INVESTIGADORES
GARRIDO Mariano Enrique
congresos y reuniones científicas
Título:
HARD- AND SOFT-MODELLING STRATEGY APPLIED TO A CURING REACTION OF EPOXY RESINS MONITORED BY NEAR-INFRARED SPECTROSCOPY
Autor/es:
M. GARRIDO; M. S. LARRECHI; F. X. RIUS
Lugar:
Lisboa
Reunión:
Congreso; IX CAC Chemometrics in Analytical Chemistry; 2004
Resumen:
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Spectroscopic data from monitoring of kinetic
process can be analysed using different approaches. The hard-modelling approach
consists of the fitting of parameters of a well-known chemical model, which
describes the mechanism of the reaction. The soft-modelling approaches allow
describing the
process without using explicitly the associate chemical model, and only require a series of constraints that are inherent to the chemical knowledge of
the system. The results are normally affected by the so-called ambiguities,
which can be reduced if additional information of the system is known
(selectivity regions, pure spectra of the reagents or final products). When
this information is not available, the interaction between hard- and
soft-modelling can help to minimize the ambiguities and provides the rate
constants as additional output information. The soft-modelling characteristics
allow modelling the contributions of the instrumental responses not related to
the kinetic process, situation in which would fail hard-modelling approach. In
this study the mixed approach is applied to near-infrared data from the
monitoring of curing reaction between phenylglycidyl ether (PGE) and aniline
(PGE/aniline molar ratio: 1.5:1). No selectivity regions are present and is not
possible to obtain the spectrum of the final product, since the reaction does
not reach its end. When a new constraint is introduced to force the concentration
profiles to fulfill the kinetic model, the obtained profiles represent, in a
suitable way, the expected behaviour of the species along the time. Also, the
rate constants are obtained and their values are in
agreement with those found in the bibliography.