四种黑檀心材的红外光谱差异化与聚类分析

doi:10.3964/j.issn.1000-0593(2022)06-1915-07

Abstract
References
Related Citation (15)

Download: PDF (5085 KB)
Export: BibTeX | EndNote (RIS)

Abstract A fast discrimination method of four black heartwoods was developed by Fourier Transform Infrared Spectroscopy (FTIR) combining with clustering analysis. In FTIR spectra, the principal chemical components of heartwood were characterized for cellulose (the bands at around ~1 370, ~1 158, ~1 034 and ~895 cm^-1), lignin (the bands around ~2 935, ~1 510, ~1 462 and ~1 426 cm^-1) and calcium oxalate (peaks at ~1 615, ~1 318 and ~781 cm^-1). The correlation coefficient and relative intensity among samples with standard material result that D. ebenum and D. melanoxylon are lignin-rich, while C. imberbe contains more calcium oxalate. G. conjugate has peaked at 1 738 cm^-1 means it contains resin. Based on the correlation coefficient, the method of Compare clustering analysis was used to classify four blackwoods. The classification rate was above 95% during blind sample testing. Meanwhile, four blackwood were successfully classified by the method of SIMCA clustering analysis. The recognition rate and rejection rate reached up to 100%. The accuracy of clustering reached up to 100% during blind sample testing. It explained that the four tree species could be classified and identified completely by SIMCA clustering analysis. Besides, cellulose showed high thermal sensitivity in D. ebenum and D. melanoxylon through the 2DCOS-IR synchronous spectra. Calcium oxalate showed high thermal sensitivity in C. imberbe and lignin showed high thermal sensitivity in D. melanoxylon. Combined with cluster analysis calculation and 2DCOS-IR, FTIR can analyze the relative content of the main composition of wood and quickly and effectively classify the pattern recognition of wood species based on the improving clustering model.

Key words：Wood identification; FTIR; Clustering recognition; 2DCOS-IR

Received: 2021-04-04 Accepted: 2021-06-30

ZTFLH:

S781

Corresponding Authors: ZHANG Qiu-hui E-mail: qhzh66@163.com

Cite this article:

MA Fang,HUANG An-min,ZHANG Qiu-hui. Discrimination of Four Black Heartwoods Using FTIR Spectroscopy and Clustering Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1915-1921.

URL:

http://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2022)06-1915-07 OR http://www.gpxygpfx.com/EN/Y2022/V42/I06/1915

[1] General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China(中华人民共和国国家质量监督检验检疫总局). GB/T 18107—2017, Hongmu(GB/T 18107—2017, 红木)，2017.
[2] State Forestry and Grassland Administration of the People’s Republic of China(中华人民共和国国家林业和草原局). Convention on International Trade in Endangered Species of Wild Fauna and Flora Appendix Ⅱ(濒危野生动植物种国际贸易公约附录Ⅱ), 2019.
[3] ZHOU Xu, JIA Dong-yu, SUN Shu-dong, et al(周旭, 贾东宇, 孙书冬, 等). Wood Processing Machinery(木材加工机械), 2017, 28(5): 1.
[4] LI Yi-fan, LIAO Xiao-mei, ZHAO Han-xiao, et al(李奕凡, 廖晓梅, 赵晗肖, 等). Furniture(家具), 2018, 39(5): 9.
[5] ZHANG Wen-qiang, ZHANG Bei, HAN Yu-jie, et al(张文强, 张贝, 韩玉洁, 等). Journal of Green Scinece and Technology(绿色科技), 2020, 2: 222.
[6] Ma Fang, Huang Anmin. Journal of Molecular Structure, 2018, 1166: 164.
[7] Wang Fang, Huang Anmin, Yin Xiaoqian, et al. Chinese Chemical Letters, 2018, 29: 1395.
[8] Yin Xiaoqian, Huang Anmin, Zhang Shifeng, et al. Molecules, 2018, 23: 2163.
[9] Li Qiwei, Wu Jidong, Wang Yesheng, et al. Holzforschung, 2017, 71(12): 939.
[10] Kalaw J M, Sevilla III F B. Holzforschung, 2018, 72(3): 215.
[11] FENG Guo-hong, ZHU Yu-jie, LI Yao-xiang(冯国红，朱玉杰，李耀翔). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2020, 40(7): 2128.
[12] SUN Su-qin, ZHOU Qun, CHEN Jian-bo(孙素琴，周群，陈建波). Analysis of Traditional Chinese Medicine by Infrared Spectroscopy(中药红外光谱分析与鉴定). Beijing: Chemical Industry Press (北京：化学工业出版社), 2010.
[13] Chinese Pharmacopoeia Commission(国家药典委员会). Pharmacopoeia of the People’s Republic of China Part 1 (中华人民共和国药典一部). Beijing: China Medical Science Press(北京：中国医药科技出版社), 2020.