The analysis of burned remains is a highly complex process, and a better insight can be gained with advanced technologies. The main goal of this paper is to apply X-ray diffraction, partially supported by infrared attenuated total reflectance spectroscopy to determine changes in burned human bones and teeth in terms of mineral phase transformations. Samples of 36 bones and 12 teeth were heated at 1050°C and afterwards subjected to XRD and ATR-IR. The crystallinity index was calculated for every sample. A quantitative evaluation of phases was documented by using the Rietveld approach. In addition to bioapatite, the following mineralogical phases were found in the bone: β-tricalcium phosphate (β-TCP) (Ca3(PO4)2), lime (CaO), portlandite (Ca(OH)2), calcite (CaCO3), and buchwaldite (NaCaPO4). In the case of bone, besides bioapatite, only the first two mineralogical phases and magnesium oxide were present. We also observed that the formation of β-TCP affects the phosphate peaks used for CI calculation. Therefore, caution is needed when its occurrence and evaluation are carried out. This is an important warning for tracking heat-induced changes in human bone, in terms of physicochemical properties related to structure, which is expected to impact in forensic, bioanthropological, and archaeological contexts.
Autonomous Region of Sardinia1. Introduction
Forensic anthropologists and bioarchaeologists are frequently confronted with the need to study and interpret burned bones. Their importance for forensic investigations and for the study of past populations is unquestionable (e.g., the 9/11 attacks) [1–7].
For example, burned bones from forensic settings include those of fire victims resulting from, among others, vehicle accidents, mass disasters, and house fires. In addition to accidents, in homicides, the victim’s body may be purposely burned by the perpetrator in an attempt to destroy it, thus obstructing the investigation. Indeed, the effect of high temperatures on the human body can undermine and drastically complicate the bioanthropologists’ examination. Regardless of the context, one of the key factors for the correct interpretation of the remains and the reconstruction of the incidents leading to burning is the estimation of the maximum exposure temperature [8–10]. Micro- and ultrastructural analyses on burned skeletal remains are crucial for obtaining a reliable estimation of maximum burning temperature [11]. While macroscopic alterations (e.g., surface colour) can be used to deduce an approximate temperature range [12–15], the investigation of the micro- and ultrastructural alterations of skeletal hard tissue exposed to high temperatures has proven to be crucial to get a reliable estimation of maximum temperature [8, 9, 13, 16–23]. The bone which has been thermally altered shows an increase in crystallinity, exhibiting larger crystals and lower lattice strains [8, 9, 13, 16–31].
The analysis of burned remains is a highly complex process, and with new technologies available, a better insight can be gained. X-ray diffraction (XRD) often combined with Fourier-transform infrared spectroscopy attenuated total reflectance (ATR-IR) techniques is actually widely used to obtain primary material information in forensic and archaeological fields, such as the accuracy of temperature determination and the study of crystallinity [10].
The crystallinity index (CI), frequently reported in literature and quantified by ATR-IR or XRD, gives precious information about the mean changes in hydroxyapatite (HA) crystal size and microscopic structural order of tissues [32–39].
Recently improved FT-IR approaches and statistical methods for the comparability of CI results have been established [40]. However, the CI does not characterize individual crystal features (e.g., size or morphology) and may fail to describe adequately the complexity and heterogeneity of heat-induced processes [41]. In fact, when bioapatite is subjected to a strong thermal treatment, we can find also a multiphase condition for the resultant product due to the transformation of a part of HA to the β-tricalcium phosphate (β-TCP) and other phases detected in different percentages among bones and teeth [23, 30, 42, 43]. The presence of β-TCP as well as the presence of other mineralogical phases due to various taphonomic effects can strongly alter the calculation of the CI and other ratios (C/P and Am/P or Am/C) to a nonnegligible level [41].
That is why a multidisciplinary approach is always advisable, possibly with the combined use of various physicochemical techniques.
The aim of this work is to demonstrate that only the combined use of XRD and ATR-IR techniques can document the various reactive transformations of the apatite phase. This is done by analyzing three experimentally burned human skeletons as well as 12 teeth at 1050°C for one hour of residence.
2. Materials and Methods
The human bone samples were taken from three different unidentified skeletons, previously inhumed at the Capuchos cemetery (Santarém, Portugal) for a minimum of three years and afterwards donated to the University of Coimbra. They have the same provenance as the unclaimed skeletons of the 21st century identified skeletal collection housed at the Laboratory of Forensic Anthropology of the University of Coimbra (Portugal) [44]. The three skeletons (CC/NI/16, CC/NI/17, and CC/NI/18) are from unidentified individuals who were nonetheless estimated to be adult females based on anthropological examinations [45].
The skeletal remains were cleaned and macerated. The most superficial region of the bones was discarded with a scalpel to avoid possible contaminated samples and only then bone powder sampling took place. Samples were then concealed in Eppendorf pellets until the XRD analysis was performed. The CC/NI/16 samples comprised the humerus, radius, ulna, femur, tibia, calcaneus, talus (see Figure 1), and ribs 9 and 10, all from the left side. Additionally, sampling of a thoracic vertebra was carried out for this skeleton. The CC/NI/17 samples comprised the right ulna, radius, tibia, and fibula as well as two thoracic and two lumbar vertebrae.
Four examples of burned bones used in this study: (a) CC/NI/16, left calcaneus; (b) CC/NI/17, left talus; (c) CC/NI/16, comparison between unburned right femur and burned left femur; and (d) CC/NI/18, comparison between unburned and burned thoracic vertebra. The burned vertebra was affected by heat-induced shrinkage, thus explaining its substantial smaller size in comparison to the unburned vertebra.
Finally, the CC/NI/18 samples were composed of the clavicle, humerus, radius, and ulna, all from the right side. Samples from one cervical, two thoracic, and one lumbar vertebra were also collected.
The 12 human molar teeth employed in this study were kindly made available from the Department of Animal Biology, Plant Biology and Ecology, Autonomous University of Barcelona (Spain).
The experimental burning of the bones from the unidentified skeletons was carried out in an electric muffle (Barracha K-3, three-phased 14A model). The bones were all subjected to gradually increasing heating from room temperature to 1050°C, which took 240 min to achieve. The muffle was then allowed to cool down to room temperature. In total, 48 samples were collected for XRD and ATR-IR analyses.
The 12 molar teeth for this experiment were heat-treated with a heating rate of 20°C/min at 1050°C for 60 minutes in air using a NEY muffle furnace. 0.5 g of each sample was ball milled in an agate jar for one minute using a SPEX Mixer/Mill model 8000, to get enough powder for the XRD and ATR-IR analyses.
2.1. XRD Analysis
A small fraction (190 mg) of powdered bones was deposited in a dedicated sample holder for XRD analysis with a circular cavity of 25 mm in diameter and 2 mm in depth. The XRD patterns were collected using the Bruker D2 PHASER instrument working at a power of 30 Kv and 10 Ma in the Bragg–Brentano vertical alignment with a Cu-Ka tube emission (λ=1.5418Å). The width of divergent and antiscatter slits was 1 mm (0.61°). Primary and secondary axial Soller slits of 2.5° were also mounted with a linear detector LYNXEYE with 5° opening and a monochromatisation by Ni foil for the Kβ radiation. The powder patterns were collected in the angular range 9–140° in 2θ with a step size of 0.05°. The collection time of each pattern was pursued for 47 min.
Digitized diagrams were subjected to the analysis by the HighScore® and Match® programs which are able to locate the peak position in the 2θ reciprocal scale. The succession of peaks is compared with data from literature based on a search-match algorithm able to recognize the phase composition. The raw data were further analysed using the Rietveld approach for quantitative evaluation of phases.
The Rietveld method [46, 47] is based on an iterative best-fit strategy of experimental data. We have made use of the MAUD (Material Analysis Using Diffraction) program which simulates the pattern by incorporating the instrument function and convolving the crystallographic model based on the knowledge of chemical composition and space group with selected texture and microstructure models [48]. The program permits a selection of variables for the least squares minimization such as lattice parameters of the unit cell, atomic positions, temperature factors, occupancy of the sites, an/isotropic size, and strain broadening.
The success of the procedure is generally evaluated throughout a combination of integrated agreement factors (Rwp is the most considered) and distribution of residuals [47].
2.2. ATR Analysis
FT-IR spectra were collected in ATR mode with a Bruker Alpha Platinum-ATR interferometer in terms of absorbance versus wavenumber ν in the range 370–4000 cm−1, with a resolution of 4 cm−1. Each spectrum was obtained by averaging 512 interferograms. The loose powder was dispersed inside a hole cavity of spheroidal shape with its surface aligned to the plate defining it.
2.3. Crystallinity Index
The crystallinity index adopted here is the same as has been used in the majority of archaeological applications. The absorption bands at 605 and 565 cm−1 were used following baseline correction, and the heights of these absorptions peaks were summed and then divided by the height of the minimum between them [32].
3. Results
Thermally treated bones showed a very interesting variability. On a total of 48 samples burned in a muffle at 1050°C for 2 hour of residence, the following mineralogical phases were found in addition to bioapatite, namely, β-tricalcium phosphate (β–TCP) (Ca3(PO4)2), portlandite (Ca(OH)2), calcite (CaCO3), lime (CaO), and buchwaldite (NaCaPO4) (see Table 1).
List of the XRD phase investigation of the three modern human individuals, according to the Rietveld analysis. The uncertainty for the phase amount is calculated on the basis of statistical assumptions on the residual behaviour but generally holds about 10% of its value when the fit is carried out correctly. The value for the mostly used agreement factor Rwp (which is a test for the goodness of the fit) in the refinement stage is also reported in the latter column. The average crystallite size of the hydroxyapatite mineral phase (1 Å = 10−10 m) and CI from ATR-IR analysis have also been reported.
Individual code
Bone sample
Crystallographic phases (wt%)
Bioapatite averageCrystallite size/(Å) (±10%)
Rwp (%)
CI
CCNI16
Left femur proximal
Bioapatite 89
1602
7.8
4.73
(Ca(OH)2) 9
(CaO) 2
CCNI16
Left femur distal
Bioapatite 92
2200
8.9
5.30
(Ca(OH)2) 3
(CaO) 3
(CaCO3) 1
CCNI16
Left tibia proximal
Bioapatite 94
2027
8.98
5.17
(Ca(OH)2) 3
(CaO) 3
CCNI16
Left tibia distal
Bioapatite 89
2100
9.00
4.83
(CaO) 5
(CaCO3) 2
(Ca(OH)2) 2
(NaCaPO4) 2
CCNI16
Left humerus proximal
Bioapatite 86
2057
8.00
5.84
(Ca(OH)2) 9
(CaO) 5
CCNI16
Left humerus distal
Bioapatite 84
1800
8.4
5.85
(Ca(OH)2) 10
(CaCO3) 4
(CaO) 2
CCNI16
Left ulna proximal
Bioapatite 84
1993
8.02
5.20
(Ca(OH)2) 12
(CaO) 4
CCNI16
Left ulna distal
Bioapatite 94
1800
9.6
4.40
(CaO) 3
(CaCO3) 2
(Ca(OH)2) 1
CCNI16
Left radius proximal
Bioapatite 89
2031
8.6
5.76
(Ca(OH)2) 8
(CaO) 3
CCNI16
Left radius distal
Bioapatite 92
1970
9.4
4.91
(CaO) 3
(CaCO3) 1
CCNI16
Left rib 9th anterior distal
Bioapatite 98
1970
9.57
5.30
(CaO) 2
CCNI16
Left rib 9th anterior proximal
Bioapatite 96
1850
9.00
5.17
(CaO) 3
(CaCO3)1
CCNI16
Left rib 10th anterior distal
Bioapatite 98
1900
9.00
4.74
(CaO) 1
(CaCO3) 1
CCNI16
Left rib 10th anterior proximal
Bioapatite 99
1540
7.8
4.70
(CaO) 1
CCNI16
Left calcaneus
Bioapatite 93
1594
9.94
5.63
(Ca(OH)2) 4
(CaO) 3
CCNI16
Left talus
Bioapatite 88
1629
9.9
5.00
(Ca(OH)2) 9
(CaO) 3
CCNI16
Thoracic vertebrae
Bioapatite 99
1550
9.33
5.13
(CaO) 1
CCNI16
Thoracic vertebrae
Bioapatite 92
2097
8.2
5.59
(CaO) 5
(Ca(OH)2) 3
CCNI17
Right ulna
Bioapatite 71
1847
6.5
4.64
β-TCP 29
CCNI17
Right fibula
Bioapatite 68
1750
6.6
4.22
β-TCP 32
CCNI17
Right tibia
Bioapatite 96
1633
12.6
5.15
(CaO) 3
β-TCP 1
CCNI17
Right radius
Bioapatite 97
1715
11.2
4.80
(CaO) 3
CCNI17
Vertebra I
Bioapatite 95
2062
9.1
5.10
(CaO) 2.5
β-TCP 2.5
CCNI17
Vertebra II
Bioapatite 98
1849
13.9
4.86
(CaO) 1
β–TCP 1
CCNI17
Vertebra III
Bioapatite 91
2023
8.7
4.90
β-TCP 9
CCNI17
Vertebra IV
Bioapatite 70
1790
6.4
4.50
β-TCP 30
CCNI18
Right clavicle
Bioapatite 89
2025
9.04
4.87
β-TCP 11
CCNI18
Right humerus
Bioapatite 86
1766
8.8
5.60
(Ca(OH)2) 11
(CaO) 3
CCNI18
Right fibula
Bioapatite 98
2477
8.05
5.00
(CaO) 2
CCNI18
Right radius
Bioapatite 97
2011
10.3
5.42
β-TCP 2
(CaO) 1
CCNI18
Right ulna
Bioapatite 97
2073
9.5
5.11
β-TCP 2
(CaO) 1
CCNI18
Right tibia
Bioapatite 96
2800
9.4
5.02
(CaO) 4
CCNI18
Vertebra I
Bioapatite 100
2000
10.5
5.71
CCNI18
Vertebra II
Bioapatite 100
2837
8.88
6.10
CCNI18
Vertebra III
Bioapatite 100
1780
9.5
5.50
CCNI18
Vertebra IV
Bioapatite 100
1907
9.06
5.43
In detail, portlandite was found in 13 specimens (weight fraction range from 2 to 12 wt%), β-TCP in 10 specimens (from 1 to 32 wt%), lime in 27 specimens (from 1 to 5 wt%), calcite in 7 specimens (from 1 to 4 wt%), and buchwaldite in 1 case (2 wt%). Only in 4 cases, bones have remained unaltered, bioapatite 100% (CC/NI/18 individual), apart from the microstructure features assessed from peak sharpening and the organic component, which is expected to be removed from the bone with the thermal treatment carried out.
The average crystallite size of the examined bioapatite varies from a lower value of 1540 Å (CC/NI/16_left rib 10 anterior proximal) to an upper value of 2837 Å (CC/NI/18_vertebra II) (mean = 1950 Å). The crystallinity index varies from a lower value of 6.10 (CC/NI/18_vertebra II) to an upper value of 4.22 (CC/NI/17_right fibula) (mean = 5.14).
An emblematic case is represented by the sample CC/NI/17_right fibula, in which the bioapatite after the heat treatment at 1050°C has partially transformed into β-TCP. The Rietveld analysis is reported in Figure 2. The experiment (data points) was fitted satisfactorily (Rwp = 6.6%) with the full line after including structure information from the mineral bioapatite (68.0 wt%) and β-TCP (32.0 wt%).
CC/NI/17_right fibula represents one of the rare bone specimens showing a partial transformation to β-TCP. According to Rietveld analysis, the amount of bioapatite is 68 wt% and 32 wt% belongs to β-tricalcium phosphate. The residuals are reported on the top of the graph for ease of presentation.
As for the teeth, only three mineralogical phases were detected in addition to bioapatite: β-TCP in 11 specimens (from 2 to 44 wt%), lime in 4 specimens (from 1 to 4 wt%), and magnesium oxide (MgO) in 4 specimens (from 1 to 3 wt%) (see Table 2).
List of structure and microstructure parameters of bioapatite structure in teeth from phase analysis by XRD and the associated ATR-IR CI.
Sample code
Part of the body
Crystallographic phases (wt%)
Bioapatite averageCrystallite size/(Å) (±10%)
Rwp (%)
CI
T1
Upper left 1st molar
Bioapatite 55
1375
10.45
3.24
β-TCP 44
(MgO) 1
T2
Upper right 1st molar
Bioapatite 97
1709
9.36
4.37
β-TCP 2
(CaO) 1
T3
Lower left 3rd molar
Bioapatite 57
1456
7.22
3.42
β-TCP 42
(MgO) 1
T4
Upper left 3rd molar
Bioapatite 74
1631
8.22
3.42
β-TCP 25
(MgO) 1
T5
Upper left 2nd molar
Bioapatite 90
1830
10.39
4.39
β-TCP 8
(CaO) 2
T6
Lower right 2nd molar
Bioapatite 87
1870
7.57
3.81
β-TCP 11
(CaO) 2
T7
Upper left 1st molar
Bioapatite 89
1822
10.60
4.29
β-TCP 8
(MgO) 3
T8
Lower left 3rd molar
Bioapatite 78
1613
10.07
3.57
β-TCP 22
T9
Upper right 3rd molar
Bioapatite 93
1580
8.6
3.70
β-TCP 7
T10
Lower right 1st molar
Bioapatite 67
1740
11.00
3.51
β-TCP 33
T11
Upper left 1st molar
Bioapatite 90
1900
7.6
3.61
β-TCP 10
T12
Lower left 1st molar
Bioapatite 96
1900
7.7
4.89
(CaO) 4
The teeth have a lower crystallinity compared to the bones; in fact, the average crystallite size varies from a lower value of 1375 Å (T1 tooth) to an upper value of 1900 Å (T11 tooth) (mean = 1702 Å). The crystallinity index varies from a lower value of 3.24 (T1 tooth) to an upper value of 4.89 (T12 tooth) (mean = 3.85).
Figure 3 represents an extreme case (T1 sample), in which the analysis of the correspondent XRD pattern has established the presence of the 44% β-TCP phase for such specimen.
The XRD pattern of T1 tooth heated up to 1050°C for 1 hour. The phase analysis suggests that the material is a mixture of bioapatite (55 wt%) and β-TCP (Ca3(PO4)2) (44.0 wt%), with a minor contribution of MgO.
Figure 4 shows the ATR-IR spectra of three burned teeth (from bottom to top: T1, T3, and T4, resp.). The spectra are reported in the wavenumber ν ranging from 400 to 1500 cm−1.
ATR-IR spectra of three human teeth heated at 1050°C that are particularly noteworthy because they present a significant amount of β-TCP (from bottom to top, T1 = 44 wt%, T3 = 42 wt%, and T4 = 25 wt%, resp.) detected with XRD. The deformation of the ν4 band is observable, as well as the presence of an additional peak at 1123 cm−1 (in T1 and T2 specimens) due to the presence of β-TCP.
It is possible to recognize two main groups of bands in the range of 500–700 cm−1 and 1000–1200 cm−1, which are generally assigned to the energy mode ν4 of phosphate groups and ν3 of phosphate groups, respectively. An additional peak at about 1123 cm−1 (see Figure 3) in T1 and T3 samples as indicated by arrows is attributable to β-TCP.
Particularly, the ν4 band of the phosphates present in the ATR-IR spectrum can provide a variety of supporting information to XRD analysis, due to numerous deformations and displacements of the band shape and to the CI calculation.
In detail, Figure 5 highlights the band structure of ν4 phosphate groups in the range 500–700 cm−1 of representative samples; Figure 5(a) shows the conventional pattern of CC/NI/18_vertebra II sample in which the bioapatite phase remained unchanged after the experimental heating (HA = 100%), as far as its crystal structure is concerned; the presence and the intensity of the shoulder at about 629 cm−1 indicate the occurrence of high thermal treatments [49]. The larger average crystallite size (2837 Å) detected by XRD is coherent with the high value of CI (6.10).
A detailed comparison of different FT-IR curves collected for three different bioapatite specimens: (a) CC/NI/18_vertebra II, (b) T4 tooth, and (c) T1 tooth with the corresponding XRD Rietveld phase evaluation. The distortions of ATR-IR ν4 phosphate band with respect to the conventional expected behavior are strictly related to the amount of the β-TCP phase which was stimulated by the high-temperature treatment. Particularly, when the presence of β-TCP is massive (≥20%), the ν4 band appears strongly deformed due to the overlap with the ν4 band of bioapatite (see the deformation of the peak at 563 cm−1), and also, the CI calculation is problematic.
CC/NI/18_vertebra II
T4 tooth
T1 tooth
Figure 5(b) documents the case (T4 tooth) in which the presence of β-TCP is rather substantial; in fact, the ν4 band begins to slightly overlap with the ν4 band of bioapatite (evidenced by the additional peaks at 456 and 555 cm−1 indicated by arrows).
Figure 5(c) represents the extreme case of T1 tooth when the presence of β-TCP is massive (44%); in fact, the ν4 band appears strongly deformed due to the complete overlap with the ν4 band of bioapatite (see the deformation of the peak at 555 cm−1 with the presence of two further peaks at 546 and 563 cm−1, resp.). In such cases, the CI calculation is problematic and the value is unusually low when compared to that of other burned bone samples.
4. Discussion and Conclusive Remarks
The occurrence of β-TCP can follow from a chemical reaction according to which Ca10(PO4)6(OH)2 is subjected at high temperature, giving 3(Ca3(PO4)2) + CaO and water vapour H2O.
(1)2Ca5PO43OH→3Ca3PO42+CaO+H2O
If water (H2O) evaporates completely, we observe the presence of CaO; alternatively, incomplete evaporation develops into Ca(OH)2. It depends on the speed of cooling after the burning process.
Recent studies [50] have attempted to clarify the transformation of a Ca-deficient synthetic apatite to β-TCP. Upon heating (calcining) to 710 ± 740°C, the Ca-deficient apatite will transform to the low-temperature polymorph of β-TCP, with the loss of water as described by
(2)Ca9HPO4PO45OH→3Ca3PO42+H2Owhere CaO is missing with respect to the 2(Ca5(PO4)3(OH)) conventional formula recognized for bioapatite.
NaCaPO4 and MgO are also observed in very small quantities probably as a consequence of impurities in the starting bone material.
The presence of β-TCP phase from bones appears to be sporadic and seems to occur only at high temperatures, around 1100°C [43]. Conversely, in our previous work, we observed a more systematic occurrence of β-TCP in teeth specimens at temperatures as low as 750°C [41].
The reason why β-TCP appears in teeth at a relatively moderate temperature in comparison to bones is still obscure; it may be related to the fact that bones and teeth have different compositions and histologies, and further studies need to be addressed by acquiring information about chemical species and following the crystal structure parameters.
Our results demonstrate that the use of the CI for bioanthropological inferences such as those related to temperature estimation [8, 9, 35, 39] and to the determination of bone quality and preservation [32, 33] is not a straightforward procedure. Since the generation of β-TCP can affect the phosphate peaks located at the wavelength of interest for CI calculation, one should be especially careful whenever such peaks present anomalous shapes.
This paper alerts to this problem since implications for fields that incorporate bone analyses may be major.
Conflicts of Interest
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgments
This work was partially supported by the Autonomous Region of Sardinia (LR3/2008-R.Cervelli and S. Politiche), with the research project titled “Archaeometric and Physico-Chemical Investigation Using a Multi-Technique Approach on Archaeological, Anthropological and Paleontological Materials from the Mediterranean area and Sardinia.”
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