The use of fuzzy logic table look-up scheme for modeling of glucose release from wheat starches

Document Type : Research Article

Authors

1 Associate Professor, Department of Chemical Engineering, Faculty of Engineering, University of Bonab , Bonab, Iran

2 Department of Chemical Engineering, Faculty of Engineering, University of Bonab

3 Department of Textile Engineering, Faculty of Engineering, University of Bonab

4 Professor in food physics and Engineering in Department of Food Science& Technology , Agriculture Faculty , Ferdowsi University of Mashhad, Iran

Abstract

In this study phosphorylated and hydroxypropylated wheat starches were produced with 0.096 and 2.106% degree of substitution, respectively. The gel samples of the starches were prepared with concentrations of 8% and 12% at volumes of 7.5 and 15 ml. The gel samples were subjected under digestion process at simulated mouth and gastrointestinal conditions. The results showed that about 80% of the final glucose release from the starch samples were obtained within the first 15 min of digestion at the simulated intestinal condition. The amounts of glucose release for phosphorylated starch were approximately 6-11%, and for hydroxypropylated starch were 16-19% lower than that for native wheat starch after digestion at this condition. Fuzzy logic table look-up scheme was used in order to model the amount of glucose release from the starch samples. The fuzzy inputs (volume, concentration and the digestion time under the simulated intestinal condition) for each sample comprised of respectively 3, 3 and 13 fuzzy sets with triangular membership functions. Moreover, the amount of glucose release with 34 fuzzy sets and triangular membership function was considered as the output of fuzzy modeling system. In this research, the Mamdani’s inference system was used to conduct fuzzy set operations and the minimum T-norm operator and the center of gravity defuzzifier were used to produce each fuzzy rule. The results obtained from the fuzzy logic table look-up scheme modeling system demonstrated high proficiency (R2 = 0.991-0.995) of that for estimation of the amount of glucose release from the wheat starch samples at the simulated intestinal conditions.

Graphical Abstract

The use of fuzzy logic table look-up scheme for modeling of glucose release from wheat starches

Highlights

  • A simulated gastrointestinal digestion system was used.
  • Major release of glucose was observed under the intestinal digestion conditions.
  • Hydroxypropylated starch showed the lowest amount of glucose release.
  • Fuzzy logic table look-up scheme had high efficiency for prediction of glucose release under the intestinal digestion conditions.

Keywords

Main Subjects


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