Extent-based kinetic identification is a kinetic modeling technique that uses concentration measurements to compute extents and identify reaction kinetics by the integral method of parameter estimation. This article considers the case where spectroscopic data are used together with a calibration model to predict concentrations. The calibration set is assumed to be constructed from reacting data that include pairs of concentration and spectral data. Alternatively, one can use the concentration- and spectral contributions of the reactions and mass transfers, which are obtained by pretreatment in reaction- and mass-transfer-variant form. The extent-based kinetic identification using concentrations predicted from spectroscopic data is illustrated through the simulation of both a homogeneous and a gas-liquid reaction system.
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http://dx.doi.org/10.1016/j.aca.2012.12.032 | DOI Listing |
Methods Mol Biol
June 2019
International Rice Research Institute, Los Baños, Laguna, Philippines.
Rice is one of the staple foods which serves as the major source of carbohydrate in the human diet. A typical milled rice grain is mainly composed of starch of up to 80-90%, with an average of 6-8% proteins and some trace amounts of dietary fiber. Although cooked white rice can elicit variable glycemic response, a portion of rice starch may evade digestion in the human small intestine.
View Article and Find Full Text PDFAnal Chim Acta
March 2013
Laboratoire d'Automatique, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
Extent-based kinetic identification is a kinetic modeling technique that uses concentration measurements to compute extents and identify reaction kinetics by the integral method of parameter estimation. This article considers the case where spectroscopic data are used together with a calibration model to predict concentrations. The calibration set is assumed to be constructed from reacting data that include pairs of concentration and spectral data.
View Article and Find Full Text PDFJ Muscle Res Cell Motil
June 2006
Department of Cell Biology and Physiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
The steep relationship between systolic force and end diastolic volume in cardiac muscle (Frank-Starling relation) is, to a large extent, based on length-dependent changes in myofilament Ca(2+) sensitivity. How sarcomere length modulates Ca(2+) sensitivity is still a topic of active investigation. Two general themes have emerged in recent years.
View Article and Find Full Text PDFJ Mol Biol
October 2003
Biosciences Division, Structural Biology Center, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA.
Ribose-5-phosphate isomerases (EC 5.3.1.
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