Öztürk, Betül
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Ozturk, B
Oeztuerk, B.
Öztürk, B
Ozturk, Betuel
Ozturk, Betul
Oeztuerk, B.
Öztürk, B
Ozturk, Betuel
Ozturk, Betul
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04.01. Department of Chemistry
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Sustainable Development Goals
1NO POVERTY
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2ZERO HUNGER
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3GOOD HEALTH AND WELL-BEING
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4QUALITY EDUCATION
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5GENDER EQUALITY
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6CLEAN WATER AND SANITATION
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7AFFORDABLE AND CLEAN ENERGY
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8DECENT WORK AND ECONOMIC GROWTH
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
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10REDUCED INEQUALITIES
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11SUSTAINABLE CITIES AND COMMUNITIES
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
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13CLIMATE ACTION
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14LIFE BELOW WATER
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15LIFE ON LAND
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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13
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179
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6
Documents
12
Citations
179
Scholarly Output
10
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6
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1
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WoS Citation Count
139
Scopus Citation Count
166
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WoS Citations per Publication
13.90
Scopus Citations per Publication
16.60
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10
Supervised Theses
2
| Journal | Count |
|---|---|
| GIDA | 2 |
| Turkish Journal of Chemistry | 2 |
| Journal of Food and Drug Analysis | 1 |
| Journal of Near Infrared Spectroscopy | 1 |
| Olives and Olive Oil in Health and Disease Prevention | 1 |
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Article Citation - WoS: 63Citation - Scopus: 73Near Infrared Spectroscopic Determination of Olive Oil Adulteration With Sunflower and Corn Oil(Taiwan Food and Drug Administration, 2007) Özdemir, Durmuş; Öztürk, BetülDetermination of authenticity of extra virgin olive oils has become very important in recent years due to the increasing public concerns about possible adulterations with relatively cheap vegetable oils such as sunflower oil. This study was focused on the application of near infrared (NIR) spectroscopy in conjunction with multivariate calibration to identify the adulteration of olive oils. NIR transmittance measurements were made on pure olive oil and olive oil adulterated with varying concentrations (4-96%, v/v) of sunflower and corn oil in two sets of 26 binary and ternary mixtures. Multivariate calibration models were generated using genetic inverse least squares (GILS) method and used to predict the concentration of adulterants along with the concentration of olive oil in the samples. Over all, standard error of predictions ranged between 2.49 and 2.88% (v/v) for the binary mixtures of olive and sunflower oil and between 1.42 and 6.38% (v/v) for the ternary mixtures of olive, sunflower and corn oil.Publication Mikroşekillenmiş Atr-ır Orta Kızılaltı Spektroskopi Tekniği ile Kan Ölçüm Cihazı Üretilmesi(2018) Karabudak, Engin; Özçelik, Serdar; Ergün, Armağan; Öztürk, Betül; Keskin, Özge Sevin; Çımrın, DilekProjemizden Mert Koç isimli öğrencimiz yüksek lisans tezini başarı ile sunmuş ve mezun olmuştur. Proje ile ilgili çalışmalarına doktora öğrencisi olarak devam etmektedir. ? Mert Koç ve Engin Karabudak?a ait ?History Of Spectroscopy And Modern Micromachined Disposable Si ATR-IR Spectroscopy? isimli makale ?Applied Spectroscopy Reviews? adlı dergide yayınlanmıştır. (Etki faktörü: 2.826) ? Bu projenin çıktısı olarak geliştirilen cihaz sayesinde; doktoru kan ölçümlerinden önce ve sonra ayrı ayrı görmek ve randevu almak ihtiyacını bu ölçümler için gereksiz kılacaktır. Böylece tıp doktorlarının, laborantların ve hastaların harcadıkları zamanı azaltacak ve hastanelerin sağlıklı hizmet vermesine yardımcı olacak, böylece hastanelerdeki personel masraflarını da azaltacaktır. ? Daha ucuz ve daha kaliteli bir yöntem olduğu için tüm hastalara rutin uygulanacak, toplum ve çevre sağlığını artıracak ve herkese uygulandığı için hastalığın erken tanısı konusunda yardımcı olacaktır. ? Yeni bir teknoloji olduğu için sistemin yurtdışına da satılma potansiyeli vardır. Dolayısıyla Türkiye?nin teknoloji tüketen ülke durumundan teknoloji üreten ülke modeline geçmesine yardımcı olacaktır. Türkiye?nin biyomedikal alanında rekabet potansiyelini artıracaktır. ? Mevcut bilim insanlarımızın bilimsel birikimlerini teknolojiye dönüştürerek bu konuda bir kültür oluşmasına yardımcı olacaktır.Article Karanlık ve Aydınlıkta Depolanmış Ayvalık ve Memecik Çeşidi Natürel Zeytinyağlarının Spektroskopik Verilere Göre Kemometrik Sınıflandırılması(Gıda Teknolojisi Derneği, 2014) Öztürk, Betül; Dıraman, Harun; Özdemir, DurmuşBu çalışmada, Türkiye’nin zeytinyağı üretiminin % 65’ini oluşturan Ege bölgesinin hakim zeytin çeşidi olan Ayvalık ve Memecik yağ örneklerinin en yaygın spektroskopik yöntemler ile (FTNIR, FTIR-ATR, Excitation-Emission [EX-EM] ve Senkronize [SYN] şoresans Spektroskopisi) analiz edilerek sınışandırılması gerçekleştirilmiştir. Analiz edilen yağ örnekleri organik ve karışık çeşitlerden üretilen bir örnek dışında Kuzey Ege (Ayvalık çeşidi) (n=4) ve Güney Ege (Memecik çeşidi) (n=4) alt bölgelerinden alınmış toplam 9 adetten oluşmaktadır. Oda sıcaklığında PET şişeler içinde muhafaza edilen yağ örnekleri gün ışığına maruz bırakılan ve aluminyum folyo ile kaplanmış (karanlık) olarak iki gruba ayrılmıştır. Ayvalık ve Memecik çeşidi natürel zeytinyağlarının sınışandırılması en yaygın kullanılan kemometrik yöntemler ile (Temel Bileşen Analizi, PCA ve Aşamalı Kümeleme Analizi, HCA) gerçekleştirilmiştir. Ayvalık ve Memecik çeşitleri spektroskopik yöntemlerin sonuçları temelinde çeşit, orijin bölgesi ve işlem uygulamalarına (ışığa maruz kalma veya karanlıkta tutma gibi) göre dikkate değer bir şekilde sınışanmışlardır. Ayrıca, spektroskopik yöntemlerin natürel zeytinyağların sınışandırılmasında ve muhtemel depolama koşulları ve tağşiş konusunda ümitvar etkiler sergileyebileceği görülmüştür.Article Citation - WoS: 16Citation - Scopus: 19Application of Experimental Design on Determination of Aluminum Content in Saline Samples by Adsorptive Cathodic Stripping Voltammetry(TUBITAK, 2013) Yılmaz, Sinan; Öztürk, Betül; Özdemir, Durmuş; Eroğlu, Ahmet Emin; Ertaş, Fatma NilAdsorptive cathodic stripping voltammetric determination of aluminum at ng mL-1 levels in salt samples based on the metal complexation with Calcon (1-(2-hydroxynaphthylazo)-2 naphthol-4-sulfonic acid) and the subsequent adsorptive deposition onto a hanging mercury drop electrode was studied. Central composite design was used as a design method. Several chemical and instrumental parameters (pH, ligand concentration, deposition time, deposition potential, and complexing time) were involved in the experimental design. Analytical parameters such as repeatability, linearity, and accuracy were also investigated and the detection limit was found as 0.32 ng mL-1.Book Part Citation - WoS: 7Citation - Scopus: 14Olive Oil Adulteration With Sunflower and Corn Oil Using Molecular Fluorescence Spectroscopy(Elsevier Ltd., 2010) Öztürk, Betül; Arıkan, Aysun; Özdemir, DurmuşAdulteration of olive oil with cheaper substitutes such as sunflower and corn oil is a major concern for the public. Rapid analysis methods are required for a quick and easy screening of possible adulteration attempts. Fluorescence spectroscopy coupled with a genetic algorithm-based multivariate calibration method allows the determination of olive oil adulteration with sunflower and corn oil. Because the standard error of prediction values are all below 1.30% (w/w) for the ternary set, fluorescence spectroscopy can be used as a fast screening method for possible olive oil adulteration with cheaper vegetable oils. In addition, the genetic algorithm used in the genetic inverse least squares (GILS) method is able to select and extract the most relevant information to build successful calibration models that have high predictive ability for the independent test samples.Article Citation - WoS: 37Citation - Scopus: 41Determination of Olive Oil Adulteration With Vegetable Oils by Near Infrared Spectroscopy Coupled With Multivariate Calibration(SAGE Publications, 2010) Öztürk, Betül; Yalçın, Ayşegül; Özdemir, DurmuşThere has been growing public awareness about the health benefits of olive oil throughout the world in recent years, resulting in a significant increase in its consumption as part of the daily diet This demand has attracted fraudulent attempts to market olive oil which has been adulterated with cheaper oils. This study focuses on the near infrared (NIR) spectroscopic determination of adulteration of olive oil by vegetable oils using multivariate calibration. The binary, ternary and quaternary mixtures of olive, soybean, cotton, corn, canola and sunflower oils were prepared using a random design. The absorbance spectra of these synthetic samples were measured by a near infrared (NIR) spectrometer. A genetic algorithm-based variable selection algorithm, coupled with an inverse least squares multivariate calibration method (GILS) was used to build calibration models for possible adulterants and olive oil in the adulterated mixtures The correlation coefficients of actual versus predicted concentrations resulting from multivariate calibration models for the different oils were between 0 90 and 0.99 The results demonstrated that NIR spectroscopy in conjunction with the GILS method makes it possible to determine the adulteration of olive oils regardless of adulterant vegetable oils over a wide range of concentrations.Master Thesis Monitoring the Esterification Reactions of Carboxylic Acids With Alcohols Using Near-Infrared Spectrocopy and Multivariate Calibration Methods(Izmir Institute of Technology, 2003) Öztürk, Betül; Özdemir, DurmuşSimultaneous determination of mixtures of alcohols, acids, esters, and water using near-infrared spectroscopy (NIR) and four different multivariate calibration methods were realized. The four multivariate calibration methods were Genetic Inverse Least Squares (GILS), Genetic Regression (GR), Principle Component Regression (PCR), and Partial Least Squares (PLS). Four different esterification reactions were investigated. These are methyl acetate, ethyl acetate, propyl acetate, and butyl acetate.The sample set contains 40 ternary mixtures of these esterification processes. Duplicate measurements were done for each sample and 80 NIR absorbance spectra that cover the range from 4000 to 10000 cm.1 were obtained. Of these 80 spectra, 50 were used as calibration set, 30 were reserved for the prediction purposes. Several calibration methods were built for each component of each esterification reactions. Standard error of calibration (SEC) and standard error of prediction (SEP) were calculated for each calibration model and comparison of these four multivariate calibration methods was done.Article Bazı Kromatografik ve Spektroskopik Verilerin Kullanımı ile Gemlik Çeşidinden Üretilmiş Natürel Zeytinyağlarının Kemometrik Sınıflandırılması(Gıda Teknolojisi Derneği, 2014) Dıraman, Harun; Öztürk, Betül; Özdemir, DurmuşBu çalışmada, farklı yetiştirme yerlerinden sağlanan Gemlik zeytin çeşidine ait örnekleri (n=10) kromatografik ([GLC] Yağ Asidi [FA] ve [HPLC] Triaçil Gliserol [TAG] profilleri) ve spektroskopik (Excitation-Emission [EX-EM] şoresans Spektroskopisi) yöntemler kullanılarak analiz edilmiştir. Tek (Gemlik) çeşitten üretilen natürel zeytinyağlarının sınışandırılması en yaygın kullanılan kemometrik yöntemler ile (Temel Bileşen Analizi, PCA ve Aşamalı Kümeleme Analizi, HCA) gerçekleştirilmiştir. Gemlik çeşidinden oluşan örnekler (n=10) yağ asidi ve TAG profili temelinde yetiştirme bölgelerine göre (Ege, Marmara ve Akdeniz olarak) başarı ile sınışanmıştır. Ayrıca Gemlik çeşidi örnekleri için benzer sınışandırmayı Excitation-Emission [EX-EM] şoresans spektroskopi sonuçları da göstermiştir. Buna ek olarak, spektroskopik yöntemlerin natürel zeytinyağların sınışandırılmasında ümitvar etkiler sergileyebileceği görülmüştür.Doctoral Thesis Development of Genetic Algorithm Based Classification and Cluster Analysis Methods for Analytical Data(Izmir Institute of Technology, 2009) Öztürk, Betül; Özdemir, DurmuşIn this study genetic algorithm based classification and clustering methods were aimed to develop for the spectral data. The developed methods were completely achieved hybridization of nature inspired algorithm (genetic algorithms, GAs) to other classification or clustering methods. The first method was genetic algorithm based principal component analysis (GAPCAD), and the second was genetic algorithm based discriminant analysis (GADA). Both methods were performed to achieve the best discrimination between the olive oil and vegetable oil samples. The classifications of samples were examined directly from their spectral data obtained from using near infrared spectrometry, Fourier transform infrared (FTIR) spectrometry, and spectrofluorometry. The GA was used to optimize the performance of classification or clustering techniques. on training set in order to maximize the correct classification of acceptable and unacceptable samples or samples of dissimilar properties and to reduce the spectral data by wavelength selection. After GA optimization the classification results of training set were controlled by validation set. Lastly, the success of both algorithms was compared to the results of PCA and SIMCA.Article Citation - WoS: 16Citation - Scopus: 19Genetic Multivariate Calibration Methods for Near Infrared (nir) Spectroscopic Determination of Complex Mixtures(TUBITAK, 2004) Özdemir, Durmuş; Öztürk, BetülThe simultaneous determination of ternary mixtures of methylene chloride, ethyl acetate, and methanol using near infrared (NIR) spectroscopy and 4 different genetic algorithms based multivariate calibration methods was demonstrated. The 4 genetic multivariate calibration methods are genetic partial least squares (GPLS), genetic regression (GR), genetic classical least squares (GCLS) and genetic inverse least squares (GILS). The sample data set contains the NIR spectra of 63 ternary mixtures and covers the range from 900 to 2000 nm in 2 nm intervals. Of these 63 spectra, 42 were used as the calibration set, and 21 were reserved for the prediction purposes. Several calibration models were built with the 4 genetic algorithm based methods for each component that makes up the mixtures. Overall, the standard error of calibration (SEC) and the standard error of prediction (SEP) were in the range of 0.22 to 2.5 (% by volume (v/v)) for all the 4 methods. A comparison of genetic algorithm selected wavelengths for each component and for each method was also included.