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Geographical origin and species identification of lilii bulbus using C/N/H/O stable isotopes and multi-elemental combined chemometrics.

Authors :
Hai, Chengying
Chen, Hengye
Suo, Yixin
Guan, Yuting
Wang, Siyu
Lan, Wei
Long, Wanjun
Yang, Xiaolong
Yang, Jian
Fu, Haiyan
Source :
Journal of Food Composition & Analysis. Mar2023, Vol. 116, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Lilii bulbus is an important food in China with medicinal and edible functions, and its quality and price are closely related to its geographical origin. In this work, 4 stable isotopes (δ13C, δ15N, δ2H and δ18O) and 41 mineral elements of lilii bulbus samples from 11 origins and 4 species were collected and combined with chemometrics to identify origins and species. ANOVA and principal component analysis (PCA) showed significant differences (P < 0.05) in stable isotopes and multiple elements in lilii bulbus samples from different origins, and Cu, Zn, K, δ18O, Sr and Li are important contributors to the classification. Partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to classify different species of lilii bulbus with good classification performance, while indicating that K, Ca, Na and Mg elements could be used as effective elements for species classification. The external validation model of OPLS-DA showed high accuracy (>89%) for lilii bulbus species classification. This study shows that stable isotopes and multi-elemental combined chemometrics provide an effective method for lilii bulbus origin and species identification. [Display omitted] • Geographic identification of lilii bulbus with stable isotopes and elements is feasible. • δ18O are useful factors for identifying lilii bulbus's geographical origin. • K, Ca, Na and Mg are important factors to distinguish different species of lilii bulbus samples. • The accuracy of OPLS-DA in discriminating lilii bulbus species is more than 89.61%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08891575
Volume :
116
Database :
Academic Search Index
Journal :
Journal of Food Composition & Analysis
Publication Type :
Academic Journal
Accession number :
160982525
Full Text :
https://doi.org/10.1016/j.jfca.2022.105062