Investigating the effect of growth age of the mint plant on the odor released from the leaves with the help of electronic nose and chemometrics methods

Zorpeykar, Sepideh; Mirzaee- Ghaleh, Esmaeil; Karami, Hamed; Ramedani, Zeynab; Wilson, Alphus Dan

doi:10.22034/jrmam.2023.14116.631

Investigating the effect of growth age of the mint plant on the odor released from the leaves with the help of electronic nose and chemometrics methods

Document Type : Research Paper

Authors

Sepideh Zorpeykar ¹

Esmaeil Mirzaee- Ghaleh ²

Hamed karami ¹

Zeynab Ramedani ¹

Alphus Dan Wilson ³

¹ Department of Mechanical Engineering of Biosystems, Razi University, Kermanshah, Iran

² Mechanical engineering of biosystems department, faculty of agriculture, Razi University, Kermanshah, Iran

³ Pathology Department, Southern Hardwoods Laboratory, Center for Forest Genetics & Ecosystems Biology, Southern Research Station, USDA Forest Service, 432 Stoneville Road, Stoneville, MS 38776, USA

https://doi.org/10.22034/jrmam.2023.14116.631

Abstract

Medicinal plants are widely used in many fields around the world. Medicinal plants are an integral part of daily life and the increase in demand for these plants leads to fraud and reduced quality in the final product. Therefore, authentication is vitally important for consumers. Mint is valuable because of its medicinal properties and its essential oil, which is used in the food, pharmaceutical, cosmetic and health industries. In this research, the use of electronic nose to detect the age of mint plant by the odor emitted from its leaves was investigated. The main branches of mint plant with different ages of one to five years were taken from the distance of 4 to 5 cm from the ground. An electronic nose equipped with 8 metal oxide sensors was used to carry out experiments. To analyze the data, PCA, LDA and QDA analyzes were used. PCA results showed that 95% of the total variance of the data was explained by PC1 and 4% by PC2, and the two principal components expressed accounted for 99% of the variance of the normalized data. Also, the QDA method was 100% accurate in determining the age of the mint plant. The electronic nose has shown that it is a fast and effective tool to detect the quality parameters of plants and agricultural products.

Keywords

Age

aroma

electronic nose

Machine olfaction

mint

Subjects