Research Article | Open Access
Eiji Yoshida, Tohru Hayakawa, "Quantitative Analysis of Apatite Formation on Titanium and Zirconia in a Simulated Body Fluid Solution Using the Quartz Crystal Microbalance Method", Advances in Materials Science and Engineering, vol. 2017, Article ID 7928379, 9 pages, 2017. https://doi.org/10.1155/2017/7928379
Quantitative Analysis of Apatite Formation on Titanium and Zirconia in a Simulated Body Fluid Solution Using the Quartz Crystal Microbalance Method
The bone-bonding ability of a material is evaluated by examining apatite formation on its surface in simulated body fluid (SBF). Partially stabilized zirconia () is currently attractive as an alternative to titanium (Ti) implants; however, no quantitative analysis of apatite formation between Ti and in SBF has been reported. In the present study, we quantitatively evaluated apatite formation onto Ti or in SBF using the 27 MHz quartz crystal microbalance method (QCM). In the QCM measurements, apatite formation was detected as a frequency decrease in the Ti or sensor. Frequency decreases were observed at around 1 hour for Ti and at around 2 hours for the sensor after the injection of SBF. This revealed that the Ti sensor showed faster apatite formation than . There was no significant difference in the amounts of apatite formation between the Ti and sensors after 24 hours of apatite formation in SBF. In conclusion, the present quantitative study using QCM revealed that apatite formation on the Ti surface in the SBF was obviously faster than that on the surface. Faster apatite formation may predict faster initiation of bone formation on Ti compared with .
For evaluating the biocompatibility or tissue responses of biomaterials in hard tissue, in vitro simulation methods using simulated body fluid have been postulated in addition to animal experiments and/or cell assays. Kokubo  reported that the essential requirement for a biomaterial to bind to living bone is the formation of bone-like apatite on its surface when implanted in the living body. They proposed that in vivo apatite formation could be reproduced after the immersion of a material in a SBF, in which ion concentrations are nearly equal to human blood plasma . There are numerous studies on the effectiveness of SBF immersion experiments by Kokubo and his colleagues, and the in vivo bioactivity, namely, osteoconductivity, of biomaterials is precisely mirrored by the in vitro apatite-forming ability in SBF [2–4]. In addition to Kokubo’s SBF, Hanawa et al. [5, 6] proposed Hanks’ balanced salt solution (HBSS) without organic species at pH 7.4 as an SBF and found apatite formation on a Ti surface in HBSS. Our group [7–10] examined apatite deposition on the surface of modified Ti materials, such as thin-apatite-coated or DNA-coated Ti materials, after immersion in SBF and found that better apatite deposition on the biomaterials in HBSS corresponded with better in vivo bone formation. Thus, an SBF immersion experiment is useful for evaluating biocompatibility or tissue responses of biomaterials for hard tissue, which can reduce the number of animals used and the duration of animal experiments.
Recently, yttria-stabilized tetragonal zirconia polycrystal, which is known as partially stabilized zirconia (), attracted attention as an alternative to titanium as an implant material that overcomes the shortcomings of titanium implants such as the dark grayish color  and metal sensitivity . There are various results regarding bone response to implants. Some report that ceramic implants show similar or better behavior than Ti implants in bone response [13–15]. In contrast, it was reported that the removal torque of Ti implants was significantly higher than that of after implantation into the femurs of rabbits and that the bone formation of seemed to proceed more slowly than roughened Ti [16, 17]. However, there are no quantitative analyses for apatite formation between Ti and in SBF.
The quartz crystal microbalance (QCM) technique is a straightforward method for detecting the adsorption or precipitation of biomolecules onto a material surface by measuring differences in the oscillating frequency of the quartz cell . The adsorption or precipitation of biomolecules onto the surface of the oscillating quartz crystal causes the oscillation frequency to decrease in relation to the amount of biomolecules bound to the crystal surface. In the QCM measurements, apatite formation was detected as a frequency decrease in Ti or sensor in SBF.
There are a few reports on monitoring apatite formation on a material in SBF using the QCM method. Tanahashi et al.  reported on apatite formation on gold sensors in SBF. They assessed the process of apatite formation in two steps, namely, the initial nucleation step with glass powder and the crystal growth step in the absence of glass powder using QCM. Other QCM studies suggested that negatively charged surfaces of a self-assembled monolayer or nanocrystalline TiO2 coating induced apatite formation in SBF [20–22].
In the present study, we aimed to investigate apatite formation onto Ti or quantitatively in SBF using a 27 MHz QCM, which enabled measurements with high sensitivity and low noise [23, 24]. The Ti and sensor were characterized by contact angle measurement and X-ray photoelectron spectroscope (XPS) analysis, and the obtained apatite crystals were identified by scanning electron microscopy (SEM) and XPS. The null hypothesis tested was that the difference in the materials Ti and did not influence apatite formation in SBF.
2. Materials and Methods
2.1. QCM Apparatus and Sensors
A 27-MHz QCM (AT cut shear mode, AFFINIX QNμ, ULVAC Co., Ltd., Tokyo, Japan) with a 500 μL cell was used. The temperature was maintained at °C, and the SBF solution in the cells was not stirred during the measurements.
Ti and sensors were used. Each sensor was prepared by the sputter coating of each material on an Au electrode . Briefly, Ti or zirconium disks (Quartz 4N, ULVAC, Inc., Kanagawa, Japan) were used as a target, and the deposition of each material was performed using sputtering deposition equipment (CS200, ULVAC, Inc., Kanagawa, Japan). Ti sputtering was performed under argon gas, and zirconium sputtering under oxygen gas to deposit . The film thickness of Ti and sensor was measured by the step profiler (Dektak 150, Veeco Instruments, Inc., USA) and the surface roughness of each sensor was measured by atomic force microscope (AFM: Nanosurf Easyscan 2, Nanosurf, AG, Switzerland) according to the previous report . AFM measurements were carried out by the tapping mode using tapping mode silicon probes (Tap190AL-G, force contact 48 N/m, Budget sensors, Bulgaria) with resonance frequencies of approximately 190 kHz in an area with 2 × 2 μm2. Each sensor was irradiated by ultraviolet radiation (BioForce Nanosciences Holdings Inc., USA) for 20 minutes before QCM measurement.
2.2. Measurements of Apatite Precipitation by QCM Method within SBF Solution
Hanks’ balanced salt solution (HBSS) without organic species was prepared as the SBF. The ion concentrations of HBSS are as follows: Na+: 142, K+: 5.81, Mg2+: 0.811, Ca2+: 1.26, Cl-: 145, : 4.17, : 0.778, and : 0.811 mmol/L.
A cell with a Ti or sensor was set in the QCM apparatus. After stabilization of the frequency, a 500 μL SBF solution was injected into the cell. The frequency decrease was monitored until 24 hours after injection of the SBF solution. The amount of apatite formation onto each surface at 24 hours after SBF injection was calculated by Sauerbrey’s equation . A frequency decrease of 1 Hz corresponds to a mass change of ng/cm2 on the sensor in a 27 MHz QCM system. By curve fitting for the curve against time, the apparent reaction rate, Kobs, in the following equation was obtained. is the frequency shift at infinite time. Three runs of QCM measurements were performed during a 24-hour period.
Before the SBF experiment, the solubility of Ti and was checked by detecting frequency change in ultrapure water instead of SBF and no dissolution of Ti and during the 24 hours was confirmed.
2.3. Contact Angle Measurements of Ti and ZrO2 Sensors
The contact angles of Ti and sensor surfaces with respect to double-distilled water were measured using a contact angle meter (DMe-201, Kyowa Interface Science Co., Ltd., Tokyo, Japan) after the ultraviolet irradiation of each sensor. The water drop volume was maintained at 0.5 μL, and three measurements of 15 seconds each were made for each surface type. The measurements were performed at the same room temperature and humidity.
2.4. SEM Observation
After 24 hours of apatite formation in SBF, each sensor was cleaned with distilled water and was naturally dried in the atmosphere. After ion coating with gold, the morphology of the crystals was observed using a SEM (JSM-5600LV, JEOL, Tokyo, Japan) at an accelerating voltage of 10 kV.
2.5. XPS Analysis
Surface elemental analyses of each sensor before and after apatite formation were performed using an X-ray photoelectron spectroscope (XPS, KRATOS AXIS Nova, Shimadzu Corp., Kyoto, Japan) equipped with an Alkα X-ray source operated at 300 W. After 24 hours of apatite formation in SBF, each sensor was cleaned with distilled water and was naturally dried in the atmosphere. The Ti2p, Zr3d, and O1s peaks of each sensor were analyzed before apatite formation, and the Ca2p, P2p, and O1s peaks of apatite crystals on each sensor were analyzed after apatite formation.
2.6. Statistical Analyses
Significant differences were determined using statistical analysis software (GraphPad Prism, GraphPad Software Inc., San Diego, CA, USA). Statistical significance was set at . Nonpaired -test was employed to compare data obtained from contact angle measurements and in QCM measurements.
3.1. Characterization of QCM Sensors
The film thickness of Ti and sensor was approximately 150 and 110 nm, respectively, and the surface roughness of each sensor was approximately 4~5 nm . The contact angles of the Ti and sensors are shown in Table 1. There was no significant difference in the contact angle between the Ti and sensors (), and both showed hydrophilic surfaces. XPS analyses of the Ti and sensors are shown in Figure 1. Wide spectra indicated the presence of Ti and Zr3d for Ti and sensor as shown in Figures 1(a) and 1(d), respectively. O1s peak was identified for both Ti and sensors. Higher resolution Ti2p spectrum showed the presence of Ti2p3/2 at 459.0 eV and Ti2p1/2 peak at 464.8 eV . The O1s peak at 530.6 eV and 532.1 eV as shown in Figure 1(c) corresponded to the bulk oxygen in titanium dioxide and basic terminal OH (Ti-OH), respectively [28, 29]. For the sensor, higher resolution spectrum identified the presence of Zr3d5/2 at 182.1 eV and Zr3d3/2 at 184.5 eV as shown in Figure 1(d) . Higher resolution O1s spectrum showed two O1s peaks as shown in Figure 1(f). O1s peak at 530.4 eV could be attributed to the bulk oxygen in and that at 531.8 eV may be the oxygen of Zr-OH .
|The same letters denote no significant difference ().|
3.2. QCM Measurements
The frequency curves for the Ti and sensors are shown in Figure 2. No apparent frequency decrease was observed at the initial stage. Distinct frequency decrease was observed at around 1 hour for the Ti sensor and at around 2 hours for the sensor, after the injection of SBF (arrow in Figure 2). Thus, the frequency curves were separated into two stages: the stable initial stage and the apatite formation stage.
Table 2 lists the time for the stable initial stage before frequency decrease (apatite formation). The sensor showed a significantly longer time for the initial stage than the Ti sensor (). The amounts of apatite formation on Ti and 24 hours after SBF injection are shown in Figure 3. There was no significant difference in the amounts of apatite formation between the Ti and sensors (). Figure 4 shows the apparent reaction rate for apatite formation during the apatite-forming stage until 24 hours. No significant difference existed between the Ti and sensors ().
|The different letters denote significant difference ().|
3.3. SEM Observation of Apatite Crystals
Figure 5 shows the SEM pictures of apatite crystals on each sensor after 24 hours of SBF immersion. It was confirmed that apatite crystals were randomly precipitated on each sensor (Figures 5(a) and 5(c)). Apatite crystals with a diameter of approximately 500 nm were sparsely observed on the Ti and sensors (Figures 5(b) and 5(d)). Both showed similar morphologies of apatite crystals.
3.4. XPS Measurements of Apatite Crystals
The Ca2p, P2p, and O1s peaks of the apatite crystals were identified on each sensor as shown in Figure 6. Higher resolution of Ca2p spectra showed the presence of Ca2p1/2 at 347.3 eV and Ca2p3/2 at 351.0 eV as shown in Figures 6(b) and 6(f) . Figures 6(c) and 6(g) show the P2p peak at 133.3 eV . Figures 6(d) and 6(f) show the O1s peak at 532.7 eV . The Ca/P atomic ratio of apatite crystals obtained by XPS measurement was approximately 1.46, which was relatively smaller than that of stoichiometric hydroxyapatite.
In the present study, we evaluated apatite formation on Ti and surfaces in SBF solution using the QCM method. The study revealed that apatite formation on Ti was significantly faster than that on . Therefore, the null hypothesis was rejected.
The surface charge of a substrate plays an important role in the reaction of the substrate in an aqueous solution. Some researchers prepared negatively and positively charged surfaces using the SAM technique and monitored apatite formation in an SBF solution using the QCM method [20, 21]. They found that negatively charged surfaces with PO4H2 or COOH groups showed more progressed apatite formation than positively charged surfaces with NH2 groups. The apatite formation was initiated by the calcium ion adsorption on negatively charged surfaces, and consequently phosphate ions bound to the adsorbed calcium ions. With the increase in immersion time, a large amount of calcium ions and phosphate ions was attracted to the surface to form apatite crystals.
In our previous study, the apparent zeta potentials of Ti and at pH = 7.4, which were measured by the streaming potential technique, were reported to be approximately −87 and −43 mV, respectively . This means that both Ti and surfaces were negatively charged, and Ti was more negatively charged than . Thus, it is presumed that the faster apatite formation on Ti was due to the more negatively charged surface. The present results accorded with previous reports [20–22]; namely, a higher number of calcium ions in the SBF were initially attracted to the more negatively charged Ti surface. Subsequently, phosphate ions and the calcium ions in the SBF combined, and apatite nuclei formed. Faster apatite formation may predict faster initiation of bone formation. The amounts of apatite formation between Ti and were not significantly different for the 24 hours of SBF immersion. The difference in surface charge only influenced the initial nucleation stage not the apatite formation stage.
Besides apatite formation, protein behaviors such as adsorption, proliferation, and differentiation influence the achievement of bone formation. Kusakawa et al.  studied protein adsorption onto Ti and using the QCM method. It was reported that Ti showed greater adsorption of fibronectin, cell adhesive protein, and albumin, a cell adhesion-inhibiting protein. Monitoring apatite formation and protein behaviors is needed to analyze the level of bone formation.
This paper examined apatite formation on Ti and in SBF using the 27 MHz QCM method. The obtained apatite crystals were characterized by scanning electron microscopy (SEM) and X-ray photoelectron spectroscope (XPS) analysis. It was found that the apatite formation on the Ti surface in the SBF was clearly faster than that on the surface. This was due to the more negatively charged Ti surface compared with . No significant difference existed in the amounts of apatite formation, the size of apatite crystals, and the Ca/P atomic ratio of apatite crystals between the Ti and sensors. Faster apatite formation may predict faster initiation of bone formation in Ti compared with .
Conflicts of Interest
The authors declare that they have no conflicts of interest.
The authors are grateful to Professor Masao Yoshinari in the Division of Oral Implants Research, Oral Health Science Center, Tokyo Dental College, for the XPS analysis. This study was supported in part by the Japan Society for the Promotion of Science, Grants-in-Aid for Young Scientists (B) (15K20490), by the MEXT-Supported Program for Strategic Research Foundation at Private Universities, 2015–2019.
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