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Related Experiment Video

Updated: Mar 11, 2026

A Rapid and Specific Microplate Assay for the Determination of Intra- and Extracellular Ascorbate in Cultured Cells

A Rapid and Specific Microplate Assay for the Determination of Intra- and Extracellular Ascorbate in Cultured Cells

Published on: April 11, 2014

Modeling the degradation kinetics of ascorbic acid.

Micha Peleg¹, Mark D Normand¹, William R Dixon¹

¹a Department of Food Science, Chenoweth Laboratories , University of Massachusetts , Amherst , MA , USA.

Critical Reviews in Food Science and Nutrition

|November 29, 2016

Summary

Ascorbic acid (AA) degradation often follows first-order kinetics, but deviations exist. This study provides tools to model and predict AA degradation under various conditions, aiding in food preservation strategies.

Keywords:

Vitamin C chemical stability endpoints method exponential model kinetics storage

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Area of Science:

Food Science
Chemical Kinetics
Biochemistry

Background:

Ascorbic acid (AA) degradation kinetics during food processing are crucial for nutrient retention.
Published data predominantly suggest first-order kinetics, but deviations like Weibullian decay are observed.
Temperature dependence of degradation rates typically follows the Arrhenius equation.

Purpose of the Study:

To provide a formula and interactive tools for converting between Arrhenius and exponential degradation models.
To enable simulation of isothermal and non-isothermal AA degradation using interactive software.
To offer methods for estimating kinetic parameters with fewer data points and validate models.

Main Methods:

Development of a formula for Arrhenius E_a to exponential c parameter conversion.
Creation of interactive Wolfram Demonstrations for simulating AA degradation.
Application of endpoints and successive points methods for kinetic parameter estimation.
Utilizing freeware for kinetic calculations.

Main Results:

Formulas and interactive demonstrations are provided for model conversion and simulation.
Methods allow for efficient estimation of kinetic parameters.
Predicted degradation curves can be generated for various temperature profiles.
Model validation is facilitated by comparing predicted and experimental results.

Conclusions:

The study offers practical tools for understanding and predicting ascorbic acid degradation.
Accurate kinetic parameter estimation and model validation are key for optimizing food preservation.
The provided resources support research in food stability and nutrient stability.