Damla Yalcin
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damlayalcin@iyte.edu.tr
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Sustainable Development Goals
1NO POVERTY
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2ZERO HUNGER
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3GOOD HEALTH AND WELL-BEING
2
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4QUALITY EDUCATION
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5GENDER EQUALITY
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6CLEAN WATER AND SANITATION
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7AFFORDABLE AND CLEAN ENERGY
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8DECENT WORK AND ECONOMIC GROWTH
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
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10REDUCED INEQUALITIES
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11SUSTAINABLE CITIES AND COMMUNITIES
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
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13CLIMATE ACTION
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14LIFE BELOW WATER
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15LIFE ON LAND
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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Scholarly Output
8
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7
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5019/1283
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1
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WoS Citation Count
35
Scopus Citation Count
37
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WoS Citations per Publication
4.38
Scopus Citations per Publication
4.63
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1
Supervised Theses
1
| Journal | Count |
|---|---|
| Chemical Engineering Research and Design | 2 |
| Brazilian Archives of Biology and Technology | 1 |
| Chemical Engineering Science | 1 |
| International Journal of Biological Macromolecules | 1 |
| Iranian Polymer Journal (English Edition) | 1 |
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8 results
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Now showing 1 - 8 of 8
Article Poly(Ethylene Glycol)-Keratin Hydrogels Prepared Via Thiol-Maleimide Reaction(Polymer Soc Korea, 2025) Yalcin, Damla; Top, AybenThe mechanical properties of hydrogels have a profound effect on cellular responses in tissue engineering applications. In this study, poly(ethylene glycol)-keratin (PEG-KRTN) hydrogels with tunable mechanical properties were prepared by varying molar mass of the maleimide functionalized PEG in the thiol-maleimide chemistry. Reduced keratins were reacted with PEG-maleimides having 2000 Da and 6000 Da molar masses. Viscoelastic and physiochemical properties and cytocompatibility of these hydrogels were tested. Storage modulus values were obtained as 2613 +/- 254 Pa and 1313 +/- 345 Pa for PEG2000-KRTN and PEG6000-KRTN hydrogels, respectively. Strain sweep data indicate that the linear viscoelastic region (LVER) of the PEG6000-KRTN hydrogel spans up to 40% strain value, whereas it is limited to 10% critical strain for the PEG2000-KRTN hydrogel. PEG6000-KRTN hydrogel presented higher swelling ratios and porosity. CCK-8 test showed that both hydrogels promoted the proliferation of L929 mouse fibroblast cells and, hence, can be applied in soft tissue engineering.Article Citation - WoS: 24Citation - Scopus: 26Self-Assembly Behavior of the Keratose Proteins Extracted From Oxidized Ovis Aries Wool Fibers(Elsevier Ltd., 2019) Pakkaner, Efecan; Yalçın, Damla; Uysal, Berk; Top, AybenWater soluble keratose proteins were obtained from an Ovis Aries wool using peracetic acid oxidation. The wool samples and the extracted keratose proteins were characterized by using FTIR, XRD, SEM and TGA techniques. Fractions of alpha-keratose (MW = 43-53 kDa) along with protein species with molecular weights between 23 kDa and 33 kDa were identified in the SDS-PAGE analysis result of the extracted protein mixture. DLS and AFM experiments indicated that self-assembled globular nanoparticles with diameters between 15 nm and 100 nm formed at 5 mg/ml keratose concentration. On the other hand, upon incubation of 10 w % keratose solutions at 37 degrees C and 50 degrees C, interconnected keratose hydrogels with respective storage modulus (G') values of 0.17 +/- 0.03 kPa and 3.7 +/- 0.5 kPa were obtained. It was shown that the keratose hydrogel prepared at 37 degrees C supported L929 mouse fibroblast cell proliferation which suggested that these keratose hydrogels could be promising candidates in soft tissue engineering applications. (C) 2018 Elsevier B.V. All rights reserved.Article Citation - WoS: 1Citation - Scopus: 1Storage Tank Farming Planning Under Equipment and Port Operational Costs Through Mixed Integer Quadratically Constrained Programming(Elsevier, 2025) Yalcin, Damla; Deliismail, Ozgun; Tuncer, Basak; Sildir, HasanThe study contributes a new method for managing crude oil tank farms, focusing on scheduling and optimizing storage tanks using mathematical modeling. The short-term continuous-time scheduling model reduces tank requirements and performs selection with convenient capacities. The nonconvex mixed-integer quadratically constrained programming (MIQCP) model is used to account for tank farm scheduling dynamics. It focuses on the integration of ships, storage tanks, charging tanks, and crude oil distillation units. The study examines 8 cases focusing on oil supply, arrival times, prices, and maximum flow rate constraints to show the impact of real-world volatility. By incorporating process intensification principles, the mathematical model emphasizes the importance of optimizing storage tank usage to minimize port operational costs of crude oils.Article Towards Facile Deep Learning Architectures for Chemical Processes: Simultaneous Pseudo-Global Training and Economic Synthesis(Institution of Chemical Engineers, 2025) Sildir, Hasan; Yalcin, Damla; Tuncer, Basak; Deliismail, Ozgun; Leblebici, Mumin EnisChemical process data is usually not directly valorized in pure machine learning predictive models due to limited data availability. This limitation often caused from high sensor costs, data variety, and veracity issues. In response, this study proposes a novel formulation based on mixed-integer linear programming (MILP), called Approximated Deep Learning (ADL), to overcome these limitations and enable accurate modeling under data scarcity. The ADL simultaneously performs input selection, outlier filtering, and training of deep learning architectures within a single-level optimization problem. The method approximates the nonlinear and nonconvex components of traditional deep learning models in the mixed-integer domain through sophisticated reformulations, achieving a pseudo-global solution. A key feature of ADL is the integration of sensor pricing as a regularization mechanism, which promotes cost-efficient soft sensor design without compromising predictive performance. The proposed framework is validated on a publicly available bubble column dataset and benchmarked against four conventional deep learning methods. Results show that ADL achieves superior test accuracy with more than 50% reduction in input space, drastically reducing sensor cost. Furthermore, the optimized architecture is a high-quality initial guess for transfer learning on larger datasets. Overall, the method offers a practical and economically viable solution for data-driven chemical process modeling.Article Citation - WoS: 5Citation - Scopus: 5Automated Deep Learning Model Development Based on Weight Sensitivity and Model Selection Statistics(Pergamon-elsevier Science Ltd, 2025) Yalcin, Damla; Deliismail, Ozgun; Tuncer, Basak; Boy, Onur Can; Bayar, Ibrahim; Kayar, Gizem; Sildir, HasanCurrent sustainable production and consumption processes call for technological integration with the realm of computational modeling especially in the form of sophisticated data-driven architectures. Advanced mathematical formulations are essential for deep learning approach to account for revealing patterns under nonlinear and complex interactions to enable better prediction capabilities for subsequent optimization and control tasks. Bayesian Information Criterion and Akaike Information Criterion are introduced as additional constraints to a mixed-integer training problem which employs a parameter sensitivity related objective function, unlike traditional methods which minimize the training error under fixed architecture. The resulting comprehensive optimization formulation is flexible as a simultaneous approach is introduced through algorithmic differentiation to benefit from advanced solvers to handle computational challenges and theoretical issues. Proposed formulation delivers 40% reduction, in architecture with high accuracy. The performance of the approach is compared to fully connected traditional methods on two different case studies from large scale chemical plants.Article Evaluation of Partially Reduced Keratins Extracted From Wool Fibers as a Hydrogel Forming Biomaterial(inst Tecnologia Parana, 2024) Yalcin, Damla; Top, AybenIn this study, it was aimed to prepare low-cost hydrogel from reduced keratin. Keratin proteins were obtained from Merino wool via three extraction methods. In the first method, keratins were reduced using sodium sulfide. In the second method, keratins extracted with the first method were precipitated with HCl. Urea, EDTA, and sodium sulfide were used in the third method. Extraction yields of method 1, method 2, and method 3 were determined as 44 +/- 2, 27 +/- 1, and 42 +/- 2 %, respectively. For all extraction methods, the average value of the free thiol amounts was obtained as 0.06 +/- 0.02 mmol SH/g keratin. A considerable portion of the highly polydisperse keratins was separated between similar to 40 kDa and similar to 60 kDa in the SDS-PAGE gel, and this fraction corresponds to alpha-keratin proteins with low sulfur content. A strong band at similar to 1654 +/- 1 cm(-1) detected in the FTIR spectra of the keratins confirms mainly alpha-helical secondary structure. The self- standing hydrogel was obtained upon incubating 15 wt. % keratin solution at 37 degrees C. Storage modulus and loss modulus of the hydrogel were determined as 1.3 +/- 0.08 kPa and 0.1 +/- 0.015 kPa, respectively. The keratin hydrogel is not cytotoxic to L929 mouse fibroblast cells, suggesting that this affordable hydrogel can be applied as a drug delivery/encapsulation system and in wound healing.Article Citation - WoS: 5Citation - Scopus: 5Novel Biopolymer-Based Hydrogels Obtained Through Crosslinking of Keratose Proteins Using Tetrakis(hydroxymethyl) Phosphonium Chloride(Springer, 2022) Yalçın, Damla; Top, AybenMerino wool obtained from the Karacabey region of Turkey was solubilized using peracetic acid oxidation. The wool and extracted wool proteins (keratose) were characterized using SEM, XRD, TGA, and FTIR analyses. SDS-PAGE result of the keratose indicated diffusive bands were populated between ~ 40 and ~ 55 kDa, corresponding to low-sulfur content α-keratose proteins. Chemically crosslinked hydrogels were prepared using the keratose and tetrakis(hydroxymethyl) phosphonium chloride (THPC). Storage moduli of the hydrogels prepared at 1:1, 1:2, and 1:4 keratose to THPC reactive group ratios were measured as 63 ± 22, 291 ± 21, and 804 ± 53 Pa, respectively. Crosslinking degrees of the hydrogels also affected the secondary structures of the keratose films obtained from the drying of the hydrogels. The hydrogel with the highest crosslinking density (1:4 gel) exhibited the lowest swelling ratio, whereas the one with the lowest crosslinking density (1:1 gel) disintegrated in deionized water within less than 6 h. CCK-8 tests using L929 mouse fibroblast cells showed that all the hydrogels promoted cell proliferation. These results suggest THPC crosslinked hydrogels prepared at the millimolar THPC concentrations are biocompatible scaffolds, which can be utilized in drug delivery and tissue engineering applications. Graphical abstract: [Figure not available: see fulltext.]Master Thesis Development of Keratin Based Hydrogel Systems(Izmir Institute of Technology, 2022) Yalçın Göl, Damla; Top, AybenIn this study, keratin proteins from Merino sheep wool were obtained via oxidative extraction (Chapter 2), sulfitolysis extraction (Chapter 3) and sulfitolysis with reductive extraction methods (Chapter 4). Keratin proteins were characterized XRD and FTIR spectroscopy and thermal analysis. In the SDS-PAGE gel results of the keratins diffusive protein bands between ~23 kDa and >170 kDa and a discrete band at about 12 kDa were observed confirming highly polydisperse nature of the protein samples. Then, keratin-based hydrogel systems were obtained via different methodologies. In Chapter 2, oxidized keratins (keratoses) were crosslinked with THPC to form keratose hydrogels. Effect of the amount of the crosslinking agent on the viscoelastic, swelling, and morphological properties of hydrogels was investigated. In Chapter 3, the keratin hydrogels were obtained via reformation of disulfide bridge and self-assembly of the keratin chains. In Chapter 4, keratins reduced with DTT were crosslinked with 2000 Da PEG-(C2H4-mal)2 and 6000 Da PEG-(C2H4-mal)2 to prepare PEG-hydrogels. Storage moduli of the hydrogels were obtained in the range of 63 ± 22 and 2613 ± 254 Pa and were shown to be tuned by the amount and chain length of the crosslinker. The highest swelling ratios were obtained for the THPC crosslinked hydrogels whereas the highest pore size was observed in PEG-keratin hydrogels. Cytocompatibility of the keratin based hydrogel systems was confirmed using L929 mouse fibroblast cells by applying CCK-8 tests. Of these hydrogels, PEG-keratin hydrogels were found to support cell proliferation with a higher rate than empty TCPS wells up to 4 days. These results demonstrate that low-cost keratin-based hydrogels can be used in a variety of biomedical applications, such as drug delivery systems for cancer therapy, and scaffolds in wound healing and soft tissue engineering.