干旱区生态环境知识资源中心(Arid): Classification of Sand Grains by Terahertz Time-Domain Spectroscopy and Chemometrics

Arid

DOI	10.1007/s41742-018-0159-y
	Classification of Sand Grains by Terahertz Time-Domain Spectroscopy and Chemometrics
	Liu, Panpan 1; Zhang, Xin 1; Pan, Baolin 2; Wei, Mingjian 2; Zhang, Zhuoyong 1; Harrington, Peter B.3
通讯作者	Zhang, Zhuoyong
来源期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH
ISSN	1735-6865
EISSN	2008-2304
出版年	2019
卷号	13 期号:1 页码:143-160
英文摘要	A novel method combining terahertz time-domain spectroscopy (THz-TDS) with chemometrics was proposed for classification of sand samples from different deserts and grain sizes. THz-TDS combined with chemometrics was firstly utilized for identifying the source of sand samples and analyzing the sizes of sand granule. Terahertz time-domain transmittance spectra were collected and then Savitzky-Golay smoothing and orthogonal signal correction (OSC) approaches were used for spectral pretreatment. Principal component analysis, partial least squares discriminant analysis, and support vector machine were used to establish classification models of the sand samples. The prediction correctness ranged between 94 and 97%. Scanning electron microscopy was used to investigate the morphology of the sand samples. The sand samples were analyzed by energy dispersive spectroscopy and the elemental content distributions were obtained. Fourier transform infrared absorption spectra of the sand samples were also collected. THz-TDS combined with multivariate modeling methods provided reliable and useful information to determine the provenance of the sands originated from different deserts in northern China. This work reveals that THz-TDS can be a useful tool for classification of sand from different deserts. Article HighlightsTHz-TDS combining chemometrics was first utilized for identifying sand sources.The sand samples from four different deserts in China were recognized.The sand samples with different particle sizes were classified.THz-TDS can be a useful tool for characterization of sand samples. [GRAPHICS] .
英文关键词	Sand source identification Terahertz spectroscopy Multivariate analysis Chemometrics
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000455920500013
WOS关键词	DIAGNOSIS ; CHINA
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216413
作者单位	1.Capital Normal Univ, Dept Chem, Beijing 100048, Peoples R China; 2.Capital Normal Univ, Coll Resource & Tourism, Beijing 100048, Peoples R China; 3.Ohio Univ, Ctr Intelligent Chem Instrumentat, Dept Chem & Biochem, Clippinger Labs, Athens, OH 45701 USA
推荐引用方式 GB/T 7714	Liu, Panpan,Zhang, Xin,Pan, Baolin,et al. Classification of Sand Grains by Terahertz Time-Domain Spectroscopy and Chemometrics[J],2019,13(1):143-160.
APA	Liu, Panpan,Zhang, Xin,Pan, Baolin,Wei, Mingjian,Zhang, Zhuoyong,&Harrington, Peter B..(2019).Classification of Sand Grains by Terahertz Time-Domain Spectroscopy and Chemometrics.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH,13(1),143-160.
MLA	Liu, Panpan,et al."Classification of Sand Grains by Terahertz Time-Domain Spectroscopy and Chemometrics".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH 13.1(2019):143-160.