Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Özdemir, Akın(10)
- Kutlu, Naciye(9)
- Uçurum, Metin(7)
- Dertli, Enes(6)
- Tozlu, Alperen(5)
- Şahin, Engin(5)
- Serencam, Hüseyin(4)
- Teke, Çağatay(4)
- Özahi, Emrah(4)
- Bayram, Sinan(3)
- Ecem Bayram, Nesrin(3)
- Gerçek, Yusuf Can(3)
- Kamiloglu, Aybike(3)
- Kamiloğlu, Aybike(3)
- Ozdemir, Akin(3)
- Tayfur, Bilal(3)
- Yilmaz, Mustafa Tahsin(3)
- Çelik, Saffet(3)
- Abdioglu, Murat(2)
- Abuşoğlu, Ayşegül(2)
- Can, Zehra(2)
- Daloğlu, Ayşe T.(2)
- Kara, Yakup(2)
- Karaali, Rabi(2)
- Muslu, Asli(2)
- Ozkat, Erkan Caner(2)
- Ozturk, U. Kemal(2)
- Abca, Tuğba Elbir(1)
- Aksuoğlu, Selmani(1)
- Alamoudi, Mohammed(1)
- Alidrisi, Hassan M.(1)
- Altuncu, Fatma Kübra(1)
- Arici, M.(1)
- Arslantürk, Cihat(1)
- Açikyildiz, Metin(1)
- Baluken, Pınar(1)
- Baslar, Mehmet(1)
- Bayram, Nesrin Ecem(1)
- Baştürk, Fatma Nur(1)
- Bekar, Fevzi(1)
Yayınlar
- MakaleYalnız künye2023Scopus SJRQ2Optimization of microwave-assisted biosynthesis of silver nanoparticle with tarragon extract
Altuncu, Fatma Kübra; Kamiloğlu, Aybike
Response surface method was used to optimize microwave-assisted silver nanoparticle production with tarragon extract. As a result of the optimization study, tarragon silver nanoparticles (TAgNPs) were produced from 43 conditions with a degree of desirability of 1, with a processing time of 5.25 min, AgNO3 concentration of 9.89 mM, and tarragon extract concentration of 14.80%. Among the variable parameters, AgNO3 concentration affected TAgNP synthesis depending on processing time and tarragon extract concentration; tarragon extract concentration was found to significantly affect nanoparticle formation. TAgNP produced under optimum conditions was found to be crystalline, with a spherical surface morphology and an average particle size of 16.56 nm, with scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction diffractometry (XRD) analyses. TAgNPs showed inhibitory effect for Escherichia coli BC 1402, Bacillus cereus BC 6830, Salmonella typhimurium RSSK 95091, Yersinia enterocolitica ATCC 27729, and Staphylococcus aureus ATCC 25923 microorganisms. The minimum inhibition concentrations were 10 µg/mL for B. cereus BC 6830, 50 µg/mL for E. coli BC 1402, S. typhimurium RSSK 95091, and Y. enterocolitica ATCC 27729, and 25 µg/mL for S. aureus ATCC 25923.
AtıfScopus2WoS2OpenAlex2
İncele - MakaleAçık Erişim2023Scopus SJRQ2Utilization of Response Surface Methodology in Optimization of Proline Extraction from Castanea sativa Honey
Ecem Bayram, Nesrin; Kutlu, Naciye; Can Gercek, Yusuf
Proline constitutes approximately 85 % of the amino acid composition of honey. Therefore, the quantitative determination of this amino acid in honey samples is used by many national/international authorities to evaluate the quality of honey types. In this study, it was aimed to achieve maximum proline amino acid extraction from honey samples whose botanical origins were confirmed by melissopalynological analysis. For this reason, based on three different spectrophotometric methods used in the literature for proline analysis, proline extraction was optimized with the Response Surface Method (RSM) and Box-Behnken experimental design. Three independent variables were determined as treatment time (2, 6, and 10 min), treatment temperature (22, 46, and 70 °C), and cooling time (5, 25, and 45 min). As a result of the optimization, it was seen that only significantly effective independent variable on the proline content of honey was the processing temperature. The optimum conditions obtained as a result of the RSM were found to be 2 min for the treatment time, 70 °C for the treatment temperature and 45 min for the cooling time. The composite desirability of the optimum conditions (R2) was found to be 1.00. It was determined that the method proposed by International Honey Commission (IHC) is efficient for proline analysis, but it provides more proline extraction by reducing of time from 10 min to 2 min in hold time in boiling water bath only during the extraction step. As a result, the conditions to be used in order to achieve maximum proline extraction with different spectrophotometric methods were determined and optimum values were determined. In addition, since the botanical origin of honey samples significantly affects the proline content of honey, it can be suggested that this study be optimized for different monofloral honey samples as well.
AtıfScopus7WoS4OpenAlex8
İncele - Yüksek Lisans TeziAçık Erişim2022Kahve çekirdeği ekstraktı ile selenyum nanopartikül üretimi
Pınar Baluken
Nanopartiküller, üstün özelliklerinden ve sunduğu birçok avantajdan dolayı günümüzde en çok çalışma yapılan alanlardan biri haline gelmiştir. Düşük maliyetli, toksik olmayan, çevre dostu ve üretilmesinde hiçbir kimyasal madde gerektirmeyen bir yeşil sentez yöntemi kullanılmaktadır. Yapılan bu çalışmada, yeşil kahve çekirdeğinden bazı biyoaktif bileşiklerinin ekstraksiyonunda Box-Behnken deney tasarımı kullanılarak yanıt yüzey yöntemiyle optimize edilmiş ve optimize edilen koşullarda elde edilen ekstrakt kullanılarak mikrodalga destekli selenyum nanopartikül üretimi gerçekleştirilmiştir. Üretilen selenyum nanopartiküllerin 350-400 nm arasında absorbans gösterdiği tespit edilmiştir. Nanopartiküllerin yüzey morfolojisi ve boyutu transmisyon elektron mikroskobu (TEM) ile belirlenmiştir ve küresel yapılı yaklaşık 100 nm olan nanopartiküller üretilmiştir. FTIR analizi ile indirgemeye etki eden fonksiyonel gruplar belirlenmiştir. Ayrıca üretilen selenyum nanopartiküllerin amorf (düzgün olmayan) yapıda olduğu ve yüksek sıcaklıklarda stabilitesini koruyabildiği belirlenmiştir.
- Yüksek Lisans TeziAçık Erişim20222-Metil-1-fenilpropan-1-on'un Lactobacillus fermentum by35 biyokatalizör ile asimetrik biyoindirgenmesinde I-optimal tasarıma dayalı model kullanılarak reaksiyon koşullarının optimizasyonu
Selmani Aksuoğlu
Prokiral ketonların biyolojik olarak indirgenmesi, biyolojik olarak aktif birçok bileşik ve doğal ürün üretmek için potansiyel olarak faydalı öncüler olan kiral ikincil alkollere verimli erişim sağlar. Bu biyolojik indirgeme işlemi, Laktik Asit Bakteri suşları gibi tüm hücreli biyokatalizörler kullanıldığında farklı parametrelerden etkilenebilir. Bu bağlamda, bu tez çalışmasında, 2-metil-1-fenilpropan-1-on'un asimetrik biyo-indirgenmesi için gereken pH, inkübasyon süresi, sıcaklık ve karıştırma hızı gibi kültür parametrelerini optimize etmek için I-optimal tasarım tabanlı bir model kullanılacaktır. Lactobacillus fermentum BY35, en yüksek dönüşüm oranını (cr) ve enantiyomerik aşırılığı (ee) elde etmek için bir biyokatalizör olarak kullanıldı. Önerilen optimizasyon model kullanılarak, dört kültür parametresinin optimum değerleri: pH 6.5, sıcaklık 25 °C, inkübasyon süresi 38,5 saat, karıştırma hızı 200 rpm dir. Bu şartlar altında ee değeri %98,78 ve cr değeri %98,92 olarak önerildi. Bu optimizasyon şartları altında yapılan deneysel çalışma sonucunda cr ve ee değerleri sırasıyla> %99 ve> %99 olarak bulunmuştur. Bu sebeple, optimizasyon modelinin sonuçları, deneysel sonuçlar ile tutarlıdır. Ayrıca, bu tez çalışmasında, asimetrik indirgeme için önerilen I-optimal tasarım tabanlı model kullanarak kültür parametrelerini optimize eden ilk çalışmadır ve asimetrik indirgenme reaksiyonlarında bu metodun kullanılabileceği gösterilmiştir.
- Yüksek Lisans TeziAçık Erişim2022Çelik kule yapıların gerilme yığılması etkisi altında parçacık sürü optimizasyonu ve ateş böceği algoritması ile optimum tasarımı
Elif Yılmaz
Çelik yapılara olan rağbet gün geçtikçe artmaktadır. Çelik yapıların betonarme yapılara göre maliyeti yüksektir. Bu nedenle daha az maliyetle çelik yapı üretmek gerekmektedir. Son yıllarda yapay zekaya dayalı optimizasyon teknikleri gün geçtikçe artmaktadır. Mühendislik problemlerinin çözümünde de kullanılan yapay zeka maliyeti düşürerek optimum sonuç vermektedir. İmalat sonrası çekme çubuklarında meydana gelebilecek yorulmaya veya malzeme kusurlarına (parçalardaki boşluklar, eleman üzerindeki ani kesit değişikliği, çentik veya delik gibi sebepler) bağlı olarak malzeme sürekliliği bozulabilmektedir. Malzeme sürekliliğinin bozulduğu noktalarda gerilmeler normal değerinden uzaklaşıp maksimum seviyeye ulaşmaktadır. Bu durum gerilme yığılması olarak adlandırılmaktadır. Gerilme yığılmasının ortaya çıktığı elemanlarda gerilme durumu karmaşık olabilmektedir. Bu karmaşıklığı sadece basit eğilme ya da basınç, basit burulma ve basit eğilme yöntemleri ile çözmek mümkün olmayabilir. Bu durumda gerilme yığılması faktörü olan K katsayısı hesaplara dahil olmaktadır. Bu çalışmanın amacı farklı yıllarda geliştirilen sezgisel iki algoritmanın optimizasyon işlemi üzerindeki etkinliğini test etmektir. Bunun için sezgisel optimizasyon algoritmalarından 1995 yılında geliştirilen parçacık sürü optimizasyonu (PSO) ve 2009 yılında geliştirilen ateş böceği algoritması (FFA) kullanılmıştır. Optimizasyon işlemi için literatürde farklı algoritma teknikleri ile optimize edilmiş 25 elemanlı, 72 elemanlı ve 582 elemanlı uzay kafes kule yapıları ile 52 elemanlı düzlem kafes kule yapısı kullanılmıştır. Optimizasyon işleminde bulunan sonuçlar bu örneklerin farklı algoritma teknikleri ile optimize edildiği çalışmalarla karşılaştırılmıştır. Daha sonra en yüksek gerilme kapasitesine sahip elemanda çentik olduğu düşünülerek bu elemana ait gerilme değeri gerilme yığılması katsayısı K ile çarpılıp optimizasyon işlemi yeniden yapılmış ve sonuçlar tablolarla sunulmuştur. Anahtar kelimeler: Optimizasyon, parçacık sürü optimizasyonu, ateş böceği algoritması, gerilme yığılması, çelik kule.
- MakaleAçık Erişim2022Scopus SJRQ1Optimization of Asymmetric Bioreduction Conditions of 2-methyl-1-phenylpropan-1-one by Lactobacillus fermentum BY35 Using I-Optimal Design-Based Model
Aksuoğlu, Selmani; Özdemir, Akın; Serencam, Hüseyin; Dertli, Enes; Şahin, Engin
The bioreduction of prochiral ketones offers efficient access to chiral secondary alcohols, which are potentially beneficial precursors for producing many biologically active compounds and natural products. This bioreduction process can be affected by different parameters when whole-cell of biocatalysts such as Lactic Acid Bacteria strains are applied. In this context, this paper proposed an I-optimal design-based model to optimize culture parameters such as temperature, pH, incubation period, and agitation speed for asymmetric bioreduction of 2-methyl-1-phenylpropan-1-one (1) with Lactobacillus fermentum BY35 as a biocatalyst while achieving the highest conversion rate (cr) and enantiomeric excess (ee). The optimum settings of the four culture parameters and the cr and ee values were found using the proposed optimization model as follows: pH = 6.5, temperature = 25 °C, incubation period = 38.5 h, agitation speed = 200 rpm, the ee value = 98.78%, and the cr value = 98.92%. After the validation of the process, the cr and ee values were found to be > 99% and > 99%, respectively, while using the optimum operating conditions from the optimization model. Thus, the results of the optimization model are consistent with the results of the validation experiment. It is also noted that this paper is the first to optimize culture parameters using the proposed I-optimal design-based model for an asymmetric reduction.
AtıfScopus3WoS3OpenAlex3İncele - MakaleYalnız künye2022Scopus SJRQ3Optimization of asymmetric reduction conditions of 2-bromo-1-(naphthalen-2-yl)ethanone by Enterococcus faecium BY48 biocatalyst with A-optimal design-embedded model
Özdemir, Akın; Şahin, Engin
Aromatic α-halohydrins, especially 2-haloethanols, which are a common pharmacological precursor, may be readily transformed to chiral β-adrenergic receptor blockers. Studies including the synthesis of (S)-2-bromo-1-(naphthalen-2-yl)ethanol ((S)-2), an α-halohydrin, in high conversion, enantiomeric excess (ee), and yield by biocatalytic asymmetric reduction of 2-bromo-1-(naphthalen-2-yl)ethanone (1) are still insufficient. Moreover, asymmetric reduction of substrate 1 using a mathematical optimization method is not explored in the current literature. In this article, the four asymmetric bioreduction conditions, which are (1) pH, (2) temperature, (3) incubation period, and (4) agitation speed, of substrate 1 were optimized to obtain (S)-2 with A-optimal design-embedded model in the presence of Enterococcus faecium BY48. Optimum bioreduction conditions were determined by the A-optimal design-embedded model as follows: pH = 7, temperature = 25°C, incubation period = 24 h, and agitation speed = 200 rpm. And then, it was suggested that (S)-2 could be obtained with 98.88% ee and 100% conversion rate (cr) under these optimum conditions. As a result of the experimental reaction performed under the optimization conditions suggested by the model, (S)-2 was obtained with 99% ee and 100% cr. The study revealed that E. faecium BY48 could be used as a biocatalyst in asymmetric reduction reactions. Also, the A-optimal design-embedded model could have the great potential to obtain the optimum asymmetric bioreduction conditions.
AtıfScopus3WoS3OpenAlex4İncele - MakaleAçık Erişim2022Scopus SJRQ1Optimization of Biocatalytic Production of Enantiopure (S)-1-(4-Methoxyphenyl) Ethanol with Lactobacillus senmaizuke Using the Box–Behnken Design-Based Model
Kavi, Mervenur; Özdemir, Akın; Dertli, Enes; Şahin, Engin
Enantiomerically pure (S)-1-(4-methoxyphenyl) ethanol is a significant molecule for the production of various drug intermediates. (S)-1-(4-methoxyphenyl) ethanol was synthesized from 4-methoxyacetophenone using Lactobacillus senmaizuke as a biocatalyst. In addition, optimization of experimental conditions is important to analyze the role of culture parameters for catalytic bioreduction reactions. For this particular purpose, the experimental conditions of pH, incubation period, temperature, and agitation speed were investigated with the Box–Behnken experimental design-based proposed optimization model. (S)-1-(4-methoxyphenyl) ethanol, which can be used for the synthesis of antihistamines, including diphenhydramine hydrochloride and loratadine cycloalkyl [b] indoles that have the treatment function for an allergic response, was obtained in > 99% conversion, > 99% enantiomeric excess and 96% yield with whole cells of L. senmaizukei at this optimization conditions: pH = 5.80, the temperature = 29 °C, incubation period = 50 h, and agitation speed = 155 rpm. The bioreduction of 4-methoxyacetophenone efficiency was importantly affected by the quadratic and linear effects of experimental design parameters. Besides, the results demonstrate the importance of design parameters for catalytic bioreduction reactions. It is also concluded that the results show the effectiveness of the Box–Behnken experimental design-based proposed model to obtain optimum operating conditions of design parameters for catalytic bioreduction reactions.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2022Scopus SJRQ1Optimization of Ultrasonic Extraction of Nutraceutical and Pharmaceutical Compounds from Bee Pollen with Deep Eutectic Solvents Using Response Surface Methodology
Çelik, Saffet; Kutlu, Naciye; Gerçek, Yusuf Can; Bayram, Sinan; Pandiselvam, Ravi; Bayram, Nesrin Ecem
In recent years, there has been increasing interest in green extraction methods and green solvents due to their many advantages. In this study, the effects of an ultrasonic extraction method and deep eutectic solvents (DESs) on the extraction of different bioactive substances from bee pollen were investigated. In this regard, the effects of process variables such as the molar ratio of the DES (1, 1.5, and 2), sonication time (15, 30, and 45 min), and ultrasonic power (90, 135 and 180 W) on total individual amino acids, total individual organic acids, and total individual phenolic compounds were investigated by response surface methodology (RSM). The optimal conditions were found to be a molar ratio of 2, sonication time of 45 min, and ultrasonic power of 180 W (R2 = 0.84). Extracts obtained via the maceration method using ethanol as a solvent were evaluated as the control group. Compared with the control group, the total individual amino acid and total individual organic acid values were higher using DESs. In addition, compounds such as myricetin, kaempferol, and quercetin were extracted at higher concentrations using DESs compared to controls. The results obtained in antimicrobial activity tests showed that the DES groups had broad-spectrum antibacterial effects against all bacterial samples, without exception. However, in yeast-like fungus samples, this inhibition effect was negligibly low. This study is the first to evaluate the impact of DESs on the extraction of bioactive substances from bee pollen. The obtained results show that this innovative and green extraction technique/solvent (ultrasonic extraction/DES) can be used successfully to obtain important bioactive compounds from bee pollen.
AtıfScopus33WoS28OpenAlex36İncele - MakaleYalnız künye2022Scopus SJRQ3Optimization of Ultrasound Extraction of Phenolic Compounds from Tarragon (Artemisia dracunculus L.) Using Box–Behnken Design
Kutlu, Naciye; Kamiloglu, Aybike; Elbir, Tugba
In this study, ultrasound extraction of bioactive compounds from tarragon was examined as a sustainable technology. Pure water, which is a green solvent, was used as solvent. Box–Behnken was used in the experimental design, and ultrasonic power, extraction time and solvent-to-sample ratio were determined to be independent variables. The physicochemical properties were determined by physical (color, pH, Brix) and chemical analyses (antioxidant activity, total flavonoid and total phenolic compound (TPC)) in the extracts obtained under different conditions. Optimum conditions were found to be 73.9% ultrasonic power, 43.2 min sonication time and 10 mL/g solvent-to-sample ratio. The composite desirability (R2) of optimum conditions was 99.3% after optimization. Since high efficiency was obtained in a short time with ultrasound extraction, it was found to be quite good in terms of energy savings. That is, the highest TPC was obtained with a sonication time of 45 min with this method, while similar TPC in the control group (maceration) was obtained in 24 h. In the optimum conditions, extraction with other green solvents (ethanol and deep eutectic solvent—DES) was carried out and bioactive compound yields were compared. For different solvents compared under optimum conditions, ethanol gave higher yields in terms of TPC, while higher yields were obtained in samples using water as solvent for some antioxidant activity values. The results obtained with DES were not as high as expected, and this resulted in the conclusion that a hydrogen bond donor is not suitable for obtaining bioactive compounds from tarragon.
AtıfScopus9WoS9OpenAlex9İncele - MakaleAçık Erişim2022Scopus SJRQ2Optimization of ohmic heating-assisted osmotic dehydration as a pretreatment for microwave drying of quince
Kutlu, Naciye
In this study, the ohmic heating system was used as a novel application for osmotic dehydration of quince. After osmotic dehydration, samples were dried by microwave. In this regard, the effects of process variables such as electrical field strengths (20, 30 and 40 V/cm), holding time (10, 20 and 30 minutes), microwave power (90, 180 and 270 W) and sucrose concentration (0%, 25% and 50%) on dielectric constant, dielectric loss factor, rehydration ratios, total phenolic compounds and color values were investigated by response surface methodology (RSM). Optimum conditions were found as 40 V/cm electrical field strength, 30 min holding time, 16.67% sucrose concentration and 270 W microwave power. Total phenolic content, rehydration ratio, color differences and dielectric properties of the novel method were found to be higher than that of control. Moreover, Midilli and Wang & Sing models gave the superior fit to the moisture ratio data obtained during drying.
AtıfScopus44WoS36OpenAlex38İncele - MakaleAçık Erişim2022Scopus SJRQ2Applicability of Phenolic Profile Analysis Method Developed with RP-HPLC-PDA to some Bee Product
Kara, Yakup; Can, Zehra; Kolaylı, Sevgi
In this work, a reverse phase high-performance liquid chromatographic method (RP-HPLC) with photo diode array (PDA) at 4 different wavelengths (250, 280, 320 and 360) for the determination of some polyphenols in some bee products (honey, pollen, and propolis) is developed. The analyses were carried out on C18 column (250 mm x 4.6 mm, 5 μm; GL Sciences), and the gradient program was used with a mobile phase A reservoir with 70% acetonitrile and the B reservoir with 2% acetic acid. The HPLC method was founded that limit of detection was in the range 0.022-0.0908 μg/mL; the limit of quantification was in the range 0.074-0.3027 μg/mL, all calibration curves were linear R2>0.995 within the range, the recovery range was 91.43-111.37% for 10 ppm and 98.44-101.68% for 40 ppm and relative error levels 0.0330-0.0290 respectively. The developed method was applied to some bee products available on the Turkey market. The study aimed at phenolic profiles of the bee products extracts were revealed by using 25 phenolic standards. The proposed method was optimized, quickly, and simple validated by evaluating the linear range, the limits of detection and quantification, the accuracy, the precious, the repeatability, and recoveries suitable for the phenolic analysis. It is concluded that evaluated and the quantitative determination of the bee products can be made quickly and reliably with the optimized method.
AtıfScopus35WoS35OpenAlex41İncele - MakaleAçık Erişim2021Scopus SJRQ2Hybrid tabu search algorithm for weight optimization of planar steel frames
Tayfur, Bilal; Yilmaz, Hamid; Daloğlu, Ayşe T.
In this study, a hybrid metaheuristic algorithm called Hybrid Tabu Search (HTS) is proposed for the weight optimization of planar steel structures. The effectiveness of HTS lies in improving the initial conditions of a tabu search algorithm with a greedy search algorithm and a swap operator used in the phase of section selection. The effectiveness of the proposed method is tested and validated on three different benchmark examples. C♯ software is developed to perform the structural analyses. Numerical results obtained by using HTS showed that the proposed method achieved significantly lighter frame weights in most of the benchmark examples. When the method was examined in terms of computational efficiency, HTS was at a level that can compete with other algorithms examined within this study, although it did not provide a significant advantage.
AtıfScopus17WoS15OpenAlex15İncele - MakaleAçık Erişim2021Scopus SJRQ2An I-optimal experimental design-embedded nonlinear lexicographic goal programming model for optimization of controllable design factors
Ozdemir, Akin
Optimal experimental designs are effective offline quality improvement techniques used to enhance existing products and develop new products for a constrained design region. For some practical situations, I-optimal experimental designs may be the most suitable way to construct optimal experimental design points, by addressing prediction variance to generate a measure of prediction performance over the non-standard experimental design region. The purpose of this article is three-fold: (1) the I-optimality criterion is selected for minimizing the average prediction variance; (2) fitted mean and variance response models are found; and (3) a nonlinear lexicographic goal programming model incorporating an I-optimal experimental design is proposed to find the optimum settings of controllable design factors. Comparison studies and a numerical example are provided to illustrate the effectiveness of the proposed methodology for improvement of the quality of products.
AtıfScopus15WoS15OpenAlex16İncele - MakaleAçık Erişim2021Scopus SJRQ3Optimization of Extraction Parameters of Ethanol Extracts of Propolis Samples Using Artificial Neural Network and Moth-Flame Optimization Algorithm
Gurgen, Ayşenur; Serencam, Huseyin; Kara, Yakup; Can, Zehra; Ylldlz, Sibel
In this study, the optimum values of propolis ethanol extracts parameters were determined with the use of single and multi-objective optimization procedures. The euclidean distance approach was used in the multi-objective optimization process. Firstly, propolis was extracted using water with ethanol contents 40, 50, 60, 70 and 80% for 8, 10, 12, 16, 20 and 24 h. Then, total phenolic content (TPC) and ferric reducing antioxidant power (FRAP) activities of all extracts were determined. With the obtained data a prediction model was produced with the use of artificial neural networks (ANN), and optimization was performed using a moth-flame (MFO) algorithm. The best prediction models for the TPC and FRAP were observed in 2-5-1 and 2-5-1 network architecture with the mean absolute percentage error (MAPE) values, 5.126 and 2.451%, respectively. For maximum TPC, the extraction parameters were determined as ethanol content 57.5% and extraction time 13.56 h. To maximize FRAP, the optimized extraction parameters were ethanol content 72.03% and extraction time 18.04 h. The optimum extraction conditions for both maximum values of the studied assays were ethanol content 70.03% and extraction time 16.93 h. The study concluded that the integrated ANN and MFO algorithm system can be used in single and multi-objective optimization of extraction parameters. The established optimization model can save time, money, labor and energy.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2021Scopus SJRQ3A novel approach to finding optimum operating conditions of design factors for the grinding experiment
Uçurum, Metin; Özdemir, Akın; Teke, Çağatay; Tekin, İlker
The efficiency of grinding experiments is an important issue for many industries. In this paper, a central composite design-based methodology was proposed to investigate the four design factors that affect the particle sizes. The four design factors were specified as mill speed (% of Nc), ball filling ratio (fc), powder filling ratio (jb) and grinding time (min). Another important issue was how to obtain an optimum operating condition for four design factors. For this particular purpose, a novel dual response optimization model was proposed using the particle sizes (d 10, d 50, and d 90) and the span value concept. This proposed approach was compared to the desirability function-based optimization concept. The verification study of the experiment was also carried out. The results of the grinding experiment runs showed that the optimum operating conditions were mill speed 73.495% of Nc, ball filling ratio 0.354, powder filling ratio 0.157, and grinding time 70 min. In addition, d 10, d 50, and d 90 were found 3.31 µm, 12µm, and 45.6 µm, respectively. The span value was also found at 3.52.
AtıfScopus3WoS3OpenAlex4İncele - MakaleAçık Erişim2021Scopus SJRQ3A novel weighted mean-squared error optimization model to obtain optimal conditions of adsorption factors for a lead removal process
Özdemir, Akın; Teke, Çağatay; Serencam, Hüseyin; Uçurum, Metin; Gündoğdu, Ali
Lead (Pb) removal process from wastewater is an important issue to prevent health problems for people. For this particular purpose, a low-cost adsorbent may be beneficial for improving the adsorption capacity for the Pb removal process. The aims of this paper are four-fold. First of all, a D-optimal experimental design was selected to reduce experimental runs and its cost. Second, the effect of four adsorption design factors, stirring speed (rpm), adsorbent dosage (g), pH level, and initial metal concentration (ppm), was examined. Also, the yellow natural stone, which is from Bayburt, Turkey, was used as a cheap adsorbent for the Pb removal process from the solu-tion. Third, a novel weighted mean-squared error optimization model was developed to obtain optimal adsorption levels for adsorption factors. Besides, a verification study was conducted to verify the results of the adsorption experiment. Finally, the lead (Pb(II)) removal capacity of the yellow Bayburt stone was obtained to be 46.031 mg/g, and the results of the experiment from the proposed methodology showed a good performance for the removal study.
- MakaleYalnız künye2020Scopus SJRQ1Optimization of an adapted Kalina cycle to an actual municipal solid waste power plant by using NSGA-II method
Özahi, Emrah; Tozlu, Alperen
In this paper thermodynamic and thermoeconomic analyses and even optimization of a Kalina cycle (KC) which is adapted to an actual solid waste power plant with a 5.66 MW installed capacity are presented as an alternative solution which is utilized to produce additional power from the exhaust gas of the plant. Up to now there is almost no study related with an adapted KC to a typical municipal solid waste power plant, and also no study based on an optimization, thermodynamic and thermoeconomic analyses of such a system together. All these facts show the novelty of this study. Herein the waste heat with a temperature of 566 °C is utilized by the adapted KC. According to the analyses of the first and second law of thermodynamics on the system, it is deduced that the electricity of 954.6 kW can be produced with the exergy efficiency of 24.15%. Furthermore, this power production can be improved by using non-dominated sorting genetic algorithm method (NSGA-II) in MATLAB software program. According to the optimization study, the deviations of the net power output and the total cost rate are found to be +3.62% and −1.47 $/h, respectively for the cycle.
AtıfScopus45WoS36OpenAlex49İncele - MakaleAçık Erişim2019Scopus SJRQ2Modeling design parameters with taguchi experimental method for obtaining operating conditions for cu(Ii) removal through adsorption process
Serencam, Hüseyin; Özdemir, Akın; Teke, Çağatay; Uçurum, Metin
One of the environmental concerns deals with the removal process of pollutants in water and wastewater. In this paper, a removal process was used to eliminate pollutants in water and wastewater. The aim of this paper was to obtain an optimum adsorption condition for the highest metal ions adsorbed (MIA) mg/g. For this particular purpose, a Taguchi L18 design was conducted. In addition, the signal-to-noise ratio was analyzed for optimum adsorption levels. The analysis of variance was also performed to evaluate the effect of each adsorption condition on MIA (mg/g) values. Moreover, an optimization model was also proposed to find the best optimal setting of adsorption levels. Then, the confirmation tests were performed using optimum coded levels of the adsorption parameters for the verification purpose. The results of the experimental study showed a good performance that Cu(II) removal capacity was found to be 43.66 mg/g. To the best of our knowledge, this research is the first to study natural stone as an efficient, inexpensive and cheap adsorbent for the removal process.
AtıfScopus6WoS5OpenAlex6İncele - MakaleAçık Erişim2019Scopus SJRQ1Response surface optimization for a nonlinearly constrained irregular experimental design space
Ozdemir, Akin; Cho, Byung Rae
Finding optimum conditions for process factors in an engineering optimization problem with response surface functions requires structured data collection using experimental design. When the experimental design space is constrained owing to external factors, its design space may form an asymmetrical and irregular shape and thus standard experimental design methods become ineffective. Computer-generated optimal designs, such as D-optimal designs, provide alternatives. While several iterative exchange algorithms for D-optimal designs are available for a linearly constrained irregular design space, it has not been clearly understood how D-optimal design points need to be generated when the design space is nonlinearly constrained and how response surface models are optimized. This article proposes an algorithm for generating the D-optimal design points that satisfy both feasibility and optimality conditions by using piecewise linear functions on the design space. The D-optimality-based response surface design models are proposed and optimization procedures are then analysed.
AtıfScopus18WoS13OpenAlex16İncele