Lab #1 - Micropipetting

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Last updated 4:59 PM on 9/29/26
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24 Terms

1
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What is accuracy?

How close a measured value is to the correct or expected value

2
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What is precision?

How close repeated measurements are to one another

3
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Measurements are tightly grouped but far from original value?

High precision, low accuracy

4
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What is the range of a P20?

2-20uL (clear tip)

5
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What is the range of a P200?

20-200uL (yellow tip)

6
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What is the range of a P1000?

100-1000uL (blue tip)

7
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What pipette would you use for a 12.4uL?

P20

8
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What pipette would you use for a 150uL?

P200

9
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What pipette would you use for 900uL?

P1000

10
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Basic Micropipetting Procedure

  1. Set volume

  2. Attach appropriate tip

  3. Press to first stop

  4. Immerse tip

  5. Slowly release to aspirate

  6. Transfer

  7. Press through first and second stops

  8. Remove tip

  9. Release plunger


11
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What is the first stop used for?

To aspirate the selected volume during normal forward pipetting

12
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What is the second stop used for?

To blow out any remaining liquid when dispensing

13
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What should you check after aspirating?

Make sure there are no bubbles in the tip

14
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Why to use new pipette tip between different samples?

To prevent cross contamination

15
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Why shouldn’t you use a micropipette outside its volume range?

Can produce inaccurate volumes and affect calibration

16
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Why shouldn’t you lay a filled micropipette horizontally?

Liquid can enter pipette body and damage it.

17
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What wavelength was used to measure yellow #5?

422nm

18
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How was the 10% yellow dye solution prepared?

100uL dye + 900uL water

19
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How was the 5% solution prepared?

50uL dye + 950uL water

20
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How was the 1% solution prepared?

10uL dye + 990uL water

21
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How was the 0.5% solution prepared?

5uL + 995uL water

22
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What happens to Yellow #5 absorbance as concentration increases?

Absorbance increases

23
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If a 10% and 1% Yellow #5 sample are measured, which should have the greater absorbance?

The 10% sample

24
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What does an R² value closer to 1 indicate?

The measured data fit the expected/regression relationship more closely.