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An Automated Tube Labeler for High-Throughput Purification Laboratories.

Jeffrey Y Pan1, David Chang-Yen1, David P Blanchard1

  • 1Integrated Science and Technology (iSAT) Discovery, Specialized Research in Chaotic Systems (SPaRCS), AbbVie, North Chicago, IL, USA.

SLAS Technology
|June 9, 2020
PubMed
Summary
This summary is machine-generated.

Automated tube labeling systems streamline high-throughput purification by accurately identifying compound fractions. This innovation reduces manual labor and errors in chromatography workflows.

Keywords:
HPLCautomationfractionstest tube labeler

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Area of Science:

  • Analytical Chemistry
  • Laboratory Automation
  • Process Optimization

Background:

  • High-throughput purification labs generate numerous samples requiring precise tracking.
  • Manual labeling of test tubes is labor-intensive and prone to errors.
  • Variability in test tube and tray sizes complicates manual labeling processes.

Purpose of the Study:

  • To develop an automated tube labeling system for chromatography fractions.
  • To accommodate diverse test tube and tray configurations from various vendors.
  • To reduce manual labor and minimize labeling errors in purification workflows.

Main Methods:

  • Custom hardware and software integrated with a Tecan EVO robotic system.
  • A Pick-n-Place arm was utilized to handle test tubes.
  • A custom label application station with a Zebra label printer was implemented.
  • Specific challenges in positioning Agilent G1364-84544 trays were addressed.

Main Results:

  • Successful implementation of an automated tube labeling system.
  • Demonstrated ability to handle multiple test tube and tray sizes.
  • Significant reduction in hands-on time for fraction labeling, by approximately 60%.

Conclusions:

  • The developed automated system effectively addresses the challenges of labeling chromatography fractions.
  • The system enhances efficiency and accuracy in high-throughput purification laboratories.
  • Automation of this tedious task significantly reduces manual labor and potential for human error.