Journal for Biophysical Chemistry

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Quantification of calcium content in bone by using ToF-SIMS–a first approach

  • Anja Henss1,
  • Marcus Rohnke1Email author,
  • Sven Knaack2,
  • Matthias Kleine-Boymann1,
  • Thomas Leichtweiss1,
  • Peter Schmitz1,
  • Thaqif El Khassawna3,
  • Michael Gelinsky2,
  • Christian Heiss3, 4 and
  • Jürgen Janek1
BiointerphasesJournal for Biophysical Chemistry20138:31

Received: 2 October 2013

Accepted: 4 November 2013

Published: 14 November 2013


The determination of the spatially resolved calcium distribution and concentration in bone is essential for the assessment of bone quality. It enables the diagnosis and elucidation of bone diseases, the course of bone remodelling and the assessment of bone quality at interfaces to implants. With time-of-flight secondary ion mass spectrometry (ToF-SIMS) the calcium distribution in bone cross sections is mapped semi-quantitatively with a lateral resolution of up to 1 μm. As standards for the calibration of the ToF-SIMS data calcium hydroxyapatite collagen scaffolds with different compositions were synthesized. The standards were characterised by loss of ignition, x-ray diffractometry (XRD) and x-ray photoelectron spectroscopy (XPS). The secondary ion count rate for calcium and the calcium content of the standards show a linear dependence. The obtained calibration curve is used for the quantification of the calcium content in the bone of rats. The calcium concentration within an animal model for osteoporosis induction is monitored. Exemplarily the calcium content of the bones was quantified by XPS for validation of the results. Furthermore a calcium mass image is compared with an XPS image to demonstrate the better lateral resolution of ToF-SIMS which advances the locally resolved quantification of the calcium content.


Calcium quantification bone Time of flight secondary ion mass spectrometry Osteoporosis Bone imaging

1 Background

Quantification of the mineral content in osseous tissue is important for assessing bone quality–especially in case of bone diseases like such as osteoporosis. Dual energy X-ray absorptiometry (DEXA) and quantitative computed tomography (Q-CT) are widely used for the clinical diagnosis of osteoporosis [1, 2]. With DEXA X-ray absorption of the whole body is measured to determine the bone mineral density (BMD). However, DEXA does not sufficiently include bone thickness and bone volume when determining the BMD. Thus in clinical research micro-and nano-computed tomography (μ-CT and n-CT) with a spatial resolution of 10 μm or 10 nm, respectively, are often used for the complementary 3D analysis of bone architecture. Although DEXA and Q-CT are essential, these x-ray based methods are not chemically selective and do not allow the exclusive evaluation of the local Ca content.

Therefore, in bone research additional spectrometric and spectroscopic methods are applied to determine the elemental composition of bone samples. These include atom absorption spectroscopy [3] or inductively coupled plasma optical emission spectroscopy (ICP-OES) of ashed and dissolved bone samples, mostly applied to prove and quantify elements like Pb, Na, K, Al, Mg as well as Ca and P in bone [4, 5]. Also laser ablation combined with inductively coupled plasma mass spectrometry (LA-ICP-MS) allows quantitative analysis and imaging in the lower μm regions [6]. Zoehrer et al. used x-ray photoelectron spectroscopy (XPS) to evaluate the calcium and phosphorous content as well as the Ca/P ratio to assess bone quality in case of fragility fractures of male patients [7]. In this study the well-established bone mineral density distribution (BMDD) was applied to characterise the degree and distribution of bone mineralisation. BMDD is calculated from backscattered electron images and is a validated method for the clinical use [8].

For the development of modified therapies and implants for patients with osteoporosis a profound knowledge about the local calcium distribution and content, especially in the most stressed and most fractured regions of the skeleton, is highly eligible. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) as a surface sensitive technique is chemically specific and offers high spatial resolution–its applicability for the investigation of biological samples and biomaterials interfaces has already been demonstrated in several cases so far [9, 10]. In our previous studies ToF-SIMS was successfully applied for the analysis of osteogenic differentiated hMSCs, for tracking pharmaceuticals in a biomaterial from in vitro to in vivo experiments, as well as for the investigation and imaging of osteoporotic bone in an animal model [1113]. ToF-SIMS provided detailed chemical information of bone with high sensitivity and a lateral resolution of up to 300 nm. Mass images revealed the distribution of the organic compounds as well as the localisation of mineralised parts of the bone. Assuming the secondary ion count of calcium to be proportional to its surface concentration, a semi-quantitative comparison of healthy and osteoporotic bone confirmed the reduction of the calcium content in diseased tissue, as proven additionally by DEXA measurements [11].

In the present paper a first step toward the quantitative evaluation of the Ca content of bone is reported, thereby expanding the use of ToF-SIMS for the analysis of osseous tissue. Generally, quantification of concentrations using ToF-SIMS is challenging, as the ionisation process and hence the ion yields strongly depend on the chemical environment of the elements and molecules at the surface [14]. Therefore appropriate standards with an almost identical chemical composition as the analysed material are required, and the relative fragment mass intensity of the analyte of interest should follow a linear relationship with its concentration in the standard. For quantification in biological systems internal standards are often used to derive a calibration curve, or sensitivity factors are estimated from a model matrix [15]. For the quantification of Ca in healthy trabecular bone the standards should consist of collagen with 60–70 wt% of mineralised hydroxyapatite (HAP) or correspondingly less for osteoporotic bone. Once the quantification with ToF-SIMS is reliable, distinct additional benefit is gained. ToF-SIMS has a higher lateral resolution in contrast to XPS, and in comparison with BMDD from SEM images, ToF-SIMS allows to distinguish unequivocally between different elements (e.g. differentiation of Sr and Ca).

2 Methods

2.1 Preparation of the mineralised collagen standards

Scaffolds from mineralised collagen I [16] were prepared by synchronous mineralisation of a collagen type I solution according to a method developed by Bradt et al. [15]. The procedure was published in detail elsewhere [17].

To describe the procedure briefly, acid-soluble collagen type I isolated from calf skin (Collaplex 1.0, GfN, Wald-Michelbach, Germany) was dissolved in 10 mM HCl and mixed with a CaCl2 solution. The pH was adjusted to 7 by addition of TRIS and phosphate buffer and the mixture then warmed to 37°C for 12 h. Under these conditions collagen fibril reassembly and formation of nano-crystalline HAP occurs simultaneously. The product–homogeneously mineralised collagen fibrils–was collected by centrifugation. By variation of the collagen to calcium and phosphate ratio in the precursor mixture the collagen to mineral ratio in the final product could be adjusted.

To prepare the standards, thoroughly resuspended mineralised collagen was condensed by vacuum filtration using a porous G4 glass filter frit (Schott, Germany) and then cross-linked with an aqueous solution of 1% N-(3-dimethylaminopropyl)-N’-ethyl carbodiimide hydrochloride (EDC; Merck, Germany) for 1 h. Finally, the scaffolds were rinsed in distilled water, in 1% glycine solution, once again in water, and freeze dried.

2.2 XRD of standards

XRD analysis was carried out in scanning mode with Cu Kα and Cu Kβ radiation on a Panalytical X’Pert PRO instrument. The Cu anode was operated at 40 kV and 40 mA. Samples were rotated during measurement. For the data analysis only Cu Kα lines were used, and the XRD pattern was compared with entries in the ICSD database.

2.3 X-ray photoelectron spectroscopy (XPS)

XPS measurements were carried out with a PHI 5000 Versaprobe Scanning ESCA Microprobe (Physical Electronics) using a monochromatic Al Kα X-ray source (hv = 1486.6 eV).

2.3.1 Analysis of the standards

Quantitative analysis of the standard samples was performed by recording detailed spectra for the elements of interest. An x-ray spot size of 100 μm diameter was used and the analyser pass energy was set to 23.5 eV. After subtraction of a Shirley-type background function, elemental concentrations were calculated from the peak areas by applying the appropriate sensitivity factors (provided by the instrument manufacturer). Assuming that all Ca originates from HAP (formula Ca5(PO4)3OH), the HAP content is evaluated on the basis of the Ca content in at% and wt%.

2.3.2 Analysis of bone cross sections

Elemental mapping was carried out for C 1s (for energy calibration) O 1s, N 1s, P 2p and Ca 2p lines with a pass energy of 93.9 eV and a spot size of the focussed x-ray beam of 15 μm in diameter at 2.5 W. The energy interval of each signal was partitioned into sixteen intervals, each of them was than assigned to one specific channel of the multi-channel detector to reduce measurement time. The analysed area was 500 × 500 μm2 divided in 128 × 128 pixels.

In addition to the XPS imaging detailed point spectra were recorded on the same areas that were investigated by mapping. We therefore selected three spots of interest on every sample, which were a) on the trabecular structure, b) on the edge of the trabecular and c) on an area far away from the trabecular. Here, we recorded detail spectra for C 1s (for energy calibration) O 1s, N 1s, P 2p and Ca 2p with a spot size of 15 μm in diameter at 2.5 W. The pass energy was set to 23.5 eV. Elemental concentrations were calculated as described above.

For evaluation of the HAP content of the bone samples we used a calibration factor F (F = 1.15), which was determined by the ratio of the measured and the nominal Ca content obtained by the analysis of pure hydroxyapatite as reference material. Further details of the XPS analysis of calcium phosphate phases and systematic errors of calculated Ca and P concentrations are described elsewhere (Kleine-Boymann M, Rohnke M, Sann J, Henss A, Janek J, Differentiation of biologically relevant calcium phosphate phases by surface-sensitive techniques, submitted to Appl Surf Sci).

2.4 Time-of-flight secondary ion mass spectrometry (ToF-SIMS)

ToF-SIMS data of the standards and bone samples were collected in the positive ion mode on a TOF.SIMS 5–100 machine (IonTOF Company, Münster, Germany) equipped with a bismuth cluster primary ion source (25 keV) and Cs, O2 and C60 sputter guns. Spectra were acquired using 25 keV Bi3 + primary ions (~0.3 pA pulsed current) with a primary ion dose of ~7·1012 cm-2, 100 μs cycle time and operated in the high-current-bunched mode (hc-bu). Ions were registered within the mass range from m/z = 1 to 800 u with high mass resolution of about 6000 FWHM (full width half maximum) at m/z = 29.00 u (e.g. the fragment CHO) and a spatial resolution of < 10 μm. Six to seven measurements were taken of each prepared standard material on different areas of 49.5 × 49.5 μm2 with 128 × 128 pixels and 50 scans. The analysis of the Ca concentration of trabecular bone was carried out by measurement of 3–5 areas of a size of 49.5 × 49.5 μm2 on the trabeculae of each sample. After normalization to the applied primary ion current, the mean values for the Ca signal intensity of the various groups were calculated. Due to the linear dependence of the normalized Ca-signal intensity from the HAP content of the scaffolds, a linear fit was possible and a linear equation (1) was obtained. The equation reveals the dependence of the signal intensity (I (counts)) from the HAP content (x (wt%)) by the factor , slope of the line respectively. So for the subsequent calculation of the HAP content equation (1) was used.

The mass image was taken in the low current bunched mode (lc-bu), where good mass resolution is combined with an optimized lateral resolution of about 1 μm. The applied primary ion current was 0.13 pA.

2.5 Sample preparation of bone cross sections

For the application and testing of the calibration curve bone samples from a long-term small animal model for osteoporosis induction were used. Osteoporosis was induced in female Sprague–Dawley rats by ovariectomy (OVX) combined with a special multi-deficiency diet. The animal study was performed in full compliance to the German animal protection laws and was approved by the ethical commission of the local governmental institution (“Regierungspräsidium” Giessen, Germany, permit number: 89/2009 & 20/10-No. A31/2009). The protocol and procedures employed in the animal experiment were reported previously in detail [18].

Vertebrae samples of three different groups were analysed: A sham group with 13 animals (time of euthanasia in months, number of animals; 3, 7; 12, 6), OVX + diet group with 14 animals (3, 7; 12, 7) and the reference group with 8 animals at the beginning of the experiment (0, 8). After euthanasia at distinct times (0, 3, and 12) the vertebrae samples were embedded in poly methyl methacrylate (Technovit 9100; Heraeus Kulzer, Hanau, Germany) and afterwards cut and ground into slides of 20 μm–50 μm thickness.

2.6 Statistical analysis

The data were checked for statistical significance by the one-way ANOVA test accompanied by Games-Howell pair wise multiple comparisons to determine the variation of the Ca content in each group, among groups at particular times and throughout the whole experiment. The asterisks indicate the significance level (* p < 0.05, ** p < 0.01, *** p < 0.001). The results were expressed as mean and standard error. The statistical analysis was done using the software IBM SPSS Statistics 20.

3 Results and discussion

The mineralised collagen scaffolds have been synthesized in a synchronous biomineralisation process leading to a nano-composite material of collagen fibrils and nano-crystalline HAP. The formation of an apatite-like phase has been proven by x-ray diffraction (XRD), shown in Figure 1. The scaffolds have also been characterized in detail by infrared spectroscopy (IR) [19] and SEM [17] and its micro-porous 3-D modification by SEM and TEM [20]. Several samples with different HAP content (weight per cent) were produced by varying the ratio of collagen and calcium phosphate precursor. To reveal the exact composition, the samples were ashed completely and the Ca content was calculated from the residue. Previous studies showed that the scaffolds still contain a small part of water but apart from that they are exclusively composed of collagen and minerals. So the HAP content was found to be 54–81 wt% with 14–41 wt% collagen, which is an appropriate composition for the use of these materials as standard materials for the quantification of healthy and osteoporotic bone via ToF-SIMS. The results of the bulk analysis are given in Table 1.
Figure 1

X-ray diffraction pattern (XRD) of nano-crystalline hydroxyapatite (HAP) mineralised on a collagen scaffold (CuK radiation). The pattern from ICSD database is shown in red colour.

Table 1

HAP content of the mineralised collagen scaffolds


S 1

S 2

S 3

S 4

S 5





Bulk (Ignition) HAP (wt%)










Surface (XPS) HAP (wt%)










HAP content evaluated by ignition loss and by XPS measurements (surface content): The mean error for the quantification by XPS accounts to ±10%.

As ToF-SIMS is a purely surface sensitive technique in the static mode, only the uppermost molecular layers are analysed. Inhomogeneous samples or surface segregation can result in different bulk and surface compositions. Thus, bulk information (like HAP content) as determined by ignition loss of the standard materials is not feasible in any case for the quantitative evaluation of the Ca content with ToF-SIMS. Therefore XPS was applied as a surface sensitive and quantitative method to determine the surface content of Ca. Based on this, the HAP content was calculated assuming the sum formula Ca5(PO4)3OH. A typical survey spectrum is shown in Figure 2a. It indicates the main components carbon, oxygen, calcium and phosphorous, as expected. The results of the quantification of the HAP content at the surface are given in Table 1. They show a significant systematic deviation to lower values from the bulk values obtained by ashing. McLeod et al. also found a significant difference between the Ca/P ratio of bulk and surface for deposited layers of HAP [21]. They also detected a decreased Ca/P ratio on the surface compared to the bulk material. This might be due to a Ca deficit on HAP surfaces like observed by us with our standards and which has been reported in other studies as well [22, 23]. Figure 2b shows the linear correlation between the measured surface concentration of Ca and the bulk content of HAP (wt%) given by ignition loss of the samples.
Figure 2

XPS survey spectrum and cross correlation for surface and bulk concentrations. a) Exemplary XPS survey spectrum of a mineralised scaffold showing the five compositional elements Ca, P, N, C, O and b) the linear relationship of the HAP content evaluated by XPS versus the HAP content determined by ignition residue of the mineralised collagen standards.

The subsequent ToF-SIMS analysis of the standards showed mass signals (ion, m/z value;) of HAP and collagen like Ca+, 39.96; Ca2PO4 +, 174.87; Ca3PO5 +, 230.83; Ca5P3O12 +, 484.12 and C4H8N+, 70.07 for example. A typical positive mass spectrum with some more labelled HAP fragments is given in Figure 3b. The comparison with mass spectra of mineralised tissue reveals almost identical mass spectra with characteristic peaks and fragmentation patterns of HAP and collagen, which are well known from our study of bony tissue amongst others [11, 24]. The plot of the obtained signal intensities of Ca versus the surface concentration obtained from XPS measurements results in a linear relationship, see Figure 3c. This linear correlation is an important prerequisite for the target quantification. It demonstrates that the matrix effect is negligible within the concentration ranges of about 9–76 wt% HAP and that quantification is well possible. Nevertheless, the error bars indicate an appreciable deviation of the Ca signal intensities measured with ToF-SIMS. The surfaces of the standards were surely not ideally planar which influenced the signal intensity and is responsible for part of the error. However, despite of the effect of the sample roughness the linear relationship between Ca signal intensity and Ca content clearly indicates that the samples are suitable standards within the error tolerances for a first approach of Ca quantification of bone.
Figure 3

ToF-SIMS data from standards and rat bone. a) Schematic graph of the ToF-SIMS analysis of trabecular bone. b) Positive ion mass spectrum of a mineralised scaffold showing the expected HAP fragments up to high masses [24]. c) Linear dependence of the normalized Ca-signal intensity from the HAP content of the scaffolds. Linear fit and the linear equation are shown. d) Summary of the Ca quantification results for different groups and different times after osteoporosis induction in rats.

After analysis of the standards several cross sections of rat vertebrae were analysed using the same measurement conditions. The osteoporotic induction applied over several months allows a tracking of the degradation of the bone which comes along with a reduction of the bone mineral content and density [18]. In a previous study these results were confirmed by a semi quantitative analysis of the Ca content [11]. Applying the linear equation (1) of diagram 3c, the semi-quantitative evaluation is improved to become a truly quantitative analysis of the HAP content as shown in Figure 3d. The results are given in Table 2.
Table 2

HAP content of rat trabeculae of various groups at different times evaluated by ToF-SIMS

Time (months)


Norm. Ca-Intensity (counts)

ΔIntensity (counts)

Content HAP (wt%)

ΔHAP (wt%)































Mean values and deviation from the mean value of the normalized Ca-signal intensities determined for different groups and different times after osteoporosis induction and the corresponding absolute HAP content (wt%) evaluated by equation (1). ∆HAP is given by the standard error of the slope of Figure 3c.

The obtained mean values for the HAP content of the analysed trabeculae agree well with the realistic range of HAP concentration for healthy bone. It is known that healthy bone consists of about 70% HAP [25], which is in fairly good agreement with the result of 62% HAP at the beginning of the animal experiment (reference group). Due to the maturing of the animals an increase of the HAP content is expected and is documented by 76% HAP after 3 months for the sham operated, healthy animals. Beside this a remarkable and statistical significant reduction of about 50% of the HAP content for the osteoporotic animals (OVX + diet group) can be found. However, the extreme reduction revealed by ToF-SIMS measurements is plausible and a qualitative comparison with BMD evaluated by DEXA measurements shows the same tendencies although not to this extent [18]. Due to the experimental conditions, like the Ca and Vitamin D deficient diet, wide regions of the trabeculae are not mineralised anymore, which indicates rather osteomalacia than osteoporosis. The non-mineralised collagen matrix with small remains of Ca in the centre of the trabecular has been described in more detail in our previous study [11]. After histological and serological investigations El Khassawna et al. also conclude the development of osteomalacia in this rat model [26]. In consequence the Ca quantification might become more complicated due to measurement of non-mineralised regions which might result in too low Ca values for the OVX and diet group.

To further validate the ToF-SIMS measurements and the quantification by the calibration curve, several cross sections were analysed by XPS allowing quantification and elemental mapping. The elemental mapping of the Ca 2p and N 1s signal is shown in Figure 4a1 and 4a2. The Ca 2p signal allows the identification of the mineralised structure of the trabeculae while the N 1s signal corresponds to the collagen matrix of the vertebrae. To quantify the mineral content of the trabeculae detail spectra were recorded from the mineralised regions. The results are given in Table 3 and are in good agreement with the Ca content evaluated by the ToF-SIMS measurement. Due to the spatial resolution of only 15 μm a spatially selective analysis of trabeculae with only 50 μm in diameter is not very precise as the unintended measurement of bone marrow or embedding material will falsify the result. ToF-SIMS offers a much better lateral resolution and indeed enables analysis with sufficient spatial resolution. Figure 4b1 and 4b2 show ToF-SIMS images recorded with a lateral resolution of 1 μm for comparison with the XPS-map of the same region (Figure 4a).
Figure 4

XPS and ToF-SIMS Ca and collagen distributions in bone cross sections. XPS (a1, a2) and ToF-SIMS (b1, b2) images of the same area of a non-osteoporotic vertebra of a 12 months sham rat. Mapping of the Ca 2p intensity (a1) represents the mineralised part while mapping of the N 1s intensity (a2) represents the collagen structure of the trabeculae. The corresponding ToF-SIMS images of the Ca+- and C4H8N+- signals also represent the mineralised part (b1) and the collagen matrix (b2) but with a much better lateral resolution.

Table 3

HAP content of osteoporotic and non-osteoporotic trabeculae evaluated by XPS and ToF-SIMS


12 months sham

12 months diet

XPS analysis






























Calculated HAP (wt%)





Corrected HAP (wt%) XPS





HAP (wt%) ToF-SIMS



By calibration curve

HAP content of osteoporotic (12 months diet) and non-osteoporotic (12 months sham) trabeculae of the rat. The evaluation of the HAP content by XPS and ToF-SIMS measurement is described in the Methods section. The error for the quantification by XPS amounts to 10% while for ToF-SIMS the error accounts to 6%, given by the standard error of the slope of Figure 3c (equation (1)).

Finally, we like to note that further improvements will be possible. Trabecular bone does not consist of pure HAP, rather it is known that HAP is only the final phase of matured bone. During the process of bone formation different Ca phosphate phases like amorphous calcium phosphate (ACP) or octa calcium phosphate (OCP) are formed [27]. At the end of this process usually a Ca deficient HAP phase is found. Moreover, the matured HAP is not a pure hydroxyapatite mineral. Also other anions like fluoride or carbonate are part of the crystal structure [28]. Therefore our current approach to equate the Ca content with the HAP content of the bone samples according to the formula Ca5(PO4)3OH should only be considered as a first successful step. It is a quite challenging task to synthesise and test standards, which are comparable to natural bone in composition, lattice structure of the crystalline component, density and surface roughness. However, optimized standards will help to further improve the validity of ToF-SIMS data.

4 Conclusions

Calcium quantification by ToF-SIMS is possible, however, the quality of the results is strongly affected by the surface properties of the standards. Although the standards consisted of collagen and HAP comparable to normal bone–which makes the matrix-effect differences of the standards and bone negligible–the surface roughness is not really suitable for the ToF-SIMS measurements. Despite the influence of the surface morphology, the present results are encouraging. A linear relation is obtained between the Ca secondary ion counts rate and the Ca concentration of the prepared standards. The application of the calibration data to natural rat bone samples leads to plausible results, which were cross-checked by XPS measurements. As the ToF-SIMS analysis offers information on both organic and inorganic components of osseous tissue with high spatial resolution, the quantification of the Ca content based on the ToF-SIMS measurements might become a useful and complementary method to assess bone quality and damage. Future work on improved standards will allow a more precise quantification with smaller error. The mapping of various Ca concentrations and of different calcium phosphate phases to track the mineralisation process will be further useful applications of ToF-SIMS.



We gratefully acknowledge funding and support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the collaborative research centre–SFB/TRR 79 “Materials for tissue regeneration within systemically altered bone”, projects M5, M4 and T1.

Authors’ Affiliations

Institute of Physical Chemistry, Justus-Liebig-University of Giessen
Centre for Translational Bone, Joint and Soft Tissue Research, Technische Universität Dresden
Laboratory of Experimental Trauma Surgery, University of Giessen
Department of Trauma Surgery, University Hospital of Giessen-Marburg


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