Microbial Growth in Ground Beef During Different Methods of Thawing Saba Zahid
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Table 1: |
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0 hours |
1 hours |
2 hours |
3 hours |
4 hours |
5 hours |
6 hours |
Freezer (control) |
1,000 |
667 |
333 |
2,000 |
800 |
1,000 |
500 |
Refrigerator |
0 |
200 |
636 |
2,231 |
1,889 |
307 |
3,846 |
Water |
1,383 |
8,571 |
1,545 |
4,848 |
10,270 |
9,949 |
14,963 |
Room Temp |
0 |
5,667 |
4,800 |
6,957 |
3,226 |
10,769 |
8,533 |
Figure 1: Rate of bacterial growth in ground beef during different methods of thawing
Results confirmed the hypothesis that a room temperature water bath used to thaw ground beef caused the greatest amount of microbial growth during the six-hour thawing period. The rate of growth was also greatest in this sample. The sample thawed in the refrigerator had the least amount of microbial growth.
There are no comparative data for this study that examined the rate and amount of microbial growth in ground beef during different methods of thawing. Bacterial numbers and growth rates were compared among the thawing methods (refrigerator, room temperature water bath, and at room temperature) and to the control (freezer). The initial number of bacteria per gram of beef was relatively low; however growth increased with time under all methods of thawing (relative to control). Data indicate that rates of bacterial growth in ground beef increased with both increased thaw temperature and time. Although published studies related to bacterial growth have been conducted under dynamic temperature conditions (Corradini et. al, 2007; Koutsoumanis et. al, 2006), no studies have focused on specific time periods of growth.
Interestingly, two of the four samples of ground beef had greater than zero bacterial cells per gram before thawing. However, a recent study conducted by Bosilevac, Guernini, Kalchayanand, & Kochmaraie (2009) found that commercial ground beef samples can contain strains of Salmonellae, but the prevalence is low. This may account for the initial presence of microbial cells in the ground beef. In this study, the microbes were not identified.
Although the sample thawed in the room temperature water bath had the greatest number of microbial cells per gram of ground beef at the end of the six-hour thawing period, the data set had some outlier points, which affected the overall trend line and misrepresented the rate of microbial growth. Additionally, the data collected from the sample thawed at room temperature contained a significant outlier data points, which also affected its trend line. The rate of growth may actually have been greater than represented by the line, and this would have been represented had the outlier been thrown out. However, it must be noted that at the end of the six-hour thaw method, the number of microbes in the sample thawed in the room temperature water bath was still significantly greater than the number of microbes in the sample thawed at room temperature. The outlier was most likely the result of experimental error. One possible source of error may have been that the scalpel was too hot after being sterilized when it was used to obtain the one-gram of ground beef from the sample. The higher temperature may actually have killed some of the microbes in the ground beef that the sterilized scalpel contacted. This is an error that could have affected all measurements. Furthermore, it should be noted that while it has been stated that moisture influences growth, the humidity of the room and level of moisture in the refrigerator were not measured or necessarily controlled.
Although this study provided information under variable conditions of temperature and time, we conducted only
one trial because of limited time and resources. This is a major limitation of the study. Future studies should
conduct multiple trials to replicate our results and demonstrate reliability of experimental procedures and implementation.
This study was also limited because no literature was found regarding “acceptable” or safe levels
of microbial contamination so it is difficult to put the results into perspective. Beef samples used
in this study had 80/20 composition (20 percent fat). Future research could explore the effect of fat percent
on the microbial growth during different thaw methods. Another area that could be explored is the relationship
between different types of packaging (i.e., plastic tube vs. Styrofoam plate and plastic wrap) and the rate or
amount of microbial growth during thawing. An interesting application of this study may be its pairing with studies
that examine how much of a microbial population is “cooked out” during preparation. The degree of
doneness (i.e., rare, medium, well done) and the number of microbial cells remaining in the ground beef could
be an area of future study. Although this study had its limitations, it provides valuable information about microbial
growth in a “real-life” environment. The results of this study add to the knowledge base of consumer
safety and the literature of consumer food safety practices.
Black, D. G., & Davidson, P. M. (2008). Use of modeling to enhance the microbiological safety of the food system. Comprehensive Reviews in Food Science and Food Safety, 7, 159-167.
Bosilevac, J. M., Guerini, M. N., Kalchayanand, N., & Koohmaraie, M. (Apr 2009). Prevalence and characterization of Salmonallae in commercial ground beef in the United States. Applied and Environmental Microbiology, 75, 1892-2000.
Corradini, M. G., Normand, M. D., Peleg, M., Schaffner, D. W., & Smith-Simpson, S. (2007). Estimating microbial growth parameters from non-isothermal data: A case study with Clostridium perfingens. International Journal of Food Microbiology, 118, 294-303.
Koutsoumanis, K., Nychas, G. J. E., Skandamis, P., & Stamatiou, A. (Jan 2006). Development of a microbial model for the combined effect of temperature and pH on spoilage of ground meat, and validation of the model under dynamic temperature conditions. Applied and Environmental Microbiology, 124-134.
Marks, B. P. (2008). Status of microbial modeling in food process models. Comprehensive Reviews in Food Science and Food Safety, 7, 137 – 143.
Sotos, J. N. (2008). Challenges to meat safety in the 21st century. Meat Science, 78, 3- 13.
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