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題 名 | 四十種商用木材之全反射傅立葉轉換紅外線指紋圖譜及其主成分分析=FTIR-ATR Fingerprint Spectra and Principal Component Analysis of Forty Commercial Timber Species |
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作 者 | 洪克昌; 黃御軒; 李家皇; 吳志鴻; | 書刊名 | 林產工業 |
卷 期 | 31:1 2012.03[民101.03] |
頁 次 | 頁7-12 |
分類號 | 436.71 |
關鍵詞 | 商用木材; 全反射傅立葉轉換紅外線光譜; 指紋圖譜; 主成分分析; 集群分析; Commercial timber; FTIR-ATR; Fingerprint spectra; PCA; Cluster analysis; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究利用全反射傅立葉轉換紅外線光譜(Fourier transform infrared-attenuated total reflection spectroscopy,FTIR-ATR)對台灣常見20種針葉樹與20種闊葉樹之商用木材進行指紋圖譜分析,並配合主成分分析(Principal component analysis,PCA)作為材種區分之依據。試驗結果顯示,不同種木材具有特定FTIR-ATR吸收峰位置及強度,且經主成分分析後,能有效區分針闊葉樹木材。此外,將試材圖譜進行集群分析(Cluster analysis)後發現,針葉樹中同科試材間具有相似的吸收峰特性,因此可有效區分樹種間的差異。而利用此一非破壞性之分析方式,能方便且快速辨別針闊葉樹及木材科屬間的不同,因此未來將可作為商用木材鑑別之輔助參考。 |
英文摘要 | The main purpose of this study is not only to obtain fingerprint spectra but also identify tree species from 40 commercial timber species (including 20 softwoods and 20 hardwoods) by Fourier transform infrared-attenuated total reflection spectroscopy (FTIR-ATR) combined with principal component analysis (PCA). The experimental results showed that the major separation between softwoods and hardwoods in score plots was easily achieved by this technique. In addition, FTIR-ATR fingerprint spectra of 20 softwoods could be used to segregate rapidly the differences between Families by using cluster analysis. Accordingly, this non-destructive technique could be used as a computer-assisted auxiliary system for commercial timber identifications in the future. |
本系統中英文摘要資訊取自各篇刊載內容。