BilZ0r
Bluelight Crew
- Joined
- Dec 15, 2003
- Messages
- 6,675
Re: recent discussions on the volume of drips. I conducted an experiment.
Methods: Drips of tap water from a plastic transfer pipette with ends of either 2.5 or 4.5 mm, and drips from and 30 gauge hypodermic needle (0.25mm diameter) were caught on a ±5µg balance. Drips were weighed and assuming 1g = 1mL, were converted to volume. The pipettes had approximately round holes in the end, but the needle was tapered.
Results: Drips from a 4.5mm pipette had a mean volume of 55.93 ± 6.7µL (n = 9) (Std Dev). Drips from the 2.5mm pipette had a mean volume of 29.11 ± 4.9µL (n = 9). Finally, drips from the 0.25 diameter needle had a mean volume of 3.45 ± 0.74µL (n = 9). Linear regression (Fig 1) showed a clear linear relationship between drip volume and dripper end diameter, which was best fit by the formula:
The y-intercept constant of -0.3 had a 95% confidence interval of -3.564 to 2.964, so it is essentially zero. The slope constant of 12.33 had a 95% confidence interval of 11.23 to 13.43.
Conclusion: If one measures the diameter of the a dripper, at least between 0.25 and 4.5mm, one can assume the volume (in µL) of the drips it will generate will be approximately 12 times the dripper diameter.
The error increases at smaller volumes/dripper diameters. In my sample of 9 drops, all drops were within 33% of the mean from the 4.5mm pipette, while from the 2.5mm needle, all drops were within 52% of the mean . Likewise, given the calculated standard errors, 95% of the drops from the 4.5mm pipette fell within 24% of the mean, while 95% of drops from a 0.25mm needle fell within 42% of the mean.
Methods: Drips of tap water from a plastic transfer pipette with ends of either 2.5 or 4.5 mm, and drips from and 30 gauge hypodermic needle (0.25mm diameter) were caught on a ±5µg balance. Drips were weighed and assuming 1g = 1mL, were converted to volume. The pipettes had approximately round holes in the end, but the needle was tapered.
Results: Drips from a 4.5mm pipette had a mean volume of 55.93 ± 6.7µL (n = 9) (Std Dev). Drips from the 2.5mm pipette had a mean volume of 29.11 ± 4.9µL (n = 9). Finally, drips from the 0.25 diameter needle had a mean volume of 3.45 ± 0.74µL (n = 9). Linear regression (Fig 1) showed a clear linear relationship between drip volume and dripper end diameter, which was best fit by the formula:
Drip Volume = 12.33 x Dripper Diameter - 0.3
The y-intercept constant of -0.3 had a 95% confidence interval of -3.564 to 2.964, so it is essentially zero. The slope constant of 12.33 had a 95% confidence interval of 11.23 to 13.43.
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Fig 1. The relationship between drip volume and dripper diameter
Conclusion: If one measures the diameter of the a dripper, at least between 0.25 and 4.5mm, one can assume the volume (in µL) of the drips it will generate will be approximately 12 times the dripper diameter.
The error increases at smaller volumes/dripper diameters. In my sample of 9 drops, all drops were within 33% of the mean from the 4.5mm pipette, while from the 2.5mm needle, all drops were within 52% of the mean . Likewise, given the calculated standard errors, 95% of the drops from the 4.5mm pipette fell within 24% of the mean, while 95% of drops from a 0.25mm needle fell within 42% of the mean.