Publication Cover
Drying Technology
An International Journal
Volume 28, 2010 - Issue 6
360
Views
36
CrossRef citations to date
0
Altmetric
Original Articles

Kinetic Models of β-Carotene Degradation During Air Drying of Carrots

&
Pages 752-761 | Published online: 27 May 2010
 

Abstract

The objective of this study was to determine the kinetic parameters of models that describe the joint influence of temperature and moisture content on the thermal degradation of β-carotene in a drying process of carrots. Two models were used: a first-order decay model with an Arrhenius and a polynomial dependency on temperature and water content, respectively, and a decay model with a WLF dependency of the decimal reduction time on glass transition temperature (Tg), with the Gordon and Taylor equation describing the influence of moisture content on Tg. Carrots were dehydrated in a cabinet air dryer at 50, 60, 70, and 80°C. Carrot samples were drawn at 20-min intervals and analyzed for moisture and β-carotene content. The parameters of the two models were estimated by nonlinear regression. In addition, the models were evaluated by comparing their predictions and experimental data during drying at 80°C of carrot slices with thickness of 3, 6, and 9 mm. Both models were found suitable for modeling the β-carotene degradation, though the lower sum of squares of residuals (SSQ) of the Tg approach model and the similar WLF parameters calculated at different drying air temperatures demonstrated the higher predictive ability of the Tg model over the more common empirical dependence model.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 760.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.