Estimation of Dielectric Properties of Cakes Based on Porosity, Moisture Content, and Formulations Using Statistical Methods and Artificial Neural Networks

Date

2008-2-20

Author

Boyacı, İsmail Hakkı
Şümnü, Servet Gülüm
Sakiyan, Ozge

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Dielectric constant (DC) and dielectric loss factor (DLF) are the two principal parameters that determine the coupling and distribution of electromagnetic energy during radiofrequency and microwave processing. In this study, chemometric methods [classical least square (CLS), principle component regression (PCR), partial least square (PLS), and artificial neural networks (ANN)] were investigated for estimation of DC and DLF values of cakes by using porosity, moisture content and main formulation components, fat content, emulsifier type (Purawave (TM), Lecigran (TM)), and fat replacer type (maltodextrin, Simplesse). Chemometric methods were calibrated firstly using training data set, and then they were tested using test data set to determine estimation capability of the method. Although statistical methods (CLS, PCR and PLS) were not successful for estimation of DC and DLF values, ANN estimated the dielectric properties accurately (R (2), 0.940 for DC and 0.953 for DLF). The variation of DC and DLF of the cakes when the porosity value, moisture content, and formulation components were changed were also visualized using the data predicted by trained network.

Subject Keywords

Dielectric constant, Dielectric loss factor, Microwave processing, Statistical methods, Artificial neural networks

URI

https://hdl.handle.net/11511/28583

Journal

Food and Bioprocess Technology

DOI

https://doi.org/10.1007/s11947-008-0064-z

Collections

Department of Food Engineering, Article

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Citation Formats

İ. H. Boyacı, S. G. Şümnü, and O. Sakiyan, “Estimation of Dielectric Properties of Cakes Based on Porosity, Moisture Content, and Formulations Using Statistical Methods and Artificial Neural Networks,” Food and Bioprocess Technology, pp. 353–360, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28583.