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iForest - Biogeosciences and Forestry

iForest - Biogeosciences and Forestry
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Changes in moisture exclusion efficiency and crystallinity of thermally modified wood with aging

iForest - Biogeosciences and Forestry, Volume 12, Issue 1, Pages 92-97 (2019)
doi: https://doi.org/10.3832/ifor2723-011
Published: Jan 24, 2019 - Copyright © 2019 SISEF

Research Articles

This study aimed to investigate whether aging affects moisture exclusion efficiency and crystallinity of thermally modified wood. For this purpose, wood blocks of hornbeam (Carpinus betulus), Norway spruce (Picea abies) and oak (Quercus castanifolia), modified at 180 °C for 3 hours inside a ThermoWood kiln were exposed to a six-cycle artificial aging procedure. Aging reduced the efficiency and crystallinity of the modified woods. A significant negative correlation was found between the wood crystallinity and equilibrium moisture content (EMC) which indicates that change in the crystallinity index (CrI) measured by X-ray diffraction (XRD) affects the affinity of wood to moisture. The increased affinity of the modified wood to moisture after aging is probably due to the leaching of thermal degradation products as observed by Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy.

Aging, Crystallinity, Moisture Exclusion Efficiency, Thermally Modified Wood

  Introduction 

The hygroscopicity of wood is responsible for many challenges of using wood for outdoor applications where exposure to high humidity and rain is concerned. Thermal modification is the most widely used commercial process to reduce the affinity of wood to moisture uptake. Reduction in the accessible hydroxyl groups of wood due to thermal degradation of hemicelluloses, increase in the cellulose crystallinity, and crosslinking in lignin were suggested to be the main reasons for reducing the hygroscopicity of wood due to the thermal modification ([12]). It is supposed that irreversible changes in the physical and mechanical properties of a material occur during aging ([33]). Contradictory results were reported for the effect of natural aging on the equilibrium moisture content (EMC) of wood ([20]). However, most literatures found that the EMC of wood decreases with an increase in wood age ([20]).

Crystallinity refers to the amount of crystalline region in the material with respect to the amorphous content. Among wood components, cellulose is semi-crystalline, but hemicelluloses and lignin are amorphous. The crystallinity of wood is often estimated by analytical techniques, such as X-ray diffraction (XRD), FT-IR, carbon-13 NMR and near-infrared (NIR) spectroscopy ([23], [11], [18], [27], [22]). The degree of crystallinity has a noticeable influence on different properties of wood, including thermal stability, mechanical strength, hardness, density and hygroscopicity ([11], [22], [27]). A comprehensive literature review conducted by Kranitz et al. ([20]) showed that the natural aging may have different effects on the crystallinity of wood. A number of authors reported an increase in the degree of crystallinity of wood as a result of heat treatment ([21], [6], [34]). An increase in the crystallinity during the early stages of thermal modification, when the mass loss is low, is due to the molecular reorientation rather than the loss of amorphous components (hemicelluloses) of wood ([15]).

Until now, few studies have reported the effect of weathering on the moisture exclusion efficiency of thermally modified wood ([25], [16], [7]) and there is no study exploring changes in the crystallinity of thermally modified wood after aging. It is claimed that thermally modified wood is more resistant to weathering than untreated wood due to largely unleachable weathering products of lignin ([25], [16]). However, an increase in the wettability of the modified wood after re-wetting cycles was reported as a result of artificial weathering and reduction in its anti-swelling efficiency ([16], [7]).

In contrast to artificial weathering, other parameters affecting the service life of a product, such as winter temperatures, thermal degradation and maximum shrinkage, can be simulated by applying artificial aging. Reduction in the moisture exclusion efficiency of thermally modified wood after cycled moisture sorption and water soaking is often explained by the recovery of annealing effects of wood amorphous polymers ([5], [10], [4], [35]). In addition to the annealing effects, the cell wall bulking effect caused by thermal degradation products is responsible for a non-permanent reduction in the moisture sorption of thermally modified wood. The accumulated degradation products can be removed by water soaking, resulting in an increase of EMC. However, none of the above mentioned studies has directly examined the changes in crystallinity of thermally modified wood after artificial aging. Thus, the main purpose of this study is to determine how the crystallinity index (CrI) of thermally modified wood changes due to artificial aging, and to find out if the crystallinity of modified wood contributes to the changes in the moisture exclusion efficiency. Furthermore, our aging process gives more information about the efficacy of thermally modified wood that is affected by freezing or high temperature in addition to wetting-drying cycles.

  Materials and methods 

Wood sampling and thermal modification

Boards of hornbeam (Carpinus betulus), oak heartwood (Quercus castanifolia) and Norway spruce (Picea abies) with 20 mm in thickness were thermally modified inside a ThermoWood kiln. First, the boards were dried by a fast high-temperature drying process. During the drying phase, the kiln temperature was first raised rapidly to about 100 °C and then increased steadily to 140 °C to reduce the moisture content of wood to almost zero. After drying, thermal modification was carried out at the target temperature of 180 °C for 3 hours. Finally, cooling and conditioning were applied for 24 h to bring the moisture content to about 7%.

Artificial aging procedure

Control and thermally modified specimens were exposed to a six-cycle artificial aging according to V313 procedure, European Standard EN 321. The specimens were exposed to immersion in distillated water at 20 °C for 72 h, freezing at -12 °C for 24 h, drying at 70 °C for 72 h, and settled at room temperature for 4 h.

Measuring moisture exclusion efficiency

Equilibrium moisture content (EMC) of specimens was measured in a climatic chamber at 20 °C and 65% RH. The EMC of aged samples was determined as follows (eqn. 1):

\begin{equation} EMC ( \text{%}) = {\frac{m_2-m_1}{m_1}} \cdot 100 \end{equation}

where m1 is the oven dried mass of samples after aging and m2 is the mass after equilibration in the climatic chamber for three weeks. Unaged samples were also used as references for determining the EMC before aging. The moisture exclusion efficiency (MEE) of specimens was then calculated as (eqn. 2):

\begin{equation} MEE ( \text{%}) = {\frac{E_{u}-E_{m}}{E_{u}}} \cdot 100 \end{equation}

where Eu and Em are the EMC values of untreated and modified wood, respectively. Five repetitions were used for each treatment.

ATR-FTIR studies

Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy was used to investigate the chemical changes of wood specimens due to aging. Spectra were recorded on Bruker Tensor 27® ATR-FTIR device equipped with the software OPUS ver. 7.2 (Bruker Optik GmbH, Fällanden, Switzerland). Spectra were baseline corrected by the concave rubber band method (ten iterations, 64 baseline points) and min-max normalized. The FT-IR spectrum was recorded for each sample in the wavenumber range of 4000-400 cm-1 with 64 scans per analysis at spectral resolution of 4 cm-1.

X-ray diffraction (XRD)

X-ray diffraction (XRD) analysis was carried out on wood powder samples with Co Kα radiation (λ=1.78 Å, 40 kV, 30 mA) to quantify the degree of wood crystallinity. Intensities were measured in the range of 5° < 2θ < 50° with scan steps of 0.04°. The crystallinity index (CrI) was calculated base on the following ratio ([30] - eqn. 3):

\begin{equation} CrI ( \text{%}) = \frac{I_{200} - I_{am}}{I_{200}} \cdot 100 \end{equation}

where I200 is the intensity of the crystalline peak at 2θ = 22.6°, reflecting both crystal and amorphous material, and Iam is the minimum intensity between the 200 and 101 peaks at 2θ = 18.5°, reflecting only amorphous material. Two measurements were performed for each sample group.

  Results and discussions 

Mass loss

The mass loss ranged from 1.9 to 6% after exposure to six cycles of aging, with the highest value for modified oak (Fig. 1). Except Norway spruce, the mass loss was greater for thermally modified wood compared to the control wood. The mass loss is mainly due to the reduction in the water-soluble extractives of wood specimens during wetting cycles of aging. Thermal modification causes an increase in the extractives content ([7]) which are leach out during aging. Our aging results showed that the greatest leachable materials were formed in oak due to the modification.

Fig. 1 - Mass loss due to artificial aging. Error bars represent the standard deviation of five measurements for each sample group.

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Moisture exclusion efficiency

In agreement with a number of previous studies ([12]), all thermally modified woods had an evident lower EMC than the untreated woods, and the best moisture exclusion efficiency (49.3%) was observed in hornbeam. Reduction in EMC due to heat treatment ranges from 0% to 50%, depending on the treatment conditions ([8]). A higher heat-treating temperature causes a greater EMC reduction. Moisture exclusion efficiency (MEE) of the modified wood is mainly due to irreversible chemical changes of the cell wall components and degradation of hemicelluloses. However, the MEE of thermally modified wood specimens seems to be overestimated due to reversible annealing effects caused by drying at elevated temperature (100-140 °C) beyond the softening point of amorphous polymers during the thermal modification process. It is claimed that the reduction in hygroscopicity of thermally modified wood is due to both reversible and irreversible effects, and the annealing of amorphous wood polymers is responsible for the former effect ([10]). The reversible change in the hygroscopicity may also be due to the presence of degradation products of thermal modification, which reduce the wood porosity by occupying the nanopores of the cell walls ([35]). In contrast to the common belief that the hydroxyl groups available for moisture uptake are significantly reduced by the heat treatment, Rautkari et al. ([28]) found a poor correlation between EMC and the accessibility of hydroxyl groups, indicating that there are other mechanisms controlling the EMC in addition to the hydroxyl group accessibility.

Tab. 1 shows the EMC of wood samples before and after aging. The moisture exclusion efficiency of thermally modified wood due to aging decreased by 8.8 % in oak, 61.1% in Norway spruce and 46.1% in hornbeam (Fig. 2). Literature reviews show contradictory trends concerning the hygroscopic behavior of naturally aged wood, but in most cases EMC slightly decreases with increasing age ([20]). The main reason for the reduction in moisture exclusion efficiency is the leaching of extractives and accumulated thermal degradation products during aging, as observed by ATR-FTIR. Both cell wall bulking and annealing effects on the hygroscopicity of thermally modified wood fully disappeared during water soaking ([5], [3], [35]). However, the drying-related annealing effects can also be partially removed by exposure to the elevated relative humidity. Most of extractives, such as resin acids, disappears from wood after heat treatment ([24]), but new complex polyaromatic compounds are formed due to the degradation of cell wall components ([12]), which can be water soluble. A summary of IR bands observed in the wood samples is given in Tab. 2. An absorption band was observed in the carbonyl group region of wood samples at 1740 cm-1 (Fig. 3), showing a reduction in the peak intensity due to thermal modification, caused by degradation of hemicelluloses. The reduction might also be caused by the leaching of remaining acetic acid in thermally modified wood. As observed for oak, the reduced intensity due to aging confirms the removal of fats and waxes by the aging procedure. The intensity of peak at 1516 cm-1 also was slightly reduced which suggests the removal of aromatic extractives, such as dehydroabietic acid, lignans, and stilbenes ([24]) due to aging. The peak at 1277 cm-1 originated from the C-O stretching vibrations of softwood resin acids ([24]) was observed in Norway spruce even after aging. Removal of extractives was reported to cause an increase in EMC, fiber saturation point (FSP) and dimensional changes of wood ([14]). It is believed that nanopores in the cell wall matrix may be occupied by accumulated degradation products, thereby causing reduction in the hygroscopicity of wood after thermal modification ([35]). Other chemical changes may contribute to the hygroscopicity of aged thermally modified wood, in addition to possible effect of leaching of extractives and thermal degradation products.

Tab. 1 - Mean EMC values (± standard deviation) of wood samples before and after aging.

Species Status EMC (%)
Control Aged
Oak Unmodified 9.5 ± 0.02 10.7 ± 0.30
Modified 5.8 ± 0.17 7.6 ± 0.41
Norway spruce Unmodified 8.2 ± 0.47 10.0 ± 0.30
Modified 4.7 ± 0.16 8.4 ± 0.15
Hornbeam Unmodified 9.6 ± 0.10 10.5 ± 0.24
Modified 5.2 ± 0.47 7.7 ± 0.27

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Fig. 2 - Moisture exclusion efficiency (MEE, %) of control and aged thermally modified wood. Error bars represent the standard deviation of five measurements for each sample group.

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Tab. 2 - Assignment of major absorption IR spectra peaks in wood samples.

Wavenumber (cm-1) Band assignment
1740 unconjugated C=O stretching
1590 C=C stretching of the aromatic ring in lignin
1516 Aromatic skeletal vibration
1460 C=H deformation (methyl and methylene)
1425 asymmetric CH2 deformation in cellulose
1367 CH deformation in cellulose and hemicellulose
1277 C-O stretching vibrations of softwood resin acids
1155 C-O-C vibration in cellulose and hemicellulose
1105 Aromatic skeletal and C-O stretching vibration of polysaccharides and lignin
1024 C-O stretching in cellulose and hemicellulose
892 C-H deformation in cellulose

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Fig. 3 - Average ATR-FTIR spectra in the range of 800-1800 cm-1 for control and thermally modified woods before (red line) and after (black line) aging.

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Crystallinity

The crystallinity index (CrI) of the wood specimens was increased after thermal modification (Fig. 4), which is in agreement with previous studies ([6], [2], [16]). The decomposition of amorphous regions in cellulose and hemicelluloses, as well as the crystallization of amorphous cellulose due to thermal degradation, causes an increase in crystallinity of the modified wood ([12], [17]). However, it is worth noting that the loss of hemicelluloses due to thermal effects, as confirmed by reduction in the intensity of FTIR peak at 1740 cm-1 (Fig. 3), also leads to the enrichment of the relative crystalline content.

Fig. 4 - Crystallinity index (CrI) of untreated and thermally modified woods before and after aging. Values are the average of two measurements for each sample group.

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Aging reduced the crystallinity of the modified woods by around 17.1% in hornbeam, 19.1% in Norway spruce and 20.4 % in oak (Fig. 4), probably due to the removal of extractives and the effects of repeated wetting and drying cycles of aging. It has been hypothesized that noncrystalline cellulose forms hydrogen bonds with cellulose at the surface of crystalline region due to the repeated moisture changes ([32]). Drying at high temperatures also results in the cellulose crystallization in the noncrystalline region ([29], [31]). Drying does not alter cellulose crystallinity or cellulose crystalline structure, though it affects the size of microfibril bundles and thus the cellulose accessibility to water ([31]). Random (cold) crystallization in the quasi-crystalline region of wood cellulose may also increase the crystallinity of wood. No changes occurred in the diffraction pattern of wood specimens after aging and the peaks were not shifted (Fig. 5). The crystalline structure of wood cellulose microfibers hinders the access of water molecules to the OH groups. Reduction in the degree of cellulose crystallinity in naturally aged wood of Pinus sylvestris L. was reported to have a major influence on the wood hygroscopicity ([11]).

Fig. 5 - XRD curves of untreated and thermally modified woods before (gray lines) and after (black lines) aging.

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Crystallinity index of wood may vary depending on the measurement method. X-ray diffraction is often used for measuring the crystallinity of wood materials ([26], [22], [1]). The crystallinity can be also estimated by using different absorbance ratios in IR spectra, for example 1375 to 1521 cm-1, 1427 to 896 cm-1, 1372 to 2885 cm-1, 1373 to 1350 cm-1, 1373 to 667 cm-1 and 1317 to 1336 cm-1 ([9], [19], [13]). The peak at 1375 cm-1 is caused by symmetric CH deformation in cellulose and the peak at 1512 cm-1 is characteristic of lignin ([22]). The peaks at 1317 cm-1 and 1336 cm-1 are related to crystallised and amorphous cellulose, respectively ([9]). Although the crystallinity index determined by FTIR spectroscopy may have a good correlation with that measured by X-ray diffraction technique ([19]), the latter gives more accurate result. However, it is accepted that XRD technique cannot provide reliable absolute values of crystallinity but only relative values ([26]). Pearson’s correlation test showed that there is a significant negative correlation between the crystallinity and EMC of wood samples (r = -0.69, p< 0.05 - Fig. 6).

Fig. 6 - Correlation between the wood crystallinity and EMC for control and aged samples.

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  Conclusions 

We found that the moisture exclusion efficiency and crystallinity of thermally modified wood were reduced due to aging. The increased hygroscopic nature of thermally modified wood after aging confirms the role of reversible effects caused by thermal degradation products in controlling the hygroscopicity. A significant negative correlation, observed between the crystallinity and EMC also indicates that change in the crystallinity index (CrI) of thermally modified wood after aging is one of the several factors which may affect the EMC.

  Acknowledgements 

Some parts of this study were carried out in Wood Materials Science Group at the Institute for Building Materials at ETH Zurich. The authors are grateful to Prof. Ingo Burgert and Prof. Emil Engelund Thybring.

  References

(1)
Agarwal UP, Ralph SA, Baez C, Reiner RS, Verrill SP (2017). Effect of sample moisture content on XRD-estimated cellulose crystallinity index and crystallite size. Cellulose 24: 1971-1984.
CrossRef | Gscholar
(2)
Akgul M, Gumuskaya E, Korkut S (2007). Crystalline structure of heat-treated Scots pine [Pinus sylvestris L.] and Uludag fir [Abies nordmanniana (Stev.) subsp. Bornmuelleriana (Mattf.)] wood. Wood Science and Technology 41: 281-289.
CrossRef | Gscholar
(3)
Altgen M, Hofmann T, Militz H (2016). Wood moisture content during the thermal modification process affects the improvement in hygroscopicity of Scots pine sapwood. Wood Science and Technology 50: 1181-1195.
CrossRef | Gscholar
(4)
Altgen M, Militz H (2016). Influence of process conditions on hygroscopicity and mechanical properties of European beech thermally modified in a high-pressure reactor system. Holzforschung 70 (10): 971-979.
CrossRef | Gscholar
(5)
Biziks V, Andersons B, Sansonetti E, Andersone I, Militz H, Grinins J (2015). One-stage thermohydro treatment (THT) of hardwoods: an analysis of form stability after five soaking-drying cycles. Holzforschung 69: 563-571.
CrossRef | Gscholar
(6)
Bhuiyan MTR, Hirai N, Sobue N (2000). Changes of crystallinity in wood cellulose by heat treatment under dried and moist conditions. Journal of Wood Science 46 (6): 431-436.
CrossRef | Gscholar
(7)
Cermák P, Rautkari L, Horáček P, Saake B, Rademacher P, Sablík P (2015). Analysis of dimensional stability of thermally modified wood affected by re-wetting cycles. BioResources 10 (2): 3242-3253.
CrossRef | Gscholar
(8)
Chirkova J, Andersons B, Andersone I, Militz H (2005). Water sorption properties of thermo-modified wood. In: Proceedings of the “2nd European Conference on Wood Modification”. Göttingen (Germany) 6-7 Oct 2005. European Cooperation in Science and Technology, COST Action FP 1303, pp. 65-69.
Online | Gscholar
(9)
Colom X, Carrillo F, Nogués F, Garriga P (2003). Structural analysis of photodegradated wood by means of FT-IR spectroscopy. Polymer Degradation and Stability 80: 543-549.
CrossRef | Gscholar
(10)
Endo K, Obataya E, Zeniya N, Matsuo M (2016). Effects of heating humidity on the physical properties of hydrothermally treated spruce wood. Wood Science and Technology 50 (6): 1161-1179.
CrossRef | Gscholar
(11)
Esteban LG, Fernandez FG, Garcia F, Casasus AG, Palacios PP, Gril J (2006). Comparison of the hygroscopic behavior of 205-year-old and recently cut juvenile wood from Pinus sylvestris L. Annals of Forest Science 63: 309-317.
CrossRef | Gscholar
(12)
Esteves BM, Pereira HM (2009). Wood modification by heat treatment: a review. Bioresources 4 (1): 370-404.
Gscholar
(13)
Fackler K, Stevanic JS, Ters T, Hinterstoisser B, Schwanninger M, Salmén L (2011). FT-IR imaging microscopy to localise and characterise simultaneous and selective white-rot decay within spruce wood cells. Holzforschung 65: 411-420.
CrossRef | Gscholar
(14)
Hernández RE (2007). Effects of extraneous substances, wood density and interlocked grain on fiber saturation point of hardwoods. Wood Material Science and Engineering 2 (1): 45-53.
CrossRef | Gscholar
(15)
Hill CAS (2006). Wood modification: chemical, thermal and other processes. John Wiley and Sons, Chichester, UK, pp. 260.
Gscholar
(16)
Huang X, Kocaefe D, Kocaefe Y, Boluk Y, Pichette A (2012). Study of the degradation behavior of heat-treated jack pine (Pinus banksiana) under artificial sunlight irradiation. Polymer Degradation and Stability 97 (7): 1197-1214.
CrossRef | Gscholar
(17)
Inagaki T, Siesler HW, Mitsui K, Tsuchikawa S (2010). Difference of the crystal structure of cellulose in wood after hydrothermal and aging degradation: a NIR spectroscopy and XRD study. Biomacromolecules 11 (9): 2300-2305.
CrossRef | Gscholar
(18)
Jiang ZH, Yang Z, So SH, Hse CY (2007). Rapid prediction of wood crystallinity in Pinus elliotii plantation wood by near-infrared spectroscopy. Journal of Wood Science 53 (5): 449-453.
CrossRef | Gscholar
(19)
Kasprzyk H, Wichlacz K (2004). Some aspects of estimation of the crystallinity of gamma radiation wood cellulose by FTIR spectroscopy and X-ray diffraction techniques. Acta Scientiarum Polonorum Silvarum 3 (1): 73-84
Online | Gscholar
(20)
Kranitz K, Sonderegger W, Bues CT, Niemz P (2016). Effects of aging on wood: a literature review. Wood Science and Technology 50: 7-22.
CrossRef | Gscholar
(21)
Kubojima Y, Okano T, Ohta M (1998). Vibrational properties of sitka spruce heat-treated in nitrogen gas. Journal of Wood Science 44: 73-77.
CrossRef | Gscholar
(22)
Lionetto F, Sole RD, Cannoletta D, Vasapollo G, Maffezzoli A (2012). Monitoring wood degradation during weathering by cellulose crystallinity. Materials 5: 1910-1922.
CrossRef | Gscholar
(23)
Newman RH, Hemmingson JA (1990). Determination of the degree of crystallinity of cellulose in wood by carbon-13 NMR spectroscopy. Holzforschung 44: 351-355.
CrossRef | Gscholar
(24)
Nuopponen N, Vuorinen T, Jamsa S, Viitaniemi P (2003). The effects of a heat treatment on the behavior of extractives in softwood studied by FTIR spectroscopic methods. Wood Science and Technology 37: 109-115.
CrossRef | Gscholar
(25)
Nuopponen N, Wikberg H, Vuorinen T, Maunu SL, Jamsa S, Viitaniemi P (2004). Heat-treated softwood exposed to weathering. Journal of Applied Polymer Science 91: 2128-2134.
CrossRef | Gscholar
(26)
Park S, Baker JO, Himmel ME, Parilla PA, Johnson DK (2010). Cellulose crystallinity index: measurement techniques and their impact on interpreting cellulose performance. Biotechnology for Biofuels 3: 1-10.
CrossRef | Gscholar
(27)
Poletto M, Zattera AJ, Forte MM, Santana RM (2012). Thermal decomposition of wood: Influence of wood components and cellulose crystallite size. Bioresource Technology 109: 148-153.
CrossRef | Gscholar
(28)
Rautkari L, Hill CAS, Curling S, Jalaludin Z, Ormondroyd G (2013). What is the role of the accessibility of wood hydroxyl groups in controlling moisture content? Journal of Material Science 48: 6352-6356.
CrossRef | Gscholar
(29)
Rayirath P, Avramidis S, Mansfield SD (2008). The effect of wood drying on crystallinity and microfibril angle in Black Spruce (Picea mariana). Journal of Wood Chemistry and Technology 28 (3): 167-179.
CrossRef | Gscholar
(30)
Segal L, Creely JJ, Martin Jr AE, Conrad CM (1959). An empirical method for estimating the degree of crystallinity of native cellulose using the x-ray diffractometer. Textile Research Journal 29: 786-794.
CrossRef | Gscholar
(31)
Sik HS, Choo KT, Zakaria S, Ahmad S, Yusoff M, Chia CH (2010). The influence of drying temperature on the hygroscopicity of rubberwood (Hevea brasiliensis). Journal of Agricultural Science 2 (1): 48-58.
CrossRef | Gscholar
(32)
Toba K, Yamamoto H, Yoshida M (2013). Crystallization of cellulose microfibrils in wood cell wall by repeated dry-and-wet treatment, using X-ray diffraction technique. Cellulose 20: 633-643.
CrossRef | Gscholar
(33)
Unger A, Schniewind AP, Unger W (2001). Conservation of wood artifacts. Springer, Berlin, Germany, pp. 578.
Online | Gscholar
(34)
Wang X, Wu Z, Fang L, Wei P, Fei B, Liu J (2015). Changes of chemical composition, crystallinity, and Fourier transform infrared spectra of Eucalypt pellita wood under different vacuum heat treatment temperatures. Forest Products Journal 65 (7-8): 346-351.
CrossRef | Gscholar
(35)
Wentzel M, Altgen M, Militz H (2018). Analyzing reversible changes in hygroscopicity of thermally modifed eucalypt wood from open and closed reactor systems. Wood Science and Technology 52: 889.
CrossRef | Gscholar

Authors’ Affiliation

(1)
Asghar Tarmian
Akbar Mastouri
University of Tehran, Faculty of Natural Resources, Department of Wood and Paper Science and Technology, Tehran (Iran)

Corresponding author

 
Asghar Tarmian
tarmian@ut.ac.ir

Citation

Tarmian A, Mastouri A (2019). Changes in moisture exclusion efficiency and crystallinity of thermally modified wood with aging. iForest 12: 92-97. - doi: 10.3832/ifor2723-011

Academic Editor

Giacomo Goli

Paper history

Received: Jan 06, 2018
Accepted: Nov 10, 2018

First online: Jan 24, 2019
Publication Date: Feb 28, 2019
Publication Time: 2.50 months

© SISEF - The Italian Society of Silviculture and Forest Ecology 2019

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