中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Terahertz spectral imaging based quantitative determination of spatial distribution of plant leaf constituents

文献类型:期刊论文

作者Zang, Ziyi1,2; Wang, Jie1,2; Cui, Hong-Liang1,2; Yan, Shihan1
刊名PLANT METHODS
出版日期2019-09-13
卷号15期号:1页码:11
关键词Terahertz imaging Quantitative analysis Plant leaf Water content Solid matter content Gas content Spatial variability Plant disease detection
DOI10.1186/s13007-019-0492-y
通讯作者Cui, Hong-Liang(hcui@jlu.edu.cn) ; Yan, Shihan(yanshihan@cigit.ac.cn)
英文摘要Background Plant leaves have heterogeneous structures composed of spatially variable distribution of liquid, solid, and gaseous matter. Such contents and distribution characteristics correlate with the leaf vigor and phylogenic traits. Recently, terahertz (THz) techniques have been proved to access leaf water content and spatial heterogeneity distribution information, but the solid matter content and gas network information were usually ignored, even though they also affect the THz dielectric function of the leaf. Results A particle swarm optimization algorithm is employed for a one-off quantitative assay of spatial variability distribution of the leaf compositions from THz data, based on an extended Landau-Lifshitz-Looyenga model, and experimentally verified using Bougainvillea spectabilis leaves. A good agreement is demonstrated for water and solid matter contents between the THz-based method and the gravimetric analysis. In particular, the THz-based method shows good sensitivity to fine-grained differences of leaf growth and development stages. Furthermore, such subtle features as damages and wounds in leaf could be discovered through THz detection and comparison regarding spatial heterogeneity of component contents. Conclusions This THz imaging method provides quantitative assay of the leaf constituent contents with the spatial distribution feature, which has the potential for applications in crop disease diagnosis and farmland cultivation management.
资助项目Basic Research and Frontier Technology Projects of Beibei District, Chongqing, China[2019-5] ; Technology Innovation and Application Demonstration Research Project of Chongqing, China[cstc2018jscx-msybX0084] ; National Key R&D Program of China[2016YFC0101301]
WOS研究方向Biochemistry & Molecular Biology ; Plant Sciences
语种英语
出版者BMC
WOS记录号WOS:000485872700001
源URL[http://119.78.100.138/handle/2HOD01W0/8338]  
专题太赫兹技术研究中心
通讯作者Cui, Hong-Liang; Yan, Shihan
作者单位1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
2.Jilin Univ, Coll Instrumentat & Elect Engn, Changchun 130061, Jilin, Peoples R China
推荐引用方式
GB/T 7714
Zang, Ziyi,Wang, Jie,Cui, Hong-Liang,et al. Terahertz spectral imaging based quantitative determination of spatial distribution of plant leaf constituents[J]. PLANT METHODS,2019,15(1):11.
APA Zang, Ziyi,Wang, Jie,Cui, Hong-Liang,&Yan, Shihan.(2019).Terahertz spectral imaging based quantitative determination of spatial distribution of plant leaf constituents.PLANT METHODS,15(1),11.
MLA Zang, Ziyi,et al."Terahertz spectral imaging based quantitative determination of spatial distribution of plant leaf constituents".PLANT METHODS 15.1(2019):11.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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