วีดีโอ

I am glad you find it helpful, good luck with your exam :)

Hi, to find your unknown concentration you need to dilute your protein standard with your lysis buffer/diluent and measure their absorbance values and draw your graph based on your absorbance vs your known protein concentration, obtain the line equation from that and then you can measure your unknown protein absorbance and use that value to put into your line equation. These values in the video are just for illustration purposes.

if you use different decimal places/or if you round the values for the manual calculation below, it can give slight differences. If you want to be more exact you can use the 1st method shown. Thanks

When you are presenting the graph, I would suggest to keep them on to show your upper and lower limit of agreement. The middle line will only show you your mean of differences. But you can change the width, type, size etc of your lines as you wanted for better appearance :)

The primers are fully integrated into the new strand, so the 3' end is consistent across all copies. This uses up primers, but you've already put in a lot more primers than will get used up just so they can find the needle (the matching complement) in the haystack of DNA during the early cycles, so it's not really an issue.

Can you please explain how to interpret BA plot???

@@Swapnildoc The idea is to investigate the agreement between two quantitative measurements. And to do this you construct limits of agreement which are calculated by using the mean and the standard deviation. The resulting graph illustrate the difference between the two measurements plotted against the mean of the two measurements. Let’s say you are comparing an agreement between measured and target value. An ideal model would claim that the measured and target value gave exactly the same result. So, in that case the differences would be equal to zero. But in almost any measurement of variables results in some degree of error. The closer the mean difference (bias) to zero, the better the agreement between two measurements. Another thing to consider is the limits of agreement which estimate the interval that a portion of differences between the two measurements should lie within. In other words, 95% of the differences between the two measures is expected to be within the values described by the 95% limits of agreement. The wider limits of agreement suggest less precision and less agreement between the two measurements.