Digging out with a robot
1996
Automating Sample Preparation in Chemistry
Sample size: 190600
publication
Evidence: high
Author Information
Author(s): Milton Levenberg
Primary Institution: Abbott Laboratories
Hypothesis
Can automation improve the efficiency of sample preparation and data acquisition in chemical analysis?
Conclusion
The automation of sample preparation and data acquisition significantly reduced turnaround times and costs for spectroscopic analysis at Abbott Laboratories.
Supporting Evidence
- Before automation, chemists waited up to a week for spectroscopic data.
- Automated systems reduced the cost per sample from $50-$100 to $5-$7.
- The first automated NMR system processed 190,600 samples in seven years.
Takeaway
This study shows that using robots to prepare samples for chemical tests can make the process faster and cheaper.
Methodology
The study involved implementing a robotic system for automated sample preparation and data acquisition in NMR and mass spectrometry.
Limitations
The study does not address potential issues with sample quality or the need for human oversight in complex cases.
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