Çalışkan Bilgin, Gülizar
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Caliskan, Gulizar
Bilgin, Gülizar Çalışkan
Caliskan Bilgin, Gulizar
Caliskan, Guelizar
Çalışkan, Gülizar
Bilgin, Gülizar Çalışkan
Caliskan Bilgin, Gulizar
Caliskan, Guelizar
Çalışkan, Gülizar
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Email Address
gulizar.caliskan@ieu.edu.tr
Main Affiliation
05.08. Genetics and Bioengineering
Status
Current Staff
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Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
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3GOOD HEALTH AND WELL-BEING
5
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4QUALITY EDUCATION
0
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
0
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8DECENT WORK AND ECONOMIC GROWTH
0
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
0
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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13CLIMATE ACTION
0
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14LIFE BELOW WATER
0
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15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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17PARTNERSHIPS FOR THE GOALS
0
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Documents
13
Citations
197
h-index
5
Documents
13
Citations
161
Scholarly Output
15
Articles
9
Views / Downloads
107/81
Supervised MSc Theses
0
Supervised PhD Theses
0
WoS Citation Count
53
Scopus Citation Count
72
Patents
0
Projects
0
WoS Citations per Publication
3.53
Scopus Citations per Publication
4.80
Open Access Source
6
Supervised Theses
0
| Journal | Count |
|---|---|
| Asia-Pacific Journal of Chemical Engineering | 2 |
| Proceedıngs of the Internatıonal Conference on Medıcal And Bıologıcal Engıneerıng, Cmbebıh 2019 | 2 |
| Tıp Teknolojılerı Kongresı (Tıptekno'21) | 2 |
| IFMBE Proceedings | 1 |
| Inorganic and Nano-Metal Chemistry | 1 |
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15 results
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Now showing 1 - 10 of 15
Article Citation - WoS: 25Citation - Scopus: 28Green Synthesis and Characterization of Titanium Nanoparticles Using Microalga, Phaeodactylum Tricornutum(Taylor & Francis Inc, 2021-12-08) Çalışkan, Gülizar; Mutaf, Tuğçe; Agba, Hasan Cenk; Elibol, MuratNanoparticles synthesized from microalgae offer a newly discovered process that is open to improvement. In this study supernatant of Phaeodactylum tricornutum (P. tricornutum) culture was used for this purpose. Firstly, the effects of some variables, namely titanium concentrations, titanium:supernatant ratio, pH, incubation time, and mixing speed on nanoparticle synthesis were investigated by using statistical design method in shaken culture as well as bioreactor. The average nanoparticle size synthesized in optimum conditions which were pH 7.5 with 300 rpm for 1 h was found as 50 nm. In the second part, nanoparticles were coated with a chitosan solution to protect their stability and increase their potential. Therefore, the antimicrobial activity showed a reasonable effect on these nanoparticles coated with chitosan. Nanoparticles produced had interestingly shown 99% antistatic properties. According to the cytotoxicity test, these nanoparticles showed a high cytotoxic effect on different cancer cell lines. The results obtained in the present study can be considered promising outcomes for possible future antimicrobial, biogenic and antistatic studies particularly in biomedical applications.Article Optimization and Characterization of Aspirin- and Ibuprofen-Loaded Lipid-Based Nanoparticle Synthesis for Antibacterial Activity and Cytotoxic Effect(Wiley, 2025-11-27) Caliskan, Gulizar; Ergonul, Smyrna; Cansu, Zuhal Naz; Kaplan, BusraLipid-based nanoparticles (LNPs) are favored for drug delivery because of their low toxicity, high biocompatibility, ability to self-assemble into nanoparticles, and ability to enhance drug bioavailability, thereby improving drug release modulation and pharmacokinetics. In this study, the regional palm fruit extract and thyme oil were used as an oil source for the synthesis of LNPs with/without drugs. The Design Expert statistical software program, Central Composite Design (CCD) method was used to optimize the effect of drug:lipid ratio (1:3-1:7), drug type (ibuprofen or aspirin) and incubation time (5-15 min) on encapsulation efficiency (EE%), and antibacterial activity. The maximum EE% of 94% was achieved using ibuprofen at a drug:lipid ratio of 1:7 with a 5-min incubation time. Physicochemical characterization showed the inclusion of both aspirin and ibuprofen imparted a strong negative charge (up to -15 mV) and yielded average sizes ranging from 180 to 560 nm. Furthermore, ibuprofen- and aspirin-loaded LNPs exhibited promising cytotoxic effects on the hepatocarcinoma cell line (Huh7), showing 50% and 70% viability at a concentration of 50 mu M, respectively. Ultimately, the demonstrated efficacy of palmitic acid-incorporated LNP formulations suggests a significant potential for these optimized carriers to improve the therapeutic efficacy of antitumor drugs in clinical applications.Conference Object Nanopartikül Biyosentezinde Ortalama Çap Tahmini ve Optimizasyonu için Yanıt Yüzeyi Yöntemi ve Makine Öğreniminin Birleştirilmesi(IEEE, 2024-10-10) Çalışkan Bilgin, Gülizar; Topalli, Ayca Kumluca; Kilic, Tugce Mutaf; Elibol, Murat; Bilgin, Gulizar CaliskanThe synthesis of nanoparticles from biological sources by green synthesis method and production optimization studies are increasing in popularity today. However, the variability of biological source and environmental effects in such processes leads to different morphology and functionality in the final product. In this study, microalgae was used as a bioreduction agent in nanoparticle synthesis and analyses of the harmonic mean particle diameter of FeSO4 concentration and its ratio with microalgae medium were carried out in particle synthesis. In this two-stage study, the experimental design was carried out first, and the particle diameters obtained by data generation were developed by machine learning. The error rates at both stages were compared and improvements were recorded. As a result, a new low-cost, fast, simple and environmentally friendly approach was introduced to solve the data insufficiency problem and used in particle diameter estimation. The results obtained showed that the proposed combined strategy provides better nanoparticle size estimates than the statistical approach alone. The proposed method is applicable to a wide range of biotechnology and bioengineering applications with significant advanced knowledge.Article Citation - WoS: 5Citation - Scopus: 5Effect of Nutrient, Light Intensity and Temperature on the Growth Rates and Metabolism of a Stress-Resistant Bacillariophyta Species - Entomoneis Sp. - in Izmir Bay (aegean Sea)(Natl Centre Marine Research, 2020-03-28) Adalioglu, Sezgi; Çalışkan, GülizarA unicellular marine microalga, Entomoneis sp. was isolated and studied as had become the dominant species compared to other bacillariophyta species in different environmental fluctuations in Izmir Bay. In effort to better understand the dynamics of this microalga that has achieved unprecedented domination, we conducted a monoculture isolation study. In this study, experiments were planned within the annual range of the Izmir Bay temperature, and the demonstrated behavior of the species in light and nutrient conditions. The stock culture medium was illuminated by approximately 50 mu mol photons m(-2)s(-1) of illumination with 14/24 daylight. The temperature of the climate chamber was set at the summer (T1 (21 +/- 1 degrees C)), spring (T2 (17 +/- 1 degrees C)) and winter (T3 (13 +/- 1 degrees C)) temperatures of Izmir Bay. Experiments were also conducted with four different light intensities (L1 (50 mu mol photons m(-2)s(-1)), L2 (25 mu mol photons m(-2)s(-1)), L3 (5 mu mol photons m(-2)s(-1)) and L4 (dark)). In this context, nutrient measurements were made on samples of the exponential, stationary and death phase of the culture and nutrient analyses were carried out. The results, which were designed according to ceteris paribus assumptions, were adapted to Michaelis-Menten kinetics. Consequently, considering the lifetime of the diatom at different temperature conditions, T3 was determined as an optimum temperature. Maximum growth rate and process time were observed at this temperature. This explains why these diatoms are abundant available in the winter. Once the light intensity was increased, the growth rate was increased at the T1 and T2 temperatures. However, T3 had a high growth rate at nearly L1 light intensity. Considering the consumption and transformation of different nutrient conditions, different results for both types of microalgae were obtained.Conference Object Citation - WoS: 13Citation - Scopus: 20Green Synthesis of Metal Nanoparticles Using Microalga Galdieria Sp.(Springer, 2019-05-11) Çalışkan, Gülizar; Mutaf, Tuğçe; Oncel, Suphi Surisvan; Elibol, MuratGreen synthesis of nanoparticles has recently been a preferred method since it offers useful approaches such as non-toxic, biocompatible, environmentally friendly, cost-effective, stable product and trustable alternative processes compared to other methods. Various biological sources such as plant, algae, fungus and bacteria are widely used in biological synthesis of nanoparticles. Algae are more adapted organisms compared to the others for having high growth rate and biomass productivity, high heavy metal accumulation capacity, etc. Nanoparticles can be used in various area such as antimicrobial, antifungal, antioxidant agent, admixture of biosensor and drug transport/release, also diagnosis and treatment systems. Since each organism has different biochemical composition and metabolic pathways, their synthesized nanoparticles are going to show various characteristics and application area. In this study, silver, iron (II) and zinc nanoparticles were produced by using microalga Galdieria sp. The synthesized nanoparticles were characterized by using UV visible spectroscopy, Fourier transform infrared spectroscopy (FTIR) and zeta sizer. Antimicrobial activity against gram negative and gram-positive bacteria was also examined throughout the study. In conclusion, the potential of this biogenic nanoparticle was discussed.Article Green Synthesized Silver Nanoparticles in Two Stages: Box Behnken Design To Machine Learning(Taylor & Francis Inc, 2024-05-23) Çalışkan, Gülizar; Kumluca Topallı, Ayca; Topalli, Ayca KumlucaIn order to solve the modeling issues due to data scarcity problems in the disciplines utilizing statistical approximations, a novel two-stage idea is proposed. As a use case, nanoparticle biosynthesis was selected, for which an environmentally friendly process is of vital importance. First, Box Behnken Design was used for experimental setup, quadratic model formulation and data generation. The second stage consists of Machine Learning, in which the data generated in the previous stage were fed into a Neural Network to determine the relationship between the parameters. Obtained results showed that the proposed combined strategy provided better nanoparticle size estimations than the statistical approach alone. In the absence of publicly available databases, data generation using experimental design and machine learning, as proposed here, could be a faster, lower-cost, and greener solution. Our proposed method can be applied to a wide range of biotechnology and bioengineering applications with significant advanced knowledge.Conference Object Citation - WoS: 2Citation - Scopus: 7Prediction of Sleep Apnea Using Eeg Signals and Machine Learning Algorithms(IEEE, 2021-11-04) Onargan, Aysu; Gavcar, Busra; Çalışkan, Gülizar; Akan, AydinA lot of research has been done on sleep disorders from past to present. Sleep apnea, which we frequently encounter today, is one of the important sleep disorders that threaten human life. This situation that occurs during sleep also affects the daily life of the individual. Obstructive sleep apnea syndrome (OSAS) is a respiratory tract disorder with a prevalence of almost 4% in men and approximately 2% in women [1]. Snoring and OSA, which are among the breathing problems during sleep, are among the conditions caused by the insufficiency of breathing [2]. The aim of our study is to determine whether the person has OSA by analyzing electroencephalogram (EEG) signals. As we know, many physiological and biological activities occur during sleep. In order to observe these activities, we record the electrical activity that occur in our brain. Thanks to the EEG, we transform these activities into digital data. In this project, EEG signals recorded from 4 patients during sleep were processed on MATLAB. Sleep recordings of different sleep zones marked by the doctor are segmented. The data in the segments are divided into 3 headings as pre-apnea, moment of apnea and post- apnea. The data were processed with signal analysis methods such as empirical mode decomposition (EMD) and intrinsic mode functions (IMFs) were extracted. Attributes were obtained from IMFs again on MATLAB. These features are used for classification in advanced machine learning algorithms as pre-apnea and apnea moment as a set of 2 and as a set of 3 as pre-apnea, apnea moment and postapnea. Using the method, we mentioned provides a practical and fast diagnostic process for patients and doctors in our project. In this project, which aims to accelerate the treatment and diagnosis process in order to support the health of patients, it is aimed to classify OSA by analyzing EEG signals. As a result of our project, the accuracy values of the 2-set are between 47.5% and 71.9%, and the accuracy values of the 3-set are between 33.8% - 63.1%.Article Citation - WoS: 3Metal Nanopartiküllerin Mikroalgler Aracılığı ile Yeşil Sentezi(Ege Univ, FAC Fisheries, 2023-03-15) Mutaf, Tuğçe; Çalışkan Bilgin, Gülizar; Öncel, Suphi; Elibol, Murat; Caliskan, GulizarYeşil sentez olarak adlandırılan, nanopartiküllerin biyolojik kaynaklar aracılığı ile sentezlenmesine olan ilgi son yıllarda artış göstermiştir. Bunun temel nedeni geleneksel yöntemler olan fiziksel ve kimyasal yöntemlerde indirgeyici ve stabilize edici ajanlar olarak yüksek miktarlarda toksik kimyasala ihtiyaç duyuluyor olmasıdır. Daha çevre dostu ve insan sağlığı için tehdit oluşturmayan bitki, fungus, bakteri, alg gibi organizmalar yeşil nanopartikül sentezi için alternatif kaynaklardır. Sucul mikroorganizmalar olan mikroalgler üretmiş oldukları proteinler, vitaminler, pigmentler, yağ asitleri, hücre içi- hücre dışı polisakkaritler gibi fonksiyonel özelliğe sahip metabolitler sayesinde uzun yıllardır gıda, kozmetik ve ilaç endüstrilerinde formülasyonlara eklenmektedir. Bunların yanı sıra, son yıllarda yapılan çalışmalarla nanopartikül sentezinde de yüksek potansiyele sahip oldukları görülmüştür. Özellikle metal iyonlarının depolanmasını ve detoksifikasyonunu yapabildiklerinden ve metal iyonlarını elementel hale indirgeyen hücre içi ve hücre dışı metabolitlerce zengin olduklarından, metal nanopartiküllerin sentezi için yüksek potansiyele sahiptirler. Son yıllarda mikroalglerden nanopartikül sentezine odaklanmış olan yayın sayısı artmış ve pek çok mikroalg türünün gümüş, altın, titanyum, çinko, demir vb. metal nanopartikülleri hücre içi ve hücre dışı yollarla sentezleme potansiyeli araştırılmıştır. Bu derleme makale kapsamında, nanopartikül sentezi için çalışılmış olan mikroalg ve siyanobakteri türleri, kullanılan farklı sentez yöntemleri, nanopartiküllerin sentez mekanizması, temel karakterizasyon yöntemleri ve yeşil sentezle üretilen nanopartiküllerin antimikrobiyal aktivitelerine odaklanılmıştırArticle Evaluation of Photobioreactor Designs for Potential Application as Microalgal Façade Systems(Nature Portfolio, 2026-03-03) Tekin, Zehranur; Mengi, Onur; Çalişkan, Gülizar; Deniz, Deniz; Al-Hammadi, Mohammed; Güngörmüşler, Mine; Irkdaş Doğu, DeryaThis study introduces innovative PBRs to optimize the growth of Chlorella vulgaris. For the first time, various designs, including flat and column PBRs with and without innovative interior structures, were investigated in the context of a Green Campus case study. The novel column PBR equipped with a spiral baffle significantly improved the homogeneity of the culture medium, enhancing light penetration, nutrient distribution, and gas exchange, while effectively reducing air bubble coalescence using an innovative spiral apparatus, achieving a biomass yield of 1.8 g L- 1 with a climate change impact of 0.93 kg CO2-eq. Furthermore, the integrated spiral apparatus simplified the harvesting, reducing operational complexities, overall cost, and potentially, CO2 emissions. Finally, the Life Cycle Assessment (LCA) was conducted to highlight the column PBR's environmental impact. The electricity used during the cultivation stage was responsible for almost all CO2 production. This hotspot is further discussed, as well as insights into ways to reduce the carbon footprint in future. The study encourages the integration of microalgal PBRs into urban bio-façade systems, aligning with global sustainability initiatives such as the European Green Deal. It offers insights into advanced façade design principles, emphasizing higher efficiency. Areas for future research include exploring different microalgae species and optimizing design parameters based on these findings.Conference Object Endemic Inula Viscosa (l.) Extracts and Their Potential for Both Biosynthesizing Silver Nanoparticles and Anti-Microbial Activity(Springer Science and Business Media Deutschland GmbH, 2024) Ozbey, B.O.; Çalışkan Bilgin, Gülizar; Caliskan, GulizarGreen synthesis has recently become one of the most popular methods, as it is both low-budget and environmentally friendly. One of the important considerations in green synthesis is to perform an optimization study because it is necessary to understand how different application conditions (pH, incubation time, metal concentration, etc.) can affect the formation of nanoparticles with different morphology and efficiency, underlining the need for optimization of the process. In this study, firstly the endemic Inula Viscosa (L.) plant, popularly known as cancer grass, was extracted using distillation method. Then, silver nanoparticle (AgNPs) biosynthesis was carried out using the extract of Inula Viscosa (L.) plant. Their physicochemical characterization was conducted using Fourier-transformed infrared spectroscopy (FTIR), UV-visible spectrophotometry (UV-Vis), Scanning Electron Microscopy (SEM), and Dynamic Light Scattering (DLS). The time, pH, and AgNO3 concentration, which affect the characteristic and morphological properties of AgNPs, were optimized with the Box Behnken Design (BBD) method, with statistical and experimental design determined by means of a Design Expert statistical software program. The disk diffusion method was also implemented and optimized to increase antimicrobial activity. The study determined the optimal levels of AgNPs, which were green synthesized by Inula Viscosa (L.), provided proof of its antimicrobial properties, and demonstrated their potential to be used as a low-budget aid to new generation clinical treatment methods. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
