文献类型：期刊文献

英文题名：Timber species identification from chemical fingerprints using direct analysis in real time (DART) coupled to Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS): comparison of wood samples subjected to different treatments

作者：Zhang, Maomao[1,2,3] Zhao, Guangjie[3] Guo, Juan[1,2] Wiedenhoeft, Alex C.[4,5] Liu, Charles C.[6] Yin, Yafang[1,2]

第一作者：Zhang, Maomao

通信作者：Yin, YF[1];Yin, YF[2]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Dept Wood Anat & Utilizat, Beijing 100091, Peoples R China;[2]Chinese Acad Forestry, Wood Collect WOODPEDIA, Beijing 100091, Peoples R China;[3]Beijing Forestry Univ, Coll Mat Sci & Technol, Beijing 100083, Peoples R China;[4]US Forest Serv, Ctr Wood Anat Res, USDA, Forest Prod Lab, Madison, WI 53726 USA;[5]Univ Wisconsin, Dept Bot, Madison, WI 53706 USA;[6]ASPEC Technol Ltd, Beijing 100101, Peoples R China

年份：2019

卷号：73

期号：11

起止页码：975-985

外文期刊名：HOLZFORSCHUNG

收录：;EI(收录号：20192507077177);Scopus(收录号：2-s2.0-85067426490);WOS:【SCI-EXPANDED(收录号:WOS:000494835300001)】；

基金：This work was financially supported by the National High-level Talent for Special Support Program of China (the National "Ten Thousand" Talents Plan) (Grant No. W02020331) and the Fundamental Research Funds of the Chinese Academy of Forestry, Funder Id: http://dx.doi.org/10.13039/501100004543 (Grant No. CAFYBB2017ZE003).

语种：英文

外文关键词：air-dried wood chips; DART-FTICR-MS; metabolomics analysis; OPLS-DA; species-level wood identification

摘要：Timber genus identification based on the anatomical features of wood is well established in botany. However, species-level wood identification is not always possible based on traditional wood morphology techniques alone. To compensate for the deficiencies of traditional methods, direct analysis in real time coupled to Fourier transform ion cyclotron resonance mass spectrometry (DART-FTICR-MS) was used to obtain the mass spectral fingerprints of different timber species. Using heartwood samples of two morphologically similar species, Pterocarpus santalinus and Pterocarpus tinctorius, subjected to different treatments, i.e. solvent extractions and powdered samples as well as air-dried samples and samples dried at low and high temperatures, we observed distinct chemical signatures for the wood samples from the two species, enabling rapid species-level identification when multivariate statistical analysis was adopted. The supervised orthogonal partial least squares discriminant analysis (OPLS-DA) models for samples subjected to different treatments all exhibited accurate differentiation performance of the explained fraction of variance of classes ((RY)-Y-2 = 0.936-0.987) and the cross-validated fraction of variance of classes (Q(2) =0.857-0.949). Compared with solvent types and the physical form of the sample, the drying treatment method had a greater impact on the chemical fingerprint from DART-FTICR-MS. Air-dried wood chips were the optimal samples for the DART-FTICR-MS method coupled with statistical analysis.