|
|
|
|
|
|
Effects of Three Kinds of Consolidants on the Micromechanical Properties of Archaeological Wood From “Xiaobaijiao Ⅰ” Shipwreck by Infrared Spectroscopy and Thermogravimetric Analysis |
HAN Liu-yang1, 2, 3, HAN Xiang-na1, TIAN Xing-ling4, ZHOU Hai-bin2, 5, YIN Ya-fang2, 3, GUO Juan2, 3* |
1. Institute of Cultural Heritage and History of Science & Technology, University of Science and Technology Beijing, Beijing 100083, China
2. Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China
3. Wood Collection of Chinese Academy of Forestry, Beijing 100091, China
4. Heritage Conservation and Restoration Institute, Chinese Academy of Cultural Heritage, Beijing 100029, China
5. Pilot Base, Chinese Academy of Forestry, Beijing 102300, China
|
|
|
Abstract Waterlogged wooden cultural relics have been constantly excavated and preserved, driven by increasing public interest and upgrading archaeological technologies. Wood cells’ morphology and chemical structure from waterlogged wooden relics normally undergo non-uniform degradation or changes, presenting a different “new material” from sound woods. PEG and sugars have been widely applied for consolidation. This study selected teak (Tectona sp.), the main timber species of the “Xiaobaijiao Ⅰ” shipwreck, as the research object. Based on the developed sample preparation method of nonembedded nanoindentation suitable for wooden cultural relics. The PEG, sucralose and trehalose treated samples were evaluated by Nanoindentation technology (NI) and studied by infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). The results showed that samples prepared by the nonembedded method could accurately measure the longitudinal elastic modulus and hardness of wood cell wall, and the PEG, sucralose and trehalose were able to significantly improve the elastic modulus of fiber cell wall respectively, by 6.9%, 25.4% and 29.1% compared to untreated samples, and increase its hardness by 9.3%, 25.9% and 13.6%. Infrared spectroscopy showed that PEG, sucralose and trehalose penetrated the wood, and thermogravimetric analysis confirmed that partial consolidants could enter the wood cell wall, which was the main reason for the improvement of cell wall strength. In general, sucralose and trehalose were more suitable than PEG for consolidating the waterlogged archaeological wood, with sucralose being the most effective consolidant in this research. This research provided a proven method for the accurate performance evaluation of consolidates for waterlogged wooden cultural relics such as shipwrecks and could provide a scientific basis for their consolidation and conservation.
|
Received: 2021-11-19
Accepted: 2022-02-24
|
|
Corresponding Authors:
GUO Juan
E-mail: guojuanchina@126.com
|
|
[1] CHEN Jia-chang, HUANG Xia, CHEN Xiao-lin, et al(陈家昌,黄 霞, 陈晓琳, 等). Materials Reports(材料导报), 2015, 11: 96.[2] Walsh-Korb Z, Avérous L. Progress in Materials Science, 2019, 102: 167.
[3] Kennedy A, Pennington E R. Studies in Conservation, 2014, 59(3): 194.
[4] Tahira A, Howard W, Pennington E R, et al. Studies in Conservation, 2017, 62(4): 223.
[5] Han L Y, Guo J, Tian X L, et al. International Biodeterioration & Biodegradation, 2022, 170: 105390.
[6] Han L Y, Tian X L, Keplinger T, et al. Molecules, 2020, 25(5): 1113.
[7] Han L Y, Wang K, Wang W B, et al. Materials, 2019, 12(5): 786.
[8] Jeremic D, Cooper P. Wood Science and Technology, 2009, 43(3-4): 317.
[9] Guo J, Xiao L, Han L Y, et al. IAWA Journal, 2019, 40(4): 820.
[10] Xia Y, Chen T Y, Wen J L, et al. International Journal of Biological Macromolecules, 2018, 109: 407.
|
[1] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[3] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[4] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[5] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[6] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[7] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[8] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
[9] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[10] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[11] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
[12] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[13] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
[14] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
[15] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
|
|
|
|