Table 2. Volume of BSA, protein content, and absorbance readings of reference solutions Solution Volume of BSA standard solution (μL) Protein content(μg/mL) Absorbance value At 595 nm 1 0 0 0 2 10 1 0.022 3 30 3 0.065 4 50 5 0.106 5 70 7 0.178 6 100 10 0.299 7 120 12 0.380 Make a graph by plotting the absorbance values versus the BSA protein content (in μg) for the seven reference solutions. When constructing the graph, be sure to include a title, and label each axis, including units. The concentration is the independent variable (x-axis) and the absorbance is the dependent variable (y-axis). The data should produce a reasonably straight line. Use the linear regression function on your calculator to obtain a best fit line, or alternatively use a ruler to draw a best fit line manually. Obtain or calculate the slope m of the best fit line, and record its value in Table 4.
Table 2. Volume of BSA, protein content, and absorbance readings of reference solutions
Solution |
Volume of BSA standard solution (μL) |
Protein content(μg/mL) |
Absorbance value At 595 nm |
1 |
0 |
0 |
0 |
2 |
10 |
1 |
0.022 |
3 |
30 |
3 |
0.065 |
4 |
50 |
5 |
0.106 |
5 |
70 |
7 |
0.178 |
6 |
100 |
10 |
0.299 |
7 |
120 |
12 |
0.380 |
Make a graph by plotting the absorbance values versus the BSA protein content (in μg) for the
seven reference solutions. When constructing the graph, be sure to include a title, and label each
axis, including units. The concentration is the independent variable (x-axis) and the absorbance is
the dependent variable (y-axis). The data should produce a reasonably straight line. Use the linear
regression function on your calculator to obtain a best fit line, or alternatively use a ruler to draw a
best fit line manually. Obtain or calculate the slope m of the best fit line, and record its value in
Table 4.
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