Nashrieh Shimi va Mohandesi Shimi Iran

Nashrieh Shimi va Mohandesi Shimi Iran

Application of Multivariate Calibration Methods in Assessment of the Components Responsible for Antimicrobial Activity of Walnut Leaf Using Liquid Chromatography-Mass Spectrometry Technique

Document Type : Research Article

Authors
Saeed Masoum 1
Naser Samadi 2
Bahare Mehrara 2
Zohreh Zahraei 3
1 Department of Analytical Chemistry, Faculty of Chemistry, University of Kashan, Kashan, I.R. IRAN
2 Department of Chemistry, Faculty of Science, Urmia University, Urmia, I.R. IRAN
3 Department of Cell and Molecular Biology, Faculty of Chemistry, University of Kashan, Kashan, I.R. IRAN
Abstract
Walnut leaf has good antioxidant, antifungal and antimicrobial properties. In this study, a walnut leaf from different regions of Iran was collected and then its extract was analyzed by high-performance liquid chromatography-mass spectrometry (HPLC-MS). Antimicrobial properties of walnut leaf extract were evaluated by gram-positive bacteria of Staphylococcus aureus (ATCC29737) and Bacillus subtilis (ATCC 6633), gram-negative bacteria of Escherichia coli (ATCC10536) and Candida albicans yeast (ATCC10231) and by some linear multivariate calibration techniques, the peaks potentially responsible for the antimicrobial activity were indicated. The results of these techniques were displayed as regression graphs, which peaks with negative regression coefficients cause antimicrobial properties. Independent component regression was preferred to exhibit the potential antimicrobial active compounds in samples because of simplicity, better interpretation of regression coefficients, and its high repeatability. Finally, High Performance Liquid Chromatography -Mass Spectrometry (HPLC-MS) was used to indicate the structure of chemical components, which were responsible for antimicrobial activity.
Keywords
Walnut leaf
High-performance liquid chromatography-mass spectrometry
Potentially Antimicrobial compounds
Independent component regression
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