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The Effects of Lysol on Living Bacteria. Ashley Pruitt Undergraduate Student Health Science Biology concentration Department of Biology Tennessee Technological University Cookeville, TN 38505. Project Summary. Problem: Does Lysol actually live up to its claim, “Kills 99.9% of bacteria,”?
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The Effects of Lysol on Living Bacteria Ashley Pruitt Undergraduate Student Health Science Biology concentration Department of Biology Tennessee Technological University Cookeville, TN 38505
Project Summary • Problem: Does Lysol actually live up to its claim, “Kills 99.9% of bacteria,”? • Objective: test effects of Lysol on bacteria. • Hypothesis: fewer bacteria on the Lysol-treated objects. • Null: no difference on the amount of bacteria before and after being treated with Lysol.
Project Summary (cont’d.) • Goal: Prove Lysol is effective. • Plans to accomplish: test items before and after being treated with Lysol. • Expected Results: 1. Validate Lysol’s claim. 2. Reject Null Hypothesis.
Introduction • Will there actually be no bacteria on an item after being treated with Lysol? • Lysol claims to kill 99.9% of all bacteria (Lysol.com). • Benzalkonium chloride (BAK) – biocide, the active ingredient in Lysol. • Staphylococcus aureus has been proven to have affinity for BAK (Ahmed et al 2007). • The responses of different types of microorganisms to antiseptics and disinfectants vary and result in microbiostatic or microbicidal effects (Alp 2007).
Objective/Hypothesis (null) • Objective: test effects of Lysol on bacteria. • Hypothesis: fewer bacteria on the Lysol-treated objects. • Null: no difference in the amount of bacteria before and after being treated with Lysol.
Methods and Materials Methods: • Collect samples with sterile cotton swabs • Recollect samples-3 total for each • Spray item with Lysol • Transfer samples to TSA plates • Incubate Plates for 48 hours • Count bacteria and compare effects of Lysol
Methods and Materials (cont’d.) Materials: • TSA plates • Sterile cotton swabs • Can of Lysol • Items to test - reference • Incubator
Methods and Materials (cont’d.) • Method of Data Processing - statistics: 1) Average (mean-value) Tests 2) T-tests - assesses whether the means of two groups are statistically different from each other. • Data Form. • Matrix.
Expected Results and Benefits • Fewer bacteria present on Lysol-treated items. • Validate Lysol’s claim, “Kills 99.9% of all bacteria.” • Reassure consumers of Lysol’s effectiveness. • Reject null hypothesis and accept original hypothesis.
Project Timeline See Project time-line, click here: Time-line
Budget See Project Budget, click here: Budget.