Ünlütürk, Sevcan

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Name Variants
Unluturk, Sevcan Kucuk
Unluturk, Sevcan
Ünlütürk, S.
Ünlütürk, Sevcan Küçük
Unluturk, S. Kucuk
Ünlütürk, S. Küçük
Unluturk, S
Unluturk, S.
Ünlütürk, S
Job Title
Email Address
sevcanunluturk@iyte.edu.tr
Main Affiliation
03.08. Department of Food Engineering
Status
Current Staff
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
14
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
2
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
7
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
16
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
14
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
7
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
19
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
15
Research Products
CLIMATE ACTION13
CLIMATE ACTION
16
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
11
Research Products
LIFE ON LAND15
LIFE ON LAND
4
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

45

Citations

1452

h-index

22

Documents

38

Citations

1163

Scholarly Output

60

Articles

36

Views / Downloads

90415/25867

Supervised MSc Theses

10

Supervised PhD Theses

5

WoS Citation Count

1089

Scopus Citation Count

1349

Patents

0

Projects

13

WoS Citations per Publication

18.15

Scopus Citations per Publication

22.48

Open Access Source

43

Supervised Theses

15

JournalCount
Innovative Food Science & Emerging Technologies5
International Journal of Food Microbiology4
VTT Symposium (Valtion Teknillinen Tutkimuskeskus)2
GIDA2
Journal of Food Process Engineering2
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Scopus Quartile Distribution

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Scholarly Output Search Results

Now showing 1 - 10 of 60
  • Master Thesis
    Investigation of the Pyhsical and Chemical Properties of Milk Containing Antibiotics
    (Izmir Institute of Technology, 2008) Yıldız, Özge; Ünlütürk, Sevcan; Ünlütürk, Sevcan
    This work aimed to find a basic and rapid screening method for antibiotic residues in UHT whole cow.s milk. For this purpose an investigation was conducted to screen some physical (e.g. acidity, pH, density, freezing point and electrical conductivity), thermo-physical (e.g. melting temperature, heat of fusion, evaporation temperature and heat of evaporation) and chemical properties (e.g. fat%, protein%, lactose%, minerals%, SNF%) of antibiotic free milk and milk fortified by Penicillin G, Ampicillin, Tetracycline. We can able determine whether residue of antibiotics making any difference on these selected properties. Thermo-physical properties were measured by differential scanning calorimeter (DSC), (TA Instruments, USA) and chemical properties were determined by using Lactostar (Funke Gerber Inc., Berlin, Germany).Antibiotic residues were detected by Copan Milk Test, Penzyme Test and ROSA Test and by high performance liquid chromatography (HPLC) method for confirmation of screening tests. Due to some drawbacks of screening tests, liquid chromatography was required for confirmation of antibiotic residues in milk. HPLC method showed that average recoveries of spiked Penicillin G at 2, 4, 8 ppb, spiked Ampicillin at 2, 4, 8 ppb and spiked Tetracycline at 100, 250, 500 ppb were ranged from 44.67% to 66.00%, from 62.50% to 87.52% and from 92.86% to 94.35%, respectively.We found that the acidity, pH and density of milk were independent of Penicillin G, Ampicillin and Tetracycline concentrations. Electrical conductivity (EC) were evaluated by applying ANOVA with Fisher.s test and Probabilistic neural network (PNN) method. ANOVA was also performed for DSC and Lactostar measurement results. This evaluation suggested that EC measurement can be a great promising technique for detection of antibiotic residues in milk, DSC is a good characterization tool for understanding of thermal events and the presence of antibiotic residues in milk influencing freezing point and minerals (EMC)%.
  • Article
    Influence of Tapioca, Corn, and Potato Starches on Physical and Textural Characteristics of Puffed Starch Crackers
    (Sidas Medya A.S., 2025) Cankal, Y.S.; Berk, B.; Koroglu, E.; Yorulmaz, H.; Çavdaroglu, E.; Unluturk, S.
    Puffed products have become increasingly popular, prompting this study to determine how various types of starches such as tapioca, potato, and corn influence the physical, textural, and microstructural properties of starch-based puffed crackers. The physicochemical properties of the starches, including amylose content, water holding capacity (WHC), and oil holding capacity (OHC), as well as the physical properties, texture, and microstructure of the resulting crackers were evaluated. Results indicated that all starches had similar WHC and OHC values. Crackers made with corn starch (FCS) had the lowest oil content (8.65%) and the highest rehydration ratio (1.12). After frying, tapioca and potato starches produced significantly crispier crackers compared to corn starch, with a strong positive correlation (r=0.986) between crispiness and volume expansion. Potato starch-based crackers (FPS) exhibited longer cooling periods due to lower specific heat capacity. Scanning electron microscopy (SEM) images revealed that tapioca starch caused more pronounced changes in microstructure due to its porosity, which explained differences in volume expansion and texture. The study highlighted how different starch sources impacted the texture and microstructure of puffed crackers, providing insights for producing crackers with desired properties. © 2025 Sidas Medya A.S.. All rights reserved.
  • Article
    Citation - WoS: 42
    Citation - Scopus: 53
    Effects of Ultraviolet-Light Emitting Diodes (uv-Leds) on Microbial Inactivation and Quality Attributes of Mixed Beverage Made From Blend of Carrot, Carob, Ginger, Grape and Lemon Juice
    (Elsevier Ltd., 2021) Baykuş, Gökçen; Pelvan Akgün, Merve; Ünlütürk, Sevcan
    Efficacy of ultraviolet light-emitting diodes (UV-LEDs) with peak and coupled emissions at 280, 365 and 280/365 nm on inactivation of E. coli K12 in mixed beverage (MB) was investigated. MB comprised of 31.6% carrot, 44.3% carob, 8.7% grape, 10.2% ginger, and 5.2% lemon juice. The impact of UV-LEDs on some physicochemical and phytochemical properties of MB was compared to that of heat treatment (70 °C, 120 s). While, UV-LED irradiation using coupled 280/365 nm for 40 min resulted in the highest inactivation of E. coli K12 (>4 log) out of tested wavelengths, the number of mesophilic bacteria (TAC), and yeast and molds (YM) in mixed beverage were reduced by 2.59 log CFU/mL (from 5.69 log CFU/mL of initial load), and 0.17 log CFU/mL (from 3.28 log CFU/mL of the initial load), respectively. Although, the color parameters slightly changed after irradiation, the color of MB did not show visual difference (?E = 0.94) compared to untreated samples. UV-LED treatment caused a significant increase in total phenolic compound (1.75-fold) and antioxidant capacity (4.60 fold) compared to heat-treated samples (p < 0.05). UV-LED treatment caused a decrease in carotenoid content (71.3%) lower than that of heat-treated samples (88.9%), indicating that UV-LED irradiation preserved the total carotenoid content better than the heat treatment. Industrial relevance: Light-emitting diodes (LEDs) are new sources of ultraviolet light utilized for non-thermal processing of foods. In this study, a static bench top unit was designed to investigate the efficacy of UV-LEDs with different treatment times and peak emissions by considering the inactivation of E. coli K12 in newly formulated mixed drink (MB). UV-LED irradiation of MB using coupled 280/365 nm for 40 min provided the highest microbial inactivation and preserved bioactive compounds better than the heat treatment. It can be proposed as an effective method for the processing of fruit juices which is rich in bioactive constituents. © 2020 Elsevier Ltd
  • Book Part
    Citation - Scopus: 16
    Kinetic and Process Modeling of Uv-C Irradiation of Foods
    (Elsevier, 2020) Atilgan,M.R.; Yildiz,S.; Kaya,Z.; Unluturk,S.
    Ultraviolet (UV-C) radiation is a nonthermal technology that has emerged as an alternative to heat treatment to extend the shelf life and improve safety of foods. The design of UV-C systems to comply with current food safety goals is still challenging. The engineering approaches differ from those employed for water treatment due to low penetration depth of UV-C light in liquid foods. Furthermore, the application of UV-C irradiation for disinfection of food surfaces is a complex process. It is required an accurate assessment of absorbed UV-C dose to overcome the shadowing effect in solid foods. © 2021 Elsevier Inc. All rights reserved.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 2
    Discrimination of Bio-Crystallogram Images Using Neural Networks
    (Springer Verlag, 2014) Ünlütürk, Sevcan; Ünlütürk, Mehmet S.; Pazır, Fikret; Kuşçu, Alper
    This study utilized a unique neural network model for texture image analysis to differentiate the crystallograms from pairs of fresh red pepper fruits from conventional and organic farms. The differences in visually analyzed samples are defined as the distribution of crystals on the circular glass underlay, the thin or thick structure of crystal needles, the angles between branches and side needles, etc. However, the visual description and definition of bio-crystallogram images has major disadvantages. A novel methodology called an image neural network (INN) has been developed to overcome these shortcomings. The 1,488 × 2,240 pixel bio-crystallogram images were acquired in a lab and cropped to 425 × 1,025 pixel images. These depicted either a conventional sweet red pepper or an organic sweet red pepper. A set of 19 images was utilized to train the image neural network. A new set of 4 images was then prepared to test the INN performance. Overall, the INN achieved an average recognition performance of 100 %. This high level of recognition suggests that the INN is a promising method for the discrimination of bio-crystallogram images. In addition, Hinton diagrams were utilized to display the optimality of the INN weights.
  • Book Part
    Citation - WoS: 7
    Citation - Scopus: 8
    Impact of Irradiation on the Microbial Ecology of Foods
    (Wiley, 2016) Ünlütürk, Sevcan; Ünlütürk, Sevcan
  • Article
    Citation - WoS: 22
    Citation - Scopus: 28
    Effect of Postharvest Uv-C Treatment on the Microbial Quality of ‘şalak’ Apricot
    (Elsevier Ltd., 2018) Hakgüder Taze, Bengi; Ünlütürk, Sevcan
    Inactivation of natural flora found on cv. ‘Şalak’ apricot surfaces was investigated using a newly designed UV-C treatment system equipped with four UV lamps and a rotating roller bearing. Multiple Point Source Summation (MPSS) Model was used to estimate UV light intensity field in this processing chamber. Although MPSS model over-predicted the UV intensity data, light intensity profile showed a good agreement with the radiometric measurements. UV-C treatment of apricots resulted in 3-log reduction in the number of total mesophilic aerobic bacteria (TAPC) at 32.3 W m−2 of average UV light intensity for 16 min at 31.01 kJ m−2 of UV dose whereas 2.38-log reduction was achieved for yeast and mould count (YMC) after 4 min of UV exposure at 7.75 kJ m−2 of UV dose. On the other hand, complete inactivation of coliform bacteria was observed after all treatments. Statistical analysis indicated that further extension of the exposure time did not cause any significant effect on the inactivation of natural flora of apricot surfaces. Additionally, the inactivation data obtained for TAPC and YMC were modelled by using log-linear regression, Biphasic model, log-linear + tail, Weibull model, Weibull + tail, double Weibull and biphasic + shoulder models. The inactivation kinetics of TAPC and YMC were best described by log linear + tail model with the smallest root mean squared error (RMSE) and the highest regression coefficient (R2 > 0.90). These results suggest that UV-C treatment can be applied to control the natural flora on cv. ‘Şalak’ apricots. Use of a rotating roller bearing is highly appreciated in UV-C systems to provide equal radiation among fruit surfaces.
  • Book Part
    Applications of Light-Emitting Diodes in Liquid Foods
    (Apple Academic Press, 2025) Cankal, Y.S.; Ünlütürk, S.
    Recently, there has been increased interest in investigating alternative nonthermal processes to maintain the quality of liquid food products while preserving their nutritional value. Ultraviolet (UV) irradiation technology is one such method and has been widely explored for liquid food products. Low or medium-pressure mercury vapor lamps are used in this technology. Since these lamps contain mercury known to have toxic effects on the human body and the environment [18], the use of light-emitting diodes (LEDs) has become prominent as an ultraviolet light source. LEDs are created using non-toxic semiconductor material, which allows emitting in different wavelengths. Recently, Light Emitting Diode (LED) technology has been emerging as a non-thermal and non-chemical treatment for surface disinfection and preservation of solid and liquid food materials. This chapter emphasizes the application and effectiveness of LEDs of different wavelengths in liquid food processing and storage. © 2025 by Apple Academic Press, Inc.
  • Book Part
    Citation - Scopus: 8
    Uv Processing and Storage of Liquid and Solid Foods: Quality, Microbial, Enzymatic, Nutritional, Organoleptic, Composition and Properties Effects
    (Elsevier, 2021) Hakgüder Taze, Bengi; Pelvan Akgün, Merve; Yıldız, Semanur; Kaya, Zehra; Ünlütürk, Sevcan
    Non-thermal food processing technologies have been explored extensively in recent years in order to develop food products with extended shelf life as well as preserved nutritional and organoleptic characteristics in accordance with the changing consumer demands (Falguera et al., 2011a; Sanchez-Moreno et al., 2009). Ultraviolet (UV) irradiation is one of the non-thermal processes that can be applied to reduce the microbial load in liquid foods and surfaces, and to sterilize food packages and packaging materials, and environments involved in food processes (Jimenez-Sanchez et al., 2017a; Bintsis et al., 2000). UV light is subdivided into three regions as short-wave UV (UV-C, 200 and 280 nm), medium-wave UV (UV-B, 280 to 315 nm), and long wave UV (UV-A, 315 to 400 nm). The different types of effects on microorganisms can be caused by UV light of different wavelengths. The effectiveness of UV light on microorganisms results primarily from the fact that DNA molecules absorb UV photons between 200 and 300 nm, with peak absorption around 260–265 nm. This causes DNA damage by altering the nucleotide base pairing, thereby creating new linkages between adjacent nucleotides, particularly between pyrimidine bases, on the same DNA strand and ultimately results in cell death (Zimmer and Slawson, 2002). Peak et al. (1984) proposed that the dimer formation is not the only requirement to damage the DNA. Absorption of different wavelength photons by different molecular groups in the long DNA molecule can damage or destroy these bond groups. Thus, different bonds in the DNA can be affected with photons of different energy (Neister, 2014).
  • Master Thesis
    Disinfection of White Grape Juice by Using Continuous Flow Uv Reactor
    (Izmir Institute of Technology, 2011) Kaya, Zehra; Ünlütürk, Sevcan
    Although continuous flow UV irradiation process is applied to several kind of fruit juices as a non-thermal method, it hasnot treated to white grape juice before. The main objective was to study the effect of commercial UV disinfection system on the spoilage microorganisms in white grape juice. Physical, chemical and optical properties were measured after and before irradiation. Biodosimetric studies were performed by using Bench Top UV apparatus and continuous flow commercial UV reactor. Bench top UV study showed that 228.96 mJ/cm2 UV dose provided complete inactivation of S. cerevisiae in the pasteurized juice at 0.91 mW/cm2 UV intensity.. 3.00±0.16 log cfu/ml yeasts and 4.32±0.03 log cfu/ml lactic acid bacteria reduction were detected in naturally fermented juice after 282.24 mJ/cm2 UV dose. D(10) of yeasts (43.86 mJ/cm2) were higher than lactic acid bacteria (33.78 mJ/cm2) because of showing higher resistance to UV light. In the continuous flow UV reactor, the highest reduction of S. cerevisiae was achieved as 3.39±0.044 log cfu/ml at 56.06 mJ/cm2 UV dose and low flow rate (820 ml/min) in pasteurized juice. However, highest reduction was observed in yeast and lactic acid bacteria count as 1.70±0.028 log cfu/ml and 2.49±0.0031 log cfu/ml respectively at 19.96 mJ/cm2 UV dose in medium flow rate (1516 ml/min) of fresh squeezed juice. Absorbance, color, and titratable acidity were changed by irradiation. As a result of 13 days shelf life study, no significant increase was seen in spoilage microorganisms after irradiation.