Self-modeling curve resolution techniques applied to comparative analysis of volatile components of Iranian saffron from different regions
Mehdi Jalali‐Heravi(Sharif University of Technology), Heshmatollah Ebrahimi‐Najafabadi(Sharif University of Technology), Hadi Parastar(Technische Hochschule Mannheim)
Cited by 55
Related Papers
Deep learning in analytical chemistry
|TrAC Trends in Analytical Chemistry|2021|170
Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy based on chemometrics for saffron authentication and adulteration detection
|Food Chemistry|2020|158
Characterization of volatile components of Iranian saffron using factorial-based response surface modeling of ultrasonic extraction combined with gas chromatography–mass spectrometry analysis
|Journal of Chromatography A|2009|152