LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
LabAutomation 2006 - SLAS
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MP77<br />
Michael Thomas<br />
Royal Free Hampstead Nhs Trust<br />
London, United Kingdom<br />
michael.thomas@royalfree.nhs.uk<br />
Where Laboratory Technologies Emerge and Merge<br />
Co-Author<br />
Keyna Mendonca<br />
An Exemplar of Laboratory Automation: Proving the Modular Concept in a Modernising<br />
Pathology Service<br />
In spring 2001 the Royal Free Hospital became the first total laboratory automation (TLA) site in the United Kingdom with the<br />
implementation of the Roche-Hitachi Modular series of instruments. The site has been widely recognized in the UK as an exemplar of<br />
pathology modernization where pre-analytical robots linked to parallel processing lines for classical chemistry and immunodiagnostics<br />
provides a seamless process from sample registration to result production. Since then increasing demand has seen the number of<br />
delivered specimens increase from 900 to 1,700 per day. Under a modernizing agenda for pathology services this workload is expected<br />
to increase by a further 25% this year with the relocation of local sector based renal services.<br />
The benefits of the modular approach to automation means that the Royal Free has been able to easily increase the capacity of its TLA<br />
set-up through the introduction of a third analytical line for classical chemistry and an additional module for immunodiagnostics. Computer<br />
modeling predicts that reconfiguration will also provide an enhanced service with a reduction in turnaround times from 35 minutes to<br />
22 minutes (time of loading to result). Furthermore, the additional capacity in immunodiagnostics will promote further test consolidation<br />
across pathology. The initial aims of introducing TLA, reported at this conference in 2001, have been more than met with demonstrable<br />
improvements in both quality and productivity contained within cash limits. The ease of expansion of the system through its modular<br />
configuration vindicates its original selection and secures an appropriate return on investment in this technology.<br />
MP78<br />
Kerstin Thurow<br />
University Rostock<br />
Rostock, Germany<br />
kerstin.thurow@uni-rostock.de<br />
Co-Author<br />
Dirk Gördes<br />
Center for Life Science Automation<br />
HTS Application for the Determination of Enantiomeric Excess Using ESI-Mass<br />
Spectrometry<br />
The outstanding properties of chemical substances for pharmaceutical applications and designed molecules are often based upon their<br />
enantiopure occurrence. Methods for a rapid determination of the enantiomeric excess (ee) of organic substrates, especially for highthroughput<br />
screenings, are often the “bottleneck” in a purposed process. A combined process of entirely automated sample preparation<br />
and mass spectrometry was developed and resulted in a powerful tool with a broad scope of applications. In general, mass spectrometry<br />
is a technique that provides no chiral information but is attractive to high-throughput applications because of its wide scope. The fact that<br />
mass spectrometry enables the detection and specification of masses of desired targets in a parallel manner without interference, creates<br />
the basis for a fast determination of enantiomeric excess via kinetic resolution with mass-tagged auxiliaries. First, the kinetic resolution<br />
selectivity, defined as the relative rates of the competing fast and slow reactions of mass-tagged enantiopure R- and S-auxiliaries with the<br />
substrate, is recorded in a defined calibration procedure. With this calibration a measurement of an authentic sample derivatized with the<br />
auxiliaries will give the relative amounts of the desired substrate. For this method, a large variety of chiral acids, alcohols, amides, amines<br />
and amino acids were applicable and could be utilized as substrate or auxiliary. In combination with standardized reaction vessels and<br />
a very versatile and precise sample preparation system, the average measurement duration can be shortened by a factor of 5 to 10. An<br />
efficient automatic data processing completes the HTS requirements.<br />
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