The importance of crystallographic texture in the use of titanium as an orthopedic biomaterial

Sumit Bahl, Satyam Suwas and Kaushik Chatterjee*
Department of Materials Engineering, Indian Institute of Science, Bangalore, India 560012. E-mail: kchatterjee@materials.iisc.ernet.in; Tel: +91-80-22933408

Received 7th June 2014 , Accepted 4th August 2014

First published on 5th August 2014


Abstract

Crystallographic texture is perceived to play an important role in controlling material properties. However, the influence of texture in modulating the properties of biomedical materials has not been well investigated. In this work, commercially pure titanium (cp-Ti) was processed through six different routes to generate a variety of textures. The effect of texture on mechanical properties, corrosion behavior, cell proliferation and osteogenesis was characterized for potential use in orthopedic applications. The presence of closely packed, low-energy crystallographic planes at the material surface was influenced by the volume fraction of the components in the overall texture, thereby influencing surface energy and corrosion behavior. Texture modulated osteoblast proliferation through variations in surface water wettability. It also affected mineralization by possibly influencing the coherency between the substrate and calcium phosphate deposits. This study demonstrates that crystallographic texture can be an important tool in improving the properties of biomaterials to achieve the enhanced performance of biomedical implants.


1. Introduction

Bone tissues play an important role of providing structure and support to the human body. The human body contains articulating bones at many places that are connected through cartilage tissues to facilitate movement of joints. Unlike bone, cartilage is incapable of regenerating itself and wears out with age. This type of degenerative disease is commonly described as osteoarthritis (OA), which also arises from sports injuries and obesity.1 The most common treatment of OA is the use of orthopedic implants, and the global market is projected to be worth 46 billion US dollars by 2017.2 With increasing cases of OA in younger population, it is desired that the durability of these implants be significantly longer than the current generation of implants, which typically last no more than 15 years. This would minimize implant failure, thereby eliminating the need for repeated surgeries during an individual's lifetime.

The implants currently being clinically used are made of titanium and its alloys, stainless steel and Co–Cr alloys. Titanium and its alloys are the best-in-class materials for orthopedic applications because of low cytotoxicity, higher specific strength, lower elastic modulus, and excellent corrosion resistance. However, a significant fraction of these devices fail in the body due to poor adhesion with bone (osseointegration), stress shielding due to the mismatch of the elastic modulus, fatigue, corrosion fatigue, fretting, inflammation caused by wear debris and toxicity induced by the release of metal ions such as aluminum and vanadium.3–11 Therefore, newer alloy compositions are being developed with bioactive surface properties, lower elastic modulus, superior mechanical properties, higher wear resistance and non-toxic alloying elements.12 In addition to changing the material composition, the control of the crystallographic texture offers an alternative route for improving many of these material properties.

The texture of a polycrystalline material can be defined as the distribution of the orientations of constituent grains inside the material.13 The properties of polycrystalline materials are governed by individual crystals as well as their orientation distribution within the material. When all possible orientations of a crystal are present with equal probability, the material is said to have a random texture, which will yield an isotropic material due to the averaging of properties in all directions; however, sometimes anisotropy in properties may be desirable. This can be achieved by developing a non-random texture in materials. Texture in sheet materials is defined as (hkl)[uvw], in which (hkl) is the plane parallel to the rolling plane and [uvw] is the direction parallel to the rolling direction. Titanium and its alloys are known to develop acicular and equiaxed microstructures depending upon their heat treatments. Such treatments can further modify their crystallographic texture. In general, the texture of titanium is characterized by the disposition of the c-axes (or basal poles) of hexagonal crystals in the pole figure. For example, cold-rolled titanium is known to display a texture in which the c-axes are titled by 25° from the normal direction (ND) of the sheet towards the transverse direction (TD). Texture has been widely used to modulate the properties of titanium alloys.14,15

The use of crystallographic texture to modulate the properties of biomaterials has been mostly ignored. Texture can influence both bulk and surface properties in materials and thus has the potential to significantly affect biomaterial performance. An inverse correlation exists between planar atomic density and surface energy. It is reported that surface energies of (0002), (10[1 with combining macron] 0) and (11[2 with combining macron] 0) in Ti are 988 ergs cm−2 1049 ergs cm−2, 1132 ergs cm−2, respectively.16 The basal planes in a hexagonal crystal have the lowest surface energy due to the highest planar atomic density. The orientation of basal poles with respect to material surface can, therefore, affect the surface energy of the material-biology interface. This can manifest in surface-dependent phenomena such as corrosion, wettability, and cell-material interactions. Few studies have reported the effect of texture on cell response.17,18 Faghihi et al. reported that grain orientation in a polycrystalline Ti–6Al–4V alloy can affect its interactions with osteoblasts owing to differences in surface energy.17,18 In a recent study, Hoseini et al. reported that texture rather than grain size influences the cell attachment to Ti surfaces.17,18 However, a comprehensive study elucidating the structure–property–processing relationships is essential to demonstrate the importance of texture in biomaterials science, which is hitherto unreported. As a model system, in this work, commercially pure Ti (cp-Ti) was processed by rolling through various routes to generate different textures. The developed textures varied in the orientations and volume fractions of basal planes with respect to the surface. The processing routes were designed to produce similar microstructures but with different textures to exclusively study the effect of texture. The effects of texture on mechanical properties, corrosion resistance, and osteoblast proliferation and mineralization were demonstrated.

2. Materials and methods

2.1. Material and processing

cp-Ti pan cakes (100 mm diameter × 14 mm thickness) in as-cast condition were a kind gift from the Defense Metallurgical Research Laboratory, Hyderabad, India. Rectangular samples cut from the pan cakes were homogenized at 1000 °C for 1 h. The samples were subsequently hot rolled at 1000 °C to a thickness of 10 mm in order break down the cast microstructure. These samples were used for all further processing. The initial hot-rolled plates were further rolled down to a thickness of 2 mm (true strain, εt = 1.6) through six different routes, which are summarized in Fig. 1. The plates were hot rolled in β phase at 1000 °C (hereafter designated as HR1000) and in α phase at 800 °C (HR800) with εt = 0.1 per pass, resulting in total 16 passes to obtain a 2 mm thick sheet. The plates were uni-directionally rolled (UDR) and multi-step cross-rolled (MSCR) at 30 °C with εt = 0.02 per pass, resulting in a total of 80 passes to a final thickness of 2 mm. Note that, in the case of UDR, the sample direction was not changed in between the passes, whereas in the case of MSCR, the sample was rotated by 90° in the plane of sheet after every pass. The UDR and MSCR plates were cut in half, and one half was further annealed at 750 °C for 1 h (UDR + A and MSCR + A, respectively) to generate annealed microstructures. All the samples were coated with Deltaglaze before being placed in the furnace to prevent formation of alpha casing.
image file: c4ra05440g-f1.tif
Fig. 1 Flow chart illustrating the different processing routes of cp-Ti used in this study.

2.2. Microstructure

Microstructure was characterized on a plane perpendicular to the transverse direction (TD) of the rolled sheet. The samples were polished up to P3000 paper, followed by electropolishing at 38 V for 20 s in A3 solution using Struers Lectropol-5. The samples were etched by immersing in Kroll's reagent for 20 s, followed by washing in fresh water. Micrographs were obtained using an optical microscope (Zeiss).

2.3. X-ray texture and electron backscatter diffraction

X-ray diffraction profiles of the samples were measured using Cu-Kα radiation at a scan speed of 0.016° s−1 (PanAnalytical X'pert Pro). The bulk texture of the samples was measured by an X-ray texture goniometer (Bruker D8 Discover) in Schulz reflection geometry using Cu Kα radiations. Six pole figures (10.0), (00.2), (10.1), (10.2), (11.0) and (10.3) were measured with a 2.5° × 2.5° grid size and 3 s per step. The samples were oscillated in the x and y directions with 1 mm amplitude and 1 mm s−1 speed. The data from these pole figures was used to calculate the orientation distribution function using commercially available LaboTex software (LaboSoft s.c., Krakow, Poland). These ODFs were used to generate complete (0002) pole figure for textural analysis.

Electron backscatter diffraction (EBSD) was performed on HR800, UDR + A and MSCR + A. Samples were polished as previously described. EBSD scans were performed in ESEM-Quanta equipped with an EBSD detector (TexSEM Laboratories, Draper, UT) at 25 kV, 5.0 spot size, 13 mm working distance and a step size of 2 μm. Analysis of the data was performed using commercially available TSL-OIM version 5.2 software (EDAX Inc., Mahwah, NJ, USA).

2.4. Mechanical properties

Uni-axial tensile tests (Instron 5967 universal testing machine with a 5 kN load cell) were performed such that the rolling direction of the sample was parallel to the tensile axis. The tests were performed until fracture at a strain rate of 10−3 s−1.

2.5. Electrochemical behavior

Corrosion behavior of disc-shaped samples (10 mm diameter and 2 mm thickness) was evaluated by potentiodynamic polarization in simulated body fluid (SBF) of the following composition: 8.0 g L−1 NaCl, 0.35 g L−1 NaHCO3, 0.224 g L−1 KCl, 0.228 g L−1 K2HPO4·3H2O, 0.30 g L−1 MgCl2·6H2O, 40 mL L−1 1 M HCl, 0.278 g L−1 CaCl2, 0.071 g L−1 Na2SO4, 6.0 g L−1 (CH2OH)3CH2N.19 Samples were electropolished as previously described. A three-electrode potentiostat (Gill AC) was used with Pt as a counter electrode and saturated calomel electrode (SCE) as a reference. Samples were immersed in SBF for 3 h prior to polarization to stabilize the rest potential (open circuit potential, OCP). Polarization was performed from −200 mV to +1000 mV with respect to OCP at a rate of 12 mV min−1. Corrosion potential (Ecorr) and corrosion current density (Icorr) were calculated by the Tafel extrapolation technique.

2.6. Water contact angle

The static contact angle of ultrapure water (Sartorius Arium) was measured using a goniometer (OCA 15EC, Dataphysics) on the surface of the samples prepared by electropolishing. Contact angle was measured after placing 1 μL of water droplet on the sample. Three replicates of each sample were tested for statistical analysis.

2.7. Cell proliferation and osteogenesis

Biological response of the samples was evaluated in vitro using a MC3T3-E1 subclone 4 cell line (ATCC), which is a well-established osteoblast model.20 The cells were cultured in α-Minimum Essential Medium (α-MEM) supplemented with 10% (v/v) fetal bovine serum (FBS, Gibco, Life Technologies), as previously reported.21 Penicillin–streptomycin (Sigma-Aldrich) antibiotic was also added to the culture media at 1% (v/v) concentration. Trypsin-EDTA was used for the cell passage, which were subsequently sub-cultured. Passage 3 cells were used for all herein reported studies. Samples (square cross-section of 4 mm × 4 mm and 2 mm thickness) for cell studies were cut using an electro-discharge machine (EDM, Accutex). All samples were electropolished and sterilized by immersing in ethanol for 30 min followed by exposure to UV for 1 h prior to seeding the cells. Samples were placed individually in a 96-well tissue culture polystyrene (TCPS) plate. 200 μL of cell suspension containing 5 × 103 cells was added to each well. Cell attachment and proliferation were characterized 1 day and 3 days after seeding, respectively. MTT assay was used as a quantitative measure of viable cells. Fluorescent-labeled cells were imaged to characterize cell morphology. Six replicates (n = 6) of each sample were used for each time interval: four replicates for the assay and two for imaging.

A stock solution of MTT dye (3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide; thiazolyl blue) (Sigma Aldrich) was prepared by dissolving MTT powder in a sterile phosphate buffer saline (PBS) at a concentration of 5 mg mL−1. A working solution of MTT was prepared by diluting the stock solution in a fresh complete culture medium to a final concentration of 1 mg mL−1. The cell-culture medium was replaced with 100 μL of working solution and incubated at 37 °C and 5% CO2 for 3 h. In this assay, the dye is reduced to formazan crystals by dehydrogenase enzyme produced in the mitochondria of viable cells. The crystals were dissolved in 75 μL of dimethyl sulphoxide (DMSO). The absorbance of the solution was measured at 570 nm using a micro-well plate reader (BioTek).

Cells were fixed using 3.7% formaldehyde at 37 °C for 15 min. The cells were subsequently permeabilized with 0.2% Triton X (Sigma Aldrich). Actin filaments were stained using 25 μg mL−1 Alexa Fluor 546 (Invitrogen) at 37 °C for 15 min. Cell nuclei were stained using 0.2 μg mL−1 DAPI (Invitrogen) at 37 °C for 5 min. Stained cells were imaged with an inverted fluorescence microscope (Olympus).

Osteogenesis was evaluated by measuring the amount of mineral deposits on the sample surfaces by cells cultured in osteogenic differentiation media. Osteogenic media was prepared by adding β-glycerophosphate (10 mM) and ascorbic acid (50 μg mL−1) to α-MEM. 200 μL of cell suspension in a growth medium containing 5 × 103 cells was added to each well, as previously described. 24 h after seeding, media was replaced with osteogenic media. Media was replenished every three days, and mineral deposits were stained after seven days using Alizarin Red S dye (Sigma Aldrich). Cells were fixed with 3.7% HCHO at 37 °C for 20 min, and then the cells were stained with 1% (w/v) Alizarin Red S solution at 37 °C for 30 min. The dye was removed, and the samples were washed several times with water to remove unbound dye. The dye was dissolved in 150 μL solution of 0.5 N HCl and 5% SDS at 37 °C for 30 min. The absorbance of the solution at 405 nm was measured in a micro-well plate reader (Biotek). Fourier transform infrared (FTIR, Perkin Elmer Spectrometer Frontier) spectra were obtained in the range from 600 cm−1 to 4000 cm−1 to confirm the chemical nature of the mineral deposits.

2.8. Statistical analysis

Analysis of variance (ANOVA) with Tukey's test was used for all statistical analyses, and the differences were considered significant at p < 0.05.

3. Results and discussion

3.1. Microstructure and texture

The processing schedules were designed in a manner so as to generate similar microstructures with different textures. The textures varied in terms of position of basal planes with respect to the surfaces and their intensities. This enabled the exclusive study of the effect of texture on material properties. UDR and MSCR are two variations of cold deformation, which are known to produce different textures with similar microstructures.22–25 The annealing of these two microstructures led to the formation of UDR + A and MSCR + A, respectively, with recrystallized microstructures; however, with a possible variation in texture. HR800 was also expected to give a recrystallized microstructure produced by dynamic recrystallization during hot rolling in the α-phase. Thus, HR800, UDR + A and MSCR + A could likely be three routes with similar microstructures but varying textures. HR1000 was expected to generate a transformation microstructure as the rolling was performed above the β-phase transformation temperature of 882 °C. The deformation was performed in a total of 16 passes in order to generate a very weak texture with transformation microstructure.
3.1.1. Microstructural characterization. Representative optical micrographs of the samples processed by the different routes are compiled in Fig. 2. The HR1000 sample exhibits a typical transformation microstructure caused by the allotropic transformation from β- to α-phase on cooling below the transformation temperature of 880 °C. The microstructure is a basket weave-like α as evident in the image, which is a result of fast air cooling from the rolling temperature.26 The average size of α colony is 10 μm. Average grain misorientations in recrystallized HR800, UDR + A and MSCR + A samples were calculated from EBSD data to compare their state of recrystallization. The grain misorientation angle was classified into three ranges: low angle 2°–5°, medium angle 5°–15°, and high angle 15°–180°. The respective values for the three samples are summarized in Table 1. The microstructure of the HR800 sample is dynamically partially recrystallized (Fig. 2). Some grains in the microstructure are equiaxed, whereas some are elongated due to multi-pass rolling. This can also be observed in the EBSD micrograph of HR800 (Fig. 3). HR800 has a significantly high volume fraction of low-angle boundaries due to the presence of subgrains formed in dynamically partially recrystallized microstructure. The average grain size for HR800 is around 10 μm. Both UDR and MSCR show elongated grains characteristic of cold-rolled samples (Fig. 2). Their annealed counterparts, UDR + A and MSCR + A, exhibit completely recrystallized microstructure and are in the grain-growth regime. The grains are equiaxed and a majority of them (>80%) have high-angle boundaries, which is due to complete recrystallization. The average grain sizes for UDR + A and MSCR + A is 16 μm and 15 μm, respectively.
image file: c4ra05440g-f2.tif
Fig. 2 Optical micrographs of cp-Ti samples. Scale bar = 10 μm.
Table 1 Grain misorientation angles and grain sizes for the hot-rolled/annealed samples
Processing Grain misorientation angle (%volume fraction of grains) Avg. grain size (μm)
2°–5° 5°–15° 15°–180°
HR800 52.9 16.5 30.7 10.0
UDR + A 5.4 13.1 81.5 16.0
MSCR + A 4.7 10.4 84.9 15.0



image file: c4ra05440g-f3.tif
Fig. 3 EBSD micrographs of hot-rolled and annealed samples, along with the stereographic triangle. Scale bar = 200 μm.
3.1.2. Texture. The XRD profiles for the UDR and UDR + A samples are shown in Fig. S1. The profiles confirm the crystal structure to be hexagonal closed packed in both cold-rolled as well as annealed samples. There was no deformation-induced phase transformation in the deformed samples. The (0002) basal pole figures of all the samples are shown in Fig. 4. The positions of the basal poles with respect to the normal direction (ND) are listed in Table 2. The volume fraction of basal fiber (0002)[uvtw] was calculated from the orientation distribution function (ODF) with an orientation spread of 15° in three Euler's angles, φ1, φ, φ2, listed in Table 2. In case of HR1000, the transformation from β- to α-phase occurs through Burgers relationship, i.e., (110)β//(0001)α and [111]β//[11[2 with combining macron]0]α. There are 12 possible variants of the phase that can be generated after transformation due to the symmetry of the parent cubic β-phase. The texture developed in HR1000 samples is formed during the transformation from β- to α-phase on air cooling. The texture obtained depends upon the texture of the β-phase developed during hot rolling. In this work, the basal poles are tilted by around 10° away from ND. The volume fraction of the basal fiber is around 6%. As desired, the overall developed texture is weak due to multiple-pass deformation. The intermittent heating between passes would have resulted in the nucleation of β grain from transformed α grain, which would again have transformed back to α after rolling. This process, which was repeated after every pass, led to the weakening of texture. Inagaki studied the transformation texture of cp-Ti and observed that multiple orientations are developed after transformation in cp-Ti.27 These are inherited from multiple orientations developed in the parent β-phase during hot rolling, as well as multiple variants from a single β orientation. The α orientations derived from the parent β orientation can have different intensities due to the preferential selection of certain variants over others. As previously mentioned, a possible reason for the weaker textures in the present work could be the total deformation (80%) carried out in sixteen passes, whereas in the study by Inagaki, the total deformation (94%) was accomplished in three passes.
image file: c4ra05440g-f4.tif
Fig. 4 (0002) pole figures of cp-Ti samples generated by X-ray texture measurements.
Table 2 Volume fraction of basal fiber and the position of basal poles with respect to ND and major texture components of cp-Ti samples
Sample %Volume fraction basal fiber (0002)[uvtw] Position of basal pole figure w.r.t. ND toward TD (°)

image file: c4ra05440g-u1.tif

Texture component (hkil)[uvtw] Water contact angle (°) mean ± S.D.
HR1000 6.0 image file: c4ra05440g-u2.tif (11[2 with combining macron]5)[1000], (10[1 with combining macron]8)[1000], (11[2 with combining macron]15)[1[1 with combining macron] 00] 67.2 ± 1.7
HR800 15.0 image file: c4ra05440g-u3.tif (11[2 with combining macron]7)[1[1 with combining macron]00] (11[2 with combining macron]15)[1[1 with combining macron]00] 69.0 ± 5.0
UDR 5.8 image file: c4ra05440g-u4.tif (11[2 with combining macron]7)[1[1 with combining macron]00] 46.5 ± 1.5
MSCR 4.6 image file: c4ra05440g-u5.tif (11[2 with combining macron]7)[1[1 with combining macron]00] 55 ± 2.5
UDR + A 2.8 image file: c4ra05440g-u6.tif (10[1 with combining macron]3)[1000] 37.7 ± 2.8
MSCR + A 2.9 image file: c4ra05440g-u7.tif (10[1 with combining macron]3)[13[4 with combining macron]1] 43.8 ± 3.3


In the case of HR800, the basal poles are tilted by 11° from ND towards TD. The volume fraction of basal fiber with 15° orientation spread in Euler's angles is 15%, which is very high compared to other conditions. The textures of UDR and MSCR are characterized by basal poles titled by approximately 30° and 25°, respectively, away from ND and towards TD. The volume fractions of basal fibers for UDR and MSCR are 5.8% and 4.6%, respectively. The split of basal poles towards TD in UDR is typical of HCP metals with a c/a ratio <1.633.28 In MSCR samples, the split is both in RD and TD (RD1 and RD2, respectively) as the sample is rotated by 90° after every pass.22 The major texture component (11[2 with combining macron]7)[1[1 with combining macron]00] is the same for both UDR and MSCR; however, the texture is sharper for the MSCR sample than that of UDR. This can be explained by the higher contribution of basal slip systems than prismatic and pyramidal systems in MSCR over UDR.22

The annealing of the cold-deformed samples, UDR and MSCR, at 750 °C led to complete recrystallization and further grain growth. The texture of UDR + A is sharpened significantly due to annealing. The basal poles are seen shifted farther apart from ND towards TD with a sharp intensity at 38° from ND as compared to 30° for UDR. The main texture component is 6° misoriented from (10[1 with combining macron]3)[1000] orientation. In the case of MSCR + A, the basal poles also shift further away from ND towards TD at 35° from ND. The increase in the intensity of texture is less compared to UDR + A. The main orientation component is misoriented by approximately 6° from (10[1 with combining macron]3)[13[4 with combining macron] 1] orientation. The annealing textures of HCP materials in the grain-growth regime are derived from the primary recrystallization texture, which is similar to cold-rolled texture by a rotation of 30° around the c-axis.29

Analysis of texture revealed that UDR and MSCR samples have only subtle variations in texture. The texture of MSCR is stronger and its basal poles are closer to ND than to UDR. Similarly, the textures of UDR + A and MSCR + A are qualitatively similar. The strength of UDR + A texture is higher than MSCR + A. Thus, UDR/MSCR and UDR + A/MSCR + A form two sets with similar microstructures but textures with varying strengths. Moreover, HR800, UDR + A, and MSCR + A samples have similar recrystallized microstructures but significantly different textures.

3.2. Properties: mechanical, electrochemical, wettability and osteoblast response

3.2.1. Mechanical properties. Stress–strain curves of all the samples are plotted in ESI Fig. S2, and the values of yield strength (YS), ultimate tensile strength (UTS) and ductility are listed in Table 3. The cold-rolled samples, UDR and MSCR, show the highest strength and lowest ductility. They contain a very high dislocation density compared to the hot-rolled and annealed samples, leading to the highest strengths. The dislocation density of cold-rolled samples decreases on annealing because of recrystallization. As a result, UDR + A and MSCR + A samples have significantly lower strength and higher ductility than the cold-rolled samples. In contrast, HR800 is dynamically partially recrystallized. A large volume fraction of low-angle grain boundaries suggest the presence of subgrains and a higher dislocation density. Therefore, HR800 has greater strength than UDR + A and MSCR + A with slightly lesser ductility. HR1000 has greater strength than UDR + A and MSCR + A and exhibits a transformation microstructure in which the strength is governed primarily by the sizes of individual α lath and α colony. Misorientation between individual laths is low, which allows the dislocation to pass through them but still act as a barrier to their movement, thus leading to strengthening. On the other hand, movement of dislocations from one colony to another will possibly be hindered due to higher misorientation, leading to further strengthening. Strength is reported to increase with decrease in the sizes of both individual lath and colony.30,31 The average colony size in HR1000 is around 10 μm, whereas the average grain sizes for UDR + A and MSCR + A are 15 μm and 16 μm, respectively. Higher strength of HR1000 than the annealed samples is therefore possibly due to its smaller colony size and unique microstructure.
Table 3 Mechanical properties of cp-Ti samples
Sample Yield strength (MPa) Ultimate tensile strength (MPa) Ductility (%)
HR1000 495 570 39
HR800 635 683 38
UDR 787 828 26
MSCR 810 851 25
UDR + A 310 400 48
MSCR + A 311 400 44


3.2.2. Surface water wettability. The water contact angles (θ) of the samples are listed in Table 2. The contact angle varies with the deviation of the basal planes away from the surface. Water-adhesion tension, τ° = γ°lv × cos[thin space (1/6-em)]θ is plotted against the deviation of the basal poles from ND towards TD in Fig. 5(a).32 γ° (72 dyne per cm) is the interfacial surface tension of pure water with air. A higher contact angle would lead to a lower τ° value. It can be seen that τ° varies linearly with the deviation of basal planes. Note that τ° depends on the surface energy of substrate. Lower surface energy results in a lower τ° (higher contact angle), indicating increased hydrophobicity. As previously mentioned, the basal planes of the HCP structure are the most closely packed; therefore, they have the lowest surface energy (988 erg cm−2).16 Thus, the increased presence of basal planes on the surface is likely to result in lower τ°. Texture analysis revealed that the basal planes are closest to the surface for HR1000 and HR800, which is reflected in the lowest τ° values. In UDR + A and MSCR + A, the basal planes are farthest away from the surface and therefore, result in higher τ° values. Vogler found that hydrophobic forces are ineffective on surfaces with τ° greater than 33.7 dyne per cm (contact angle = 62.4°). Both HR1000 and HR800 surfaces have τ° values less than 33.7 dyne per cm, indicating a hydrophobic nature.32 On the other hand, τ° for UDR, MSCR, UDR + A and MSCR + A is higher than 33.7 dyne per cm, indicating a hydrophilic nature for these surfaces.
image file: c4ra05440g-f5.tif
Fig. 5 Plots of (a) water-adhesion tension τ° and (b) corrosion rate Icorr, with deviation of the basal pole from ND toward TD.
3.2.3. Electrochemical properties. Potentiodynamic polarization plots of the samples measured in SBF are compiled in ESI Fig. S3. Corrosion current density values calculated by the Tafel extrapolation method are listed in Table 4. It was observed that the HR1000 and HR800 samples have the lowest corrosion rates among all the different processing routes. Interestingly, the corrosion rates of UDR and MSCR were found to be lower than UDR + A and MSCR + A. This is in sharp contrast to the general belief that deformed microstructures exhibit higher corrosion rates than annealed microstructures due to higher grain boundary area and defect density in the former. This trend, however, is reportedly reversed when the samples are subjected to severe plastic deformation (SPD), such as equal channel angular pressing (ECAP) where nanocrystalline grains are formed. These SPD samples are reported to exhibit better resistance than the unprocessed coarse-grained samples.33,34 The corrosion resistance improves with the decrease in grain sizes. Homogeneous distribution of defects and impurities in the material due to severe deformation is assumed to be the underlying reason for improved corrosion resistance. However, UDR and MSCR were not severely deformed, but these still have better corrosion resistance than annealed microstructures. A possible reason for such a behavior is the difference in texture between the deformed and annealed conditions. It has been observed that corrosion behavior depends on the crystallographic plane parallel to the surface exposed to corrosion media.35 Planes that have higher atomic densities show higher corrosion resistance due to their lower surface energy. Fig. 5(b) presents the variation of corrosion rates with the deviation of basal planes from ND towards TD. It can be seen that the corrosion rate varies linearly with the extent of the deviation, irrespective of the microstructure. The presence of low energy (0002) basal planes parallel to the surface can thus lead to enhanced corrosion resistance. The basal poles shifted closer to ND away from TD in the deformed samples (Table 2). This possibly negated the detrimental effect of deformation, leading to increased corrosion resistance in the deformed samples (UDR and MSCR) compared to the annealed specimens (UDR + A and MSCR + A). HR800 is dynamic, partially recrystallized and has a corrosion rate lower than that of fully recrystallized UDR + A and MSCR + A. The corrosion rate of HR800 should have been similar to or slightly higher than UDR + A/MSCR + A due to the partial state of recrystallization. However, the basal planes are deviated by only 11° from the surface, whereas the deviation is more than 35° and 38° for MSCR + A and UDR + A, respectively (Table 2). This likely resulted in a lower corrosion rate of HR800, compared to UDR + A and MSCR + A. HR1000 was processed at the highest temperature, in which the parent β-phase recrystallized and subsequently transformed to the α-phase. The highest deformation temperature, recrystallized microstructure and the presence of basal planes close to the surface (10° deviation) possibly led to the low corrosion rate observed for HR1000. The trend in corrosion rates explains the role of the low-energy basal planes in determining the corrosion behavior and highlights the importance of crystallographic texture in such surface-dependent phenomena.
Table 4 Ecorr and Icorr values of cp-Ti samples in SBF calculated by the Tafel extrapolation method
Sample Ecorr (mV) vs. SCE Icorr (×10−5 mA cm−2)
HR1000 −347 2.45
HR800 −315 2.45
UDR −368 2.95
MSCR −323 3.00
UDR + A −366 3.30
MSCR + A −280 3.23


3.2.4. Osteoblast proliferation and osteogenesis. The potential effects of processing and texture of cp-Ti for orthopedic use on biological response was studied by measuring cell attachment and the in vitro proliferation of mouse osteoblasts. Fig. 6 plots the absorbance values of the cell-viability assay on the different samples. The initial attachment in one day was similar on all the samples except for HR800, which was significantly (p < 0.05) lower compared to the other samples. Cell proliferation was evaluated by measuring cell viability at three days. Cells proliferated on all the surfaces proved by the increase in absorbance for all samples. However, statistically significant differences in the values after three days indicate that the cell proliferation was lower on HR1000 and HR800 compared with the other four surfaces. Fluorescent images confirmed the results from the assay. Representative fluorescence images after 1 day and 3 days are shown in Fig. 7 for HR800 and UDR + A. Cells were found to be equally well spread on all the samples. The cell numbers were observed to have increased on all the samples. Fewer cells were seen on HR800 than the other samples after one day. After three days, the variations between the different surfaces were less discernible visually as the cell proliferated to a nearly confluent monolayer.
image file: c4ra05440g-f6.tif
Fig. 6 Absorbance values of cell-viability assay after 1 day and 3 days. * and $ indicate statistically significant differences (p < 0.05) after 1 day and 3 days, respectively.

image file: c4ra05440g-f7.tif
Fig. 7 Representative fluorescence micrographs after 1 day and 3 days. Scale bar = 100 μm.

The effect of the surface on cellular behavior is modulated by the type and conformation of proteins adsorbed on the surface. Cell attachment and proliferation is reported to be dependent on the wettability of the surface mediated by protein adsorption events.36–38 It has been found that hydrophilic surfaces facilitate the binding of adhesive proteins, such as vitronectin and fibronectin, suitable for cell attachment and growth. Moreover, using the theories of colloidal surface science, it was also shown that cell attachment and spreading is favored with an increase in the wettability of the biomaterial surface.39 In this study, osteoblast attachment and proliferation was lower on the relatively hydrophobic surfaces of HR1000 and HR800, compared to the other four surfaces, which are hydrophilic as determined from the measurement of water-adhesion tension (Fig. 5(a)).

The effect of texture on early osteogenesis was measured after seven days. The chemical composition of the mineral deposits was evaluated by FTIR spectroscopy. Representative FTIR spectrum of the MSCR surface with mineral deposits is shown in ESI Fig. S4. The characteristic peak of the phosphate group in the range of 1000 cm−1 to 1100 cm−1 along with a shoulder at 1077 cm−1 indicates the deposition of calcium phosphate.40,41 The absorbance values after dissolving the stained mineral deposits are compiled in Fig. 8 for quantitative comparison. Osteoblasts on HR800 exhibited significantly (p < 0.05) higher mineral deposition, compared to the other five surfaces. Mineral deposition on HR1000 was lower than HR800, while it was higher compared to the other surfaces that were not statistically different. It is known that the hydoxyapatite crystals in bone are highly oriented such that the normal to (0002) planes is parallel to the axis of collagen fibrils.42 Mao et al. have shown that a Ti substrate with (0002) texture led to the oriented growth of HA through crystal matching between the substrate and HA, thereby mimicking the natural mineralization process.43 Both HR800 and HR1000 have the highest volume fraction of basal fiber and position of basal planes closest to the surface (Table 2). It is possible that a highly oriented Ti substrate with (0002) parallel to its surface facilitated the nucleation of oriented HA crystal. This, in turn, led to higher mineralization on HR800 and HR1000 samples.


image file: c4ra05440g-f8.tif
Fig. 8 Absorbance values of dissolved dye bound to deposited mineral. *, $ and # indicate statistically significant differences (p < 0.05) after 7 days.

The results of this study demonstrate that the choice of processing conditions can yield different microstructures and crystallographic textures in cp-Ti. This, in turn, can lead to significant differences in mechanical properties, corrosion resistance and osteoblast response. Table 5 summarizes the effects on the different properties. The semi-quantitative comparison indicates that texture affects strength, corrosion resistance and osteogenesis. HR800 offers the best combination of corrosion resistance, strength and osteogenesis among the library of processing routes studied herein. Properties of HR800 are mostly similar to those of HR1000. Note that the effect of texture independent of microstructural changes can be elucidated by comparing HR800, UDR + A and MSCR + A, all of which have the same microstructures but widely differing textures. It can be seen that HR800 exhibits significantly different properties than UDR + A and MSCR + A, which can be attributed to differences in texture, as previously discussed.

Table 5 Summary of the effects of processing of cp-Ti
Sample Strength Corrosion resistance Osteogenesis
HR1000 Medium High Medium
HR800 Medium High High
UDR High Medium Low
MSCR High Medium Low
UDR + A Low Low Low
MSCR + A Low Low Low


Surfaces of biomedical implants used in the clinic are often modified by hydroxyapatite (HA) coatings or surface roughening to improve osseointegration.44 Although not in the interest of the current study, the surfaces obtained by these methods may possibly be influenced by the texture of the underlying metal substrate in addition to the properties discussed in this study. The presence of (0002) planes of Ti were found to be better suited for the biomimetic growth of the HA coating.43,45 In another study, osteoblast attachment, proliferation and osteogenesis were found to be higher on a HA-coated Ti substrate with (0002) texture.46 Surface-roughening treatments often performed with acid etching are also reported to be dependent on the texture. They not only affect surface roughness but also control the planes exposed at the post-treatment surface.47 On combining the results of this work and previously reported studies, the importance of texture in modulating bulk and surface properties of biomaterials, both with or without surface treatments can be elucidated.

4. Conclusions

cp-Ti was processed through six different rolling routes to yield different crystallographic textures. Mechanical properties were determined by a combination of microstructure and texture. The availability of closely packed, crystallographic planes and the resultant surface energy were determined by texture, which further modulated corrosion rates, osteoblast proliferation and osteogenesis on the surface. The processing condition of HR800 offered the optimal combination of mechanical strength, corrosion resistance and osteogenesis. In summary, this study exemplifies the importance of crystallographic texture in the use of metallic biomaterials and demonstrates that it can be an important tool for enhancing their performance over and above that achieved through other means.

Acknowledgements

This work was funded by the Department of Atomic Energy-Board of Research in Nuclear Sciences (DAE-BRNS), India. K.C. gratefully acknowledges support through the Ramanujan Fellowship from the Department of Science and Technology (DST), India. The authors acknowledge the Defense Metallurgical Research Laboratory (DMRL, Hyderabad, India) for providing cp-Ti pan cakes. Authors thank Prof. Subodh Kumar and Mr George Rapheal for their assistance with the corrosion studies and Mr Sasidhara for his assistance with tensile tests.

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Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c4ra05440g

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