Abstract
In this work, response surface methodology and adaptive neuro-fuzzy inference system approaches were used to predict and model effect of extraction conditions of pectin from medlar fruit (Mespilus germanica L.). The pectin extracted at optimized conditions (89 °C, 4.83 h and 4.2 pH) could be classified as high methoxyl pectin. Sugar composition analysis showed that pectin was mainly composed of D-galacturonic acid, L-arabinose, L-rhamnose, D-galactose and D-glucose. Fourier Transform Infrared Spectroscopy, RAMAN and nuclear magnetic resonance spectra confirmed molecular structure, revealing presence of D-galacturonic acid backbone. X-ray diffraction patterns revealed an amorphous structure. Differential scanning calorimetry showed endothermic (123 °C) and exothermic peaks (192 °C). Thermogravimetric analysis revealed three decomposition regions, 50–225 °C, 225–400 °C and 400–600 °C. Steady and dynamic shear analyses revealed that pectin had a pseudo-plastic behavior with storage (G′) and loss (G″) modulus increasing with increment in frequency, indicating viscoelastic structure more predominantly elastic than viscous.
| Original language | English |
|---|---|
| Pages (from-to) | 650-662 |
| Number of pages | 13 |
| Journal | Food Chemistry |
| Volume | 271 |
| DOIs | |
| Publication status | Published - 15 Jan 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 Elsevier Ltd
Keywords
- Medlar fruit
- Molecular, thermal and rheological characterization
- Pectin extraction yield
- RSM and ANFIS modeling
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