41 Sample Preparation & Processing
Given most standard pipette tips for 10-1,000µl dispensing have less than a 2mm outer diameter at this point, it is self-evident that even with the tapered design of the new 1.6ml Tri-Coded Maximum Recovery Tube there will be no issues with automated liquid handling at 4mm above the bottom of the inner tube. There are clear benefi ts to the Maximum Recovery design. If the expected residual volume of the 1.6ml Tri Coded Tube is 50µl and the 1.9ml Tri Coded Tube is 210µl at the same Z-axis position in the liquid handler, one can compare the total amount of unrecoverable sample over a set number of storage tubes used.
Figure 2: Design comparison - 1.6ml Maximum Recovery Tube vs. 1.9ml standard Tri Coded Tube.
Figure 3 shows the calculated amount of sample loss for the 1.9ml tubes over one hundred runs is equivalent to 21,000µl (21ml) compared to 5,000µl (5ml) with the 1.6ml tubes, resulting in a saving of 16ml over the same number of tubes. With expensive reagents, this can quickly accumulate into substantial savings.
We may conclude that it is imperative that lab managers considering a switch to automated liquid handling workfl ows should study the common variables and how to accurately measure the exact residual volume in their sample storage tubes using an automated liquid handler in advance, using their own experimentation and data from the robot and tube manufacturers.
Figure 3: Volume (µl) of Sample Lost per tube over one hundred cycles.
Producers are now starting to take into consideration design aspects that allow users to benefi t from reduced waste, not only to maximise the recovery of precious samples, but to save on reagent purchasing costs with a mind towards sustainable practices along the entire supply chain.
While the 1.6ml Maximum Recovery Tube from Azenta Life Sciences is the fi rst uniquely designed sample storage tube designed specifi cally for automated liquid handling, it is predicted that this will become one of a family of tubes manufactured to reduce dead volume and improve sample utilisation.
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