Sürdürülebilir Kalkınma Amaçları

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• MakaleYalnız künye2024Scopus SJRQ1/r/bayburt/11680
  A Novel Fuzzy Cumulative Sum Control Chart with an α-Level Cut Based on Trapezoidal Fuzzy Numbers for a Real Case Application

  Özdemir, Akın; Uçurum, Metin; Serencam, Hüseyin

  Statistical process control (SPC) is widely used to monitor production processes in many industries under certain conditions. When dealing with a quality characteristic for uncertainty, fuzzy numbers are used in the context of the statistical process control (SPC) to monitor a fuzzy production process. The aim of this paper is fourfold. One, a fuzzy X¯-R control chart with an α-level cut is used based on trapezoidal fuzzy numbers (TFNs) for detecting the large shifts in the fuzzy process mean. Second, a fuzzy cumulative sum (FCUSUM) control with an α-level cut based on TFNs is firstly developed for detecting the small shifts in the fuzzy process mean. Third, the fuzzy process capability indices (FPCIs) are presented to measure the fuzzy process performance. Finally, an ultra-fine calcite production process is controlled with both the fuzzy X¯-R control chart and the proposed FCUSUM control chart. The results of the fuzzy X¯-R control charts show that the fuzzy production process is in control, and large shifts in the fuzzy process mean were detected. On the other hand, the results of the FCUSUM charts show that the fuzzy production process is out of control, and small shifts in the fuzzy process mean were detected. FPCIs are also conducted, and the results of fuzzy Cpk indices show that the ultra-fine calcite production process is not capable of meeting specification limits.

  AtıfScopus7·WoS9·OpenAlex9

  İncele
• MakaleAçık Erişim2022Scopus SJRQ1/r/bayburt/13462
  Optimization 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.

  AtıfScopus3·WoS3·OpenAlex3

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• MakaleAçık Erişim2021Scopus SJRQ3/r/bayburt/13376
  Optimization 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.

  AtıfScopus1·WoS1·OpenAlex1

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• MakaleAçık Erişim2021Scopus SJRQ3/r/bayburt/13309
  A 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.

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  İncele
• MakaleAçık Erişim2020Scopus SJRQ1/r/bayburt/13161
  Diversity and functional characteristics of lactic acid bacteria from traditional kefir grains

  Purutoğlu, Kübra; İspirli, Hümeyra; Yüzer, Mustafa Onur; Serencam, Hüseyin; Dertli, Enes

  Traditional kefir grains were collected from distinct parts of Turkey, and their microbial profile was determined. A wide bacterial biota was observed formed by distinct lactic acid bacteria (LAB) in which Lactococcus lactis strains appeared to be dominant. Yeast species were also identified in kefir grains. Significant levels of antifungal and antibacterial activities were monitored in kefir isolates. All tested LAB produced an exopolysaccharide (EPS) containing glucose and galactose, and some strains formed a fructan-type EPS. Importantly, low levels of antibiotic resistance were observed among the kefir isolates.

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  AtıfScopus37·WoS32·OpenAlex44

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• MakaleYalnız künye2020Scopus SJRQ2/r/bayburt/12088
  Recovery of unburned carbonaceous matter (UCM) from sugar mill bottom ash

  Katircioglu-Bayel, Diler; Serencam, Hüseyin; Uçurum, Metin

  Millions of tons of coal fly and bottom ash are produced each year in many countries including Turkey. Coal combustion which is the main source of energy in sugar mill and many other industries produce massive quantities of waste. The present study aims to separate the unburned carbonaceous matter (UCM) from the bottom ash of Bor, Nigde-Turkey sugar plant has been studied using the mechanical flotation technique. For this purpose, the performances of three classical oils were investigated and then chemical parameters such as sodium silicate (Na2SiO3), collector (fuel-oil) and frother (pine-oil) were systematically examined by using Yates’ statistical technique. A product with 41.58% combustible grade at 87.44% recovery was obtained at 0 g/t sodium silicate, 7464 g/t fuel-oil, 888 g/t pine-oil, 15% pulp density, 1200 rpm impeller speed and natural pH. The results obtained from the experiments indicated that it was possible to enrich the bottom ash by using conventional flotation.

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• MakaleAçık Erişim2019/r/bayburt/15102
  Investigation of the use of green bayburt stones as adsorbent by statistical experimental design

  Serencam, Hüseyın; Uçurum, Metin

  The tuff type, which is defined as Bayburt Stone in Bayburt region, is frequently used as industrial raw material in the region. These stones consist of three different varieties; white, green and yellow. As it is known, in recent years, the use of low-cost and easy-to-supply natural raw materials as adsorbents for removing various pollutants from wastewaters has become a very important issue. In this context, the adsorbent characteristic of green Bayburt stone was investigated by using a Taguchi experiment design which is one of the statistical experimental design methods after milling to very small dimensions (d50=13.20 µm). In the experimental studies cobalt (Co) element was selected as a model heavy metal. The optimum adsorption parameter values of green Bayburt stone were determined as 7 for pH, 250 mg/L for initial metal concentration and 0,250 g for adsorbent dose. According to the findings, adsorption capacity of the adsorbent for Co(II) was calculated as qe = 60.16 (mg/g), and this value was found to be comparable with many studies in the literature.

  AtıfTR Dizin2

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• MakaleAçık Erişim2019/r/bayburt/14621
  Taguchi deney tasarımı kullanılarak uçucu kül ile ni (ıı) gideriminde bazı adsorpsiyon parametrelerinin etkinliğinin irdelenmesi

  Serencam, Hüseyın; Uçurum, Metin

  Bu çalışmada, önemli bir sanayi artığı olan Uçucu Külün, toksik bir ağır metal iyonu olarak bilinen Nikel(II)’in sulu çözeltiden adsorpsiyonunda rol oynayan önemli parametrelerden pH, ilk metal konsantrasyonu veadsorpsiyon süresi Taguchi deney tasarımı kullanılarak optimize edilmiştir. Adsorpsiyon deneyleri, L9 ortogonaldizaynına göre 9 adet deney yapılarak gerçekleştirilmiştir. Deney sonuçlarının değerlendirilmesinde varyansanalizi ve sinyal/gürültü oranı kullanılmıştır. Elde edilen sonuçlara göre en iyi uzaklaşma verimi (%); pH 6’da,180 ppm giriş konsantrasyonunda ve 30 dakika adsorpsiyon süresinde elde edilmiştir. Bu çalışma ile birlikte,Taguchi deney tasarımının adsorpsiyon çalışmaları için oldukça uygun bir deney tasarım metodu olduğu veuçucu külün sulu çözeltilerden ağır metal (nikel) gideriminde adsorplama kabiliyetinin iyi olduğu sonuçlarınaulaşılmıştır.

  AtıfOpenAlex11·TR Dizin9

  İncele
• MakaleAçık Erişim2019Scopus SJRQ2/r/bayburt/13549
  Modeling 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.

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  AtıfScopus6·WoS5·OpenAlex6

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• MakaleAçık Erişim2019Scopus SJRQ3/r/bayburt/13197
  Production of enantiomerically pure (S)-phenyl(pyridin-2-yl)methanol with Lactobacillus paracasei BD101

  Şahin, Engin; Serencam, Hüseyin; Dertli, Enes

  Asymmetric reduction studies of heteroaryl ketones, including phenyl(pyridin-2-yl)methanone in enantioselective form with biocatalysts are very few, and chiral heteroaryl alcohols have been synthesized generally in the small scale. In this study, seven bacterial strains have been used to produce the (S)-phenyl(pyridin-2-yl)methanol in high enantiomeric excess and yield. Among the tested strains, Lactobacillus paracasei BD101, was found to be the best biocatalyst for the reducing phenyl(pyridin-2-yl)methanone to the (S)-phenyl(pyridin-2-yl)methanol at gram scale. The asymmetric bioreduction conditions were systematically optimized using L. paracasei BD101, which demonstrated excellent enantioselectivity and high level of conversion for the bioreduction reaction. (S)-phenyl(pyridin-2-yl)methanol, which is an analgesic, was produced enantiomerically pure form in the first time on gram scale using a biocatalyst. In total, 5.857 g of (S)-phenyl(pyridin-2-yl)methanol in enantiomerically pure form (>99% enantiomeric excess) was obtained in 52 h with 93% yield using whole cells of L. paracasei BD101. Enantiomerically pure (S)-phenyl (pyridin-2-yl)methanol, which is an analgesic, was first produced in the gram scale using a biocatalyst with excellent ee (>99%) and yield (93%).

  AtıfScopus9·WoS7·OpenAlex9

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