EAS Short Course

From: Elizabeth F McCord <Elizabeth.F.McCord_at_usa.dupont.com>
Date: Mon, 4 Nov 2002 13:11:50 -0500

Hello!

Here is a description of a new 2-day course that we will be offering at the
Eastern Analytical Symposium meeting November 20 and 21 in case any of
you would be interested in attending. The EAS hotline for registration is
1-610-485-4633 or access www.eas.org. Registration for this course is
still open.


Title: How to Get More Out of Your Expensive NMR Instrument

Instructors: Peter L. Rinaldi, The University of Akron, Akron, OH),
Betsy McCord, DuPont Central Research

Attend this course if: you want to learn how to turn overnight
experiments into 1-4 hour experiments; you would like to increase the
fraction of experiments that give you worthwhile data; you want to learn
how to
extract more out of the data you have, and avoid costly, time-consuming
experiment reruns; you would like to keep instrument down-time to a
minimum,
by identifying problems before they incapacitate your instrument and by
recognizing the source of problems quickly.

This course will cover practical aspects of NMR data acquisition and
processing. We will describe the important instrument calibrations
(including transmitter decoupler and gradient field strengths), how to
run them efficiently, and how to recognize instrument problems (as opposed
to experiment setup problems) when the calibrations don't give the expected
results. We will describe the influence of data acquisition parameters
and instrument settings (acquisition time, experiment repetition time,
receiver gain, pulse width, decoupling mode, receiver gating, oversampling,
etc.) on the appearance of the final spectrum, with an emphasis on those
things
that can be adjusted to optimize signal-to-noise, resolution and detection
of weak signals in the presence of large ones. Once the data is collected,
we will describe how to use a variety processing techniques (including
apodization, resolution enhancement, phasing, digital signal
processing, zero filling, linear prediction, baseline correction and more)
so that you can extract the most from you data. When all available data
processing
tools are used, it is very often possible to greatly improve the quality of
your data. The extra information available can very often eliminate the
need
for an overnight or weekend-long rerun of an experiment, to detect the
signals you were missing in the spectrum from processing using the
manufacturer's canned parameters. This can be especially important when a
rerun is not possible because the sample is no longer available.




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Received on Mon Nov 04 2002 - 18:00:17 MST

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