Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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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.Review Citation - WoS: 16Citation - Scopus: 17Green Biohydrogen Production From Renewable Plant-Based Resources: a Comparative Evaluation(Institution of Chemical Engineers, 2024) Goren,A.Y.; Gören, Ayşegül Yağmur; Dincer,I.; Khalvati,A.Increasing energy demand drives the need for environmentally sustainable and economically viable renewable resources to eliminate problems related to greenhouse gas emissions. In recent years, research on biohydrogen (bio-H2) production as a renewable energy source has been recognized as a potential subject. It aims to reduce the pressures set by carbon dioxide emissions and the depletion of fossil fuel supplies. The field of bio-H2 science is considered potentially important; there have been increasing efforts to develop feasible systems for viable applications. This review further presents an updated and comprehensive review of bio-H2 production by dark fermentation (DF), photofermentation (PF), microbial electrolysis cells (MEC), and hybrid processes using plant-based materials. Among these processes, the highest H2 production yield of 680.8 mLH2/g-biomass was obtained using the DF-PF hybrid process. A comparison of bio-H2 production yields, the environmental impact, and the costs of DF, PF, MEC, and hybrid systems is considered, and superior performance was obtained for integrated biological processes. The comparative evaluation results showed that the MEC process is the most economical technology, followed by integrated systems. The PF is the most environmentally friendly H2 production process, presenting the lowest global warming potential (GWP) value of 1.88 kgCO2eq./kgH2 and acidification potential (AP) of 3,61 gSO2/kgH2 ; it is followed by DF and MEC processes. On the other hand, the highest GWP of 14.8 kgCO2eq./kgH2 and AP 103 gSO2/kg H2 were obtained for the DF-MEC process related to electrical and heat requirements during the production process. Furthermore, the WCP and WSF values were 84.5 and 3632.9 m3 for the DF-MEC integrated process due to the water utilization in anode and cathode solutions, while WCP was 2.91 m3 for the DF process. Overall, the results of this study further revealed that substantial effort, in the current and future, should be performed on bio-H2 production from plant-based biomass using integrated biological processes. Moreover, the bibliometric analysis presented that bio-H2 production from plant-based materials, MEC systems utilization, and nano-additives are growing areas in the bio-H2 research that provide zero-carbon energy in the future. © 2024 The Institution of Chemical EngineersArticle Citation - WoS: 4Citation - Scopus: 5Experimental Investigation of a Unique Electro-Biomembrane Based Integrated System for Wastewater Treatment and Simultaneous Clean Water, Hydrogen and Energy Production(Institution of Chemical Engineers, 2024) Goren,A.Y.; Dincer,I.; Khalvati,A.This paper concerns the design, development, and building of a unique electro-bio-membrane reactor for concurrent bioH2 production, desalination, and energy production by microorganisms in a single reactor. The effects of varying biomass amounts (5–50 g) and inoculum amounts (250–1500 mL) on the bioH2 production efficiency are also investigated. The lowest cumulative bioH2 yield of 24.2 mL/g is obtained using a biomass amount of 5 g, while it is 44.7 mL/g at a biomass amount of 50 g. The highest H2 production from water electrolysis is also found as 0.719 mL/min at improved conditions. Furthermore, the highest power and current density values are 2794.5 mW/m2 and 2786.1 mA/m2 at 1500 mL-inoculum, biomass amount of 30 g, initial pH of 5.5, and temperature of 37 °C in the dark fermentation (DF) cell. Moreover, the desalination efficiency increases from 41.6 to 65.8% with decreasing inoculum amounts from 1500 to 250 mL. © 2024 The Institution of Chemical EngineersArticle Citation - WoS: 11Citation - Scopus: 13Application of Pectin-Grape Seed Polyphenol Combination Restores Consistency and Emulsion Stability and Enhances Antioxidant Capacity of Reduced Oil Aquafaba Vegan Mayonnaise(Institution of Chemical Engineers, 2024) Büyük,M.; Ata,A.; Yemenicioğlu,A.The reduction of oil content causes dramatic loss of desired textural and rheological properties and emulsion stability of chickpea aquafaba vegan mayonnaise (AVM). This study aimed at restoring lost textural and rheological properties and boosting antioxidant capacity in reduced oil AVM by addition of citrus pectin (CP)-grape seed polyphenol extract (GSE) combination. The AVM formed by 60% sunflower oil (SFO) with 1% (w/w) CP-GSE combination (M60-CP-GSE) showed almost 14.0, 12.0, 13.0 and 2.6, 2.3, 1.2-fold greater firmness, consistency index and apparent viscosity than AVMs formed by 60% SFO (M60) or 60% SFO with 1% CP (M60-CP), respectively. The M60-CP-GSE did not show any phase separation by centrifugation while M60-CP and M60 showed limited and considerable phase separation by centrifugation, respectively. The D[4,3] particle sizes of emulsion droplets were 125, 14.7 and 54 nm for M60, M60-CP, and M60-CP-GSE, respectively. The fluorescence microscopic images showed that M60-CP-GSE contained the most densely packed emulsified oil droplets. The use of GSE gave brownish AVM color, but grape seed polyphenols boosted antioxidant activity of mayonnaise (54.72 µmol Trolox per ml). This work showed the good potential of CP-GSE combination to improve textural properties and antioxidant potential of reduced oil emulsion-based vegan foods. © 2024 Institution of Chemical Engineers (IChemE)Article Citation - WoS: 104Citation - Scopus: 107Poly(dopamine) Grafted Bio-Silica Composite With Tetraethylenepentamine Ligands for Enhanced Adsorption of Pollutants(Institution of Chemical Engineers, 2019) Arıca, Tuğçe Aybüke; Kuman, Merve; Gerçel, Özgül; Ayas, ErhanIn this study, diatomite fossil particles (i.e., bio-silica) was treated with strong acid solution and coated with polydopamine (bio-silica-PDA) using aqueous-based bioinspired coating method. The bio-silica-PDA was grafted with tetraethylenepentamine (TEPA) ligand to increase binding sites on the material surfaces. The biosilica-PDA-TEPA particles was characterized using Fourier-transform infrared spectroscopy (FTIR), Scanning electron microscope (SEM), X-Ray Diffraction (XRD) and Brunauer-Emmett-Teller (BET) method. The adsorption performance of the biosilica-PDA-TEPA particles was studied using a model dye (i.e., Direct Blue 74; DB-74) from aqueous solutions using biosilica-PDA as a control system. Batch system was used to optimize experimental conditions for the removal of DB-74 dye on the sorbents. The adsorption of DB-74 on the biosilica-PDA-TEPA particles was studied in the pH range of 2.0-8.0. The amount adsorbed DB-74 dye on the biosilica-PDA-TEPA was 363.3 mg g(-1) (using initial dye concentration 1200 mg L-1, pH 3.0 and temperature 25 degrees C). Adsorption of DB-74 dye on biosilica-PDA-TEPA particles fitted well Langmuir model. The equilibrium adsorption time was completed within 10 min and the experimental data was defined well by the pseudo-second-order model. In addition, the biosilica-PDA-TEPA particles presented a good performance after regeneration. This result show that the presented low-cost porous biosilica-PDA-TEPA particles can be a good candidate as a novel sorbent system for removal of micro-pollutants from wastewaters. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.