Non-destructive determination of volatile oil and moisture content and discrimination of geographical origins of Zanthoxylum bungeanum Maxim. by hyperspectral imaging

Jingxuan Ke,L. Rao,Liming Zhou,Xiaoyan Chen,Zhiqing Zhang

Published 2020 in Infrared physics & technology

ABSTRACT

Abstract Zanthoxylum bungeanum Maxim. is now known as a condiment type providing both medical applications and food. The volatile oil content and moisture content are two main quality indicators of Zanthoxylum, and the former is considered to be influenced by the growth region, climate and other environmental factors. Here, the feasibility of hyperspectral imaging in the range of 380–1040 nm to determine the volatile oil and moisture content of Z. bungeanum thus evaluating quality and distinguishing geographical origin were investigated. Regression statistical methods of partial least square, support vector regression (SVR) and extreme learning machine and wavelengths selection algorithms of competitive adaptive reweighted sampling (CARS) and variable combination population analysis were applied. The CARS-SVR models proved to be satisfying for predicting the volatile oil and moisture content. The correlation coefficient of calibration and residual predictive deviation values were 0.9059, 2.87 for volatile oil content and 0.8304, 1.94 for moisture content, respectively. Furthermore, SVM was used to classify the geographical origin of Z. bungeanum samples with an accuracy of 97.29% in the prediction set. The results suggested that HSI exhibits suitable characteristics for determining the volatile oil and moisture content in Z. bungeanum.

PUBLICATION RECORD

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-42 of 42 references · Page 1 of 1

CITED BY

Showing 1-23 of 23 citing papers · Page 1 of 1