文献类型：期刊文献

英文题名：Non-destructive preservation state estimation of waterlogged archaeological wooden artifacts

作者：Chen, Jiabao[1,2] Liu, Shoujia[1,2] Yin, Lijuan[1,2] Cao, Huimin[1] Xi, Guanglan[3,4] Zhang, Zhiguo[3] Liu, Jian'an[5] Luo, Rupeng[5] Han, Liuyang[4] Yin, Yafang[1,2] Guo, Juan[1,2]

第一作者：Chen, Jiabao

通信作者：Guo, J[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Dongxiaofu 1, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Wood Collect, Dongxiaofu 1, Beijing 100091, Peoples R China;[3]Natl Ctr Archaeol, Heping Rd 21, Beijing 100031, Peoples R China;[4]Univ Sci & Technol Beijing, Inst Cultural Heritage & Hist Sci & Technol, Xueyuan Rd 30, Beijing 100083, Peoples R China;[5]Zhejiang Prov Inst Cultural Rel & Archaeol, Jiaogong Rd 71, Hangzhou 310012, Zhejiang, Peoples R China

年份：2023

卷号：285

外文期刊名：SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

收录：;EI(收录号：20223812761365);Scopus(收录号：2-s2.0-85138036743);WOS:【SCI-EXPANDED(收录号:WOS:000862810900006)】；

语种：英文

外文关键词：Waterlogged archaeological wood; NIR; Preservation state; Softwood; Hardwood; Non-destructive

摘要：Non-destructive preservation state estimation is an essential prerequisite for the preservation and conservation of waterlogged archaeological wooden artifacts. Herein, Near Infrared (NIR) spectroscopy coupled with orthogonal partial least squares discriminant analysis (OPLS-DA) were applied to assess sixty-four waterlogged archaeo-logical woods collected from seven excavation sites in the period range of 2900 BCE-1912 CE, aiming at developing a non-destructive, accurate and rapid preservation state estimation methodology. The role of non -decayed recent wood of relevant species on preservation state estimation was studied in prior, showing the use of non-decayed recent wood could not improve the predictive ability. Besides, the high variability in terms of chemical structure between archaeological softwoods and archaeological hardwoods did affect the preservation state estimation. Thus, a simple OPLS-DA model of non-destructively distinguishing archaeological hardwoods from softwoods, (RXcum)-X-2 of 0.659, R(2)Y(cum )of 0.836 and Q(cum)(2) of 0.763, was established to avoid and overcome destructive approach for wood identification. Then, the well-defined three grouped separations of slightly -decayed, moderately-decayed and severely-decayed waterlogged archaeological woods were revealed in OPLS-DA models, providing (RXcum)-X-2 of 0.793, (RYcum)-Y-2 of 0.738, Q(cum)(2) of 0.680, and (RXcum)-X-2 of 0.780, (RYcum)-Y-2 of 0.901, Q(cum)(2) of 0.870, for waterlogged archaeological hardwoods and waterlogged archaeological softwoods respectively. Potential predictive wood spectral bands were screened and tentatively identified as hydroxyls of crystalline cellulose, acetyl groups of hemicelluloses, C-H bands of lignin, which guaranteed the elimination of non-structural compounds, such as water and inorganic components interference. Furthermore, the developed NIR methodology was validated by an extensively used destructive method consisting of anatomical charac-teristics, maximum water content and basic density analyses. The results indicated that NIR coupled to che-mometrics could non-destructively and accurately predict the preservation states of waterlogged archaeological wooden artifacts and avoid the interference of water and inorganic deposits.