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Justifying Instrumental Techniques of Analytical Chemistry
Author(s) -
ROTHBART DANIEL,
KOHOUT LADISLAV
Publication year - 2003
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1111/j.1749-6632.2003.tb06106.x
Subject(s) - noise (video) , biochemical engineering , computer science , nonlinear system , spectrometer , chemometrics , chemistry , management science , nanotechnology , artificial intelligence , machine learning , engineering , physics , materials science , quantum mechanics , image (mathematics)
A bstract : In this paper, we argue that the foundations of chemistry rely as much on the methods of measurement as they do on categories of chemical substance. To some degree, chemists perform the work of knowledge engineering: designing complex systems for the efficient retrieval of information. Indeed, in some cases, methods of instrumental detection move to the forefront of attention. For example, researchers are expected to deploy optimization methods designed to maximize desired signal and minimize the damaging effects of noise. But in his important contributions to the development of high‐resolution NMR spectrometers, Hans Primas used stochastic methods to reveal beneficial effects of noise for characterizing physical systems, demonstrating the value of noisy signals for nonlinear physical systems in chemistry.