User:Matt Hartings/Notebook/AU Biomaterials Design Lab/2013/09/10: Difference between revisions
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==Objective== | ==Objective== | ||
The primary way of determining protein concentration is through a measurement of the protein's UV-Vis spectrum and using its molar absorptivity at 280nm to calculate concentration. For low concentrations of proteins, UV-Vis of just the protein is often not sensitive enough to accurately measure concentration. During the semester, we may need to measure protein concentrations that are very low. One chemical tool that we can use to do this is called the [http://www.sciencedirect.com/science/article/pii/0003269776905273# Bradford Assay]. The Bradford Assay makes use of the [http://en.wikipedia.org/wiki/Coomassie_Brilliant_Blue Coomassie Blue] dye, which binds to proteins. Upon binding to a protein, this dye undergoes a change in its [http://www.piercenet.com/media/Coomassie-Spectra_350.gif absorption features]. (No protein: peak at 460. Protein: peak at around 600). We will be making calibration curves (using the Bradford Assay) for the different proteins we'll be using throughout the semester. | |||
==Description== | ==Description== | ||
Revision as of 06:50, 6 September 2013
 Biomaterials Design Lab
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ObjectiveThe primary way of determining protein concentration is through a measurement of the protein's UV-Vis spectrum and using its molar absorptivity at 280nm to calculate concentration. For low concentrations of proteins, UV-Vis of just the protein is often not sensitive enough to accurately measure concentration. During the semester, we may need to measure protein concentrations that are very low. One chemical tool that we can use to do this is called the Bradford Assay. The Bradford Assay makes use of the Coomassie Blue dye, which binds to proteins. Upon binding to a protein, this dye undergoes a change in its absorption features. (No protein: peak at 460. Protein: peak at around 600). We will be making calibration curves (using the Bradford Assay) for the different proteins we'll be using throughout the semester. Description
Data
NotesThis area is for any observations or conclusions that you would like to note.
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