1. Beijing Key Laboratory of Optical Detection Technology for Oil and Gas，China University of Petroleum, Beijing 102249, China
2. School of Science, China University of Petroleum, Beijing 102249, China
3. Grassland Workstation of Inner Mongolia, Huhhot 010020, China
A Study of the Terahertz Time-Domain Spectroscopy for Qualitative Identification of Alfalfa Forages from Different Varieties
WANG Fang1,2, GUO Shuai1,2, ZHAO Jing-feng3, XIA Hong-yan3, BAO Ri-ma1,2, ZHAN Hong-lei1,2, WANG Jia-ni1,2
Abstract：In this study, terahertz time-domain spectroscopy (THz-TDS) and multivariate statistical methods were used to demonstrate the feasibility of identifying fourteen alfalfa forage varieties that look extremely similar. THz spectra parameters, such as refractive index and absorption coefficient, were calculated from 0.1 to -1.5 THz, and the test spectrum revealed that different kinds of alfalfa grass seeds are different in time delay, absorption intensity and average refractive index. Although these characteristics differences mentioned above mean that the THz-TDS are feasible to identify alfalfa forage varieties, the statistical methods, including cluster analysis (CA) and principal component analysis (PCA), were used to build models between THz parameters and different alfalfa forage varieties because there was no characteristics absorption peak as fingerprint identification basis. The Euclidean distances of CA between forage grasses, and the scores of the first principal component (PC1) in PCA method reflect the forage-dependent differences, indicating the consistency between CA and PCA. Consequently, the combination of THz technology and statistical methods can be an effective method for the rapid identification of alfalfa forage with different properties. Furthermore, this combination method also provides a favorable basis for establishing the THz spectrum database of forage species in the future.
基金资助: Study and Demonstration on Identification and Traceability Management Grass Varieties in Inner Mongolia (HX20160130)
作者简介: WANG Fang, (1969—), female, associate professor in China University of Petroleum (Beijing) e-mail:
wangfang6402@163.com
引用本文:
王 芳，郭 帅，赵景峰，夏红岩，宝日玛，詹洪磊，王嘉妮. 利用太赫兹时域光谱定性鉴别不同品种的苜蓿的研究[J]. 光谱学与光谱分析, 2018, 38(11): 3638-3644.
WANG Fang, GUO Shuai, ZHAO Jing-feng, XIA Hong-yan, BAO Ri-ma, ZHAN Hong-lei, WANG Jia-ni. A Study of the Terahertz Time-Domain Spectroscopy for Qualitative Identification of Alfalfa Forages from Different Varieties. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(11): 3638-3644.
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