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Information Seminar Paper

Title

STATISTICAL STUDY ON ANTIFUNGAL AND ANTIBACTERIAL EFFECTS OF SILVER NANOPARTICLES (AGNPS) USING CENTRAL COMPOSITE DESIGN AND MULTIPLE LINEAR REGRESSION(MLR)

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Abstract

 THIS RESEARCH IS CONCERNED WITH THE FUNGICIDAL AND ANTIBACTERIAL PROPERTIES OF NANO-SIZE SILVER COLLOIDAL SOLUTION USED AS AN AGENT FOR ANTIFUNGAL AND ANTIBACTERIAL TREATMENT OF VARIOUS PLANT PATHOGENS. WE CALCULATED FUNGAL INHIBITION AND ANTIBACTERIAL EFFECT IN ORDER TO EVALUATE THE ANTIFUNGAL AND UNTIBACTERIAL EFFICACY AGAINST PATHOGENS AND BOTH GRAMNEGATIVE AND GRAM-POSITIVE BACTERIA RESPECTIVELY. THE RESULTS INDICATED THAT AGNPS POSSESS ANTIFUNGAL AND ANTIBACTERIAL PROPERTIES AGAINST THESE PLANT PATHOGENS AT VARIOUS LEVELS. IN ADDITION TO SIZE AND CONCENTRATION OF THE NANOPARTICLES, THE SHAPE OF THE SILVER NANOPARTICLES HAS SIGNIFICANT EFFECT ON THE ANTIBACTERIAL OR UNTIFUNGAL EFFICACY. THE SYNTHESIS WAS PERFORMED AT VARIOUS CONDITIONS. THE AVERAGE SIZE, SIZE DISTRIBUTION, MORPHOLOGY, AND STRUCTURE OF PARTICLES WERE DETERMINED BY DYNAMIC LIGHT SCATTERING (DLS), TRANSMISSION ELECTRON MICROSCOPY (TEM), AND UV/VIS SPECTROPHOTOMETRY.BASED ON THE OBTAINED RESULTS, FROM DIFFERENT ANTIFUNGAL AND ANTIBACTERIAL EFFECT OF THESE SYNTHESIZED NANOPARTICLES, THE PARAMETERS THAT AFFECT THE EFFICIENCY AND SIZE OF NANOPARTICLES AND RESPONSE OF ANTIFUNGAL AND ANTIBACTERIAL ANALYSIS WERE COLLECTED AS A DATA’S FOR MODELING.AFTER COLLECTING PARAMETERS IN MATRICES, MULTIPLE LINEAR REGRESSION (MLR) WAS USED FOR PREDICTION OF A WELL DEFINED MODEL. AT LAST MODELS ARE SELECTED WITH BACKWARD ELIMINATION FOR FORMULATION OF ANTIFUNGAL AND ANTIBACTERIAL EFFECTS OF SILVER NANOPARTICLES THAT SYNTHESIZED WITH MODIFIED TOLLEN’S METHOD AS A SIMPLE AND LOW COST AND “GREEN” SYNTHESIS.

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