds varies similarly before day 60 (the insert of Figure 4A) but differently after day 60. Moreover, after day 60, the intragroup comparison of mass between different time points is significantly different in the 1.0 MPa group, which is different from that of the 0.5 MPa group. This might attribute to more fragments in the 1.0 MPa group, which increased the contact between the scaffold and PBS and led to the acceleration of the hydrolysis of the PLA. Plus, the fragmented scaffolds were subjected to high stress concentration, which also fostered the scaffold degradation. The intergroup comparison between the two mechanical stimuli was significantly different at day 75 and 90 (see Figure 4C).

FIGURE 4
www.frontiersin.org

FIGURE 4. Evolutions of the mass and volume fraction in the degradation experiment. (A) and (C) mass; (B) and (D) volume fraction. Scaffold number was three for each test (n = 3). The error bars show standard deviation. ANOVA tests were performed for statistical analysis. *,** in (A) and (B) indicates the intragroup significant difference between the current time point with respect to its previous time point; * in (C) and (D) indicates the intergroup significant difference between the low and high mechanical stimuli. ∗ indicates p < 0.05, ∗∗ indicates p < 0.01.

The evolution of the volume fraction (SV/TV) of the scaffolds is shown in Figure 4B. Generally, the volume fraction decreases in a fluctuating way for the 0.5 MPa group but in a stable way for the 1.0 MPa group before day 60. The intragroup comparison of the volume fraction showed a significant degradation at day 30 and 75 for the 0.5 MPa group and at day 60 for the 1.0 MPa group. This might be due to the competition between the water uptake and degradation which coexisted in the degradation. In the degradation process, the water uptake changed the molecular network of the PLA and swelled the scaffold bars (Chen et al., 2007) even though the samples were dried before characterization (Gottlieb, 1988; Ayrilmis et al., 2019). Thus, volume fraction changes induced by the water uptake fluctuated the degradation curve in the 0.5 MPa group, while the faster degradation in the 1.0 MPa group offset the swelling effect induced by the water uptake. The intergroup comparison between the two mechanical stimuli was significantly different at day 60 (see Figure 4D). Anyhow, the statistical analyses of the mass and volume fraction indicates that the high mechanical stimulus accelerated the scaffold degradation at the late stage of the degradation process.

Young’s Modulus

The dried scaffolds were compressed and their stress and strain curves were recorded by a mechanical testing machine to calculate the Young’s modulus. The stress and strain curves of the scaffolds in the two groups are plotted in Figure 5, respectively. The Young’s modulus is obtained by fitting the linear and elastic stages of the curves, see the insets. It is noted that the strengths of the scaffolds also decrease during the scaffold degradation. Namely, the strengths of the 0.5 MPa group from day 15–90 are 5.97, 3.98, 3.78, 3.12, 3.02, and 1.26 MPa, respectively, which correspond to the first inflection point of the stress and strain curves. Similarly, the strengths of the 1.0 MPa group are 4.67, 2.72, 2.07, and 0.82 MPa, respectively. The decrease of the Young’s modulus and strengh of the macroscopic scaffold attributed to the degradation of the microscopic scaffold bar (Revati et al., 2017). In detail, the intermittent mechanical stimuli are similar to the low-cycle loading on a 3D-printed PLA-based scaffold (Senatov et al., 2016), which reported more or greater micro-damages or micro-voids at the interface between the printed layers under high mechanical stimulus, and the degradation of the PLA scaffold was fostered due to the surfaces of the increased micro-damages exposed to PBS. In addition, the micro-damages or micro-voids improved the water absorption of the PLA (Singh et al., 2000; Islam et al., 2010), and at these sites, the stress concentration further reduced the mechanical properties of the PLA scaffold (Yew et al., 2005). Therefore, the high mechanical stimulus resulted in scaffold failure at the early time, as shown in Figure 3.

FIGURE 5
www.frontiersin.org

FIGURE 5. The stress and strain curves of selected degraded scaffolds in the 0.5 MPa (A) and 1.0 MPa (B) groups. Note: the Young’s modulus after time points in insets is MPa.

The comparison of the Young’s modulus between the experiments and the numerical simulation is demonstrated in Figure 6A. The decreasing trends of the Young’s modulus in the two methods are roughly consistent, and the numerical results show that the high mechanical stimulus leads to faster loss of the scaffold’s Young’s modulus, while the experimental result is not as stable as that in the simulation. In particular, the intragroup comparison of the Young’s modulus shows a significant reduction for the 0.5 MPa group at day 45 and 90 and for the 1.0 MPa group at day 30, 45, and 60. The instability may be due to uncontrollable factors in experiments, for example, the uncontrolled micro-structures of scaffolds in the manufacturing process, and studying a single RVE instead of the whole scaffold may be another reason. Moreover, the intergroup comparison of the Young’s modulus shows that the Young’s moduli of the two groups are significantly different at day 60, see Figure 6C. This indicates the consistency with the mass and volume fraction, which highlights that the high stimulus accelerated the scaffold degradation at the late stage of the degradation process.

FIGURE 6
www.frontiersin.org

FIGURE 6. Comparison of the evolved Young’s modulus (A) and (C) and number average molecular weight (B) and (D) in the two groups between the experiment (solid line) and the simulation (dotted line). Sample number was three for each test (n = 3). The error bars show standard deviation. ANOVA tests were performed for statistical analysis. *,** in (A) and (B) indicates the intragroup significant difference between the current time point with respect to its previous time point; * in (C) and (D) indicates the intergroup significant difference between the low and high mechanical stimuli. * indicates p < 0.05, ** indicates p < 0.01.

Normalized Number Average Molecular Weight

The number average molecular weight Mn (t) is a significant parameter to characterize the degradation of the PLA scaffolds. The comparison of β (t) between the experiments and the simulation is shown in Figure 6B. Likewise, the β (t) of the scaffolds in the 1.0 MPa group generally reduces faster than the 0.5 MPa group. This can be easily obtained from Eq. 2, which shows that the greater stress reduces more initial activity energy E0 of the PLA hydrolysis, and thus accelerates the scaffold degradation. It is worth mentioning that the β (t) at day 0 is 1.0 in the simulation, while it is less than 1.0 in the experiment. This is because the scaffolds in the experiments experienced initial degradation due to environment humidity before the test (Chen et al., 2011). Different from the mass, volume fraction, and Young’s modulus, the β (t) of the two groups does not fluctuate in the degradation process and decreases more apparently at the early stage (before day 45). Furthermore, the quasi-linearity of the degradation curves was consistent with the compressed PLA samples under pressure 1.0 MPa (Li et al., 2017), in which the authors measured the viscosity average molecular weight. The intragroup comparison of the β (t) shows a significant reduction for the 0.5 MPa group at day 75 and for the 1.0 MPa group at day 15 and 90. The intergroup comparison of the β (t) shows that the β (t) of the two groups are significantly different at day 90, see Figure 6D. Again, this indicates that the high mechanical stimulus accelerates the scaffold degradation at the late stage of the degradation process.

Conclusion

In this study, the degradation of a 3D-printed porous PLA scaffold under mechanical stimulus was studied by combining the in vitro experiments with the numerical simulations. Both the experiments and simulations indicated that the PLA scaffold degradation was generally accelerated due to the mechanical stimulus and a high mechanical stimulus led to faster scaffold degradation, but uncontrollable factors instabilized the degradation behavior of the scaffolds under the low mechanical stimulus. Moreover, the high mechanical stimulus strongly influenced the scaffold degradation at the late stage of the degradation (after day 60). The present study has revealed the degradation behavior of a 3D-printed PLA scaffold under the mechanical stimulus and might be helpful for the future biodegradable esters-based BTE scaffolds.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.

Author Contributions

HC has made a substantial contribution to the design of the article, and the acquisition and interpretation of the data for the article; QS and HS were mainly in charge of the experimental works; PW scanned the experimental samples; QC and ZL conceptualized and drafted the article, and revised it critically for important intellectual content.

Funding

This study was partially supported by the National Natural Science Foundation of China (NSFC) (Nos. 32171307, 11972118, 61821002, 11772093) and ARC (DP200103492).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Amini, A. R., Laurencin, C. T., and Nukavarapu, S. P. (2012). Bone Tissue Engineering: Recent Advances and Challenges. Crit. Rev. Biomed. Eng. 40, 363–408. doi:10.1615/critrevbiomedeng.v40.i5.10

PubMed Abstract | CrossRef Full Text | Google Scholar

Ayrilmis, N., Kariz, M., Kwon, J. H., and Kitek Kuzman, M. (2019). Effect of Printing Layer Thickness on Water Absorption and Mechanical Properties of 3D-Printed wood/PLA Composite Materials. Int. J. Adv. Manuf Technol. 102, 2195–2200. doi:10.1007/s00170-019-03299-9

CrossRef Full Text | Google Scholar

Bose, S., Vahabzadeh, S., and Bandyopadhyay, A. (2013). Bone Tissue Engineering Using 3D Printing. Mater. Today 16, 496–504. doi:10.1016/j.mattod.2013.11.017

CrossRef Full Text | Google Scholar

Cao, H., and Kuboyama, N. (2010). A Biodegradable Porous Composite Scaffold of PGA/β-TCP for Bone Tissue Engineering. Bone 46, 386–395. doi:10.1016/j.bone.2009.09.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Q., Baino, F., Spriano, S., Pugno, N. M., and Vitale-Brovarone, C. (2014). Modelling of the Strength-Porosity Relationship in Glass-Ceramic Foam Scaffolds for Bone Repair. J. Eur. Ceram. Soc. 34, 2663–2673. doi:10.1016/j.jeurceramsoc.2013.11.041

CrossRef Full Text | Google Scholar

Chen, Y., Davalos, J. F., Ray, I., and Kim, H.-Y. (2007). Accelerated Aging Tests for Evaluations of Durability Performance of FRP Reinforcing Bars for concrete Structures. Compos. Structures 78, 101–111. doi:10.1016/j.compstruct.2005.08.015

CrossRef Full Text | Google Scholar

Chen, Y., Zhou, S., and Li, Q. (2011). Mathematical Modeling of Degradation for Bulk-Erosive Polymers: Applications in Tissue Engineering Scaffolds and Drug Delivery Systems. Acta Biomater. 7, 1140–1149. doi:10.1016/j.actbio.2010.09.038

PubMed Abstract | CrossRef Full Text | Google Scholar

Chu, C. F. L., Lu, A., Liszkowski, M., and Sipehia, R. (1999). Enhanced Growth of Animal and Human Endothelial Cells on Biodegradable Polymers. Biochim. Biophys. Acta (Bba) - Gen. Subjects 1472, 479–485. doi:10.1016/s0304-4165(99)00151-8

CrossRef Full Text | Google Scholar

Fan, Y.-B., Li, P., Zeng, L., and Huang, X.-J. (2008). Effects of Mechanical Load on the Degradation of poly(D,L-lactic Acid) Foam. Polym. Degrad. Stab. 93, 677–683. doi:10.1016/j.polymdegradstab.2007.12.015

CrossRef Full Text | Google Scholar

Gleadall, A., Pan, J., Kruft, M.-A., and Kellomäki, M. (2014). Degradation Mechanisms of Bioresorbable Polyesters. Part 1. Effects of Random Scission, End Scission and Autocatalysis. Acta Biomater. 10 (5), 2223–2232. doi:10.1016/j.actbio.2013.12.039

PubMed Abstract | CrossRef Full Text | Google Scholar

Göpferich, A. (1996). Mechanisms of Polymer Degradation and Erosion. Biomaterials 17, 103–114. doi:10.1016/0142-9612(96)85755-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Gottlieb, M. (1988). “Swelling of Polymer Networks,” in Biological and Synthetic Polymer Networks. Editor O. Kramer (Dordrecht: Springer). doi:10.1007/978-94-009-1343-1_27

CrossRef Full Text | Google Scholar

Han, X., and Pan, J. (2009). A Model for Simultaneous Crystallisation and Biodegradation of Biodegradable Polymers. Biomaterials 30, 423–430. doi:10.1016/j.biomaterials.2008.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Hutmacher, D., Hürzeler, M. B., and Schliephake, H. (1996). A Review of Material Properties of Biodegradable and Bioresorbable Polymers and Devices for GTR and GBR Applications. Int. J. Oral Maxillofac. Implants 11, 667–678.

Google Scholar

Hutmacher, D. W. (2000). Scaffolds in Tissue Engineering Bone and Cartilage. Biomaterials 21, 2529–2543. doi:10.1016/s0142-9612(00)00121-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Islam, M. S., Pickering, K. L., and Foreman, N. J. (2010). Influence of Accelerated Ageing on the Physico-Mechanical Properties of Alkali-Treated Industrial Hemp Fibre Reinforced Poly(lactic Acid) (PLA) Composites. Polym. Degrad. Stab. 95, 59–65. doi:10.1016/j.polymdegradstab.2009.10.010

CrossRef Full Text | Google Scholar

Li, X., Chu, C., Wei, Y., Qi, C., Bai, J., Guo, C., et al. (2017). In Vitro degradation Kinetics of Pure PLA and Mg/PLA Composite: Effects of Immersion Temperature and Compression Stress. Acta Biomater. 48, 468–478. doi:10.1016/j.actbio.2016.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Markl, D., Zeitler, J. A., Rasch, C., Michaelsen, M. H., Müllertz, A., Rantanen, J., et al. (2017). Analysis of 3D Prints by X-ray Computed Microtomography and Terahertz Pulsed Imaging. Pharm. Res. 34, 1037–1052. doi:10.1007/s11095-016-2083-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Middleton, J. C., and Tipton, A. J. (2000). Synthetic Biodegradable Polymers as Orthopedic Devices. Biomaterials 21 (23), 2335–2346. doi:10.1016/s0142-9612(00)00101-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Reed, A. M., and Gilding, D. K. (1981). Biodegradable Polymers for Use in Surgery - poly(glycolic)/poly(Iactic Acid) homo and Copolymers: 2. In Vitro Degradation. Polymer 22, 494–498. doi:10.1016/0032-3861(81)90168-3

CrossRef Full Text | Google Scholar

Revati, R., Majid, M. S. A., Ridzuan, M. J. M., Basaruddin, K. S., Rahman Y., M. N., Cheng, E. M., et al. (2017). In Vitro degradation of a 3D Porous Pennisetum Purpureum/PLA Biocomposite Scaffold. J. Mech. Behav. Biomed. Mater. 74, 383–391. doi:10.1016/j.jmbbm.2017.06.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Rezwan, K., Chen, Q. Z., Blaker, J. J., and Boccaccini, A. R. (2006). Biodegradable and Bioactive Porous Polymer/inorganic Composite Scaffolds for Bone Tissue Engineering. Biomaterials 27, 3413–3431. doi:10.1016/j.biomaterials.2006.01.039

PubMed Abstract | CrossRef Full Text | Google Scholar

Sackett, C. K., and Narasimhan, B. (2011). Mathematical Modeling of Polymer Erosion: Consequences for Drug Delivery. Int. J. Pharmaceutics 418, 104–114. doi:10.1016/j.ijpharm.2010.11.048

CrossRef Full Text | Google Scholar

Senatov, F. S., Niaza, K. V., Stepashkin, A. A., and Kaloshkin, S. D. (2016). Low-cycle Fatigue Behavior of 3d-Printed PLA-Based Porous Scaffolds. Composites B: Eng. 97, 193–200. doi:10.1016/j.compositesb.2016.04.067

CrossRef Full Text | Google Scholar

Shi, Q., Chen, Q., Pugno, N., and Li, Z.-Y. (2018). Effect of Rehabilitation Exercise Durations on the Dynamic Bone Repair Process by Coupling Polymer Scaffold Degradation and Bone Formation. Biomech. Model. Mechanobiol 17, 763–775. doi:10.1007/s10237-017-0991-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Shui, H., Shi, Q., Pugno, N. M., Chen, Q., and Li, Z. (2019). Effect of Mechanical Stimulation on the Degradation of Poly(lactic Acid) Scaffolds with Different Designed Structures. J. Mech. Behav. Biomed. Mater. 96, 324–333. doi:10.1016/j.jmbbm.2019.04.028

CrossRef Full Text | Google Scholar

Singh, B., Gupta, M., and Verma, A. (2000). The Durability of Jute Fibre-Reinforced Phenolic Composites. Composites Sci. Tech. 60, 581–589. doi:10.1016/s0266-3538(99)00172-4

CrossRef Full Text | Google Scholar

Vert, M. (2005). Aliphatic Polyesters: Great Degradable Polymers that Cannot Do Everything†. Biomacromolecules 6, 538–546. doi:10.1021/bm0494702

PubMed Abstract | CrossRef Full Text | Google Scholar

Yew, G. H., Mohd Yusof, A. M., Mohd Ishak, Z. A., and Ishiaku, U. S. (2005). Water Absorption and Enzymatic Degradation of Poly(lactic Acid)/rice Starch Composites. Polym. Degrad. Stab. 90, 488–500. doi:10.1016/j.polymdegradstab.2005.04.006

CrossRef Full Text | Google Scholar

Zhurkov, S. N., and Korsukov, V. E. (1974). Atomic Mechanism of Fracture of Solid Polymers. J. Polym. Sci. Polym. Phys. Ed. 12, 385–398. doi:10.1002/pol.1974.180120211

CrossRef Full Text | Google Scholar

Keywords: porous PLA scaffold, mechanical stimulus, degradation, in vitro experiment, numerical simulation

Citation: Chen H, Shi Q, Shui H, Wang P, Chen Q and Li Z (2021) Degradation of 3D-Printed Porous Polylactic Acid Scaffolds Under Mechanical Stimulus. Front. Bioeng. Biotechnol. 9:691834. doi: 10.3389/fbioe.2021.691834

Received: 07 April 2021; Accepted: 14 September 2021;
Published: 26 October 2021.

Edited by:

Liqiang Wang, Shanghai Jiao Tong University, China

Reviewed by:

Agata Przekora, Medical University of Lublin, Poland
Jiajun Qiu, Shanghai Institute of Ceramics (CAS), China

Copyright © 2021 Chen, Shi, Shui, Wang, Chen and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Qiang Chen, chenq999@gmail.com; Zhiyong Li, zylicam@gmail.com

Download