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Detection of triterpene acids distribution in loquat (Eriobotrya japonica) leaf using hyperspectral imaging.
Shi, Jiyong; Chen, Wu; Zou, Xiaobo; Xu, Yiwei; Huang, Xiaowei; Zhu, Yaodi; Shen, Tingting.
Afiliação
  • Shi J; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Chen W; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Zou X; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; Key Laboratory of Modern Agricultural Equipment and Technology., Zhenjiang 212013, China. Electronic address: zou_xiaobo@ujs.edu.cn.
  • Xu Y; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Huang X; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Zhu Y; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
  • Shen T; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Spectrochim Acta A Mol Biomol Spectrosc ; 188: 436-442, 2018 Jan 05.
Article em En | MEDLINE | ID: mdl-28756259
Hyperspectral images (431-962nm) and partial least squares (PLS) were used to detect the distribution of triterpene acids within loquat (Eriobotrya japonica) leaves. 72 fresh loquat leaves in the young group, mature group and old group were collected for hyperspectral imaging; and triterpene acids content of the loquat leaves was analyzed using high performance liquid chromatography (HPLC). Then the spectral data of loquat leaf hyperspectral images and the triterpene acids content were employed to build calibration models. After spectra pre-processing and wavelength selection, an optimum calibration model (Rp=0.8473, RMSEP=2.61mg/g) for predicting triterpene acids was obtained by synergy interval partial least squares (siPLS). Finally, spectral data of each pixel in the loquat leaf hyperspectral image were extracted and substituted into the optimum calibration model to predict triterpene acids content of each pixel. Therefore, the distribution map of triterpene acids content was obtained. As shown in the distribution map, triterpene acids are accumulated mainly in the leaf mesophyll regions near the main veins, and triterpene acids concentration of young group is less than that of mature and old groups. This study showed that hyperspectral imaging is suitable to determine the distribution of active constituent content in medical herbs in a rapid and non-invasive manner.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Espectral / Triterpenos / Ácidos / Folhas de Planta / Imageamento Tridimensional / Eriobotrya Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Espectral / Triterpenos / Ácidos / Folhas de Planta / Imageamento Tridimensional / Eriobotrya Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido