Eseller, Kemal Efe

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Eseller, K. E.
K., Eseller
E.,Kemal Efe
Eseller, Kemal Efe
Eseller,K.E.
Kemal Efe, Eseller
K.E.Eseller
E., Kemal Efe
K.,Eseller
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Profesör Doktor
Email Address
efe.eseller@atilim.edu.tr
Main Affiliation
Department of Electrical & Electronics Engineering
Status
Former Staff
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Scholarly Output

20

Articles

12

Citation Count

335

Supervised Theses

5

Scholarly Output Search Results

Now showing 1 - 10 of 20
  • Master Thesis
    Data Analysis Software Development of Laser Induced Breakdown Spectroscopy (libs)
    (2021) Gundoz, Omer Abduljabbar Mohhammed Al; Eseller, Kemal Efe; Department of Electrical & Electronics Engineering
    Laser induced breakdown spectroscopy is a useful growing technique. The research's on LIBS is gaining importance in instrumentation and data analysis fields because it has a large number of applications in different fields especially in industrial, scientific investigation, medical, and many other fields .this study views a theoretical base of the libs technique as well as the setup of libs including new set up which are the portable libs set up which are getting more attention in recent works due to the ease of use and accurate results. From the analytical point of view, LIBS is usually characterized by direct laser ablation. And also the competition is made through a database which is explaining the different elements due to different wavelength and their intensities, which will refer in the end to the elements that the sample consist of: The database being used is coming from the laboratory with multiple experiences. also, this work will focus on detecting specific elements which are FE,CU,ZN,AL and MG. Key Words: laser, ablation, plasma, spectrometer, fiber optics, q.switch , lens
  • Article
    Citation - WoS: 25
    Citation - Scopus: 34
    Determination of Ca Addition To the Wheat Flour by Using Laser-Induced Breakdown Spectroscopy (libs)
    (Springer, 2016) Bilge, Gonca; Sezer, Banu; Eseller, Kemal Efe; Berberoglu, Halil; Koksel, Hamit; Boyaci, Ismail Hakki; Department of Electrical & Electronics Engineering
    The aim of the study was to determine Ca addition to the flour by using laser-induced breakdown spectroscopy (LIBS) as a quick and simple multi-elemental spectroscopy method. Different amounts of CaCO3-added wheat flour were analyzed using LIBS to determine Ca content and Ca/K ratio, which is used for discrimination of natural and Ca-added flour. LIBS spectra were quantitatively evaluated with partial least square (PLS) method as a multivariate data analysis method to eliminate the matrix effect. Ca and Ca/K calibration graphs of PLS method showed good linearity with coefficient of determinations (R (2)) 0.999. Limit of detection values for Ca and Ca/K analysis were calculated as 25.9 ppm and 0.013, respectively. Furthermore, the results were found to be consistent with the data obtained from atomic absorption spectroscopy method as a reference method for flour samples.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Blood Metal Analysis of Plasmas From Donors With and Without Sars-Cov Using Laser-Induced Breakdown Spectroscopy and Logistic Regression
    (Optica Publishing Group, 2024) Melikechi, Noureddine; Adler, Helmar G.; Safi, Ali; Landis, Joshua E.; Pourkamali-Anaraki, Farhad; Eseller, Kemal Efe; Xia, Weiming; Department of Electrical & Electronics Engineering
    Research on the correlation between metal levels in blood and Covid-19 infection has been conducted primarily by assessing how each individual blood metal is linked to different aspects of the disease using samples from donors with various levels of severity to Covid-19 infection. Using logistics regression on LIBS spectra of plasma samples collected pre- and postCovid-19 pandemic from donors known to have developed various levels of antibodies to the SARS-Cov-2 virus, we show that relying on the levels of Na, K, and Mg together is more efficient at differentiating the two types of plasma samples than any single blood alone.
  • Article
    Citation - WoS: 14
    Citation - Scopus: 16
    Performance Evaluation of Laser Induced Breakdown Spectroscopy in the Measurement of Liquid and Solid Samples
    (Pergamon-elsevier Science Ltd, 2018) Bilge, Gonca; Sezer, Banu; Boyaci, Ismail Hakki; Eseller, Kemal Efe; Berberoglu, Halil; Department of Electrical & Electronics Engineering
    Liquid analysis by using LIBS is a complicated process due to difficulties encountered during the collection of light and formation of plasma in liquid. To avoid these, some applications are performed such as aerosol formation and transforming liquid into solid state. However, performance of LIBS in liquid samples still remains a challenging issue. In this study, performance evaluation of LIBS and parameter optimizations in liquid and solid phase samples were performed. For this purpose,milk was chosen as model sample; milk powder was used as solid sample, and milk was used as liquid sample in the experiments. Different experimental setups have been constructed for each sampling technique, and optimizations were performed to determine suitable parameters such as delay time, laser energy, repetition rate and speed of rotary table for solid sampling technique,and flow rate of carrier gas for liquid sampling technique. Target element was determined as Ca, which is a critically important element in milk for determining its nutritional value and Ca addition. In optimum parameters, limit of detection (LOD), limit of quantification (LOQ) and relative standard deviation (RSD) values were calculated as 0.11%, 0.36% and 8.29% respectively for milk powders samples; while LOD, LOQ and RSD values were calculated as 0.24%, 0.81%, and 10.93% respectively for milk samples. It can be said that LIBS is an applicable method in both liquid and solid samples with suitable systems and parameters. However, liquid analysis requires much more developed systems for more accurate results. (C) 2018 Elsevier B.V.All rights reserved.
  • Master Thesis
    Optoelektronik Malzemelerin Analizi
    (2017) Alqurqash, Ayoob Yousıf Ahmed; Eseller, Kemal Efe; Department of Electrical & Electronics Engineering
    Optoelektronik, ışığın yayılımı ve algılanması LED'lerin, güneş pillerinin, transistörlerin, ve fotodetektörlerin yapısı ve üretimi ile ilgili olan bir anabilim dalıdr. Cihazların sentezlenmesinde kullanılan malzemeler, (Silikon, MWCNT, SWCNT ve Grafen) radyasyon ışığını elektriğe veya tersine dönüştürme kapasitesine göre değişim göstermektedir. Bu tez, optoelektronik sistemlerde özellikle karbondan (grafit, fulleren, CNT, MWCNT, SWCNT ve Grafen) üretilen malzemelerin kökenini temsil eden grafen materyalinde bulunan karbon nanotüp malzemelerin analizini incelemekte ve MWCNT'lerin istisnai özelliklerini vurgulamaktadır. MWCNT numunesi üzerindeki deneyler, güç lazeri (200mW, 100mW, 50mW) ve dalga boyu 532nm olan Raman spektrometresi kullanılarak gerçekleştirilmiştir.
  • Article
    Citation - WoS: 42
    Citation - Scopus: 49
    Ash Analysis of Flour Sample by Using Laser-induced Breakdown Spectroscopy
    (Pergamon-elsevier Science Ltd, 2016) Bilge, Gonca; Sezer, Banu; Eseller, Kemal Efe; Berberoglu, Halil; Koksel, Hamit; Boyaci, Ismail Hakki; Department of Electrical & Electronics Engineering
    Ash content is,a measure of total mineral content in flour. It is also an important quality parameter in terms of nutritional labeling as well as processing properties of various cereal products. However, laboratory analysis takes a long time (5-6 h) and results in considerable waste of energy. Therefore, the aim of the study was to develop a new method for ash analysis in wheat flour by using laser induced breakdown spectroscopy (LIBS). LIBS is a multi-elemental, quick and simple spectroscopic method. Unlike basic ash analysis method, it has the potential to analyze a sample in a considerably short time. In the study, wheat flours with different ash contents were analyzed using LIBS and the spectra were evaluated with partial least squares (PLS) method. The results were correlated with the ones taken from standard ash analysis method. Calibration graph showed good linearity with the ash content between 0.48 and 1.39%, and 0.992 coefficient of determination (R-2). Limit of detection for ash analysis was calculated as 0.026%. The results indicated that LIBS is a promising and reliable method with high sensitivity for routine ash analysis in flour samples. (C) 2016 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 4
    Laser Induced Breakdown Spectroscopy Based Diffusion Modelling in Cheese Matrix
    (Elsevier Sci Ltd, 2019) Sezer, Banu; Bilge, Gonca; Eseller, Kemal Efe; Berberoglu, Halil; Boyaci, Ismail Hakki; Department of Electrical & Electronics Engineering
    In the cheese industry, mass transfer of small solutes like salt during brining and ripening is extremely important for the quality of final products. In general, effective diffusion coefficient values have been reported in the studies using destructive concentration profile methods. This study aims to monitor NaCl diffusion in cheese by using laser induced breakdown spectroscopy (LIBS) as a nondestructive method to fulfill the requirement of measuring mass transfer properties of solutes in microscopic size complex heterogeneous structures. To this end, spherical shaped white cheese samples were brined in 16% salt solution for 5-210 min and overnight, and Na emission lines were monitored by scanning the cross-section of each sample at 30 points on the radial axis. As was expected, increasing brining time decreased the concentration difference between the center and edge of the cheese samples. Experimental results were fitted to Fick's Diffusion Equation. It was observed that NaCl distribution became uniform and equal at different locations of the cheese sample after 13.8 h. All these results have demonstrated that LIBS can be utilized for optimization of the brining conditions of cheese. Although the use of LIBS in this study was limited to parameter optimization, it can also be applied for real time monitoring of food processes due to its rapid and continuous measurement mode.
  • Book Part
    Citation - Scopus: 2
    Combustion Applications of Laser-Induced Breakdown Spectroscopy
    (Elsevier, 2020) Yueh,F.Y.; Tripathi,M.M.; Singh,J.P.; Sezer,B.; Eseller,K.E.; Department of Electrical & Electronics Engineering
    The laser-induced breakdown spectroscopy (LIBS) technique has the capability to perform multielemental, remote, online, in situ analysis with no/minimum sample preparations. LIBS has created a great deal of interest in combustion diagnostic research. In this chapter, LIBS capabilities in combustion diagnostics and monitoring engine and flame characteristics are investigated. © 2020 Elsevier B.V. All rights reserved.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Classification of Different Recycled Rubber-Epoxy Composite Based on Their Hardness Using Laser-Induced Breakdown Spectroscopy (libs) With Comparison Machine Learning Algorithms
    (Mdpi, 2023) Yilmaz, Vadi Su; Yılmaz, Vadi Su; Eseller, Kemal Efe; Aslan, Ozgur; Aslan, Özgür; Bayraktar, Emin; Eseller, Kemal Efe; Yılmaz, Vadi Su; Aslan, Özgür; Eseller, Kemal Efe; Electrical-Electronics Engineering; Mechanical Engineering; Department of Electrical & Electronics Engineering; Department of Electrical & Electronics Engineering; Mechanical Engineering; Electrical-Electronics Engineering; Mechanical Engineering; Department of Electrical & Electronics Engineering
    This paper aims toward the successful detection of harmful materials in a substance by integrating machine learning (ML) into laser-induced breakdown spectroscopy (LIBS). LIBS is used to distinguish five different synthetic polymers where eight different heavy material contents are also detected by LIBS. Each material intensity-wavelength graph is obtained and the dataset is constructed for classification by a machine learning (ML) algorithm. Seven popular machine learning algorithms are applied to the dataset which include eight different substances with their wavelength-intensity value. Machine learning algorithms are used to train the dataset, results are discussed and which classification algorithm is appropriate for this dataset is determined.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 6
    Comparison of Different Calibration Techniques of Laser Induced Breakdown Spectroscopy in Bakery Products: on Nacl Measurement
    (Springer, 2021) Bilge, Gonca; Eseller, Kemal Efe; Berberoglu, Halil; Sezer, Banu; Tamer, Ugur; Boyaci, Ismail Hakki; Department of Electrical & Electronics Engineering
    Laser induced breakdown spectroscopy (LIBS) is a rapid optical spectroscopy technique for elemental determination, which has been used for quantitative analysis in many fields. However, the calibration involving atomic emission intensity and sample concentration, is still a challenge due to physical-chemical matrix effect of samples and fluctuations of experimental parameters. To overcome these problems, various chemometric data analysis techniques have been combined with LIBS technique. In this study, LIBS was used to show its potential as a routine analysis for Na measurements in bakery products. A series of standard bread samples containing various concentrations of NaCl (0.025%-3.5%) was prepared to compare different calibration techniques. Standard calibration curve (SCC), artificial neural network (ANN) and partial least square (PLS) techniques were used as calibration strategies. Among them, PLS was found to be more efficient for predicting the Na concentrations in bakery products with an increase in coefficient of determination value from 0.961 to 0.999 for standard bread samples and from 0.788 to 0.943 for commercial products.