文献类型：期刊文献

英文题名：Evaluation of the Deterioration State of Archaeological Wooden Artifacts: A Nondestructive Protocol based on Direct Analysis in Real Time - Mass Spectrometry (DART-MS) Coupled to Chemometrics

作者：Guo, Juan[1] Zhang, Maomao[1] Liu, Jian'an[2] Luo, Rupeng[2] Yan, Tingting[1] Yang, Tao[3] Jiang, Xiaomei[1] Dong, Mengyu[1] Yin, Yafang[1]

第一作者：郭娟

通信作者：Yin, YF[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China;[2]Zhejiang Prov Inst Cultural Rel & Archaeol, Hangzhou 310012, Zhejiang, Peoples R China;[3]Chengdu Inst Cultural Rel & Archaeol, Chengdu 610072, Sichuan, Peoples R China

年份：2020

卷号：92

期号：14

起止页码：9908-9915

外文期刊名：ANALYTICAL CHEMISTRY

收录：;EI(收录号：20203509103493);Scopus(收录号：2-s2.0-85089807335);WOS:【SSCI(收录号:WOS:000554986200059)，SCI-EXPANDED(收录号:WOS:000554986200059)】；

基金：This work is supported by "the Fundamental Research Funds for the Central Non-profit Research Institution of CAF" (grant no. CAFYBB2018QB006). Dr. Wen Zhou from Peking University is acknowledged for the discussion of MS analysis. Dr. Charles C. Liu from ASPEC Technologies Limited, Beijing, China is acknowledged for the discussion of DART device. Mr. Fan Yang, Mr. Qing Zhang and Mr. Bin Liang from Bruker China, are acknowledged for the data processing of raw MS data. Ms. Ying Tang and Mr. Qi Jiang from DKSH China, are acknowledged for the analysis of element contents in archaeological wood specimens using elemental analysis. Mr. Yonggang Zhang, Ms. Jie Wang and Miss Shoujia Liu from Research Institute of Wood Industry, Chinese Academy of Forestry, China are acknowledged for sample preparations for wood identification and DART-FTICR-MS measurements.

语种：英文

外文关键词：Dimers - Discriminant analysis - Ions - Least squares approximations - Lignin - Mass spectrometry - Wood preservation

摘要：Evaluating the deterioration state of archeological wood is obligatory before the preservation of archeological wooden artifacts. Herein, a nondestructive, accurate, and rapid methodology is first developed via direct analysis in real time-mass spectrometry (DART-MS) with chemometrics to classify archeological wood and recent wood into 3 groups according to their deterioration states. As water in wooden artifacts probably affected the ion fragmentation process during DART-MS, ions responsible for evaluating the deterioration state were separately screened toward waterlogged archeological wood and dried archeological wood by partial least-squares discriminant analysis (PLS-DA). The well-defined separation of severely decayed archeological wood, moderately decayed archeological wood and recent wood was revealed in PLS-DA models. Twenty and 27 wood fragment ions were further screened as key variables to evaluate the deterioration state of waterlogged archeological wood and dried archeological wood, respectively. They were tentatively identified as ions of lignin monomeric compositions, lignin dimers, lignin trimers, and oligosaccharides. Results strongly suggested that differences in the structure and relative abundances of wood cell wall components accounts for the evaluation of deterioration state by DART-MS coupled to chemometrics. PLS-DA models provided (RY)-Y-2 = 0.836, Q(2) = 0.817, and (RY)-Y-2 = 0.754, Q(2) = 0.682 were then established separately using mass spectral fingerprints of respective potential predictive wood fragment ions. Furthermore, archeological woods, consisting of Castanopsis, Quercus, Idesia, Populus, and Cunninghamia species and with an average MWC range of 103-465%, were used as an external validation set and evaluated with the methodology developed herein and the MWC criteria. Results showed that DART-MS coupled to chemometrics could accurately predict the inhomogeneous deterioration states of archeological wooden artifacts and avoid the interference of inorganic deposits, in comparison with the MWC criteria.