Journal ArticleDOI
Parameter estimation from multiresponse data
TLDR
Methods for modeling such data are described, emphasizing parameter estimation strategy and available software, and experiences in multiresponse modeling are reviewed for several chemical engineering problems.Abstract:
Multiresponse data are familiar outputs of experiments and processes involving multicomponent mixtures, multiple streams or multiple methods of observation. The resulting arrays of data exhibit various structures, including rectangular (no missing values), block-rectangular, and irregular (missing values with no simple pattern). Methods for modeling such data are described, emphasizing parameter estimation strategy and available software. Experiences in multiresponse modeling are then reviewed for several chemical engineering problems.read more
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A review of Maillard reaction in food and implications to kinetic modelling
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On the mechanism of low-temperature water gas shift reaction on copper.
TL;DR: Periodic, self-consistent density functional theory (DFT-GGA) calculations are used to investigate the water gas shift reaction (WGSR) mechanism on Cu(111) and identify carboxyl, a new reactive intermediate, which plays a central role in WGSR.
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An efficient method for parametric uncertainty analysis of numerical geophysical models
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Statistical aspects of kinetic modeling for food science problems.
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Thermal degradation of glucosinolates in red cabbage
TL;DR: In this paper, the degradation of individual glucosinolates within the plant matrix was studied and the degree of thermal degradation at standardized heating conditions (blanching, cooking and canning) was simulated.