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RESEARCH OUTPUT 10, 11: ACTUAL DATA ANALYSIS and DATA PRESENTATION
Adviser: Dr. I.A. Ilano
Submitted by: GROUP 9-A
Leader:
Holgado, Anna Victoria
Members:
Alcantara, Jan Christopher
Balandan, Patricia
Buenafe, Jonas Joaquin
Constantino, Erwin
Delos Santos, Kathrine Aira
Flores, Marie Felle
Hernandez, Kristeen Khae
Lopez, Edison
Date:
February 15, 2012
Topic: "A comparative study on the antibacterial activity of the peel extracts obtained from
Musa acuminata, Musa balbisiana, and Musa paradisiaca against Staphylococcus aureus”
I. INTRODUCTION
A. Research question
“Which species of banana peel extract has greater antibacterial activity against
Staphylococcus aureus?”
B. Research hypotheses
i. Working hypothesis
“The peel extracts obtained from the different species of banana have comparable
antibacterial activity against Staphylococcus aureus.”
ii. Null hypothesis
“The peel extracts obtained from the different species of banana do not have
antibacterial activity against Staphylococcus aureus.”
II. RESEARCH OBJECTIVES and RESEARCH DESIGN
A. General objective
To determine which species of banana peel extract has greater antibacterial activity
against Staphylococcus aureus.
B. Specific objectives
1. To measure the zones of inhibition of peel extracts obtained from Musa acuminata,
Musa balbisiana, and Musa paradisiaca using the disk diffusion method.
2. To establish the respective minimal inhibitory concentrations of peel extracts
obtained from Musa acuminata, Musa balbisiana, and Musa paradisiaca using broth
dilution test.
3. To establish the respective minimal bacteriocidal concentrations of peel extracts
obtained from Musa acuminata, Musa balbisiana, and Musa paradisiaca using broth
dilution test.
4. To compare the obtained zones of inhibition, minimal inhibitory concentrations, and
minimal bacteriocidal concentrations of the peel extracts against Staphylococcus
aureus.
C. Research design
The study will utilize an analytic experimental design, wherein the independent
variable under observation will be assigned particularly to a treatment group and will be
compared to a positive and negative control group. Figure 1 illustrates the design of the
study.
Figure 1: Schematic diagram of research design
Operational definition of variables
1. Independent variable
The antibacterial activity of the different species of banana peel extracts on the
growth of Staphylococcus aureus serves as the independent variable for the study.
“Antibacterial activity” refers to the capacity of an agent to kill or suppress the growth of
microorganisms, specifically bacteria.(1) This property may be further classified into two
mechanisms, bacteriostatic and bacteriocidal. Bacteriostatic activity results into the
inhibition of microbial growth within a certain period of time. Microbial growth may be
observed once environmental elements become suitable, or the microorganism has
gained resistance to counteract the stimulus presented by the agent.(1) On the other hand,
bacteriocidal activity results into the complete eradication of the species. In the study,
significant bacteriostatic activity of the different species of bananas will be observed
through disk diffusion method and broth dilution test.
Musa acuminata (locally known as lakatan), Musa balbisiana (saba), and Musa
paradisiaca (latundan) are considered as the most common group of species grown and
commonly sold in the province of Cavite. Because of their wide availability and easy
accessibility, these species will be chosen as samples for the study.
2. Dependent variable
The expected result from the study will be the inhibition of the growth of
Staphylococcus aureus on nutrient agar medium. Inhibition denotes a temporary cessation
in microbial growth processes. This implies that there are still possible chances for growth,
given that the environment becomes favorable once again for microorganism propagation.(18) Therefore, strict compliance with the incubation of disk diffusion plates within the
allotted time of 24 hours for the Staphylococci species should be observed so as to
achieve reliable results and prevent possible growth of the organism.(2)
Inhibition of growth will be determined qualitatively using the disk diffusion method,
as represented by zones of inhibition. Broth dilution test will also be employed to quantify
the degree of the antibacterial activity by determining the peel extract’s minimal inhibitory
concentration. The end point tube in the series of test tubes illustrates the absence of
microbial growth achieved with the least concentration of the peel extract. (1)(2) Aliquots
from the tube with the least amount of drug that showed no growth and the two tubes that
immediately precede it will be collected and inoculated in a nutrient agar medium using the
streak plating technique in determining the peel extracts’ respective minimal bacteriocidal
concetrations.
3. Confounding variables
Both the independent and dependent variables may face possible contamination
brought about by 1) their exposure to environmental factors, such as temperature and
foreign body contamination; 2) as well as their subjection to certain preparation and
storage techniques executed in the duration of the study. Contamination of the variables of
interest may significantly influence the accuracy and analysis of the results. (1)(2)(3)
III. RESULTS AND ANALYSIS
A. Format for data analysis
i. Descriptive statistics – The mean diameter obtained among the three
replicates will be calculated in measuring the central tendency of the zone of
inhibition produced by the peel extract. Measures of central tendency are
inappropriate for the values obtained in conducting MIC and MBC since these
tests are performed only once. Furthermore, the standard deviation will be
computed from the value gathered from the zone of inhibition. The final data will
then be reported as mean + standard deviation.
ii. Inferential statistics - One-way analysis of variance (ANOVA) will be used as
the test statistic since the study is dealing with more than two independent study
groups. This is based on the premise that each peel extract group’s effect will be
unique from the other as well as from the established control groups. One-way
ANOVA is helpful in determining the probability of observing a difference existing
among the means of several study groups at the same time, minimizes the
possibility of committing a type I error which may result from conducting multiple
t-tests.(4) The confidence interval for this study will be set at 95%, with the value
for α at 0.05. These values have been derived from previous studies on the
antibacterial activity of plant extracts.(5)
Table 1 shows the plan for data analysis that will be utilized in the study. The
objective is to compare the results of more than two independent groups. The mean
diameter of the zones of inhibition obtained from each species of banana peel that will be
compared is categorized under the ratio scale of measurement; therefore, the tool for data
analysis that will be used will be a type of parametric test, namely, one-way ANOVA.
Table 1. Plan for data analysis
Plan for Data Analysis
Variables Scale of measurement Descriptive? Inferential?
Independent variable - The antibacterial activity of the different species of banana peel extracts on the growth of Staphylococcus aureus
Ratio
Dependent variable - the inhibition of the growth of Staphylococcus aureus as measured by the zone of inhibition produced
Ratio
Variables are independently related to each other
ANOVA
B. Results
i. Descriptive statistics
The antibacterial activity of the peel extracts obtained from Musa acuminata, Musa
balbisiana, and Musa paradisiaca were initially determined using the disk diffusion
method. Each species were prepared in three concentrations (30 µg, 300 µg, and 3,000
µg) and were observed for their respective antibacterial activity as evidenced by the zones
of inhibition produced. However, paper disk diffusion results revealed absence of inhibition
in all species. Difficulty in replicating the methods from previous studies, wherein zones of
inhibition were seen, brought about the need to conduct trials in determining the
antibacterial activity of the peel extract. In each trial, the extract concentration used was
set at 3,000 µg. Several variables such as blending time, characteristics of the banana
peel (e.g. color and storage duration), and the extract storage temperature were
considered. Values for mean + standard deviation are then considered to be set at zero,
since the values gathered per trial are null.(6) Table 2 shows the measurements of the
zones of inhibition among the different banana species.
Table 2. Zone of inhibition (mm) of peel extracts of different banana species using
paper disk diffusion in different trials
TRIAL 1 TRIAL 2 TRIAL 3 TRIAL 4 TRIAL 5 TRIAL 6
Musa sapientum
0 0 0 0 0 0
Musa paradisiaca
0 0 0 0 0 0
Musa acuminata
0 0 0 0 0 0
ii. Inferential statistics
Since the values obtained were set at zero, replacing these on the F-ratio (i.e. statistic
used in utilizing ANOVA) would reveal that the p-value would progress towards a positive
infinity, implying that the value of statistical significance is within the non-rejection area of
the normal distribution curve.(7) A conclusion can then be made that there are no sufficient
evidences to reject that the peel extracts obtained from the different species of banana do
not have comparable antibacterial activity against Staphylococcus aureus, in favor of the
alternative hypothesis.
REFERENCES:
(1) Mahon, C.R., Lehman, D.C., and Manuselis, G. (2007). Textbook of Diagnostic Microbiology. Missouri: Saunders.
(2) Forbes, B.A., Sahm, D.F., and Weissfeld, A.S. (2007) Bailey and Scott’s Diagnostic Microbiology. Missouri: Elsevier.
(3) Department of Microbiology and Parasitology, DLS-HIS College of Medicine (2011). “Laboratory Manual on Microbiology and Parasitology”.
(4) “Analysis of Variance”. Retrieved from http://www.wikipedia.com(5) Mokbel, M.S. and Hashinaga, F. (2005). Antibacterial and antioxidant activities of banana (Musa AAA., cv.
Cavendish) fruits peel. American Journal of Biochemistry and Biotechnology, 3, 125-131.(6) MacMillan A., et al. (2007) “Basic statistics: mean, median, average, standard deviation, z-scores, and p-
value”. Retrieved from https://controls.engin.umich.edu(7) “What is the meaning of an F value less than 1 in one-way ANOVA?” Retrieved from
http://stats.statexchange.com