Journal of Structural Biology 163 (2008) 175–184
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Journal of Structural Biology
journal homepage: www.elsevier.com/locate/yjsbi
Microstructure and crystallographic texture of Charonia lampas lampas shell
S. Ouhenia a,b,*, D. Chateigner a, M.A. Belkhir b, E. Guilmeau a
a
b
Laboratoire CRISMAT-ENSICAEN (CNRS UMR 6508), Université de Caen Basse-Normandie, 6 bd M. Juin, 14050 Caen, France
Laboratoire de physique, faculté des sciences exactes, Bejaia 06000, Algeria
a r t i c l e
i n f o
Article history:
Received 10 April 2008
Received in revised form 13 May 2008
Accepted 14 May 2008
Available online 23 May 2008
Keywords:
Biomineralisation
Aragonite
Organic matrix
Texture
XRD
X-ray diffraction
Charonia
a b s t r a c t
Charonia lampas lampas shell is studied using scanning electron microscopy and X-ray diffraction combined analysis of the preferred orientations and cell parameters. The Charonia shell is composed of three
crossed lamellar layers of biogenic aragonite. The outer layer exhibits a h0 0 1i fibre texture, the intermediate crossed lamellar layer is radial with a split of its c-axis and single twin pattern of its a-axis, and the
inner layer is comarginal with split c-axis and double twinning. A lost of texture strength is quantified
from the inner layer outward. Unit-cell refinements evidence the intercrystalline organic influence on
the aragonite unit-cell parameters anisotropic distortion and volume changes in the three layers. The
simulation of the macroscopic elastic tensors of the mineral part of the three layers, from texture data,
reveals an optimisation of the elastic coefficient to compression and shear in all directions of the shell
as an overall.
Ó 2008 Elsevier Inc. All rights reserved.
1. Introduction
Biogenic crystals attract large attentions because of their superior properties on many aspects. While commonly involved in skeletal support or protection of cells and soft tissues, some
biomineralized structures also have evolved to fulfil highly specific
functions in demanding environments. For example, the iron
oxide-based magnetosomes used to orient bacteria in the earth’s
magnetic field (Sakaguchi et al., 1993; Bazylinski, 1996), and the
radula teeth used by chitons to scrape nutrients off rocks in the
intertidal zone (Lowenstam, 1967). The process of biomineralisation is realised with a minimum consumption of energy and a precise control on the polymorphism and crystal morphology
(Ouhenia et al., 2008) on a nanometre-scale by the use of organic
macromolecules secreted by the organism according to its genetic
programming.
The complete understanding of biomineral development processes is still subject to debates and strongly motivated by their
potential utility in industrial and biomedical applications (Murphy
and Mooney, 2002). A deeper understanding of the mineralisation
process and the mimicking of complex structures produced by nature in laboratory may have a significant impact on many fields
such as the development of new composite materials, drug delivery, bone replacement, device fabrication in microelectronics and
optoelectronics. For instance, aragonitic biominerals, like nacre
* Corresponding author. Address: Laboratoire CRISMAT-ENSICAEN (CNRS UMR
6508), Université de Caen Basse-Normandie, 6 bd M. Juin, 14050 Caen, France.
E-mail address: salim.ouhenia@ensicaen.fr (S. Ouhenia).
1047-8477/$ - see front matter Ó 2008 Elsevier Inc. All rights reserved.
doi:10.1016/j.jsb.2008.05.005
layers from Pinctada magaritiferra, are ideal biomedical implants,
and thanks to their high aspect ratio, aragonite crystals can be used
as reinforcements in composite materials (Sugawara and Kato,
2000).
Molluscan shells are fascinating examples of high performance
organic/inorganic biocomposite materials. Although the organic
components represent only about 1–5% the weight of the shell
(Hare and Abelson, 1965; Cariolou and Morse, 1988), they provide
nanoscale precision of control over shell fabrication and are
responsible for the remarkable enhancement of the strength and
elasticity of the material as compared to geological mineral. The
toughness of red abalone nacre Haliotis rufescens is 3000 times
higher than the value for pure aragonite (Currey, 1977; Jackson
et al., 1990; Kamat et al., 2000), and toughening mechanisms deduced from the crack propagation behaviour in nacre are attributed to the structural relationship between the organic
macromolecules and inorganic crystals (Chen et al., in press; Smith
et al., 1999). Molluscan shells are mainly built of two polymorphs
of calcium carbonate: calcite and aragonite. Most of the organic
phase is located between crystallites (intercrystalline), but some
organic molecules (intracrystalline) are also intercalated within
the crystalline lattice. Recently, using very precise synchrotron
measurements, Pokroy et al. (2004, 2006) have shown that the biogenic unit-cell is anisotropically distorted compared to the nonbiogenic reference, a distortion attributed to the incorporated
intracrystalline organic molecules.
In this work, the preferred crystallographic orientation of the
aragonitic shell of the Gastropod Charonia lampas lampas is examined using X-ray texture and unit-cell combined analysis. Based on
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S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
the combination of quantitative texture formalism and Rietveld
refinement, this approach allows to work on the real layers of
the shell without necessity of powderisation, and provides the orientation distributions of the three layers of the shell, together with
their unit-cell refinement. We examine the correspondence between textures and morphology (as seen by scanning electron
microscopy) of the shell structures. The unit-cell anisotropic distortions are discussed in terms of intercrystalline and intracrystalline influences. Finally, the macroscopic elastic behaviour of the
mineral parts of the layers is simulated and discussed.
2. Experimental
2.1. Materials
The Gastropod C. lampas lampas (Linnaeus 1758) is a large Mediterranean Sea and Eastern Atlantic carnivorous mollusc from the
Ranellidae (tritons and trumpet shells) family (Beu, 1985, 1987),
Tonnoidea superfamily, Caenogastropoda. This species is one of
the 17 species protected by the Bern convention for the Mediterranean sea. We collected a 15 cm large shell from a deceased animal
(Fig. 1a) from the coast of Bejaia, in the north east area of Algeria
(North Africa). The inorganic part of the shell is only composed
of aragonite (CaCO3, Pmcn space group). An SEM image at low
magnification (Fig. 1b) of the C. lampas lampas fractured shell studied here shows three distinct layers which we will refer to outer,
intermediate and inner layers from top to bottom, respectively.
In order to carry out X-ray diffraction analysis, we removed a
piece of the shell (Fig. 1a) from the dorsum, as flat as possible
(for technical reasons, the sample for texture analysis needs to
be close to planar, uneven surfaces giving rise to uncontrolled
defocusing and absorption of the beam). This piece was centred
on a (G, N, M) frame defined by the main shell directions identified
using optical microscopy (Chateigner et al., 2000):
– The growth direction, G, perpendicular to the margin of the shell
(Fig. 1) is the vertical axis of our pole figures.
– The plane tangent to the shell at the beam location, defined by
the sample holder plane, has its normal, N, as the normal axis in
the centre of the pole figures.
– The third axis, M, direction of the growth lines of the outer
layer, is horizontal in the pole figures.
We first measured the exterior of the shell (the outer layer),
then removed this layer with a diluted solution of HCl to analyse
the intermediate layer, and repeated the same operation with the
intermediate layer to measure the inner one in the same
conditions.
2.2. Characterisation
We examined the shell microstructures of gold-sputtered fractured cross-sections using a Zeiss scanning electron microscope
(SEM) with an accelerating voltage of 3 kV. X-ray diffraction measurements were carried out using a four-circle goniometer (Huber)
mounted on a X-ray generator (Cu Ka radiation) equipped with a
curved position-sensitive detector (CPS-120, Inel) covering an angle of 120° (2h resolution 0.03°). A 5° 5° grid measurement in tilt
and azimuthal angles was carried out to cover the whole pole figure, resulting in 936 diagrams measured for each layer. The use of a
CPS detector accelerates considerably the data acquisition compared with point detectors, and gives access to other parameter
refinements than texture, like cell parameters, atomic positions,
etc. Pole figure data are normalised into distribution densities
and expressed as multiple of a random distribution (mrd), which
is equivalent to volume percentage per 1% area. A specimen with
no preferred orientation has pole figures with constant values of
1 mrd. In order to deconvolute instrumental resolution function
from sample data, we fitted this latter using a LaB6 (SRM660b)
standard from NIST. All data were analysed within the so-called
‘‘Combined Analysis” formalism (Chateigner, 2004) using the
MAUD software (Lutterotti et al., 1999). The orientation distribution (OD) of crystallites was refined using the E-WIMV model (Lutterotti et al., 2004), and peaks extraction was carried out using the
Le Bail approach. No residual stress could be visible in the layers.
3. Results and discussion
3.1. Scanning electron microscopy
Fig. 1. (a) The Charonia lampas lampas shell studied in this work. (b) Cross-section
SEM image of the fractured shell at the location indicated in (a). G, M and N indicate
the Growth, Margin and Normal directions, respectively.
The terminology of shell microstructures is usually based on the
morphology of sub-units as observed in thin-sections with a petrographic microscope or with SEM. We describe the layer microstructures using the terminology of Carter and Clark (1985), but
we emphasise that these definitions only represent a terminology
(the names are convenient brief summaries of observed morphologies), not necessarily a statement of homology (Chateigner et al.,
2000). We use ‘first-order’ and ‘second-order’ lamellae to describe
increasingly fine microstructural elements with morphological distinction. For instance, simple crossed lamellar structure is composed of first-order lamellae (approximately 20 lm), each of
which is composed of second-order lamellae (0.1 lm in thickness).
If the plane of lamellae is parallel to the margin (the edge) of the
shell (M), the structure is ‘‘comarginal”, but if it is perpendicular
to it, then the structure is ‘‘radial”.
S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
177
Fig. 1b shows the three layers of a broken section of the Charonia shell, with the outer layer on top of the figure, the plane of the
fracture being inclined relative to (G, N). At this scale and using this
inclination, all three layers exhibit crossed lamellae. The outer
layer exhibits first-order lamellae parallel to the margin, like in
comarginal crossed lamellar structures, but at several places the
first-order lamellae deviate strongly from the M direction. The
intermediate layer is composed of crossed lamellae closely parallel
to the growth direction, like in a radial crossed lamellar structure.
Finally, the inner layer shows lamellae parallel to M, like a comarginal layer. The total width of the sample at this location in the
shell is around 1.5 mm, half of the thickness being dedicated to
the intermediate layer, while the two other layers roughly occupy
equivalently the remaining space.
Fig. 2a shows a zoom of the outer layer at a place where first-order lamellae are comarginal. Each first-order lamellae (approximately 15 lm thick) is composed of second-order lamellae
(Fig. 2b) extending at least on several micrometres and with a
thickness of about 0.1 lm. We also notice that there is only one orientation of the second-order lamellae in all adjacent first-order
lamellae.
Fig. 3 shows details of the intermediate radial crossed lamellar
layer. We can distinguish in this layer the existence of two types of
lamellae from the orientation of their second-order lamellae. These
latter make an acute angle (Fig. 3a) close to 90° between two adjacent first-order lamellae. A detailed view of the second-order
Fig. 3. SEM images of the first (a) and second (b) order lamellae of the intermediate
radial crossed lamellar layer.
lamellae (Fig. 3b) indicates a thickness around 100 nm, a width
extending to the whole width of the first-order lamellae (around
10 lm in this species), and a length out of the range of our image.
If at some places the first-order lamellae from this layer appear at
90° from the ones of the outer layer, this is not the case everywhere
(Fig. 1b) at the scale of 1 to several millimetres.
The detailed image of the inner comarginal crossed lamellar
layer (Fig. 4) shows much more regularity in the lamellae stacking.
The width of the first-order lamellae is around 15 lm, while the
second-order lamellae are again around 100 nm thick. The angle
between the long axis of second-order lamellae from two adjacent
first-order lamellae is as for the intermediate layer around 90°. The
first-order lamellae from this inner layer are perpendicular to the
ones of the intermediate layer.
3.2. Texture analysis results
Fig. 2. SEM images of: (a) the outer comarginal lamellae (b) the second-order
lamellae composing the first-order ones.
The combined analysis refinements operated on the three layers
converge to reasonably good solutions with low reliability factors
and goodness-of-fits (GoF) not above 3.05 (Table 1). The Rietveld
reliability factors could seem large compared to the literature R
factors on single diagrams. However, one should bear in mind that
these factors depend on the number of data points. In our case this
latter is large (nearly 1.8 106), since we analyse each 2h diagram
in the 28–85° range with a 0.03° equivalent step (1900 points/diagram) and 936 diagrams. The texture reliability factors are also low
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S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
Fig. 4. SEM images of the first (a) and second (b) order lamellae of the inner
comarginal crossed lamellar layer.
compared to similar texture strengths from the literature (Chateigner, 2005), as a sign of a good definition of the OD for the three
layers. The inner layer, however, exhibits the largest factors and
GoF. This is mainly due to the relatively large scanning grid used
in the measurement (5° 5°) compared to the sharpness of the
poles, as will be seen later, and is not conditioning our results. A
visualisation of the corresponding refinement quality can also be
visible when looking at the reproduction of the experimental data
using the combined analysis simulation (Fig. 5), on randomly selected diagrams. At few exceptions, the simulated lines correctly
reproduce the experiments, again the inner layer being a bit less
satisfactorily simulated, corresponding to its larger reliability factors. The experimental and recalculated diagrams (Fig. 5d) plotted
in two dimensions clearly reveal the good fits obtained even in the
inner layer. In such a plot the strong texture is clearly visible, with
strong peak intensity variations with the (v, /) specimen orientation. For the three layers the OD minimum values are all zero (Table 1), indicating that all the crystallites are included in the
described components of orientations. From the outer layer inward, the texture index F2 is increasing. This indicates a largest
crystalline organisation closer to the animal, which was already
observed (Chateigner et al., 2000) for many species. The OD maximum value is lower for the intermediate than for the outer layer.
This is due to the presence of two texture components in the former, and does not prompt for a weaker texture.
The outer crossed lamellar (OCL) layer of C. lampas lampas
exhibits an overall texture strength of F2 = 42.6 mrd2 (Table 1)
which is among the moderate texture strengths of gastropod
shells measured up to now (Chateigner et al., 2000). This is
mainly due to the fibre character of the texture (Fig. 5a), as
demonstrated by the homogeneous ring exhibited by the
{2 0 0}, {0 2 0} or {1 1 0} pole figures. Indeed, the {0 0 2} pole figure
shows a strong maximum in its centre around 43 mrd, which is
among high levels for crossed lamellar layers (Chateigner et al.,
2000), but this strength is lowered on overall by the fibre character. This latter pole figure indicates that crystals are aligned
with their c-axis perpendicular to the surface of the shell, with
their mean orientation parallel to N, and a full width at half
maximum of the distribution density (FWHD) around 20°. Such
outer crossed lamellar (OCL) layers exhibiting a fibre texture
are found in some other gastropods like Viana regina, Conus leopardus and Cyclophorus woodianus, the two former species exhibiting weaker orientations for this layer.
The intermediate radial crossed lamellar (RCL) layer texture
shows a texture strength of 47 mrd2 and a maximum of the
Table 1
Parameters resulting from the combined analysis of the outer, intermediate and inner layers of Charonia lampas lampas
Layer
Outer
Intermediate
Inner
a (Å)
b (Å)
c (Å)
4.98563(7)
8.0103(1)
5.74626(3)
4.97538(4)
7.98848(8)
5.74961(2)
4.9813(1)
7.9679(1)
5.76261(5)
Da/a
Db/b
0.0047
0.0053
0.0026
0.0026
0.0038
1 E 05
Dc/c
0.0004
0.001
0.0033
DV/V
OD maximum (mrd)
OD minimum (mrd)
Texture index (mrd2)
1.05%
299
0
42.6
0.62%
196
0
47
0.71%
2816
0
721
Texture reliability factors
Rw (%)
RB (%)
14.3
15.6
11.2
12.7
32.5
47.8
Rietveld reliability factors
GoF (%)
Rw (%)
RB (%)
Rexp(%)
1.72
29.2
22.9
22.2
1.72
28
21.7
21.3
3.05
57.3
47.2
32.8
Parentheses indicate standard deviations on the last digit. GoF, goodness-of-fit. We took as reference unit-cell for non-biogenic crystals: a = 4.9623(3) Å, b = 7.968(1) Å,
c = 5.7439(3) Å (ICDD Card No. 41-1475).
S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
179
Fig. 5. Randomly selected diagrams showing the good reproducibility of the experimental (dots) patterns from the combined analysis refinement (lines) after the last
refinement cycle for the (a) outer (b) intermediate and (c) inner layers. (d) Is a 2D plot of whole diagram datasets for the experimental (bottom) and recalculated (top)
diagrams showing the reproducibility on all the diagrams (here for the intermediate RCL layer). Horizontal axis as 2h, and vertical axis the diagram number from (v,/) = (0,0)
to (60, 355), refined diagrams at top, experiments at bottom.
{0 0 2} pole density around 26 mrd (Fig. 6b). The {0 0 2} pole figure
evidences a split of the c-axis distribution around N, with an opening angle of 20° between the two contributions, parallel to the
(G, N) plane. Each of these two contributions has a FWHD of 10°.
Furthermore, as seen on the {0 2 0} and {2 0 0} pole figures, the orientation of the a- and b-axes in the sample plane features a single
twin distribution (Chateigner et al., 2000) with {1 1 0} twinning
planes. The {1 1 0} pole figure indicates that the major 1 1 0 contri-
bution is for [1 1 0] directions parallel to M. Such a texture was observed in the gastropods Scutus antipodes and Patella (Scutellaster)
tabularis, for their crossed lamellar (CL) and inner radial crossed
lamellar (IRCL) layers, with opening angles of 15° and 25°, and
twinning occurring for 27% and 100%, respectively. The texture of
the RCL layer of C. lampas lampas resembles more the one of the
IRCL of P. tabularis, also from the comparison of their maxima of
the {0 0 2} pole figures. Furthermore, C. lampas lampas exhibits its
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S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
Fig. 5 (continued)
Fig. 6. {1 1 0}, {0 2 0}, {0 0 2} and {2 0 0} recalculated normalised pole figures of the (a) outer (b) intermediate and (c) inner layers. Linear density scale, equal area projections.
main h1 1 0i directions along M, quite as in P. tabularis, while Scutus
antipodes aligns the main h1 1 0i with G.
The inner comarginal crossed lamellar (ICCL) layer of C. lampas
lampas (Fig. 6c) exhibits the strongest texture (Table 1). With a texture index around 721 mrd2 and a maximum of the {0 0 2} pole figure at 102 mrd, this texture is among the strongest observed to
date in shells. This is coherent with the largest organisation of
the lamellae observed using SEM. The strongest 0 0 2 poles are located at 20° from N and two major c-axis components are visible
in the (M, N) plane, forming an opening angle of 40°. However, four
other smaller 0 0 2 poles are visible. These are due to double twinning in this layer, as visible on the {0 2 0} pole figure which shows
six 0 2 0 contributions. In this layer the main {2 0 0} contribution
aligns with G, and the double twinning percentage is of 80%. From
the species of which the texture of the ICCL layer was already studied, Cypraea testudinaria is the only one showing a close texture
pattern with C. lampas, though its a-axis distributions are not
twinned-like (Chateigner et al., 1996).
3.3. Texture and SEM microstructure relationship
It is interesting to notice once more that SEM images could have
induced incorrect crystal orientation definitions, and even misinterpretations of the layer types if not carefully examined. Indeed
for the outer layer, at a first glance, Fig. 2a would indicate a comarginal layer, while texture analysis clearly demonstrates the crossed
S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
lamellae are distributed around N at a larger scale. This layer is
then neither radial nor comarginal, but the orientations of lamellae
vary from a location to the other at a few hundred micrometres
scale. Furthermore, the {0 0 2} pole figure of this layer (Fig. 6a)
shows a unique orientation component, demonstrating that the
plane of the second-order lamellae and their elongated axis are
not corresponding to low indices crystallographic planes and axes,
respectively. The closest crystal planes that would fit the orientation of the observed SEM second-order lamellae are {1 1 1}.
Concerning the intermediate and inner layers, the twofold caxis distribution (Fig. 5b and c, respectively) gives rise to another
degree of freedom for the assignment of specific crystal planes to
the SEM images. The normals to the second-order lamellae are
not aligned with the {0 0 2} poles, and twinning adds to the complexity. The distributions of the {0 0 2} pole components could correspond to the distribution of second-order lamellae orientations
(visible in Fig. 4b, bottom centre), but their planes are not (0 0 2).
The second-order lamellae are again oriented with their normal
at around 40–50° from N for both layers, and as was the case in
the outer layer. It then comes that whatever the crystalline orientation differences observed by X-ray diffraction on the three layers,
their SEM images look similar in terms of platelets orientations
from N. SEM observations are providing neat definitions of how
the microstructure looks at a 10 nm to several 100 lm, but are
not able to visualise twinned patterns, split c-axis or other ordering
patterns at a larger scale, even on a qualitative point of view. For
instance, radial and comarginal CL layers as defined from SEM
can correspond to very different orientations of the crystal axes
in the layers. In the literature, RCL layers are corresponding to different a-axis orientation patterns, which might lead to confusion
when dealing with biomineralisation.
3.4. Texture and phylogeny
Chateigner et al. (1999) introduced a texture terminology for
mollusc shells which groups in one term all the textural information. From the outer to the inner layer, the texture of C. lampas lamE
pas can then be summarised by: h? jOCLj i , h_; 20jRCL h110i;90
,
100
h_; 40jICCL a80 . It is clearly not the purpose of this work to elaborate on the taxonomic location of C. lampas in the gastropod phylogeny based on texture observations, nor to include textural
characters into parcimonial approaches or calculations. But we
wanted to examine if the textural characterisation of this species
at least fits with the actually developed classifications.
Among all the aragonitic layers of gastropods for which a texture term has been described in the literature, which represents
a set of around 50 layers only, the layer species that exhibit split
c-axis are:
- The inner irregular complex crossed
lamellar layer (IICCL) of FisE
h110i
surella oriens: h_; 20jIICCL 83
.
- The ICCL and
RCL layers of ECypraea testudinaria:
E
h110i;75
h_; 15jICCL Ia;10 and h8; 25jRCL 100
, respectively.E
- The IRCL layer of Patella tabularis: h_; 25jIRCL h110i;100
100
- The operculum inside (OI) layer (unpublished result) of Nerita
scabricosta: h_; 45jOIj i .
In the case of F. oriens, the opening angle of the c-axis distribution is smaller than for C. lampas, the crossed lamellar layer is
irregular and the h1 1 0i directions (versus a-axis in C. lampas) are
aligned with G. This tends to put some phylogenetic distance between the two species. The split c-axis are only found in the OI
layer of N. scabricosta, which furthermore exhibits a calcitic outer
layer, and an inner fibre texture. The IRCL of P. tabularis is very
close to the RCL of C. lampas from a textural term point of view,
181
but this is most probably the only close resemblance the two gastropods could reveal! Finally, the simple comparison of the texture
terms of these four species with the corresponding layers of C. lampas is coherent with the relative proximity of this latter with Cypraea testudinaria. C. testudinaria shows other layers (Chateigner
et al., 2000) which all exhibit texture terms different from the
remaining OCL of C. lampas, and it then becomes also coherent to
classify the two species in distinct families, as generally admitted
(Ponder and Lindberg, 1997; Bouchet and Rocroi, 2005).
3.5. Cell parameters and distortion of aragonitic shell
One of the issues of the combined analysis is the refinement of
the structure, in particular the cell parameters of aragonite, together with the texture. Using X-ray diffraction it was not expected
any sensitivity on the C and O atomic positions in the CaCO3 structure because of the larger contrast between electron densities of
these atoms and Ca. The key point of this study is that combined
analysis is able to carry out unit-cell refinement on real samples,
without needs of powderising the specimen even if they exhibit
strong and complex textures. Although we used a laboratory
equipment [Ricote et al., 2004], this latter is resoluted enough to
provide reasonably precise cell parameters and then potentially allows the observation of unit-cell distortions due to organic molecules. In order to verify our poor sensitivity on light atom
positions, we started to release one by one atomic positions, for
the Ca, C and then O atoms successively. Unexpectedly we discovered that the combined methodology gave access with reasonable
standard deviations to all the positions (see below) within comprehensive values. We attribute this to the fact of working on strongly
textured samples (closer to single crystals than to powders), for
which angular information between atomic bounds is stressed by
their coherence in orientations via the OD.
Refined cell parameters are summarised in Table 1 for the three
layers. We observe deviations from the usual non-biogenic aragonite for all cell parameters and layers, a, b and c being larger in the
biocomposite layers of C. lampas lampas except for b in the inner
layer. The increases correspond to relative parameter distortions
ranging from 0% for b in the ICCL layer to 0.53% for b in the Outer
CL layer. As an evidence the cell distortions are anisotropic and the
relative unit-cell volume increase differs in the three layers, being
less pronounced in the intermediate layer. The b and c cell parameters show an opposite evolution from the OCL to the ICCL layers,
while a oscillates and takes its lowest value for the intermediate
RCL layer. Similar cell distortions were already observed in biogenic aragonite layers using high resolution synchrotron instruments (Pokroy et al., 2006), on powderised shells of various
species from the Mollusca. The authors observed much lower cell
distortions, also anisotropic, around three times less than our maximum observation. Using specific sample preparation, the authors
could remove the intercrystalline organics hereby attributing the
cell distortions to the intracrystalline interactions between organic
macromolecules and mineral aragonite. Pokroy et al. (2007) were
able remarkably to associate these distortions to a variation of
the aplanarity of the CO3 groups in the studied species, using atomic position refinement from neutron powder diffraction. In our
case, we worked on real layers, neither powderised, nor bleached
to remove intercrystalline macromolecules. In that sense, a possible intercrystalline effect remains visible as a cell distortion, cumulated
to
the
intracrystalline
influence.
Intercrystalline
macromolecules have been associated to the selection of calcium
carbonate polymorphism (Falini et al., 1996) and to the development of textures in mollusc shells, a process involving a spatial
organisation of macromolecular cells in which the mineral phase
nucleates and orients. However, as soon as intercrystalline organic
matter is able to constrain mineral textures, one cannot exclude a
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S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
possible effect on the crystallite cells. Such an effect would explain
why we observe larger cell distortions than previously observed by
Pokroy and collaborators. But the powderisation of the layers could
also bias the cell distortion analysis. On one hand, strains imposed
by intercrystalline organics, or by layer stacking, could be partially
released during this step or other preparation of the specimen. This
would make difficult the comparison of our results with the ones of
previous authors. On the other hand, the destruction of the biocomposite texture could make the observation of anisotropy more
difficult, as was already shown for crystallite shape analysis (Morales et al., 2005).
The textured layers analysed in this work all show anisotropies
of the cell distortion that are different from the ones coming from
the sole intracrystalline molecular influence. In particular, we do
not observe negative relative distortions on real layers, and the most
distorted cell parameter is not the same in all layers, as a sign of the
crystalline orientation influence on the distortion. In such a way, all
cell parameters are elongated, but this does not correspond to the
establishment of residual stresses occasioned by macromolecule
intercalations, since we did not observed peak shifts when inclining
the sample under X-rays (Fig. 5). Pokroy et al. (2006) demonstrated
a quite constant intracrystalline molecules influence for several seawater gastropod, bivalve and cephalopod species. Among the animal they studied, the phylogenetically closest to Charonia was
Strombus decorus persicus, which also possesses a crossed lamellar
layer. Among all the species they measured, Haliotis lamellosa has
an a priori known texture of its inner columnar nacre layer (its texture should resemble the h0 0 1i fibre ones of H. cracherodi, H. haliotis
and H. rufescens we already measured). The textures and microstructures of Haliotis species and Charonia are very different in character and strength. It then becomes interesting to notice that if
intracrystalline macromolecules can create similar distortion levels
in such distant species, they have probably a very weak role in the
development of the microstructures and textures, these latter being
in turn controlled by intercrystalline entities.
The refined atomic positions for the three layers of Charonia, the
non-biogenic sample taken as reference, and the Strombus results
from Pokroy et al. (2007) are listed in Table 2. One can observe
the low standard deviations obtained even for C and O atoms.
We were not sensitive to the thermal vibrations and did not release
these parameters during the refinements. As Pokroy and collaborators mentioned, one indicator of the structural modifications within the aragonite structure is the distance DZC–O1 = (zC zO1)c
between the carbon atoms and the oxygen planes, a distance that
goes to 0 for calcite and reveals the aplanarity of the CO3 groups.
We observe that this distance in the three Charonia layers increases
from the outer to the inner layer, reaching 0.1 Å in this latter. Interestingly, the average value of DZC–O1 over the three layers is 0.05 Å,
quite the value of the non-biogenic sample. Hence, powderising a
sample like Charonia, if all the intercrystalline effects not removed,
would have given a value close to a non-biogenic specimen, hereby
masking any organic macromolecule effect. Of course such a comparison stands only for Charonia as each layer type (nacre, prismatic, etc.) can provide with different DZC–O1 values giving rise
to different averages. In this species, the aplanarity of the carbonate groups is reinforced in the inner layer (quite twice the one of
the non-biogenic reference), then diminishes inside the intermediate layer, to practically cancel in the outer layer. On many mainly
aragonitic mollusc species a calcitic layer is found on the outer
shell, and this aplanarity decrease towards the outer layer in
Charonia tends to 0 as for calcite. This newly observed behaviour
is for us another expression (together with textural strength decrease) of the control loss from the macromolecules on aragonite
stabilisation farther from the animal.
3.6. Colours to crystalline textures
Pigments at the origin of colours at the surface of many mollusc
shells have been identified either as carotenoids (Koizumi and
Nonaka, 1970, Dele-Dubois and Merlin, 1981), carbohydrates
(Akamatsu et al., 1977), porphyrins (Jones and Silver, 1979), polyenes (Hedegaard et al., 2006). Looking at the organisation of the
crystallites in the outer layers of gastropods and at their colour
patterns on the shell surface might implicate a relationship between the two. For instance, the strong orientation of Helix aspersa
and its inclined brown bands have been shown to follow the same
h0 2 0i directions. C. lampas lampas brownish bands and spots are
aligned with the growing direction. However, texture analysis indicates a fibre texture, meaning that in the plane of the shell surface
there is no systematic crystalline direction aligned with G. This
clearly prevents any relationship between the two crystalline and
colour textures in this species. For gastropod shells with determined textures (Chateigner et al., 2000), many exhibit colour textures on their outer layer whereas crystalline textures are fibres,
e.g., Conus leopardus, Cyclophorus woodianus, Tectus niloticus, Entemnotrochus adansonianus, etc., all belonging to the Prosobranchia.
Table 2
Cell parameters, refined atomic positions and DZ values for Charonia layers, our non-biogenic reference and the Strombus species of Pokroy et al. (2007)
Geological reference
Charonia lampas OCL
Charonia lampas RCL
Charonia lampas ICCL
Strombus decorus
a (Å)
b (Å)
c (Å)
4.9623(3)
7.968(1)
5.7439(3)
4.98563(7)
8.0103(1)
5.74626(3)
4.97538(4)
7.98848(8)
5.74961(2)
4.9813(1)
7.9679(1)
5.76261(5)
4.9694(3)
7.9591(4)
5.7528(1)
Ca
y
z
0.415
0.7597
0.41418(5)
0.75939(3)
0.414071(4)
0.76057(2)
0.41276(9)
0.75818(8)
0.4135(7)
0.7601(8)
y
z
0.7622
0.086
0.7628(2)
0.0920(1)
0.76341(2)
0.08702(9)
0.7356(4)
0.0833(2)
0.7607(4)
0.0851(7)
O1
y
z
0.9225
0.096
0.9115(2)
0.09205(8)
0.9238(1)
0.09456(6)
0.8957(3)
0.1018(2)
0.9228(4)
0.0905(9)
O2
x
y
z
0.4736
0.681
0.086
0.4768(1)
0.6826(1)
0.08368(6)
0.4754(1)
0.68332(9)
0.08473(5)
0.4864(3)
0.6834(2)
0.0926(1)
0.4763(6)
0.6833(3)
0.0863(7)
DZC–O1 (Å)
0.05744
0.00029
0.04335
0.1066
0.031
C
Parentheses indicate standard deviations on the last digit.
S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
In this subclass there is then probably no determined relationship
used by the molecules in the periostracum between colour and
crystal textures. However, up to now, all the strong crystallographic textures observed in the Pulmonata indicate that the
h0 2 0i direction aligns with the coloured bands of the outer layer.
We only found in the literature four species of this order for which
the crystalline texture was determined (H. aspersa, H. pomatia,
Euglandina sp. and Helminthoglypta nickliniana anachoreta) and
our observation cannot be matter for generalisation, but rather if
links exist between macromolecules that induce crystal orientations and the ones responsible for coloured bands, perhaps these
species can serve their determination.
3.7. Elastic anisotropic behaviour of the mineral phase
Preferred orientations condition mechanical properties of
aggregates, in particular when the constituting crystals possess
strong anisotropy of their elastic stiffness constants. We then
wanted to estimate the elastic mechanical behaviour of the different layers of Charonia, as provided by the mineral part. For single
phase materials, the calculation of the OD-weighted average of
the single crystal stiffness tensor provides the specimen macroscopic tensor, under the hypothesis of regular grain boundary
behaviours (Kocks et al., 1998). In this aim and conditions, the geometric mean approach has been shown to be as reliable as more
sophisticated techniques like self-consistent calculations (Matthies
and Humbert, 1995). In the case of shell layers, with their biocomposite nature, we are far from single phase compounds, and crystallite interactions are mainly present at the boundaries. But to
the authors’ knowledge it does not exist at the present time some
methodology to take account of all the complex characteristics of
this composite. With this respect, we only intend in the following
to illustrate what the mineral part of the shell brings as an elastic
behaviour to the ultrastructure.
Table 3 shows the macroscopic elastic stiffness tensors calculated using the geometric mean approach and the orientation distribution of crystallites, for the mineral part of the three layers of
Charonia. For aragonite there are nine independent values for cij,
cii (i = 1–6), c12, c13 and c23, which we took from the literature for
Table 3
Macroscopic elastic stiffness cij tensors (in GPa) for a single crystal of aragonite (Voigt,
1928), and the mineral part of the three layers of Charonia as calculated from the OD
using the geometric mean
Single crystal
160
37.3
87.2
1.7
15.7
84.8
41.2
25.6
42.7
ICCL layer
96.5
31.6
139
13.7
9.5
87.8
29.8
36.6
40.2
RCL
130.1
32.6
103.3
10.3
14.1
84.5
36.3
31.1
40.5
OCL
111.1
32.9
119
13.2
11.8
84.8
32.8
34.6
40.9
183
the single crystal values. In the frame of this calculation, axes 1,
2 and 3 for i and j indices are the M, G and N directions, respectively. One can remark several orientation effects on the macroscopic constants of the layers. First of all, the c33 constant
remains unchanged around 85 GPa whatever the layer, and keeps
quite the value of the single crystal. This is provided by the strong
c-axis orientation with N on average in the three layers. For the
ICCL and RCL layers, one can remark that the c-axis splitting on
average induces a slightly lower c33 than in the OCL layer. This relatively large value ensures rigidity along the normal to the shell. In
the inner layer, the c11 and c22 magnitudes have been reversed
compared to the single crystal, c22 being larger in the ICCL layer.
This comes from the strong alignment of the a-axis along G
(Fig. 6c) in this layer. In the intermediate RCL layer the phenomenon is reversed, with a larger c11 as in the single crystal, giving rise
to a stronger rigidity along M for this layer, with, however, less difference between c11 and c22. The textures of the ICCL and RCL layers then accommodate a strong rigidity alternatively along G and
M, making a stack which beneficiates of a strong c11 coefficient
along the two main directions in the shell plane. Interestingly,
the c11 c22 quantity decreases from the inner to the outer layers,
revealing the progressive through thickness anisotropy decrease.
In the h0 0 1i fibre texture of the OCL layer, this difference is quite
0, indicating and equivalent response of the mineral to compression along G and M, and other in-plane directions. All the off-diagonal cij coefficients are homogenised in the layers, being much less
anisotropic than in the single crystal. This is a way to moderate
transverse deformations in the shell as an overall on the three layers. The shear coefficients c44, c55 and c66 also obey a balancing tendency from one layer to the other, and in particular c44 and c55.
Again here the overall shell composed of the alternate orientations
of the layers possesses maximum shear coefficients along all the
directions of the whole shell.
To summarise, from an elastic anisotropic theory point of view,
the stacking of the three crossed lamellar layers with strong textures behave, only looking at their mineral parts, in an optimised
manner relative to compression and shear. The alternating shapes
of the orientations provided by the animal operate the largest stiffness coefficients in all directions of the whole shell for these two
types of solicitation.
4. Conclusion
SEM and X-ray diffraction characterisation have been used to
investigate a C. lampas lampas shell. SEM investigations reveal that
this species is composed of three distinct, inner comarginal crossed
lamellar, intermediate radial crossed lamellar and outer crossed
lamellar layers. Using the X-ray diffraction combined analysis approach we determined quantitatively the textures of the three layers, their respective aragonite unit-cell distortions, and the
macroscopic elastic tensor of their mineral parts. Textures of the
three layers are very strong, with an overall decrease of the texture
strength from the inner layer outward. While the inner and intermediate layers show regular texture patterns for crossed lamellae,
with split c-axis component around the shell normal and double
and single twinning patterns for their a-axis, respectively, the outer crossed lamellae appear randomly distributed around c in the
outer layer, at the few mm2 scale, giving rise to a fibre texture.
The texture information is coherent with the usually admitted gastropods phylogeny for this taxon. An anisotropic unit-cell distortion is quantified for the three layers without necessity of
powderising them. These distortions are attributed to the combined effects of inter- and intracrystalline macromolecules, by
comparison with other authors works. No colour to crystalline texture relationship could be detected in this species. Finally the sim-
184
S. Ouhenia et al. / Journal of Structural Biology 163 (2008) 175–184
ulation of the macroscopic elastic tensors of the mineral part of the
layers could be possible using texture data. This simulation shows
that the strong orientations present in the successive layers render
maximum benefits to the shell in terms of rigidity and shear
resistance.
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