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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

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