Moisture diffusion in lipids has been traditionally described by generic models that do not offer complete information about its structural dependency. Due to the lack of a predictive structure-based model in literature, we do not know the crystallization conditions needed to favorably alter structure and decrease moisture transport in lipids. The objective of this study was to develop a mathematical model to predict effective moisture diffusivity based on fractal structure and void fraction in lipids. Predicted water uptakes using the proposed model were in better agreement (RMSE 0.01–0.03) with experimental data when compared to models from literature (RMSE 0.01–0.16). Clearly, accounting for the fractality of fat crystal networks and vapor phase diffusion in the void fraction were critical to the success of the proposed model over all other models. Interestingly, moisture diffusion occurred predominantly in the void fraction compared to the liquid oil fraction of all the lipid samples.
Journal of Food Engineering – Elsevier
Published: Dec 1, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera