Electronic Nose Analysis and Statistical Methods for Investigating Volatile Organic Compounds and Yield of Mint Essential Oils Obtained by Hydrodistillation

• Published in: Chemosensors Vol. 10; no. 11; p. 486
• Main Authors: Zorpeykar, Sepideh, Mirzaee-Ghaleh, Esmaeil, Karami, Hamed, Ramedani, Zeynab, Wilson, Alphus Dan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2022
• Subjects: Artificial neural networks; Chromatography; Discriminant analysis; Distilled water; Electronic noses; Emissions; essential oil; Essential oils; Herbal medicine; Leaves; Mass spectrometry; Medicinal plants; mint; Neural networks; olfactory apparatus; Plants; Principal components analysis; Quality assessment; Quality control; Scientific imaging; Sensors; Statistical analysis; Statistical methods; Trends; VOCs; Volatile organic compounds; United States

A major problem associated with the development of medicinal plant products is the lack of quick, easy, and inexpensive methods to assess and monitor product quality. Essential oils are natural plant-derived volatile substances used worldwide for numerous applications. The important uses of these va...