Characterization of volatile components of Iranian saffron using factorial-based response surface modeling of ultrasonic extraction combined with gas chromatography–mass spectrometry analysis
Mehdi Jalali‐Heravi(Sharif University of Technology), Heshmatollah Ebrahimi‐Najafabadi(Sharif University of Technology), Hadi Parastar(Technische Hochschule Mannheim)
Cited by 152
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
Multivariate Curve Resolution of Hyphenated and Multidimensional Chromatographic Measurements: A New Insight to Address Current Chromatographic Challenges
|Analytical Chemistry|2013|134
Resolution and Quantification of Complex Mixtures of Polycyclic Aromatic Hydrocarbons in Heavy Fuel Oil Sample by Means of GC × GC-TOFMS Combined to Multivariate Curve Resolution
|Analytical Chemistry|2011|124
Synthesis, X-ray structure and oxidation catalysis of a oxido–peroxido molybdenum(VI) complex with a tridentate Schiff base ligand
|Inorganic Chemistry Communications|2012|122