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Iterated reaction graphs: simulating complex Maillard reaction pathways.

S Patel1, J Rabone, S Russell

  • 1Unilever Research Port Sunlight Laboratory, Bebington, Wirral, L63 3JW, UK. Shail.patel@unilever.com

Journal of Chemical Information and Computer Sciences
|August 14, 2001
PubMed
Summary
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This study introduces iterated reaction graphs to simulate complex chemical reactions like the Maillard process. This method accurately predicts volatile compounds in food browning reactions.

Area of Science:

  • Computational Chemistry
  • Food Chemistry
  • Chemical Kinetics

Background:

  • The Maillard process involves complex chemical reactions responsible for food browning.
  • Accurate prediction of volatile compounds in the Maillard process is challenging due to complex reaction networks.

Purpose of the Study:

  • To develop and validate a novel computational framework for simulating complex chemical systems.
  • To model the Maillard process with sufficient detail for predicting volatile product composition.

Main Methods:

  • Developed a simulation framework termed iterated reaction graphs.
  • Utilized a 'soup' of molecules and a reaction base of Maillard reactions in an iterative process.
  • Treated reaction kinetics as probabilities and modeled a subset of chemistry, grouping reactions for efficiency.

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Main Results:

  • Generated reaction graphs with molecules as nodes and reactions as arcs.
  • Validated the simulation output against experimental gas-chromatographic/mass spectrometric analysis.
  • Achieved realistic output and convergence towards desired volatiles.

Conclusions:

  • Iterated reaction graphs provide a viable method for simulating complex chemical systems.
  • The framework enables prediction of volatile composition in processes like the Maillard reaction.
  • This approach offers a detailed yet manageable way to study intricate chemical pathways.