Determination of geographic origins and types of Lindera aggregata samples using a portable short-wave infrared hyperspectral imager.
Hyperspectral imager
Lindera aggregata
Machine learning
Short-wave infrared
Journal
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
ISSN: 1873-3557
Titre abrégé: Spectrochim Acta A Mol Biomol Spectrosc
Pays: England
ID NLM: 9602533
Informations de publication
Date de publication:
15 Oct 2022
15 Oct 2022
Historique:
received:
07
03
2022
revised:
26
04
2022
accepted:
07
05
2022
pubmed:
25
5
2022
medline:
28
6
2022
entrez:
24
5
2022
Statut:
ppublish
Résumé
A portable short-wavelength infrared microscope hyperspectral imager (SMHI) combined with machine learning algorithms for the purpose of classifying geographical origins as well as root types of Lindera aggregata is developed. The spectral range of the SMHI system is 1090-1820 nm (5500-9100 cm-1) with spectral and spatial resolutions of 4 nm and 27.3 μm, respectively. Utilizing PCA-RF algorithms, the geographic origin of tuberous roots and leaves from five different origins were classified with accuracies of 97.5% and 97.8%, respectively. In addition, spatial identification of tuberous root and taproot tubers in a mixed sample was done with an accuracy of 98.98%. The accuracy of origin classification and spatial identification are high enough which indicate the significant potential of applying SMHI system into the non-invasive spatial mapping and rapid quality assessment of medicinal herbs.
Identifiants
pubmed: 35609393
pii: S1386-1425(22)00519-4
doi: 10.1016/j.saa.2022.121370
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
121370Informations de copyright
Copyright © 2022. Published by Elsevier B.V.