## Sensorgram quiz

Please read the tutorial before making the quiz. All the answers are 'hidden' in the text.
After submitting the quiz you will see your results and a comparison with the other results. The quiz has 30 questions and will take 5 - 10 minutes to complete. Read the questions carefully.

You can make the quiz as often as you like.

Success!

Which sensorgram has exponential interaction curves?

Which curve is an exponential interaction curve with mass-transfer?

Which sensorgram **does not** have exponential interaction curves?

What is wrong with this sensorgram?

What is wrong with this sensorgram?

What is wrong with this sensorgram?

What should be solved first before fitting?

Which sensorgram can you use for equilibrium analysis?

What shoud be optimized before fitting?

Which curve has the fastest dissociation rate constant?

Which curve has the fastest **association** rate constant?

Hint: What determines the association rate.

Which curve has the fastest association rate constant?

Which curve has the highest equilibrium constant?

Which fitting result should you report?

Which parameters should be globally fitted?

*k*_{a}, *k*_{d}, *K*_{D}, Rmax

*k*_{a}, *k*_{d}, Rmax

*k*_{a}, *k*_{d}, Rmax, RI

^{2}

What can you do when you have this sensorgram?

What can you do when you have this sensorgram?

What can you do to optimize this interaction?

1: | lower ligand concentration |

2: | match buffers better |

3: | equilibrate better |

4: | use higher flow rate |

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)?

Which curve is saturating the ligand?

Which curve has an analyte concentration comparable to the *K*_{D}?

When you have this fit as a result. What can you do?

Hint: go for the best result.

1: | lower ligand concentration |

2: | match buffers better |

3: | check the ligand for purity |

4: | use higher flow rate |

Are the values given in the inset plausible with this sensorgram?

Hint: look at the curve spacing.

What do you want to change if you see this fitting?

To calculate (fit) meaningful results you need curves

What can you tell about the Rmax?

*k*_{a} and *k*_{d} of an interaction

What can you say about this sensorgram?

The minimal requirements in a publication are: