Tomas Rosén1,2,3, HongRui He1, Ruifu Wang1, Chengbo Zhan1, Shirish Chodankar4, Andreas Fall5, Christian Aulin5, Per Tomas Larsson3,5, Tom Lindström1, Benjamin S Hsiao1. 1. Department of Chemistry, Stony Brook University, Stony Brook, New York 11794-3400, United States. 2. Department of Fiber and Polymer Technology, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden. 3. Wallenberg Wood Science Center, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden. 4. National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, New York 11793, United States. 5. RISE, Box 5604, 114 86 Stockholm, Sweden.
Abstract
Bio-based nanocellulose has been shown to possess impressive mechanical properties and simplicity for chemical modifications. The chemical properties are largely influenced by the surface area and functionality of the nanoscale materials. However, finding the typical cross-sections of nanocellulose, such as cellulose nanofibers (CNFs), has been a long-standing puzzle, where subtle changes in extraction methods seem to yield different shapes and dimensions. Here, we extracted CNFs from wood with two different oxidation methods and variations in degree of oxidation and high-pressure homogenization. The cross-sections of CNFs were characterized by small-angle X-ray scattering and wide-angle X-ray diffraction in dispersed and freeze-dried states, respectively, where the results were analyzed by assuming that the cross-sectional distribution was quantized with an 18-chain elementary microfibril, the building block of the cell wall. We find that the results agree well with a pseudosquare unit having a size of about 2.4 nm regardless of sample, while the aggregate level strongly depends on the extraction conditions. Furthermore, we find that aggregates have a preferred cohesion of phase boundaries parallel to the (110)-plane of the cellulose fibril, leading to a ribbon shape on average.
Bio-based nanocellulose has been shown to possess impressive mechanical properties and simplicity for chemical modifications. The chemical properties are largely influenced by the surface area and functionality of the nanoscale materials. However, finding the typical cross-sections of nanocellulose, such as cellulose nanofibers (CNFs), has been a long-standing puzzle, where subtle changes in extraction methods seem to yield different shapes and dimensions. Here, we extracted CNFs from wood with two different oxidation methods and variations in degree of oxidation and high-pressure homogenization. The cross-sections of CNFs were characterized by small-angle X-ray scattering and wide-angle X-ray diffraction in dispersed and freeze-dried states, respectively, where the results were analyzed by assuming that the cross-sectional distribution was quantized with an 18-chain elementary microfibril, the building block of the cell wall. We find that the results agree well with a pseudosquare unit having a size of about 2.4 nm regardless of sample, while the aggregate level strongly depends on the extraction conditions. Furthermore, we find that aggregates have a preferred cohesion of phase boundaries parallel to the (110)-plane of the cellulose fibril, leading to a ribbon shape on average.
There is
an increased demand
for renewable and sustainable materials that are biodegradable with
a low carbon footprint, having a low environmental impact as well
as low human/animal health and safety risks. In this regard, cellulose
is the most important source of sustainable materials that can meet
this demand. Cellulose is an almost inexhaustible natural polymer
with annual production rate that is over 2 orders of magnitude higher
than that of synthetic plastics,[1] where
wood is a key source of cellulosic materials on an industrial scale.
The general perception of the high value in woody plants is mainly
due to the strong mechanical properties and good structural integrity
of wood.Nanoscale cellulose, or nanocellulose, can be extracted
from any
higher plants, including both wood and nonwood biomasses. During the
past decades, nanocellulose has shown many applications, although
some are only at the initial stages. Typically, nanocellulose can
be divided into three categories,[2,3] including microfibrillar
cellulose or cellulose nanofibers (CNFs), nanocrystalline cellulose
or cellulose nanocrystals (CNCs), and bacterial nanocellulose (BNC),
each with different fibrillar structure and thus applications. CNCs
and CNFs are manufactured in a top-down manner from the biomass, while
BNC is made from the bottom-up approach.Typically, CNCs are
manufactured through a harsher chemical route
(e.g., acid hydrolysis), resulting in relatively
greater degradation of cellulose chains and thus shorter fibril length,
whereas CNF is produced through a milder route (e.g., oxidation), leading to a higher degree of polymerization in cellulose
chains and longer fibril length.[4] The average
cross-sectional dimensions of CNCs are also larger than those of CNFs.
As a result, we chose to focus on the investigation of CNFs in this
work because this material may better preserve the nascent state of
elementary microfibrils.CNFs were first demonstrated using
comminution equipment, such
as high-pressure homogenizers, microfluidizers, and grinding equipment etc.,[5,6] but it was soon found that such
equipment consumed too much energy for most applications. The impediment
of the high energy can be alleviated by the use of varying chemical
schemes, such as TEMPO-mediated oxidation (with 2,2,6,6-tetramethylpiperidinyloxyl),[7] chemical modification with carboxymethylation,[8] or mild acid or enzymatic treatments.[2] These treatments introduce charged groups on
the cellulose surface, resulting in repulsive forces that greatly
facilitate the fiber delamination process and produce nanocellulose
materials. Due to the complex interactions between charge repulsion
and van der Waals attraction on the surface, nanocellulose materials
are notoriously difficult to characterize, especially when the end
products consist of a mixture of microfibers (partially defibrillated)
and nanofibers, as well as a wide range of length scales from nano-
to millimeters. This has constituted an impediment for commercialization
of cellulose nanomaterials.Recently, an extensive review on
characterization methods of cellulose
nanomaterials has been published.[9] In spite
of the thorough discussion of varying methods in this review, the
use of small-angle X-ray scattering (SAXS) on nanocellulose dispersion
was missing, even though the technique is ideally suited to obtain
statistical information about the individual nanofiber morphology
and dimensions (i.e., the form factor) in dilute
suspension (the structure factor = 1). It has been shown that a typical
cross-section of CNFs extracted from wood determined by SAXS revealed
a ribbon shape with an average thickness between 1 and 3 nm and an
average width between 4 and 8 nm, depending on the extraction condition.[10−13] These results are generally consistent with the average width determined
by transmission electron microscopy (TEM), and the average thickness
determined by atomic force microscopy (AFM). However, these results
are quite different from our knowledge of the elementary microfibril, i.e., the cellulosic building block of any plant cell.The structure of the elementary microfibril is determined by the
structure of cellulose synthase complexes (CSCs) in the plasma membrane
of the plant cell wall. Although
the CSC structure can vary among algae,[14] it is well-known within the biological community that the elementary
microfibrils in higher land plants (e.g., the wood
samples in this work) are synthesized by rosette-shaped CSCs. Both
structure and properties of the individual microfibrils have also
been extensively studied with various methods.[15] However, there has still been an argument with respect
to the number of cellulose chains inside the elementary microfibril,
with a number between 18 to 36.[16] There
is now a growing consensus that as the rosette-shaped CSC contains
six groups of three synthase units (so-called the “hexamer
of trimers” model; see Figure A),[17,18] the elementary microfibril should
contain only 18-chains.[19,20] Nevertheless, the average
dimension of an 18-chain microfibril should be on the order of 2.3–3.6
nm, depending on the chain arrangement;[21,22] this dimension
is quite different from the cross-sectional dimensions typically observed
in nanocellulose.
Figure 1
Illustration of cellulose
nanofibers (CNFs). (A) Six proteins arranged
in rosette complexes in the cell wall of plants synthesize three cellulose
chains per protein continuously that assemble into an elementary microfibril
(containing 18 cellulose chains). (B) Representative TEM image of
CNFs extracted from wood (sample no. 3 in Table ). The arrows highlight regions of aggregated
microfibrils; the scale bar indicates 100 nm. (C) Cross-section distribution
of CNFs dependent on the degree of fibrillation (DOF), where lower
DOF means that a larger mass fraction of microfibrils are part of
cross-sectional aggregates. The model system in this work assumes
the microfibrils form aggregates of 2 of 4 unit fibrils. (Illustration
(A) was created by Dr. Thomas Splettstößer of SCISTYLE,
Berlin.)
Illustration of cellulose
nanofibers (CNFs). (A) Six proteins arranged
in rosette complexes in the cell wall of plants synthesize three cellulose
chains per protein continuously that assemble into an elementary microfibril
(containing 18 cellulose chains). (B) Representative TEM image of
CNFs extracted from wood (sample no. 3 in Table ). The arrows highlight regions of aggregated
microfibrils; the scale bar indicates 100 nm. (C) Cross-section distribution
of CNFs dependent on the degree of fibrillation (DOF), where lower
DOF means that a larger mass fraction of microfibrils are part of
cross-sectional aggregates. The model system in this work assumes
the microfibrils form aggregates of 2 of 4 unit fibrils. (Illustration
(A) was created by Dr. Thomas Splettstößer of SCISTYLE,
Berlin.)
Table 1
List of CNF Samples Obtained with
Different Oxidation Methods (i.e., TEMPO-Oxidized
CNF, Noted ”TEMPO”, or Carboxymethylated CNF, Noted
”CM”), Homogenization Conditions, and Total Charge/Degree
of Substitution (DS)
sample no.
oxidation
homogenization
charge/DS
1
TEMPO
1 pass at 550 bar
0.15
2
TEMPO
1 pass at 1700 bar
0.15
3
TEMPO
2 passes at 1700 bar
0.15
4
TEMPO
1 pass at 550 bar
0.19
5
TEMPO
1 pass at 1700 bar
0.19
6
TEMPO
2 passes at 1700 bar
0.19
7
CM
1
pass at 550 bar
0.06
8
CM
1 pass at 1700 bar
0.06
9
CM
2 passes at 1700 bar
0.06
10
CM
1 pass at 550 bar
0.11
11
CM
1 pass at 1700 bar
0.11
12
CM
2
passes at 1700 bar
0.11
13
CM
1 pass at 550 bar
0.22
14
CM
1 pass at 1700 bar
0.22
15
CM
2 passes at 1700 bar
0.22
16
CM
1 pass at 550 bar
0.34
17
CM
1 pass at 1700 bar
0.34
18
CM
2 passes at 1700 bar
0.34
Although, it has been well-known
that macroscale cellulose fibers
can be defibrillated by comminution treatments, the nanoscale material
can also aggregate into macrofibrils,[23] akin to the concept of hornification.[24] Typically, the average cross-sectional dimension of nanocellulose
obtained from kraft pulps using only mechanical treatments is in the
range of 18 and 20 nm,[25,26] which can be determined by TEM
and cross-polarization magic angle spinning CP/MAS13C NMR
studies.[27] However, with the assistance
of chemical modifications, such as oxidation and carboxymethylation,
by introducing charged groups on the cellulose surface, the cross-sectional
dimension of nanocellulose can be drastically decreased. In one study,
the TEMPO-assisted defibrillation process showed that cellulose nanostrips
containing a single layer of parallel chains, holding mostly by interchain
van de Waals forces, could be obtained.[11] The thickness of the nanostrip (around 0.5 nm) was thinner than
that of an elementary microfibril, indicating that intense oxidation
conditions can further delaminate the integrity of the microfibril.The main purpose of this work is to provide a comprehensive description
of the morphology of extracted CNFs on a nanometer scale and how it
relates to elementary microfibrils. The key focus is to understand
the aggregation behavior of elementary microfibrils, leading to different
cross-sectional shapes and dimensions, in nanocellulose samples prepared
by different extraction methods. In specific, two types of CNFs prepared
by TEMPO-mediated oxidation and carboxymethylation methods were used.
On the basis of TEM imaging (Figure B and Supporting Information), the chosen samples all exhibited larger cross-sectional dimensions
than that of the elementary microfibril. This indicated that the resulting
CNFs contained aggregates of microfibrils. This is in line with previous
studies,[11,28] where complementary AFM examination indicated
that CNFs are ribbon shape; findings that clearly suggest that these
aggregates are likely favoring an aggregation direction. To gain insights
into the above subject, combined SAXS and wide-angle X-ray diffraction
(WAXD) measurements of CNF dispersions and freeze-dried samples, respectively,
were carried out. The complementary data were analyzed assuming that
the cross-sectional distribution of CNFs consists of aggregates of
a discrete number of elementary microfibrils, where a system with
higher degree of fibrillation will approach the shape of an individual
unit microfibril according to Figure C. The obtained results agree well with the unit microfibril
with a size of 2.4 nm as well as provide us with the information on
the degree of fibrillation, which would be very useful as a characterization
quantity for nanocellulose. We further discuss the relationship between
the structure and microfibril aggregation mechanisms of CNFs.
Results
and Discussion
Preparation of Cellulose Nanofibers
The samples in
this study were prepared from never-dried wood pulp using either TEMPO-mediated
oxidation or carboxymethylation (CM) methods to incorporate charged
carboxylate groups on the cellulose surface. Through subsequent high-pressure
homogenization, nanofibers were liberated and kept in a stable dispersion
through electrostatic repulsion. In this study, 18 different samples
were prepared, where the chemical method used, degree of homogenization,
and the resulting charge (degree of substitution, DS) are listed in Table (details are given in Methods).
Small-Angle X-ray Scattering of CNF Dispersions
The
samples were diluted to a concentration of 0.1 wt %, and the resulting
dispersions were injected in quartz capillaries and measured using
the solution SAXS technique at the National Synchrotron Light Source
II (NSLS-II), Brookhaven National Laboratory, USA. The structure was
determined using the scattered intensity profile at different scattering
vectors (λ is the wavelength and 2θ
is the scattering angle). The scattered intensity profile mainly resulted
from the form factor of a single nanofiber (the structure factor in
such a dilute suspension is near unity). Since the length scales studied
with SAXS were in the range 1–50 nm, significantly shorter
than the CNF length, the intensity profile only reflected the cross-sectional
distribution of CNFs.[13]
Quantized Polydispersity
Fitting of SAXS Data from CNF Dispersions
The method developed
in this work relies on a simulated SAXS intensity
profile of parallelepiped-shaped CNF particles (Figure ). The scattered intensity of a single parallelepiped
with cross-section A × B and
length L (volume V = ABL) has an analytical form of[29,30]withIn eqs and 2, the cosine operations (cα, cβ, and cγ) represent the projection
of particle unit axes on the detector coordinates. Many parallelepipeds
are sampled with random orientations to simulate a 2D SAXS detector
image, whereby the average intensity I(q) is obtained. In this work, we assume that the cross-section of
an elementary microfibril can be considered as a square unit fibril
with side dimension of d. Furthermore, the allowed
aggregate cross-section will have to be multiples of the unit fibril, i.e., A × B = (1
× 1)d, (2 × 1)d, and (2
× 2)d, etc. With this approach,
we can obtain the volume-averaged (proportional to the mass-average,
which will be used from hereafter, assuming a constant density of
CNFs) scattering curves I(q) of
a predefined set of cross-sectional aggregates. In Figure , we choose to only describe
the cross-section distribution by a set of three allowed aggregates:
(1 × 1)d, (2 × 1)d, and
(4 × 1)d. The fitting procedure thus relied
on finding the optimal prefactors c1×1, c2×1, and c4×1 in the expressiongiven a fixed value of d.
Normalizing the prefactors with their sum equal to 1, the fitted mass
fractions ϕ1×1, ϕ2×1,
and ϕ4×1 of each aggregate type could be estimated.
An example of the procedure is illustrated in Figure A. By iteratively looping through different
values of d in the range 1.5–4 nm, we find
the value of d that minimizes the residuals (Figure B). Even though the
system probably could allow for a wider variety of cross-sections,
the more possibilities we add to the model, the less accurate the
fitting becomes as many different solutions could match the data (since
the set of form factors does not form an orthogonal basis). This is
clearly visible in Figure B, where a set with more allowed shapes results in lower residuals.
However, already at a set with three different shapes as used in this
evaluation, we find indications of nearby solutions with similar residuals
(gray areas in Figure B) that provide clear jumps in the residual curve. This problem becomes
even more severe with a larger set of allowed cross-sections. To maintain
a residual curve with a clear minimum, this set of three shapes was
chosen to represent the system. More details of the fitting method
are provided in Methods.
Figure 2
Illustration of a parallelepiped
model to represent a cellulose
nanofiber with dimensions A, B,
and L, with L ≫ A, B.
Figure 3
Analysis of CNF cross-section
distributions using small-angle X-ray
scattering (SAXS) and fitting of the data using the assumption of
quantized polydispersity. (A) The experimental SAXS data are fitted
with the contributions from 1 × 1, 2 × 1, and 4 × 1
unit fibrils to find the optimal mass fractions of these aggregates;
the inset shows the corresponding Lorentz-corrected curves. (B) Unit
fibril size found by minimizing the residuals of the best fit given
a certain set of cross-sectional aggregates (thick gray/black curves).
Every given unit fibril size provides an optimal combination of aggregate
mass fractions (thin colored curves); the gray highlighted region
indicates unit fibril size intervals where an alternate solution is
found as optimal. (C) Results of the analysis for all samples (1–18)
where every group of three corresponds to increasing homogenization,
and each group to the right has a higher degree of surface charge;
samples 1–6 are TEMPO-oxidized, and samples 7–18 are
carboxymethylated (CM); the fitting results yield unit fibril size
and mass fractions of aggregates from which a degree of fibrillation
(DOF) is calculated; the mean unit fibril size is found to be 2.4
nm.
Illustration of a parallelepiped
model to represent a cellulose
nanofiber with dimensions A, B,
and L, with L ≫ A, B.Analysis of CNF cross-section
distributions using small-angle X-ray
scattering (SAXS) and fitting of the data using the assumption of
quantized polydispersity. (A) The experimental SAXS data are fitted
with the contributions from 1 × 1, 2 × 1, and 4 × 1
unit fibrils to find the optimal mass fractions of these aggregates;
the inset shows the corresponding Lorentz-corrected curves. (B) Unit
fibril size found by minimizing the residuals of the best fit given
a certain set of cross-sectional aggregates (thick gray/black curves).
Every given unit fibril size provides an optimal combination of aggregate
mass fractions (thin colored curves); the gray highlighted region
indicates unit fibril size intervals where an alternate solution is
found as optimal. (C) Results of the analysis for all samples (1–18)
where every group of three corresponds to increasing homogenization,
and each group to the right has a higher degree of surface charge;
samples 1–6 are TEMPO-oxidized, and samples 7–18 are
carboxymethylated (CM); the fitting results yield unit fibril size
and mass fractions of aggregates from which a degree of fibrillation
(DOF) is calculated; the mean unit fibril size is found to be 2.4
nm.The SAXS data from all samples
in Table were fitted
with this procedure. The resulting
values of the unit fibril size d as well as mass
fractions ϕ1×1, ϕ2×1,
and ϕ4×1 are summarized in Figure C. The mass fractions are further
used to define a degree of fibrillation (DOF):Since the mass fraction of ϕ4×1 in essence describes all larger aggregates, the DOF is thus defined
as zero when ϕ4×1 = 1. Similarly, DOF = 1 if
the material is completely fibrillated; i.e., ϕ1×1 = 1.As expected, the best fit of all samples
results in an increasing
DOF, which also increases with a higher degree of homogenization and
charge but independent of the chemical modification scheme. More interestingly,
the best fit of all samples results in a unit fibril around d = 2.4 nm, which is in full agreement with the dimension
expected of the elementary microfibril consisting of 18 cellulose
chains.
Wide-Angle X-ray Diffraction of Freeze-Dried CNF Samples
The cellulose chains inside the CNFs have a crystalline arrangement
that can be characterized through the diffraction signals at wide
angles (q > 0.5 Å–1). However,
due to the strong scattering of water molecules at similar q-values, it is difficult to extract these signals in aqueous
dispersions, especially at low concentrations. Thus, for high-quality
WAXD data, the samples need to be dried. However, normal air-drying
often leads to cocrystallization/hornification, thus influencing the
chain arrangement in the material.[31,32] In order to
maintain the internal structure, the CNF dispersions were freeze-dried
(detailed procedure provided in Methods) and
the structure was analyzed using the WAXD technique. Given the monoclinic
unit cell arrangement in the native cellulose crystal, we can assign
the three prominent diffraction peaks as the result of , (110), and (200) planes in the cellulose Iβ structure (Figure A). In fact, the baseline-corrected WAXD
profile can be deconvoluted into five Gaussian peaks using , (110), (200), and (102) reflections as
well as a broad background peak (commonly referred to as a noncrystalline peak although likely also including higher
order reflections in the crystal;[33] more
details about the deconvolution are given in Methods). The diffraction intensity I and standard deviation
σ of each deconvoluted peak can then be extracted for each sample
to assess the structural changes on a molecular level as a function
of DOF. Each sample was measured twice, with all results plotted in Figure .
Figure 4
Analysis of unit fibril
internal structure by wide-angle X-ray
diffraction (WAXD) of freeze-dried CNFs. (A) Illustration of the deconvolution
procedure. The baseline is subtracted from the experimental data,
which is subsequently fitted with five Gaussian functions corresponding
to known Bragg reflections of cellulose, Iβ. (B) Crystallinity index (CI) based on deconvoluted peak area (XA)
or intensity (XI) versus degree of fibrillation normalized
with the value of sample 1. (C–E) Standard deviation of deconvoluted
peaks normalized with sample 1 (inset indicates the reflection plane
in the cellulose Iβ lattice).
Analysis of unit fibril
internal structure by wide-angle X-ray
diffraction (WAXD) of freeze-dried CNFs. (A) Illustration of the deconvolution
procedure. The baseline is subtracted from the experimental data,
which is subsequently fitted with five Gaussian functions corresponding
to known Bragg reflections of cellulose, Iβ. (B) Crystallinity index (CI) based on deconvoluted peak area (XA)
or intensity (XI) versus degree of fibrillation normalized
with the value of sample 1. (C–E) Standard deviation of deconvoluted
peaks normalized with sample 1 (inset indicates the reflection plane
in the cellulose Iβ lattice).The crystallinity of dried cellulose is often assessed
by calculating
a crystallinity index (CI), based on either the area under the diffraction
profile (CI-XA) or relative intensity (CI-XI) of the deconvoluted
peaks. However, it has been found previously that the absolute values
of these measures are somewhat unreliable,[21] but the relative trends remain the same. Here, we also calculate
the CI based on previous methodology[21] and
normalizing the value with the value of sample 1 (i.e., the first measurement). The results are shown in Figure B. It was found that the crystallinity
decreased quite dramatically as DOF increased. This trend was also
observed from the previous work of Daicho et al.,[21] where the phenomenon could be attributed to
the effect of surface chains being more disordered. In other words,
with higher DOF, more surface is exposed and, consequently, there
are more disordered chains in the sample. It has been proposed that
less crystalline domains could be located in discrete regions along
the fibril giving rise to a “kinked” shape of fibrils.[34] We will make no further assumption about the
origin of the amorphous scattering and, rather, focus on the cross-sectional
arrangement of chains giving rise to the primary peaks , (110), and (200).To assess more specifically
how the molecular arrangement changes
with increasing DOF, we evaluated the shape of the deconvoluted primary
peaks corresponding to the , (110) and (200) reflections.
Although
no trend was found in terms of relative peak height, the width of
the deconvoluted (Gaussian) peaks showed a clear trend in Figure C–E: the peak became narrower, while the (110) and
(200) peaks became broader.With respect to the WAXD analysis,
we emphasize that the deconvolution
method applied here is just a way of parametrizing the WAXD signal
and observing trends in the extracted parameters. Although the ”true”
peak shapes might not be Gaussian and the spectra might include other
minor peaks, including more parameters to the fitting will lead to
overfitting, resulting in a large uncertainty of the parameters. We
find that 5 peaks (i.e., 10 free parameters) including
the baseline subtraction are sufficient to describe the WAXD profile
and therefore a more complicated deconvolution is not performed.
Modeling the Molecular Arrangement of CNFs
The main
results from the SAXS analysis of the CNF dispersions revealed a likely
fibrillation scenario with gradual breakdown of larger, flat aggregates
into single elementary microfibrils. We speculate that the cohesion
of the microfibrils are likely formed shortly after the biosynthesis
between nearby rosette complexes and would therefore be arranged in
parallel. Although other cross-sectional aggregates might form during
processing, the electrostatic repulsion from the charged carboxylate
groups and Brownian motion would probably render them short-lived.
Furthermore, the WAXD analysis (Figure C–E) revealed certain trends of the deconvolution
parameters describing the primary peaks, indicating that the chain
arrangement in the cross-section also changes with the degree of fibrillation.With these considerations in mind, we made a simple model of the
internal unit fibril structure to simulate the WAXD profile. Since
the primary peaks arise from the structure factor of cellulose chains
in a cross-sectional segment, we could assume any variation along
the fibril axis negligible and only consider the 2D arrangement of
chains. Furthermore, the chain itself including the arrangement on
an atomistic scale is modeled with a simple coarse-grained form factor
but is also playing a minor role as will be demonstrated later.We first define a large number of hypothesized scenarios of the
unit fibril shape and preferred aggregation directions based on the
surfaces of the unit fibril. Note that, throughout this work, we will
denote the aggregation direction (hkl) as the direction
perpendicular to the (hkl)-diffraction planes. Five
different types of unit fibrils were tested, which are summarized
in Figure :
Figure 5
Cross-sectional models of the unit fibril noting the orientation
of surface planes. (A, B) Irregular hexagonal 18-chain model H1+ and
H1–. (C, D) Semihexagonal 18-chain model H2+ and H2–.
(E, F) Rectangular 20-chain model R1+ and R1–. (G, H) Rectangular
18-chain model 5a and 5b. (I, J) Rhomboidal 18-chain model Rh1+ and
Rh1–. (I) Rhomboidal 18-chain model Rh2.
Model H1: an irregular hexagonal
18-chain model described
by, e.g., Daicho et al.,[21] which has surfaces parallel to all three reflection
planes, , (110), and (200).Model H2: a semihexagonal 18-chain model, with primary
surfaces parallel to and (110) planes.Model R1: a rectangular 20-chain model, with primary
surfaces parallel to and (110) planes.Model R2: A rectangular 18-chain model described by, e.g., Newman,[35] with primary
surfaces parallel to and (110) planes.Model Rh1: A rhomboidal 18-chain model, with primary
surface parallel to (200) and either or (110) planes.Model
Rh2: A rhomboidal 18-chain model similar to a
model proposed by Fernandes et al.,[23] with primary surface parallel to (200) and (010) planes.Cross-sectional models of the unit fibril noting the orientation
of surface planes. (A, B) Irregular hexagonal 18-chain model H1+ and
H1–. (C, D) Semihexagonal 18-chain model H2+ and H2–.
(E, F) Rectangular 20-chain model R1+ and R1–. (G, H) Rectangular
18-chain model 5a and 5b. (I, J) Rhomboidal 18-chain model Rh1+ and
Rh1–. (I) Rhomboidal 18-chain model Rh2.Each model has two possible arrangements to promote either a larger
(110) surface (models denoted “+”) or a larger surface (models denoted “–”),
except model Rh2. The simulated WAXD profiles using 11 proposed models
(Figure ) under the
above assumptions are illustrated in the Supporting Information, where the most likely scenario (the results are
shown in Figure )
is found using the following procedure.
Figure 6
Modeling of WAXD profiles
from CNFs. (A) Internal cellulose structure
of the different cross-sectional aggregates modeled by a unit fibril
(model H2+ in Figure ) and cohesion/aggregation of phase boundaries parallel to the (110)
plane. (B) Structures in panel A Fourier-transformed to yield approximations
of the WAXD signals given the mass fractions extracted from the SAXS
analysis in Figure . (C–E) Standard deviation of deconvoluted peaks of simulated
WAXD curves normalized with sample 1, compared with mean experimental
trends from Figure C–E.
Modeling of WAXD profiles
from CNFs. (A) Internal cellulose structure
of the different cross-sectional aggregates modeled by a unit fibril
(model H2+ in Figure ) and cohesion/aggregation of phase boundaries parallel to the (110)
plane. (B) Structures in panel A Fourier-transformed to yield approximations
of the WAXD signals given the mass fractions extracted from the SAXS
analysis in Figure . (C–E) Standard deviation of deconvoluted peaks of simulated
WAXD curves normalized with sample 1, compared with mean experimental
trends from Figure C–E.First, the cross-sectional arrangement
(structure factor) of the
cellulose chains is decided by the specific model in Figure . The cross-sectional (projected)
electron distribution of a chain is modeled as a binary ellipse (major
axis aligned with the 200 planes), with three different dimensions
(semiaxes): 3 Å × 0.5 Å, 2 Å × 0.75 Å,
and 1 Å × 1 Å.In Figure A, three
types of fibril aggregates are shown, using the scenario of unit fibril
model H2+ and chain form factor of 3 Å × 0.5 Å with
cohesion of the surfaces parallel to the (110) plane. The cellulose
chain projection image for each aggregate is then Fourier-transformed
to obtain the approximate mass-averaged WAXD signal, which is shown
in Figure B (more
details are given in Methods). Given the extracted
mass fraction of each aggregate obtained from the SAXS analysis, we
can simulate the total WAXD profile for each sample (black curve in Figure B).Given the
11 unit fibril models with varying aggregation directions
and three different chain form factors, the simulation study resulted
in 72 different hypothetical scenarios. The simulated WAXD profile
of each scenario was parametrized with the same deconvolution method
as that for the experimental data. This allowed us to evaluate the
shape of the deconvoluted peaks in the simulations and compare them
with the experimental results. The comparison of the width of the
deconvoluted peaks from the simulations with the trends from Figure C–E are shown
in Figure C–E.
It was found that only a few scenarios followed the correct trend; i.e., the peak became narrower while the
(110) and
(200) peaks become broader. These scenarios are summarized in Table .
Table 2
Resulting Simulated WAXD Data from
Hypothetical Scenarios (Figure C–E) Matching the Trends Found in Experimental WAXD
Data (Figure C–E)
model
aggregation direction
modeled cross-sectional CNF chain
dimensions
H1+
(110)
3 Å × 0.5 Å
H2+
(110)
3 Å × 0.5 Å
R1+
(110)
3 Å × 0.5 Å
Rh1+
(110)
3 Å × 0.5 Å
H1+
(110)
2 Å × 0.75 Å
H2+
(110)
2 Å × 0.75 Å
H2–
(110)
2 Å × 0.75 Å
R1+
(110)
2 Å × 0.75 Å
R1–
(110)
2 Å × 0.75 Å
R2–
(110)
2 Å × 0.75 Å
H2+
(110)
1 Å × 1 Å
R1+
(110)
1 Å × 1 Å
R1–
(110)
1 Å × 1 Å
R2+
(110)
1 Å × 1 Å
It is interesting to see that the results in Table are highly consistent
with preferred aggregation/cohesion
of surfaces parallel to the (110) plane and, thus, clearly favor the
unit fibril models having larger surfaces parallel to this plane (models
denoted with “+”). Given that the dimensions of the
unit fibril models in this study are very close to those of the native
elementary fibril, we assume that the model should consist of 18-chains,
ruling out model R1. If we furthermore assume that CNFs should only
have two surfaces as argued by, e.g., Wickholm et al.,[36] and Bergenstråhle et al.,[37] using the results from
CP/MAS13C NMR spectroscopy and atomistic simulations, we
can also rule out model H1.In the remaining scenarios, models
Rh1+, H2–, R2+, and R2–
are also not favored, as their surface ordering does not apply generally
to the fit between simulated and experimental results, where only
a specific chain form factor can meet the selection criteria. The
model that is most likely is model H2+, since all chain form factors
can generate the observed trends in the WAXD signals.
Physical Implications
of CNFs and the Elementary Microfibril
The best fit of SAXS
results from all samples, with three types
of aggregates (1 × 1, 2 × 1, and 4 × 1 unit fibrils)
and optimal mass fractions, results in a unit fibril of size 2.4 nm
(Figure C), which
is consistent with the dimensions of a native elementary fibril with
18 cellulose chains. We note that the best fit model H2+ from our
WAXD analysis, containing 5 layers of cellulose chains in a 34443
arrangement, is different from the model (H1+) endorsed by Kubicki et al.,[22] and Daicho et al.,[21] both also contain 5
layers in a 34443 arrangement. The latter is the same as model H1+,
which possesses two hydrophobic surfaces parallel to the (200) plane,
while the model H2+ only possesses hydrophilic surfaces parallel to
either or (110) planes.In Figure C–E, the good agreement
between experimental and simulated WAXD profiles by the most likely
model H2+ indicated the preferred cohesion of surfaces parallel to
the (110) plane. Perhaps, this can be understood by the following
argument. In the cellulose Iβ crystal
structure, the (200) plane is held together by intrasheet hydrogen
bonds, while both and (110) planes are held together
by van
der Waals (hydrophobic) interactions and weak intersheet hydrogen
bonds.[38,39] Recent molecular dynamics simulation studies
suggested that the hydrophobic pairing energy between cellulose chains
are much stronger than intermolecular hydrogen bonds.[40,41] The observation of favorable aggregation/cohesion of elementary
microfibril surfaces parallel to the (110) plane can greatly enhance
van der Waals interactions in crystalline fibrils, leading to insolubility
in common organic solvents.[40]In
this study, the chosen schemes (TEMPO-mediated oxidation and
carboxymethylation) for CNF extraction both seem to preferentially
occur at the hydroxymethyl groups present on the elementary fibril
phase boundaries parallel to the plane, possibly resulting in a selective
weakening of cohesion between neighboring elementary fibrils in the -direction. A selective weakening of cohesion
could be an explanation to the result obtained from the simulations
of the WAXD diffractograms. Weakening the cohesion between neighboring
elementary fibril phase boundaries in the direction of the planes could give a preferential delamination
in this direction of aggregates held together by the less affected
cohesion between adjacent (110) elementary fibril phase boundaries.
The fact that one of the interfibrillar surfaces is more resistant
to the pretreatment naturally results in the average cross-section
of CNFs being flat or becoming a ribbon shape, which has been the
source of a long-standing puzzle.The seeming preference of
TEMPO oxidation to occur at the fibril
phase boundaries parallel to the plane has also been previously observed
by CP/MAS13C NMR. In a study of TEMPO-oxidized fibers,
prior to homogenization, the major impact was observed on the signal
assigned to C4 atoms in surface polymers belonging to the fibril phase
boundary parallel to the plane.[42]With stronger treatment (e.g., higher charge
or
stronger homogenization), the DOF would increase in CNF dispersions
due to further weakening of the cohesion of the phase boundaries parallel
to (110) planes. This interfibrillar cohesion would eventually break,
as seen by the broadening of both (110) and (200) peaks in freeze-dried
CNF samples with higher DOF. This process could lead to the narrowing
of the cross-section distribution, allowing it to approach the dimensions
of the native elementary microfibril. It is interesting to note that,
under even stronger treatment conditions, the elementary microfibril
itself can be further delaminated into a single-layer cellulose nanostrip.[11]
Conclusions
In this study, we have
investigated the cross-sectional structure
of CNFs in 18 different dispersions extracted from the same raw material
(wood) using different chemical methods (TEMPO and CM) with different
surface charges and different degrees of homogenization. The system
was analyzed both in the dispersion state with solution SAXS to capture
the average cross-section shape and dimensions and in the freeze-dried
state with WAXD to capture the arrangement of cellulose chains in
the elementary microfibril.The SAXS data were analyzed by approximating
the elementary microfibril
with a square-shaped unit fibril that can aggregate and result in
ribbon-shaped CNFs in agreement with images from TEM. By analyzing
the SAXS data with an assumption of quantized polydispersity, we were
able to resolve different-sized aggregates of unit fibrils and provide
estimates of corresponding mass fractions. We further defined a degree
of fibrillation (DOF) based on these mass fractions. The unit fibril
was found to have a mean cross-sectional dimension of 2.4 nm, consistent
with the dimensions of an 18-chain elementary microfibril. Complementary
WAXD analysis revealed that the elementary microfibrils have a preferred
aggregation of phase boundaries parallel to the (110) plane, resulting
in the enhanced van der Waals interactions and stability of a larger
CNF cross-section. With cellulose modification (e.g., TEMPO-mediated oxidation and carboxymethylation) and homogenization,
we can break down cellulose microfibers by disrupting the interfibrillar
bonds between surfaces parallel to the plane, creating ribbon-shaped cross-sections.
With stronger treatment, the interfibrillar bonds between surfaces
parallel to the (110) planes are also broken, and the material can
approach a dispersion of completely liberated elementary fibrils.Furthermore, our results favor a 18-chain model, containing 5 layers
of cellulose chains in a 34443 arrangement and two hydrophilic surfaces
parallel to the and (110) planes. This model is
slightly
different from that endorsed by Daicho et al.,[21] and Kubicki et al.,[22] which contains two hydrophobic (200) surfaces.
It is necessary to point out that the specific elementary fibril model
endorsed here remains only a hypothesis. It is highly likely that
real CNF dispersions contain much more variability of cross-sectional
aggregates, microfibril structures, and cohesion directions as well
as various degrees of chain disorder instead of the highly idealized
model system presented here. Nevertheless, we argue that the present
work contributes toward the full understanding of the origin of nanocellulose,
where more detailed experiments and models are needed to verify or
revise the hypothesized scenarios presented here.Furthermore,
we believe that this work provides a comprehensive
explanation for the different CNF cross-sections obtained from different
extraction methods and their relationships with the elementary microfibril
in wood.
Methods
Materials
A commercial
sulfite softwood dissolving
pulp (Domsjö Dissolving plus; Domsjö Fabriker AB, Domsjö,
Sweden) from 60 wt % Norwegian spruce and 40 wt % Scots pine, with
a hemicellulose content of 4.5 wt % and a lignin content of 0.6 wt
%, was supplied in a never-dried form and was used for the preparation
of CNFs. The fiber composition and dimensions are very similar for
the two species[43] and the dissolving pulp
used in the present study are ultrapure and with very low variability.
Ethanol (Rectapur) was purchased from VWR (Sweden). Monochloroacetic
acid (99%, ACS reagent, ClCH2COOH), acetic acid (ACS reagent),
2-propanol (ACS reagent), sodium hydroxide (ACS reagent), sodium hydrogen
carbonate (ACS reagent), and methanol (ACS reagent) were purchased
from Sigma-Aldrich (Sweden). Deionized water was used throughout the
studies.
Preparation of Carboxymethylated Cellulose
The CM CNF
samples were prepared by a carboxymethylation pretreatment of fibers
followed by a high-pressure homogenization technique similar to a
previously described procedure.[8,44] A total of 90 g of
fibers were pretreated. The never-dried fibers were first dispersed
in deionized water at 30,000 revolutions in an ordinary laboratory
reslusher. This was conducted with batches of 30 g of fibers in 2
L of deionized water. The fibers were then solvent-changed to ethanol
by washing 90 g of fibers in 1 L of ethanol four times with an intermediate
filtration step. The fibers were then impregnated for 30 min with
a solution of 4.1, 8.2, 24.6, or 36.1 g of monochloroacetic acid in
409 mL of 2-propanol, targeting four different degrees of substitution
(DS). These fibers were then added in portions to a solution of 13.3,
13.3, 30.0, or 36.3 g of NaOH in 409 mL of methanol mixed with 1636
mL of 2-propanol that had been heated to just below its boiling temperature
in a 5 L reaction vessel fitted with a condenser. This carboxymethylation
reaction was allowed to continue for 1 h.Following this carboxymethylation
step, the fibers were filtered and washed in several steps: first
with 20 L of deionized water, then with 1636 mL of acetic acid (0.1
M), and then with 10 L of deionized water. Finally, the fibers were
impregnated with a 1636 mL of NaHCO3 solution (4 wt % solution)
for 60 min in order to convert the carboxyl groups to their sodium
form, and then washed with 15 L of deionized water and drained on
a Büchner funnel.
Preparation of TEMPO-Oxidized Cellulose
The TEMPO-oxidzed
CNF samples were prepared using the TEMPO/NaBr/NaClO procedure established
by Saito and Isogai.[45] In order to prepare
10 g of TEMPO-oxidized cellulose nanofibers (CNFs), 26.3 g of the
same pulp with 38 wt % cellulose content is first dissolved and dispersed
in 1 L of deionized water. Then, 0.125 g of TEMPO with concentration
of 0.0125 g of TEMPO per 1 g of cellulose and 1 g of NaBr with concentration
of 0.1 g of NaBr per 1 g of cellulose are added before the solution
is adjusted to pH = 10 with 0.5 M NaOH. To have a comparison in DS,
to the sample expected with higher DS will be added 42 g of NaClO
solution and the one with lower DS will be added 21 g of NaClO. After
24 h of TEMPO oxidation under room temperature, the reaction is quenched
with 100 mL of ethanol and the samples are washed through centrifugation
and dialysis.
Preparation of CNF Dispersions
After
these pretreatment
steps, the fibers were homogenized using a high-pressure microfluidizer
(Microfluidizer M-110EH, Microfluidics Corp., USA). The fluidizer
was equipped with two chambers of different sizes connected in series
(200 and 100 μm). Pulp fiber slurries of 2 wt % concentration
were passed once or twice at operating pressures of 550 and 1700 bar,
respectively.The dispersion was then diluted to 0.1 wt % and
subjected to magnetic stirring overnight. In order to remove any fiber
residuals of fibril fragments, the diluted CNF dispersions were transferred
to 45 mL flasks and submitted to centrifugation (Multifuge 3L Centrifuge,
Heraeus, Germany) for 15 min at 1000g. The clear
dispersion was removed by pipet and transferred to a solvent resistant
press-based stirred cell ultrafiltration unit (300 mL, Millipore,
USA) equipped with membrane with a molecular weight cutoff of 100
kDa. The stirred cell concentrated the CNF dispersions rapidly but
gently, using magnetic stirring, to minimize concentration polarization
and shear-stress-induced denaturation. The final concentration of
the dispersions was 0.2–0.3 wt %.
Pulp Total Charge Determination
The total charge of
the pulp was measured by conductometric titration of the fibers prior
to homogenization.[46] Before titration,
the fibers were washed at low pH, to remove unwanted adsorbed metal
ions. The measured DS values for the four charges of carboxymethylated
CNFs were determined to be 0.06, 0.11, 0.22, and 0.34. For TEMPO-oxidized
CNFs, the DS values were determined to be 0.15 and 0.19 for the low
and high charged samples, respectively.
Freeze-Drying of CNF Samples
Tubes containing dispersed
CNF samples were dropped in liquid nitrogen and taken out after thermal
equilibration (e.g., when boiling stops). The tubes
with frozen samples were then put in the freeze-drier (Millrock Technology.
Inc. with model of BT48A) below −40 °C and 500 Pa for
3 days. For the freeze-drying, the lids of the tubes are replaced
by perforated aluminum foil to allow for sublimation.
Transmission
Electron Microscopy
To ensure the fiber
morphology of the CNF dispersions, transmission electron microscopy
(TEM) experiments were performed at the Center of Functional Nanomaterials,
Brookhaven National Laboratory. The equipment used was a JEOL JEM-1400
TEM instrument with a Ruby camera with operating voltage set to 120
kV. The CNF dispersions were diluted to ≈0.01 wt % and a small
droplet (≈2.2 μL) was dropped on a carbon-coated copper
grid. To obtain sufficient contrast, the samples were stained using
a 2 wt % aqueous uranyl acetate solution. A total of 5–10 images
were taken per sample, where an example image for each sample is provided
in the Supporting Information.
X-ray Scattering/Diffraction
Experiments
Small-angle
X-ray scattering and wide-angle X-ray-diffraction experiments were
performed at the LiX beamline (16-ID), Brookhaven National Laboratory,
National Synchrotron Light Source (NSLS-II), USA.For the SAXS
experiments, the aqueous CNF samples were diluted to 0.1 wt % and
slowly flowing through MICA tubes, where the X-ray beam is focused,
and the scattered light is detected by a Pilatus3 1 M detector (Dectris).
The X-ray wavelength is λ = 0.92 Å, and the sample–detector
distance is 3.6 m. Background subtraction is done by subtracting the
scattering from deionized (DI) water.For the WAXD experiments,
freeze-dried samples are mounted on a
sample stage where the X-ray beam is focused. The scattered light
is detected by a custom Pilatus 900k detector (Dectris), which essentially
is a 1 M detector with one module removed to allow for simultaneous
SAXS/WAXD measurements. The X-ray wavelength λ = 0.91 Å,
and the sample–detector distance is 28.6 cm. Background subtraction
is done by subtracting the scattering from air, i.e., measuring at the same setup without the sample mounted on the stage.
The isotropy of the sample was verified by analyzing the angular intensity
distribution of the (110) peak (see Supporting Information for details).
Quantized Polydispersity
Fitting of SAXS Data
The quantized
polydispersity (QPD) fitting method of the SAXS data relies on the
simulated form factor of the three allowed fibril/aggregate shapes: d × d (square cross-section), and
2d × d and 4d × d (rectangular cross-sections). For each
aggregate shape, we sample 5000 parallelepipeds with random orientations
and calculate the intensity according to eq , where the contributions of each particle
are summed. The 2D detector plane is chosen to be in the xy-plane, such that . The exact particle dimensions are sampled
from Gaussian distributions with mean d0 = 2.5 nm and L = 1000 nm (thus ensuring L ≫ d) and standard deviation taken
as 5% of the mean. The simulated 2D data are converted to polar coordinates
and then averaged in the azimuthal direction to get the intensity I as a function of . Each of the three curves I1×1,0(q), I2×1,0(q), and I4×1,0(q) at d = d0 are found by applying a smoothing spline to
the simulated intensity and averaging them with the total mass. To
obtain the curves for other values of d, the curves
are scaled accordingly:The fitting relies on finding the optimal
prefactors c1×1, c2×1, and c4×1 in eq given a fixed value of d. The fitting procedure is repeated for values of d between 1.5 and 4 nm, with steps of 0.025 nm, with the
best fit of d and corresponding optimal prefactors
found by minimizing the fit residuals (see Figure B). The optimal prefactors are normalized
to find the resulting mass fractions ϕ1×1, ϕ2×1, and ϕ4×1 of each type of aggregate.
WAXD Peak Deconvolution and Crystallinity Index
It
is important to note that scattering angles in WAXD were quantified
with the scattering vector q, due to the possibility
to tune the X-ray wavelength, λ. In conventional X-ray-diffraction
(XRD) measurement, the wavelength is usually generated by Cu Kα
radiation (λXRD = 0.1548 nm), where the scattering
angle is given as 2θXRD. For readers with more experience
with XRD using Cu Kα radiation, the conversion can easily be
made throughThe data points that applied
in the WAXD deconvolution
were within a q-range from 0.75 to 2 Å–1 (2θXRD = 10.6° to 28.5°). First, data
points from q = 0.76 to 0.85 Å–1 and from q = 1.9 to 2 Å–1 were considered as a baseline, which were fitted with a linear function
and removed from the raw data. The baseline-subtracted data were subsequently
fitted with 5 Gaussian peaks with limited range of the peak center
corresponding to known crystalline planes of cellulose,[21] including (200) at 1.59 Å–1 (2θXRD = 22.6°), at 1.03 Å–1 (2θXRD = 14.6°), (110) at 1.16 Å–1 (2θXRD = 16.4°), and (102) and “noncrystalline”
peak with both centers at 1.45 Å–1 (2θXRD = 20.6°). Note that the broader noncrystalline peak
likely includes both amorphous contributions and secondary peaks.
The deconvolution here provided a way to parametrize the spectra.
To minimize the uncertainty of the parameters, no other peaks were
taken into consideration and the Gaussian shape was assumed for all
crystalline/amorphous peaks. The crystallinity index was calculated
in two ways. CI-XI was determined on the basis of the sum of the deconvoluted
peak intensities Itotal and calculated
through[21,47]This equation corresponds to the estimates
of the relative difference between the (200) peak and the amorphous
(noncrystalline) peak. CI-XA was determined on the basis of the area A( of the individual deconvoluted
Gaussian functions:[21,47]
WAXD Simulations of CNF Crystallite Structure
The 2D
crystal lattice of the cellulose chains is described by lattice vectors Å and Å (obtained through Figure
9 in Daicho et al.(21)),
where is assumed parallel to
the plane of the
glucose units. Binary representations of the electron distribution
in the fibril cross-section were created by assuming the cross-section
of each cellulose chain as a binary ellipse with defined semiaxes
(either 3 Å × 0.5 Å, 2 Å × 0.75 Å, or
1 Å × 1 Å) and placing them on the predefined lattice
nodes. The major axis of the ellipse is aligned with . A binary image of the
cross-sectional
arrangement was created using this procedure, which can be seen in Figure A, representing the
electron density difference distribution Δρ(x,y). The squared amplitude of the 2D Fourier transform
of the image was taken to represent the scattering intensity using the fft2 function
in Matlab R2019a.
By converting this image to polar coordinates and averaging over all
angles, we obtain a simulated curve of I(q) seen in Figure B. Note that since we assume no variation along the fibril
axis (z), the 3D Fourier transform is zero where q ≠ 0. Therefore, the
averaging of all possible angles in 3D space is equivalent to the
2D angular averaging in the q, q-plane. By
matching the mass fractions of the difference aggregates extracted
by SAXS, we can obtain a representation of the WAXD signal from the
same sample (black curve in Figure B). All 72 hypotheses with variations of unit fibril
shape, aggregation direction, and form factors, as well as resulting
WAXD profiles for sample 1, are given in the Supporting Information. Movie S1 is also provided
to further explain the simulation procedure.
Authors: Anwesha N Fernandes; Lynne H Thomas; Clemens M Altaner; Philip Callow; V Trevor Forsyth; David C Apperley; Craig J Kennedy; Michael C Jarvis Journal: Proc Natl Acad Sci U S A Date: 2011-11-07 Impact factor: 11.205
Authors: Sandra Martinez-Crespiera; Belén Pepió-Tàrrega; Rosa M González-Gil; Francisco Cecilia-Morillo; Javier Palmer; Ana M Escobar; Sirio Beneitez-Álvarez; Tiffany Abitbol; Andreas Fall; Christian Aulin; Yuval Nevo; Valerio Beni; Enrico Tolin; Achim Bahr Journal: Int J Mol Sci Date: 2022-03-09 Impact factor: 5.923