Şen, İlknur
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Sen, Ilknur
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ilknursen@iyte.edu.tr
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03.08. Department of Food Engineering
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Current Staff
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Sustainable Development Goals
1NO POVERTY
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2ZERO HUNGER
1
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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
1
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7AFFORDABLE AND CLEAN ENERGY
1
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8DECENT WORK AND ECONOMIC GROWTH
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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10REDUCED INEQUALITIES
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11SUSTAINABLE CITIES AND COMMUNITIES
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
1
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13CLIMATE ACTION
1
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14LIFE BELOW WATER
1
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15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
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17PARTNERSHIPS FOR THE GOALS
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6
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154
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6
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Scholarly Output
9
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7
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8181/6297
Supervised MSc Theses
1
Supervised PhD Theses
1
WoS Citation Count
144
Scopus Citation Count
154
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0
WoS Citations per Publication
16.00
Scopus Citations per Publication
17.11
Open Access Source
9
Supervised Theses
2
| Journal | Count |
|---|---|
| Akademik Gıda | 1 |
| American Journal of Enology and Viticulture | 1 |
| Food Chemistry | 1 |
| Food Control | 1 |
| Journal of Food Composition and Analysis | 1 |
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Article Aspergillus Sojae Tarafından Üretilen Poligalakturonazın Kısmi Saflaştırılması için Kromatografik Bir Yaklaşım(Sidas Medya Ajans Tanıtım Danışmanlık Ltd. Şti., 2017) Şen, İlknur; Mata-Gomez, Marco A.; Palomares, Marco Rito; Tarı, Canan; Dinç, MelikeBu çalışmanın amacı, A. sojae mutantından poligalakturonaz üretilmesi ve ham ekstraktın kromatografik yöntemlerle kısmi saflaştırılmasıdır. Peptitlerin konfirmasyonu için ilk basamak olarak, jel içinde sindirilmiş sodyum-dodesil-sülfatpoliakrilamid-jel-elektroforezi (SDS-PAGE) jellerinde matriks-yardımlı lazer desorpsiyon/iyonlaştırmalı-uçuş zamanlıkütle spektrometresi (Maldi-TOF MS) analizi yapılmıştır. Poligalakturonaz üretimi için, katı-faz ve derin fermentasyonlarda üç farklı karbon kaynağı kullanılmıştır. Ham ekstrakt ilk olarak iyon değişim kromatografisi (IEXC) ile saflaştırılmıştır ve ardından bunu boyut eleme kromatografisi izlemiştir. Derin [acı portakal kabuğu, şeker pancarı melası ve (NH4)2SO4] ve katı-faz (buğday kepeği, şeker pancarı ve HCl) fermentasyonlarından elde edilen ham ekstraktlar yüksek seviyede poligalakturonaz enzim aktivitesi (sırasıyla 95.22 and 50.27 U/mL) göstermiştir. IEXC toplanmış fraksiyonunun (180, 200 ve 220 mM tuz fraksiyonları) boyut elemesi, en yüksek verimi (%36) ve saflaştırma katını (2.00) göstermiştir. SDS-PAGE'den elde edilen olası poligalakturonaz bantları jel içinde sindirilmiş ve peptit konfirmasyonu için Maldi-TOF-MS ile analiz edilmiştir.Master Thesis Spectroscopic Determination of Major Nutrients (n, P, K) of Soil(Izmir Institute of Technology, 2003) Şen, İlknur; Ertürk, HandanThe aim of this study was to determine the major soil nutrients (nitrogen, phosphorus and potassium) which mainly affect the raw material quality of food, using near infrared reflectance spectroscopy (1000-2500 nm). Genetic inverse least squares and partial least squares were used to predict the concentrations of major soil nutrients.The soil samples, collected from Menemen Application and Research Farms, were prepared for the near infrared analysis by using two different methods. According to the first method, two experiments were performed. The soil samples of which were oven dried and screened through a 2 mm sieve, were mixed with NPK fertilizer in the concentration range of 1-15% (wt/wt) (first experiment), and with NH4NO3 and TSP fertilizers in the concentration range of 0.075-0.3% (wt/wt) (second experiment). Using genetic inverse least squares method, regression coefficients of 0.9820, 0.9779 and 0.9906 were obtained for the prediction of nitrogen, phosphorus and potassium concentrations in samples containing NPK fertilizer, respectively. In the second experiment, prediction of nitrogen concentration in samples containing NH4NO3 fertilizer was done reliable with a regression coefficient of 0.8409 using genetic inverse least squares method. On the other hand, regression coefficient of 0.6005 was obtained for the prediction of phosphorus concentration in samples containing TSP fertilizer with the same statistical method.The second method differed from the first one by eliminating the drying of soil samples and moisturizing step following the addition of fertilizers into soil samples. The aim was to prevent baseline shifts in the spectra arising from the moisture changes in the samples. Five types of fertilizer [KNO3, CaNO3, TSP, (NH4)2SO4, NPK] were used in the preparation of samples in the concentration range of 0.02-0.5% (wt/wt). Using genetic inverse least squares method, calibration models produced between the reflectance spectra and the nutrient concentrations had regression coefficients greater than 0.80, however the prediction ability of the models was poor (R2<0.50) except for the samples containing (NH4)2SO4 and NPK fertilizers. The regression coefficients for the prediction of nitrogen and sulfur concentrations in (NH4)2SO4 containing samples were found as 0.8620 and 0.8555, respectively. For the prediction of nitrogen, phosphorus and potassium concentrations in NPK containing samples, the regression coefficients were found as 0.6737, 0.7633 and 0.8724, respectively. The partial least squares method was also used for the prediction of nutrient concentrations in the samples prepared according to the second method. Except samples containing (NH4)2SO4 fertilizer, nitrogen, phosphorus and potassium amounts could not be predicted in the other samples using partial least squares method (R2<0.20). The regression coefficients obtained for the prediction of nitrogen and sulfur amounts in (NH4)2SO4 containing samples were 0.9301.An additional work was carried out with laboratory analyzed soil samples collected from several points of two agricultural fields in Menemen Application and Research Farms. Total nitrogen, extractable phosphorus and exchangeable potassium amounts were determined by Agricultural Engineering Department of Ege University according to the Kjeldahl method, Bingham method and ammonium acetate method, respectively.Predictions of these nutrient concentrations by genetic inverse least squares method were poor (R2< 0.20). Using partial least squares method, the nutrient concentrations could not be predicted (factor number . 0).The results of this study indicate that, near infrared reflectance technique provided rapid, non-destructive and simultaneous determination of nitrogen, phosphorus and potassium concentrations in soil- fertilizer mixtures depending on the sample preparation steps, fertilizer types and concentrations and multivariate calibration methods (genetic inverse least squares and partial least squares methods).Article Citation - WoS: 22Citation - Scopus: 23Characterization and Classification of Turkish Wines Based on Elemental Composition(American Society for Enology and Viticulture, 2014) Şen, İlknur; Tokatlı, FigenCommercial wines from 13 native and nonnative varieties in Turkey were analyzed for their elemental composition. Wines from four vintages (2006-2009) were analyzed by inductively coupled plasma with atomic emission spectrometry and mass spectroscopy (ICP-AES and ICP-MS) followed by multivariate statistics to study vintage, varietal, and regional differences. According to the partial least squares-discriminant analysis, wines from western regions could be discriminated with their higher Pb content. The red wines of two native grapes, Boǧazkere and Öküzgözü, were separated from the remaining varieties based on their high Ca and low B and Cu levels. Öküzgözü wines were different from Syrah and Cabernet Sauvignon wines. Similarly, native Emir wines showed differences from Muscat wines. The effective variables for discrimination analysis were natural minerals (Sr, Li, Al, Ba, and B) and minerals originating from agricultural activities, processing, or pollution (Ca, Cu, Mg, Co, Pb, and Ni). Characteristics of Turkish wines from native and nonnative grape varieties such as Cabernet Sauvignon, Merlot, Syrah, and Chardonnay were defined in terms of their mineral content for the first time.Article Citation - WoS: 27Citation - Scopus: 29Differentiation of Wines With the Use of Combined Data of Uv-Visible Spectra and Color Characteristics(Academic Press Inc., 2016) Şen, İlknur; Tokatlı, FigenUV-visible spectra and color parameters of monovarietal wines with orthogonal partial least square-discriminant analysis (OPLS-DA) were shown to be practical and rapid methods for classification purposes. Red and white wines from the 2006-2009 vintages were characterized in terms of color, anthocyanin content and UV-visible spectra. Syrah and Cabernet Sauvignon wines had high color density and intensity. Kalecik Karasi wines had the highest CIELab parameters and the lowest color density. Boğazkere and Öküzgözü wines showed similarities with respect to their high red color parameters and were distinct from other wines. Merlot, Syrah and Öküzgözü wines had the highest total anthocyanin content (61.9-55. mg/L as median values). White wines made from Chardonnay, Muscat and Emir grapes were found to have different color characteristics. The vintage-based discrimination of red wines was mostly apparent in total anthocyanin contents. Different UV wavelength regions were found to be effective in classification with respect to variety and vintage. Correct classification rates in the validation set were 100% and 75%, for varietal and vintage classifications, respectively. This study demonstrated the potential of combination of UV-visible spectra and color characteristics to be used in the authentication of wines.Article Citation - WoS: 15Citation - Scopus: 16Comparison of Some Chemical Parameters of a Naturally Debittered Olive (olea Europaea L.) Type With Regular Olive Varieties(Elsevier Ltd., 2014) Aktaş, Ayşe Burcu; Özen, Banu; Tokatlı, Figen; Şen, İlknurSome olives grown in Karaburun peninsula in the west part of Turkey and mostly coming from Erkence variety lose their bitterness while still on the tree and are called Hurma among locals. This olive type does not require further processing to remove the bitter compounds. In this study, sugar, organic acid and fatty acid profiles of Hurma, Erkence (not naturally debittered) and Gemlik (commonly consumed as table olive) olives were determined throughout 8 weeks of maturation period for two consecutive harvest seasons, and the results were analysed by principal component analysis (PCA). PCA of sugar and organic acid data revealed a differentiation in terms of harvest year but not on variety. Hurma olive is separated from others due to its fatty acid profile, and it has higher linoleic acid content compared to others. This might be an indication of increased desaturase enzyme activity for Hurma olives during natural debittering phase.Article Citation - WoS: 14Citation - Scopus: 17Phenolics Profile of a Naturally Debittering Olive in Comparison To Regular Olive Varieties(John Wiley and Sons Inc., 2014) Aktaş, Ayşe Burcu; Özen, Banu; Tokatlı, Figen; Şen, İlknurBACKGROUND: Hurma, an olive variety that grows in a specific area in Turkey, loses its bitterness before harvesting, and therefore does not need further processing steps for the production of table olives. The total phenol content and phenolic profiles of (1) this naturally debittered olive type, Hurma; (2) the same olive variety, but not a naturally debittered type, Erkence; and (3) another variety, Gemlik, which is commonly consumed as table olive, were determined during their maturation period for two harvest years. RESULTS: The total phenol content of Hurma is the lowest compared to the other types regardless of harvest year, which has a significant effect on the phenolic content and composition of individual components for all olive types. All three olive types can be differentiated from each other especially during the late phase of maturation using the phenolics profile in combination with principal component analysis. CONCLUSION: The natural debittering phenomenon of Hurma olive on the tree involves a decrease in phenol content and a change in phenol composition. The differentiation in phenol composition especially becomes very significant in the late of period of maturation.Article Citation - WoS: 39Citation - Scopus: 39Authenticity of Wines Made With Economically Important Grape Varieties Grown in Anatolia by Their Phenolic Profiles(Elsevier Ltd., 2014) Şen, İlknur; Tokatlı, FigenThe aim of this study was to characterize and compare the wines of main native and nonnative grape varieties grown in Turkey. The polyphenol compositions of red and white monovarietal wines of 11 grape varieties have been evaluated for four vintages (2006-2009). Discrimination of wines with respect to variety and vintage was studied by partial least square-discriminant analysis. Boǧazkere red wines were the highest and Kalecik Karasi{dotless} red wines were the lowest in total phenol content. Syrah wines were the highest in anthocyanin compounds. (+)-catechin and (-)-epicatechin contents of Cabernet Sauvignon, Merlot and Syrah wines were the highest, whereas those compounds were detected in lower amounts in native wines. For the case of white wines, the discrimination among Emir, Muscat and Sultaniye wines was based on hydroxycinnamic acids, flavan-3-ols and total phenol content. The vintage based discrimination of red wines was affected at most from malvidin compounds. White wines could also be discriminated according to their vintage based on the presence of quercetin-3- O-galactoside, vanillic acid and o-coumaric acid. The phenolic descriptors of wines can be used in the authentication of wines with respect to variety and harvest year. © 2014 Elsevier Ltd.Article Citation - WoS: 27Citation - Scopus: 30Combination of Visible and Mid-Infrared Spectra for the Prediction of Chemical Parameters of Wines(Elsevier Ltd., 2016) Şen, İlknur; Öztürk, Burcu; Tokatlı, Figen; Özen, BanuRapid and environmentally friendly methods for the prediction of chemical compositions have been an interest in the wine industry. The objective of the study was to show the potentials of combined use of visible and mid-infrared (MIR) spectroscopies to improve the prediction of various chemical compounds of wine as opposed to using mid-infrared range only. Wine samples of twelve grape varieties from two harvest years were analyzed. The chemical composition of wine samples was related to MIR and visible spectra using orthogonal partial least square (OPLS) regression technique. The prediction abilities were tested with crossvalidation and independent validation sets. The coefficient of determination of validation (R2 val) for anthocyanin compounds of red wines were between 0.76 and 0.90, and that for total phenol content was 0.90. Range of R2 val for glycerol, glycerol/ethanol ratio, malic acid, o-coumaric acid and °Brix were between 0.77 and 0.96. The spectral ranges that played significant roles in the predictions were also determined. The validations with independent data sets showed that the combination of visible and MIR ranges with multivariate methods improved the prediction of anthocyanin compounds and total phenols; produced comparable results for the rest of the parameters as MIR. This is the first study in the literature that shows the practical use of visible spectra along MIR. The combined use of these spectral ranges with multivariate models can be applied for the rapid, on-line determination of quality parameters and chemical profiles of wines.Doctoral Thesis Characterization and Classification of Wines From Grape Varieties Grovn in Turkey(Izmir Institute of Technology, 2014) Şen, İlknur; Tokatlı, FigenThe wines of Turkish grapes from four vintages (2006-2009) were classified according to variety, geographical origin and vintage based on their chemical composition (element, polyphenol, color, acid, sugar, alcohol, pH, total phenol and brix) by using multivariate statistical techniques. In the varietal classification of red wines, the partial least square-discriminant analysis (PLS-DA) demonstrated the discrimination of Boğazkere-Öküzgözü, Kalecik Karası, Syrah and Cabernet Sauvignon varieties from each other as the significant element, polyphenol, organic acid, sugar and alcohol parameters were combined in the model. Boğazkere and Öküzgözü wines of East Anatolia were characterized with their high coumaroylated anthocyanin derivatives, while Syrah wines of West Anatolia were rich in anthocyanins and flavonols. Kalecik Karası wines were the poorest in terms of total phenol content. In the classification of white wines, Emir wines of Kapadokya region were characterized with their high Li, Sr and resveratrol contents. Sultaniye wines were the lowest in polyphenol content and Muscat wines were the richest in hydroxycinnamic acids. The regional discrimination of red and white wines was achieved with the significant element and polyphenol compositions. The western region wines were characterized with their higher Pb content which may be due to the industrialization of West Anatolia. Moreover, red wines of Tekirdağ region were recognized with their low flavonol-glycoside contents. 2009 vintage red wines were characterized with their high anthocyanin and flavonol contents. In the same way, 2009 vintage white wines had higher flavonols, flavonol-glycosides, phenolic acids and flavan-3-ols.