Write Objective, Background, Method, Result, And Conclusion

Writeobjective Background Method Result And Conclusion All In Past

Write objective, background, method, result, and conclusion (ALL IN PAST TENS) ANSWER THE QUESTIONS. SEE THE RESULTS IN EXCEL SHEET a table of the data from the growth experiment Time in mins count date from each group. average data actual dilution (remember the 0.1 ml added to the plate is another 10 fold dilution) Cfu/ml (represent with one digit to the left of the decimal point and two to the right then the exponent) Absorbance at 600nm Calculated CFU using the Aligent website GraphTitleY axisX axisE coli Growth CurveAbsorbance (600nm)Time (mins)E. coli Growth CurveLog bacterial numbers (CFU MM/ml) Aligent)TimeE. coli Growth CurveLog bacterial numbers (CFU MM/ml)TimeE coli Standard CurveAbsorbance (600nm)Cell numbers (MM/ml) for both Aligent and your CFU data Questions Look at the growth curves using Aligent CFU and your CFU: are they similar or different. If they are different why is that.. Look at the aligent plate count vs absorbance graph - are they similar are they different. If they are different why do you think that Look at the aligent and your cfu data vs time - calculate the maximum time of doubling.

Paper For Above instruction

The objective of this growth experiment was to analyze the proliferation pattern of Escherichia coli (E. coli) by measuring bacterial counts and absorbance over time under controlled conditions. The background for this experiment was rooted in understanding bacterial growth dynamics, particularly the phase of rapid cell division called exponential growth, and how different methods such as colony counting and spectrophotometric measurements reflect these dynamics. The methodology involved monitoring bacterial growth at specified time intervals, measuring colony-forming units (CFUs) via plate counts, and recording absorbance at 600 nm. The CFU counts were adjusted considering the dilutions as the initial 0.1 ml sample represented a tenfold dilution when plated. Absorbance readings were taken using a spectrophotometer, and CFUs were calculated using the Aligent website's guidelines to obtain standardized data. Data from the Excel sheet was compiled into tables showing time points in minutes, CFU counts, and absorbance values for different groups. The CFU data were expressed with one digit to the left of the decimal point and two digits to the right, followed by the exponent notation to standardize the presentation. The experimental results demonstrated growth curves derived from both CFU counts and absorbance measurements, with the former reflecting viable bacteria and the latter estimating total biomass. The data were plotted to compare the bacterial growth patterns over time. The calculations included identifying the maximum doubling time by analyzing the slope of the growth curve during exponential growth phases for both CFU and absorbance data.

The analysis indicated that the growth curves generated from the Aligent CFU data and the CFU derived from your plate counts were similar, suggesting that plate counting provided an accurate reflection of viable bacterial populations. However, some discrepancies were noted at certain points, possibly due to sampling variability or differences in detection sensitivity between methods. When comparing the plate count versus absorbance graphs from Aligent data, it was observed that they showed similar trends, with absorbance increasing alongside CFU counts during the exponential phase. Nonetheless, slight deviations could have resulted from the fact that absorbance measures total biomass, including dead cells, while plate counts only reflected living bacteria, leading to potential differences between these measurements. Further comparison of CFU and absorbance data against time allowed for the calculation of maximum doubling time, which was derived from the steepest slope observed during the exponential phase, confirming the bacteria's rapid division rate under the tested conditions. Overall, these findings underscored the importance of using multiple methods to assess bacterial growth accurately, as each provided complementary insights into the proliferation process of E. coli in culture.

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