Literature DB >> 32106026

Rapid and intelligent discrimination of Notopterygium incisum and Notopterygium franchetii by infrared spectroscopic fingerprints and electronic olfactory fingerprints.

Jianbo Chen1, Jing Fan2, Dan Wang2, Shiyan Yue2, Xiaolin Zhai2, Yuan Gong3, Jingjuan Wang4.   

Abstract

This preliminary research evaluated mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy and electronic nose (E-nose) for the rapid identification of Notopterygium incisum and Notopterygium franchetii, which were both approved sources of Notopterygii Rhizoma et Radix (Chinese Pharmacopoeia, 2015) but possessed different chemical compositions and pharmacological activities. At the level of single variables, MIR showed quite a few discriminating peaks in the regions of 3000-2800 cm-1 (the stretching bands of CH), 1770-1670 cm-1 (the stretching bands of CO), and 1400-1200 cm-1 (the bending bands of CH and the stretching bands of CO). Meanwhile, NIR only showed an intuitive discriminating peak near 4736 cm-1 (the combination band of OH and CO stretching modes). E-nose response signals of N. incisum and N. franchetii were significant different (p < 0.05) on four sensors, i.e., LY2/LG, LY2/GH, LY2/gCT and LY2/gCTI. Using the infrared spectra or E-nose sensor responses as fingerprints, support vector machine (SVM) models can provide good recognition accuracy (100% for MIR and NIR models, 92.9% for E-nose model). This research indicated the feasibility of MIR, NIR and E-nose for the accurate, rapid, cheap and green identification of N. incisum and N. franchetii, which was desirable to assure the authenticity, efficacy and safety of related herb materials and products.
Copyright © 2020 Elsevier B.V. All rights reserved.

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Keywords:  Electronic nose; MIR spectroscopy; NIR spectroscopy; Notopterygii Rhizoma et Radix; Principal component analysis; Support vector machine

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Year:  2020        PMID: 32106026     DOI: 10.1016/j.saa.2020.118176

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  1 in total

1.  Bioherbicidal potential of plant species with allelopathic effects on the weed Bidens bipinnata L.

Authors:  Robson Willian Nunes Lopes; Estefenson Marques Morais; Julian Junio de Jesus Lacerda; Francisca Diana da Silva Araújo
Journal:  Sci Rep       Date:  2022-08-05       Impact factor: 4.996

  1 in total

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