The Antimicrobial Activity of Spent Coffee Ground Extract against Escherichia Coli, Staphylococcus Aureus and Bacillus Subtilis /

The Antimicrobial Activity of Spent Coffee Ground Extract against Escherichia Coli, Staphylococcus Aureus and Bacillus Subtilis / Clarisse Joy Baltazar Abbugao ; Lalaine Gatuz Bernardino ; Kline Prescotte Lawas Castillano ; Katrina Rica Andrea Francisco De Guzman ; Kristine Jesica Maligaso Ladiero ; Orven Paolo Beco Lopez ; Krizalle Villegas Maribbay and Jaedee Eusebio Zulueta. - Fairview, Quezon City School of Medical Technology, FEU-NRMF March 2016 - 68 pages: illustrations, tables, photos; 28 cm.

Includes appendices and bibliographical references.

Abstract: This study aims to prove that people who have been using coffee bean which is estimated 600 million kilograms per year can still be reuse by having antimicrobial effect against gram positive, gram negative and spore-forming bacteria. The researchers conducted this study in order to further expound on this idea which simultaneously provides fresh perspective in recycling by utilizing spent coffee grounds. The researches approached the study by implementing an experimental method of research in order to evaluate the antimicrobial properties of the spent coffee grounds. It was achieved by Obtaining 130.0g of dried spent coffee grounds collected from three coffee shops and having the samples brought to the Department of Science and Technology (DOST) for crude extraction. An antimicrobial assay was conducted at the National Science Research Institute at the University of the Philippines, which include crude extract testing the sample against Escherichia coli, Staphylococcus aureus and Bacillus subtilis. The result of first and second antimicrobial assays for Escherichia coli measured 13 mm. while the third measured 14 mm. The calculated AI is 0.3. Staphylococcus aureus in the first and second antimicrobial assays measured 18 mm while the third measured 19 mm. The calculated AI is 0.8. Bacillus subtilis measured 17 mm, 18 mm and 19 mm, consecutively. The calculated AI is 0.8.

Thesis - School of Medical Technology

MT 2016 0008