2025 : 9 : 29

Mahmoud Roushani

Academic rank: Professor
ORCID:
Education: PhD.
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HIndex:
Faculty: Basic Science
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Research

Title
Applications of electronic tongue system for quantifcation of safranal concentration in safron (Crocus sativus L.)
Type
JournalPaper
Keywords
Saffron · Safranal concentration · Electronic tongue · Principal component analysis · Artificial neural network
Year
2020
Journal JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION
DOI
Researchers Shekoufeh Yousefi Nejad ، Kobra Heidarbeigi ، Mahmoud Roushani

Abstract

In the present research the electronic tongue system was proposed consisted of an array of 4 voltammetric sensors to discriminate saffron samples based on the safranal concentration. Different samples were provided by blending saffron samples with distilled water and pure safranal with ethanol. The provided signals by the electronic tongue system were analyzed using the PCA and ANN methods. The total variance among safranal concentrations by PCA method were 90% and 100% in pure safranal and saffron samples, respectively. Also, it was revealed that the electronic tongue could provide good prediction for safranal concentration in saffron as 98.81% accuracy by means of optimized ANN model. Results showed that there are some relationships between HPLC and electronic tongue signals to determine safranal concentration levels in different saffron samples.