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作 者:朱涛 卓金勋[1] 张秋龙 郑承镇 林金国 ZHU Tao;ZHUO Jin-xun;ZHANG Qiu-long;ZHENG Cheng-zhen;LIN Jin-guo(Furniture Products Quality Supervision and Testing Center of Putian,Putian 351200,China;College of Material Engineering,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
机构地区:[1]莆田市家具产品质量监督检验中心,莆田351200 [2]福建农林大学材料工程学院,福州350002
出 处:《林产工业》2020年第2期32-36,共5页China Forest Products Industry
基 金:福建省质量技术监督局科技项目(FJQI2017036);福建省财政厅科研基金“进口木材特性与鉴别关键技术研究与推广”(K8115004A)
摘 要:分别对两个批次含瘿瘤的降香黄檀和大果紫檀木材,采用GC-MS技术顶空进样方式,获取其总离子流图并进行相关系数、系统聚类和特征性化学成分分析。结果表明:两种木材之间总离子流图差别大,无相关性,而同种木材不同批次间相似度高,均含有相同的特征峰,相关系数高(R>0.900);系统聚类分析进一步验证了该试验结果;两种含瘿瘤木材主要特征化学成分种类和含量也完全不同;相关性分析、聚类分析和特征性成分分析均可鉴别区分这两种含瘿瘤木材,解决了含瘿瘤木材传统方法难以鉴别的难题。In this paper, the technique of gas chromatographic mass spectrometry along with headspace injection method was employed to discriminate two batches of wood, namely Dalbergia odorifera and Pterocarpus macrocarpus with burl. Based on the total ion chromatorgraphy, similarities between test samples were evaluated by correlation coefficient, hierarchical clustering, and characteristic constituents analysis. The results revealed that the two species of wood showed prominent differences on total ion chromatorgraphy and showed no correlation. However, different batches of the same wood have the same characteristic peak along with high correlation coefficient(R>0.900). Moreover, the hierarchical clustering analysis further demonstrated the interrelations. Meanwhile, the main chemical constituents and content of two species with burl showed totally different;the two species wood can be identified by all the analytical methods, which solved the technical problem of wood with burl identification that cannot be identified by traditional methods.
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