CAJ | 학술논문

木材化学分类法的研究较少.通过木材的化学成分和化学计量学方法,从分子的角度鉴别珍贵木材,具有重要意义.本文通过GC-FID实验,采集阔叶黄檀等5种18批次的红木样本的色谱数据,所建立实验方法重现性好.将所得色谱数据,进行色谱峰对齐和自标度化预处理,然后PCA投影.12个建模样本被分成4类,与各样本已知的植物学分类一致.以所建立的分类方法(即PCA投影空间),识别其余6个待鉴别样本,结果准确达到分离聚类.本方法利用现代分析仪器和模式识别法实现了对红木的分类和识别,为珍贵木材的化学分类鉴别法提供理论依据.
목재화학분류법적연구교소.통과목재적화학성분화화학계량학방법,종분자적각도감별진귀목재,구유중요의의.본문통과GC-FID실험,채집활협황단등5충18비차적홍목양본적색보수거,소건립실험방법중현성호.장소득색보수거,진행색보봉대제화자표도화예처리,연후PCA투영.12개건모양본피분성4류,여각양본이지적식물학분류일치.이소건립적분류방법(즉PCA투영공간),식별기여6개대감별양본,결과준학체도분리취류.본방법이용현대분석의기화모식식별법실현료대홍목적분류화식별,위진귀목재적화학분류감별법제공이론의거.
Chemical method is not well established in wood classification study.Using chromatogram data,we developed a pattern recognition method on Mahogany based on Principle Component Analysis(PCA)in this study.We collected chromatogram data from 5 Mahogany species by means of GC-FID technology with good reproducibility.After data preprocessing,such as peak alignment and autescaling,classical chemometric method of PCA is applied to resolve the data.12 samples from 4 species are classified into corresponding 4 groups,which is consistent with the botanic taxonomy.Then we take prediction test with our model for another 6 presumed undeterminod samples.The undetermined samples are projected into the existing linear space,as a result,3 groups fall into the corresponding known PCA clusters and 1 group is outside the PCA clusters,which is also consistent with the botanic taxonomy.The result indicates that our methods do good performance in Mahogany classification and species prediction.Our methods also provide a theoretical basis for the further research of precious wood's classification and discrimination.