Journal article

Multivariate statistical analysis combined with e-nose and e-tongue assays simplifies the tracing of geographical origins of Lycium ruthenicum Murray grown in China.

Z Wang, Y Yan, T Nisar, L Sun, Z Yang, Y Guo, H Wang, Z Fang

Food Control | Elsevier | Published : 2019

Abstract

This study aims to develop a fast and simple method to trace the geographical origins, harvest years and varieties of Lycium ruthenicum Murray (LRM) grown in China by employing e-nose and e-tongue assays and their combination. Principal component analysis (PCA) and linear discriminant analysis (LDA) were applied for qualitative classification and quantitative prediction. The results showed that e-nose and e-tongue assays and their combination failed to recognize harvest years and varieties of LRM, but achieved reliable results for tracing LRM geographical origins with a total classification ability of 86.4%, 86.8% and 92.6% respectively. In addition, the analysis procedure required shorter t..

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University of Melbourne Researchers

Grants

Awarded by China Agriculture Research System


Awarded by National Natural Science Foundation of China


Awarded by Qinghai Province Research Project


Funding Acknowledgements

This work was supported by China Agriculture Research System (CARS-28), National Natural Science Foundation of China (21557001 & 81460652), Qinghai Province Research Project (2017-ZJ-774), Research Fund of Qinghai Normal University, and Study Abroad Research Program at the University of Melbourne, Australia.