Characterization of chemical, molecular, thermal and rheological properties of medlar pectin extracted at optimum conditions as determined by Box-Behnken and ANFIS models
Özet
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.
Anahtar Kelimeler
- Scopus
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- WoS
- 79
- OpenAlex
- 83
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Al-Amoudi, Rami H. | |
| dc.contributor.author | Taylan, Osman | |
| dc.contributor.author | Kutlu, Gozde | |
| dc.contributor.author | Can, Asli Muslu | |
| dc.contributor.author | Sagdic, Osman | |
| dc.contributor.author | Dertli, Enes | |
| dc.contributor.author | Yilmaz, Mustafa Tahsin | |
| dc.date.accessioned | 2026-10-29T19:11:28.484358963Z | |
| dc.date.available | 2026-10-29T19:11:28.484358963Z | |
| dc.date.issued | 2019 | |
| dc.description.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. | |
| dc.identifier.doi | 10.1016/j.foodchem.2018.07.211 | |
| dc.identifier.eissn | 1873-7072 | |
| dc.identifier.endpage | 662 | |
| dc.identifier.issn | 0308-8146 | |
| dc.identifier.pmid | 30236728 | |
| dc.identifier.scopus | 2-s2.0-85051051781 | |
| dc.identifier.startpage | 650 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/bayburt/13798 | |
| dc.identifier.volume | 271 | |
| dc.identifier.wos | WOS:000444967800082 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | Food Chemistry | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Medlar fruit | |
| dc.subject | Molecular, thermal and rheological characterization | |
| dc.subject | Pectin extraction yield | |
| dc.subject | RSM and ANFIS modeling | |
| dc.subject.classification | Chemistry, Applied | |
| dc.subject.classification | Food Science & Technology | |
| dc.subject.classification | Nutrition & Dietetics | |
| dc.subject.classification | Chemistry | |
| dc.subject.other | Fruit | |
| dc.subject.other | Pectins | |
| dc.subject.other | Rheology | |
| dc.subject.other | Spectroscopy, Fourier Transform Infrared | |
| dc.subject.other | Viscosity | |
| dc.subject.other | Differential scanning calorimetry | |
| dc.subject.other | Extraction | |
| dc.subject.other | Fourier transform infrared spectroscopy | |
| dc.subject.other | Fruits | |
| dc.subject.other | Fuzzy neural networks | |
| dc.subject.other | Fuzzy systems | |
| dc.subject.other | Nuclear magnetic resonance spectroscopy | |
| dc.subject.other | Thermogravimetric analysis | |
| dc.subject.other | arabinose | |
| dc.subject.other | galactose | |
| dc.subject.other | galacturonic acid | |
| dc.subject.other | glucose | |
| dc.subject.other | pectin | |
| dc.subject.other | rhamnose | |
| dc.subject.other | Adaptive neuro-fuzzy inference system | |
| dc.subject.other | ANFIS model | |
| dc.subject.other | Extraction yield | |
| dc.subject.other | High methoxyl pectins | |
| dc.subject.other | Medlar fruits | |
| dc.subject.other | Response surface methodology | |
| dc.subject.other | Rheological characterization | |
| dc.subject.other | Thermal and rheological properties | |
| dc.subject.other | Article | |
| dc.subject.other | chemical structure | |
| dc.subject.other | controlled study | |
| dc.subject.other | decomposition | |
| dc.subject.other | flow kinetics | |
| dc.subject.other | fuzzy system | |
| dc.subject.other | measurement repeatability | |
| dc.subject.other | Mespilus germanica | |
| dc.subject.other | nuclear magnetic resonance | |
| dc.subject.other | physical chemistry | |
| dc.subject.other | process control | |
| dc.subject.other | Raman spectrometry | |
| dc.subject.other | response surface method | |
| dc.subject.other | thermogravimetry | |
| dc.subject.other | chemistry | |
| dc.subject.other | infrared spectroscopy | |
| dc.subject.other | Fuzzy inference | |
| dc.title | Characterization of chemical, molecular, thermal and rheological properties of medlar pectin extracted at optimum conditions as determined by Box-Behnken and ANFIS models | |
| dc.type | Article | |
| rdl.citation.openalex | 83 | |
| rdl.citation.scopus | 89 | |
| rdl.citation.wos | 79 | |
| rdl.department | King Abdulaziz University, Faculty of Engineering, Department of Industrial Engineering, P.O. Box 80204, Jeddah 21589, Saudi Arabia | |
| rdl.department | Beykent University, School of Health Sciences, Department of Nutrition and Dietetics, P.O. Box 34522, İstanbul, Turkey | |
| rdl.department | İstanbul Gelişim University, Vocational School, Department of Culinary, P.O. Box 34310, İstanbul, Turkey | |
| rdl.department | Yıldız Technical University, Chemical and Metallurgical Engineering Faculty, Food Engineering Department, P.O. Box 34210, İstanbul, Turkey | |
| rdl.department | Bayburt University, Engineering Faculty, Food Engineering Department, P.O. Box 69000, Bayburt, Turkey | |
| rdl.oa.status | closed | |
| rdl.oa.status | green | |
| rdl.oa.url | https://hdl.handle.net/20.500.12662/4163 | |
| rdl.scopus.quartile | Q1 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.source.index | PUBMED | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |
