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COAR Access Rights: open accessSubject: Kimya, Analitik

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Now showing 1 - 6 of 6
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    Article
    Citation - WoS: 7
    Citation - Scopus: 10
    Ann-Assisted Forecasting of Adsorption Efficiency To Remove Heavy Metals
    (Tubitak Scientific & Technological Research Council Turkey, 2019) Buaısha, Magdi; Balku, Şaziye; Yaman, Şeniz Özalp; Özalp Yaman, Şeniz
    In wastewater treatment, scientific and practical models utilizing numerical computational techniques suchas artificial neural networks (ANNs) can significantly help to improve the process as a whole through adsorption systems.In the modeling of the adsorption efficiency for heavy metals from wastewater, some kinetic models have been used such as pseudo first-order and second-order. The present work develops an ANN model to forecast the adsorption efficiency of heavy metals such as zinc, nickel, and copper by extracting experimental data from three case studies. To do this, we apply trial-and-error to find the most ideal ANN settings, the efficiency of which is determined by mean square error (MSE) and coefficient of determination (R2). According to the results, the model can forecast adsorption efficiency percent (AE%) with a tangent sigmoid transfer function (tansig) in the hidden layer with 10 neurons and a linear transferfunction (purelin) in the output layer. Furthermore, the Levenberg–Marquardt algorithm is seen to be most ideal for training the algorithm for the case studies, with the lowest MSE and high R2 . In addition, the experimental results and the results predicted by the model with the ANN were found to be highly compatible with each other.
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    Research Project
    Benzotellurodiazol Esaslı Yeni Anorganik-organik Melez Elektroaktif Monomerlerin Sentezi
    (2017) Cihaner, Atilla; Işık, Murat; Algı, Fatih
    Bu çalışmada benzotelluradiazol ve benzimidazol birim esaslı altı farklı elektron verici-alıcı- verici (V-A-V) monomerin sentezi, karakterizasyonu ve polimerizasyonu rapor edilmeye çalışılmıştır. Benzotelluradiazol esaslı V-A-V monomerleri başarı ile sentezlenememiş olsada benzimidazole esaslı V-A-V monomerleri başarılı bir biçimde sentezlenmiş, karakterize edilmiş ve elektrokimyasal olarak polimerleştirilmiştir. Benzotiyadiazol ve benzoselenadiazol türevleri gibi, tiyofen ve 3,4-alkilendioksitiyofen elektron verici birimleri ile birleştirilmiş benzimidazole birimleri içeren polimerler 1.50 eV ve 1.57 eV aralığında dar band aralığı değerlerine sahip olup dışarıdan uygulanan potensiyel altında elektrokromik özellikler göstermiştir. Diğer bir taraftan benzotelluradiazol türevleri için daha önceden literatürde rapor edilen sentez reçeteleri bu çalışmadaki benzotelluradiazol esaslı V-A-V monomerlerinin sentezinde çalışmamıştır. Malesef literatürde benzotiyadiazol veya benzoselenadiazol içerikli polimerlerin benzotelluradiazol içerikli polimerlerin dönüşümünde kullanılan sentez reçeteleri monomer ve oligomer sentezlerinde çalışmamıştır. Bunun yanında teorik çalışmalar benzotelluradiazol esaslı V-A-V tipi monomerlerin ve oligomerlerin oda sıcaklığında kararlı bileşikler olduğunu ve diğer elektron alıcı benzerleri ile karşılaştırıldığında daha düşük band aralıklı polimerler verebileceğini göstermiştir. Sonuç olarak benzotelluradiazol esaslı monomerler sentezleyebilmek için bilinen sentez reçetelerinin dışında yeni stratejilerin ve reçetelerin uygulanması gerekmektedir. Bu konu üzerindeki çalışmalar sürmektedir.
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    Research Project
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    Article
    Theoretical Investigation of Carbon Dioxide Capture by Aqueous Boric Acid Solution: a Termolecular Reaction Mechanism
    (2018) Kayı, Hakan
    Hitherto, boric is suggested and used as a promoter or catalyst for carbondioxide capture in various chemical absorption reactions, such as, absorptionby aqueous potassium carbonate solution to increase mass transfer rate. Butin this study, a single step termolecular reaction mechanism is suggested forthe chemical absorption of carbon dioxide directly by boric acid and water. Thereaction thermochemistry and reaction kinetics for termolecular mechanism areinvestigated by using density functional theory calculations at the B3LYP/6-31G(d)level of theory by taking into account of the implicit solvent effects of water throughthe polarizable continuum model and dispersion corrections. The findings obtainedfrom theoretical calculations indicate that it is possible to capture carbon dioxidewith boric acid in the form of B(OH)2OCOOH.
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    Article
    The Impact of Smoking on Inflammation Indices: a Cross-Sectional Study
    (2023) Demir, Canan; Demir, Mehmet Emin
    We aim to investigate the association between smoking and systemic inflammation index (SII), the platelet-to-lymphocyte ratio (PLR), and the neutrophil-to- lymphocyte ratio (NLR) which are derivated from whole blood count. A total of 188 individuals who admitted to organ transplant outpatient polyclinics as donor candidates were included in this retrospective cross-sectional study. Donor candidates were divided into two groups; smokers and non-smokers. SII, PLR, and NLR were formulated from their hemogram during the preparation for donation. Serum C-reactive protein, uric acid, and creatinine levels were also compared between the two groups. P<0.05 was assumed as statistically significant. Seventy-five of 188 individuals (39.9%) were smokers. Smokers were older compared to nonsmokers and the mean smoking longevity was 21.14±12.92 years. SII, NLR, PLR, and CRP levels were higher in the smokers (p=0.020, p=<0.001, p=<0.001, and p=0.038, respectively). Smoking longevity had an impact on SII, PLR, NLR, and CRP (all p<0.001). Serum creatinine (and estimated glomerular filtration rate) had correlated with smoking and regression analysis indicated smoking was associated with high levels of serum creatinine (r=0.323, p<0.001, and r2=104). Smoking was a predictor for high levels of uric acid (p<0.001, r2=0.093). Smoking is associated with an increased inflammation status driven by changes in the immune response. The basic inflammation indices SII, NLR, and PLR, which can be derivated from whole blood count, and additionally CRP may be useful in the assessment of the inflammation status of smokers.
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    Article
    Gold-Assembled Silica-Coated Cobalt Nanoparticles as Efficient Magnetic Separation Units and Surface-Enhanced Raman Scattering Substrate Lütfiye Sezen Yildirim1,, Murat Kaya2,∗,, Mürvet Volkan
    (Tubitak Scientific & Technological Research Council Turkey, 2019) Yıldırım, Lütfiye Sezen; Kaya, Murat; Volkan, Mürvet
    Magnetic and optical bifunctional nanoparticles that combine easy separation, preconcentration, and efficientSERS capabilities have been fabricated with high sensitivity and reproducibility through a low-cost method. Thesegold nanoparticles attached on magnetic silica-coated cobalt nanospheres (Co@SiO2 /AuNPs) display the advantageof strong resonance absorption due to gaps at nanoscale between neighboring metal nanoparticles bringing large fieldenhancements, known as “hot spots”. The prepared particles can be controlled by using an external magnetic field,which makes them very promising candidates in biological applications and Raman spectroscopic analysis of dissolvedorganic species. The magnetic property of the prepared particles lowers the detection limits through preconcentrationwith solid-phase extraction in SERS analysis. The performance of the prepared nanostructures was evaluated as a SERSsubstrate using brilliant cresyl blue (BCB) and rhodamine 6G (R6G) as model compounds. The solid-phase affinityextraction of 4-mercapto benzoic acid (4-MBA) using bifunctional Co@SiO2 /AuNPs nanoparticles followed by magneticseparation and the measurement of the SERS signal on the same magnetic particles without elution were investigated.Approximately 50-fold increase in SERS intensity was achieved through solid-phase extraction of 8.3 × 10 −6 M 4-MBAin 10 min.