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Which sensorgram has exponential interaction curves?
A B C D
Which curve is an exponential interaction curve with mass-transfer?
Which sensorgram does not have exponential interaction curves?
What is wrong with this sensorgram?
A: the axis legends are missing B: there are no replicates C: the bulk effect is too big D: not all curves go to steady state
A: the axis legends are missing B: there are no replicates C: the concentration range is too narrow D: not all curves go to steady state
What should be solved first before fitting?
A: association time should be longer B: these are not exponentials: perform a better experiment C: dissociation time should be longer D: match flow and analyte buffer
Which sensorgram can you use for equilibrium analysis?
What shoud be optimized before fitting?
A: association time longer B: longer dissociation time C: user higher analyte concentrations D: use lower analyte concentrations
Which curve has the fastest dissociation rate constant?
A: curve A B: curve B C: you should know the analyte concentration D: you should know the Rmax of the system
Which curve has the fastest association rate constant? Hint: What determines the association rate.
Which curve has the fastest association rate constant?
A: curve A B: they are all the same C: curve D D: C is higher than D
Which curve has the highest equilibrium constant?
Which fitting result should you report?
What is bad in this sensorgram presentation?
A: injection time too long B: concentration range not balanced C: response too high D: not all curves reach steady state
What can you do when you have this sensorgram?
A: check analyte for purity B: reverse the ligand and analyte C: A + B D: inject analyte for a longer time E: make the flow faster F: there is nothing wrong with the curves
A: check the analyte for purity B: reverse the analyte and ligand C: try another immobilisation technique D: A + B + C E: there is nothing wrong with the curves this will never work
What can you do to optimize this interaction?
A: lower ligand concentration B: match buffers better C: equilibrate better D: use higher flow rate E: A + B + C F: B + C + D
How much ligand should you immobilize for analyte concentration measurements?
How much ligand should you immobilize for kinetic analysis?
Which curve is in equilibrium (steady state)?
A: curve A B: curve B C: curve C D: curve D E: all four curves
Which curve is saturating the ligand?
Which curve has an analyte concentration comparable to the KD?
When you have this fit as a result. What can you do? Hint: go for the best result.
A: lower ligand concentration B: match buffers better C: check the ligand for purity D: use higher flow rate E: A + C F: A + D G: B + D
Are the values given in the inset plausible with this sensorgram? Hint: look at the curve spacing.
A: yes B: no, dissociation looks faster C: no, dissociations looks slower D: no, Rmax is too high
What do you want to change if you see this fitting?
A: nothing, this looks fine B: make association time longer C: make dissociation time longer D: lower ligand concentration E: use higher analyte concentration
27. To calculate (fit) meaningful results you need curves
A: which go to Rmax B: which go to steady state C: which have curvature D: with a low response
28. What can you tell about the Rmax?
A: it is dependent on the ka and kd of an interaction B: it is dependent on the surface capacity and the molecular weight of ligand and analyte C: it is dependent on the analyte concentration D: it is dependent on the equilibrium constant KD E: B + C
What can you say about this sensorgram?
A: the analyte concentration range is not wide enough B: the response is not following exponential kinetics C: there is mass transport limitation D: this looks a fine sensorgram
30. The minimal requirements in a publication are:
A: sensorgram + fit overlay + kinetic values
B: sensorgrams (replicates) + fit overlay + kinetic values
C: table with kinetic values and representative sensorgram
D: full method used in the experiments + B
How many eyes does a typical person have (e.g: 4)?