omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
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1:30 pm Thursday, February 5 Emerging Technologies – Per<strong>for</strong>mance Metrics Room A1<br />
John Bradshaw<br />
Artel, Inc.<br />
25 Bradley Drive<br />
Westbrook, Maine 04092<br />
jbradshaw@artel-usa.com<br />
141<br />
Co-Author(s)<br />
Alex L. Rogers, Tanya R. Knaide,<br />
Richard H. Curtis, George Rodrigues<br />
A Multichannel Volumetric Verification (MVV) System <strong>for</strong> Ensuring the Accuracy <strong>and</strong> Precision<br />
of Liquid Delivery<br />
Building upon their expertise in liquid delivery verification <strong>and</strong> their proprietary ratiometric photometry, Artel has<br />
developed a system that overcomes the limitations of other methods (e.g., gravimetric, fluorimetric, or single dye<br />
photometric) designed to calibrate automated liquid h<strong>and</strong>ling equipment. By measuring the absorbance ratio of<br />
two photometric dyes, the MVV system determines both accuracy <strong>and</strong> precision of volume delivery from various<br />
types of multichannel liquid h<strong>and</strong>ling equipment (both automated instrumentation as well as manual pipettes)<br />
with 8-, 12-, or 96-tips operating over a volume range from 2 to 200 mµL. A suggested robust test protocol of<br />
nine volumes over the working volume range requires from as little as one to at most three hours to per<strong>for</strong>m,<br />
depending on the speed of the liquid h<strong>and</strong>ler being validated. As well as providing speed, ease-of-use <strong>and</strong> high<br />
per<strong>for</strong>mance in assessing accuracy <strong>and</strong> precision, the MVV system provides traceability to international st<strong>and</strong>ards<br />
which answers regulatory compliance requirements <strong>and</strong> ensures comparable inter-laboratory results. In-house data<br />
collected during the development of the MVV system, which shows good agreement with other approaches <strong>for</strong><br />
determining liquid delivery, will be presented as a validation of the dual-dye photometric approach. Field testing of<br />
the MVV system on various makes of automated equipment will also be presented, further verifying this approach<br />
as a fast <strong>and</strong> reliable method <strong>for</strong> determining volume delivery per<strong>for</strong>mance. Finally, data demonstrating the utility<br />
of the MVV system <strong>for</strong> easily assessing <strong>and</strong> altering the aspirate/dispense parameters <strong>for</strong> creating optimized liquid<br />
delivery protocols will be discussed.<br />
2:00 pm Thursday, February 5 Emerging Technologies – Per<strong>for</strong>mance Metrics Room A1<br />
Toshiyuki Shiina<br />
Los Alamos National <strong>Laboratory</strong><br />
P.O. Box 1663 MS J580<br />
Los Alamos, New Mexico 87545<br />
tshiina@lanl.gov<br />
Co-Author(s)<br />
Torsten Staab<br />
Derek Miller<br />
Improving Sample Analysis Throughput <strong>and</strong> Quality With a C#.NET-based, Real-Time QC<br />
Decision Support System<br />
In this talk we present the current status <strong>and</strong> the future plan of an integrated, software-based quality control<br />
system designed to significantly improve the sample analysis throughput <strong>and</strong> quality of Beryllium analysis<br />
laboratories throughout the U.S. Department of Energy complex. Originally this system was developed <strong>for</strong> the<br />
Perkin Elmer 4300DV Optical Emission Spectrometer, which is usually combined with an auto-sampler capable<br />
of more than 100 samples per run. The current implementation of the device control software has no feedback<br />
loop; hence requires constant manual monitoring by lab personnel. Our new control system is designed to enable<br />
automatic data analyses in real-time in order to reduce operational costs <strong>and</strong> human error. To achieve these goals,<br />
we have developed a rule-based expert system in the C#.NET programming language <strong>and</strong> ADO.NET (ActiveX<br />
Data Object) that continuously extracts <strong>and</strong> analyzes data from the instrument’s result database as the data is<br />
being generated. Using our customer-specified rule base, the system is capable of detecting abnormal operating<br />
situations fully autonomously in real-time. This also enables the system to per<strong>for</strong>m on-the-fly quality control <strong>and</strong><br />
automatic event notification of lab personnel via e-mail <strong>and</strong>/or pager.<br />
PODIUM ABSTRACTS