University of North Florida
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Contact Info

Stuart Chalk, Ph.D.
Department of Chemistry
University of North Florida
Phone: 1-904-620-1938
Fax: 1-904-620-3535
Email: schalk@unf.edu
Website: @unf

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Ramsay Richmond

Abbrev:
Richmond, R.
Other Names:
Address:
Core Technology Area Analytics Unit, Novartis Pharma AG, CH-4002 Basel, Switzerland
Phone:
+41-061-693-4555
Fax:
NA

Citations 4

"High-throughput Flow Injection Analysis Mass Spectrometry With Networked Delivery Of Color Rendered Results: The Characterisation Of Liquid Chromatography Fractions"
J. Chromatogr. A 1999 Volume 835, Issue 1-2 Pages 29-39
Ramsay Richmond, Ekkehard Görlach and Jan-Marcus Seifert

Abstract: An automated high-throughput flow injection analysis electrospray-mass spectrometry system originally developed in-house for purity estimation of multiple parallel synthesis combinatorial chemistry samples, was adapted to analyze liquid chromatography fractions. A networked Visual Basic application called RACKVIEWER provides a fast and easy inspection of color rendered liquid chromatography fraction data, by the synthetic chemists, whether at the main corporate site or the various geographically dispersed Novartis Pharma research institutes. Various depictions of individual well ion currents including colorised three-dimensional maps of the racks entire ion current, provide data highlighting strategies. Other advantages include allowing the seamless integration of 96-well racks containing the Liquid chromatography fractions into existing quick turnaround high-throughput mass spectrometry queues, and allowing the synthetic chemists a wider a priori choice of MS compatible chromatographic conditions.
Combinatorial chemistry

"The Analytical Characterisation Of Sub-minute Measurement Duty Cycles In Flow Injection Analysis Mass Spectrometry, By Their Carry-over"
Anal. Chim. Acta 2000 Volume 403, Issue 1-2 Pages 287-294
Ramsay Richmond

Abstract: A high-throughput flow injection analysis mass spectrometry system was developed in-house for the purity estimation of multiple parallel combinatorial chemistry syntheses. A Visual Basic application called RackViewer allows a fast and easy on-screen inspection of these estimates at dispersed laboratory workbenches via the corporate computer network. Due to the increasing numbers of samples to be measured, there is an constant incentive to reduce the measurement duty cycle in order to develop faster throughput rates. Consequently, one threat to the accuracy of these purity estimates is surreptitious inter-sample carry-over. By analogy with the computer screen color rendering of the purity estimates, carry-over was automatically calculated, then color depicted within RackViewer. In an earlier report, this carry-over visualisation tool facilitated a stepwise reduction in the measurement duty cycle to 70 s, while maintaining median inter-sample carry-over at levels well below 1%. However, a limiting factor in further optimization was the physical speed of the autosamplers sampling head. A recent increase in this speed by the autosamplers manufacturer allowed a second attempt at achieving well characterized sub-minute measurement duty cycles. Six injection variations involving different syringe and loop wash combinations were examined for their characteristic inter-sample carry-over, using over four hundred samples drawn equally from five diverse combinatorial chemistries. One emerged as the best, with a median inter-sample carry-over of 0.01% and a measurement duty cycle of 44 s.
Mass spectrometry Combinatorial chemistry Synthesis Optimization

"Sorting Measurement Queues To Speed Up The Flow Injection Analysis Mass Spectrometry Of Combinatorial Chemistry Syntheses"
Anal. Chim. Acta 1999 Volume 394, Issue 1 Pages 33-42
Ramsay Richmond and Ekkehard Görlach

Abstract: A high-throughput flow injection analysis mass spectrometry system was developed for the purity estimation of multiple parallel combinatorial chemistry synthetic samples. Surreptitious inter-sample carry-over represents a threat to the accuracy of the purity estimates. The visualisation of carry-over in 96-well racks via a surveillance program was improved by introducing the automatic sorting of the intra-rack sample measurement queues. This was necessary as the logical arraying of building blocks by synthetic dispensing robots imparts an underlying row and/or column order to the 96-well racks, which complicates the estimation of carry-over. In a primary sorting step, the molecular weight difference between the expected synthetic products in consecutively measured wells was maximised; in a secondary sorting step, the consecutive measurement of wells with similar building blocks was minimised. Over four hundred samples drawn equally from five diverse combinatorial synthetic families were measured to explore the use of this two-stage sorting to ease the measurement of carry-over, and so to facilitate the optimization of the flow injection analysis measurement duty cycle. Subsequently the duty cycle in daily use, of 168 s was reduced to 70 s, while maintaining the median inter-sample carry-over at levels below 1%.
Combinatorial chemistry

"The Automatic Visualisation Of Carry-over In High-throughput Flow Injection Analysis Mass Spectrometry"
Anal. Chim. Acta 1999 Volume 390, Issue 1-3 Pages 175-183
Ramsay Richmond and Ekkehard Görlach

Abstract: A high-throughput flow injection analysis mass spectrometry system (FIA-MS) was developed for the purity estimation of multiple parallel combinatorial chemistry synthetic samples, and has measured over 70 000 samples in two years. An in-house Visual Basic application called RackViewer allows a fast, direct, easy and economic inspection of the estimates at geographically dispersed laboratory workbenches via the corporate network. Due to the large numbers of samples involved, surreptitious inter-sample carry-over represents one threat to the accuracy of these purity estimates. It can become serious when reducing the measurement duty cycle in order to develop faster throughput rates. Over 400 samples drawn equally from five different combinatorial synthetic families were measured to explore this threat. By analogy with the color rendering of the purity estimates, inter-sample carry-over was automatically calculated for each measurement, color rendered and then depicted within RackViewer. Our FIA-MS in daily use has a median basal carry-over of 0.88%.
Combinatorial chemistry