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    Study of Antimicrobial Properties For Propolis

    , M.Sc. Thesis Sharif University of Technology Gholizade, Tahere (Author) ; Roostaazad, Reza (Supervisor) ; Bayat, Farhad (Co-Advisor)
    Abstract
    Propolis is a resin compound which is collected from different Plant sources by bees. It is processed by salivary enzymes and is combined with wax bee and is used in hives, Specially in entrance door. In this study Propolis is selected as a natural substance. The aim of this study is to change the substance to get use of in industry. For this, first, antimicrobial properties of it was proved and then for industrial use encapsulation was done to keep the capability of it. Since propolis extract was prepared with 70% ethanol, and the encapsulation was done with the polymer-effective material ratio of 5,0,1,2 by a proper polymer with no bad effect on the body. Later an appropriate powder was... 

    Development of Deep Learning Methods to Enhance the Performance of Supervised Pattern Recognition in Gas Chromatography-Ion Mobility Spectrometry Data for Untargeted Metabolomics Analysis of Food

    , M.Sc. Thesis Sharif University of Technology Naderi Tehrani, Nima (Author) ; Parastar Shahri, Hadi (Supervisor) ; Garmroodi Asil, Ali (Co-Supervisor)
    Abstract
    In recent years, volatilomics has gained significant prominence as a novel approach for analyzing Volatile Organic Compounds using Gas Chromatography-Ion Mobility Spectrometry for food quality control and authentication. While this technique offers high sensitivity and rapid analysis, it produces complex, second-order data characterized by severe peak overlap and non-linear temporal shifts. These characteristics limit the efficiency of conventional chemometric methods, which rely on precise alignment and manual feature extraction, often leading to the loss of valuable spatial information and increased computational load. The primary objective of this research is to overcome these limitations...