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Advances in analytical chemistryImplementation of computer programs based on multivariate statistical algorithms makes possible obtaining reliable information from long data vectors that contain large amounts of extraneous information, for example, noise and/or analytes that we do not wish to control. Three examples are described. Each of these applications requires the use of techniques characteristic of modern analytical chemistry. The first example, using a quantitative or analytical model, describes the determination of the acid dissociation constant for 2,2'-pyridyl thiophene using archived data. The second example describes an investigation to determine the active biocidal species of iodine in aqueous solutions. The third example is taken from a research program directed toward advanced fiber-optic chemical sensors. The second and third examples require heuristic or empirical models.
Document ID
19930041453
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Arendale, W. F.
(Alabama Univ. Huntsville, United States)
Congo, Richard T.
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Nielsen, Bruce J.
(USAF, Engineering and Services Center Tyndall AFB, FL, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1991
Publication Information
Publication: In: Environmental sensing and combustion diagnostics; Proceedings of the Meeting, Los Angeles, CA, Jan. 24, 25, 1991 (A93-25447 08-35)
Publisher: Society of Photo-Optical Instrumentation Engineers
Subject Category
Inorganic And Physical Chemistry
Accession Number
93A25450
Funding Number(s)
CONTRACT_GRANT: NAS8-36955
Distribution Limits
Public
Copyright
Other

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