Çavdaroğlu, Çağrı

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Name Variants
Cavdaroglu, C.
Cavdaroglu, Cagri
Job Title
Email Address
cagricavdaroglu@iyte.edu.tr
Main Affiliation
01. Izmir Institute of Technology
Status
Former Staff
Website
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
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
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

13

Citations

132

h-index

8

Documents

0

Citations

0

Scholarly Output

16

Articles

15

Views / Downloads

7605/1363

Supervised MSc Theses

0

Supervised PhD Theses

1

WoS Citation Count

112

Scopus Citation Count

138

Patents

0

Projects

0

WoS Citations per Publication

7.00

Scopus Citations per Publication

8.63

Open Access Source

3

Supervised Theses

1

JournalCount
Journal of the Science of Food and Agriculture2
Food Chemistry2
Food Hydrocolloids1
Food Research International1
Food Reviews International1
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Scopus Quartile Distribution

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Scholarly Output Search Results

Now showing 1 - 10 of 16
  • Review
    Citation - WoS: 10
    Citation - Scopus: 10
    Authentication of Vinegars With Targeted and Non-Targeted Methods
    (Taylor & Francis, 2023) Çavdaroğlu, Çağrı; Çavdaroğlu, Çağrı; Özen, Banu; Özen, Fatma Banu
    There has been a growing interest in vinegar, especially after the increasing reports about its beneficial health effects. Bioactive compounds of vinegar are associated with its antimicrobial, antioxidant, antidiabetic, antitumor, and anti-obesity types of activities. Quality of vinegar is related with the authenticity of the product besides the amounts of bioactive compounds in its composition. Addition of cheaper substitutes to higher quality vinegars and false labeling are some common authentication problems for this product. There are various examples of the use of targeted and untargeted methods in authentication studies for vinegars. Specific constituents and properties of vinegars such as molecular isotope ratios and individual volatile compounds were used to detect adulteration with targeted methods. On the other hand, untargeted methods, mostly in the form of the application of spectroscopic techniques, such as infrared and fluorescence spectroscopy in combination with chemometrics, provide an overall measurement. This review mainly focuses on adulteration types and elaborates on different targeted and non-targeted methods used to authenticate vinegars.
  • Article
    Citation - WoS: 9
    Citation - Scopus: 11
    Prediction of Vinegar Processing Parameters With Chemometric Modelling of Spectroscopic Data
    (Elsevier, 2021) Çavdaroğlu, Çağrı; Çavdaroğlu, Çağrı; Özen, Banu; Özen, Fatma Banu
    Spectroscopic methods have the advantages of being rapid and environmentally friendly and can be used in measurement and control of processing parameters during food production. It was aimed to predict several quality and chemical parameters of vinegar processing from UV-visible and mid-infrared spectroscopic profiles. Two processing lines of both traditional and submerged vinegar production from 2 separate grape varieties (green and red grapes) were monitored. Some of the important markers of the fermentation processes; pH, brix, total acidity, total flavonoid content, total and individual phenolic contents, organic acid, sugar, ethanol concentrations as well as UV-visible and mid-infrared spectra were obtained during both types of vinegar processing and quality and chemical parameters were predicted from spectroscopic data using chemometric methods. Individual UV-visible and mid-infrared spectral profiles along with low level of data fusion were used in building of chemometric prediction models. Accurate, reliable and robust prediction models (R(2)cal and R(2)val >0.9) were obtained for quality parameters mostly with combination of two spectroscopic datasets. Predictive models used for phenolic components were below average except for p-coumaric and syringic acids. Citric and acetic acids were the most accurately estimated ones among organic acids along with ethanol. Close agreements between reference and predicted values were obtained during the monitoring of changes of some quality parameters for vinegar fermentation process through rapid and simultaneous spectroscopic measurements.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 3
    Vibrational Spectroscopy in Plant-Based Protein Research: Quantification and Structural Analysis
    (Elsevier Science London, 2025) Cavdaroglu, Elif; Cavdaroglu, Cagri; Ozen, Banu
    Background: Plant-based proteins are gaining importance in food science, biotechnology, and human health as sustainable and nutrient-rich alternatives to animal-derived proteins. The rising demand for plant-based foods, driven by environmental concerns and dietary shifts, has intensified research into plant protein sources. Accurate determination of protein content and structure is essential for ensuring the nutritional quality, optimizing functionality, and maintaining product consistency. Traditional protein analysis methods, while effective, often require extensive sample preparation and time-consuming procedures. Vibrational spectroscopy, including Fourier-transform Infrared (FTIR), Near-Infrared (NIR), and Raman spectroscopy, offers a rapid, non-destructive, and efficient alternative for protein characterization in complex food matrices. Scope and approach: This review explores the application of vibrational spectroscopy in evaluating plant-based protein content and their secondary structure. It outlines the fundamental principles of FTIR, NIR, and Raman spectroscopy, emphasizing their advantages over conventional techniques. Key challenges, such as spectral overlap, water interference, and calibration requirements, are discussed alongside emerging solutions involving chemometric approaches, artificial intelligence, and hybrid analytical techniques. Key findings and conclusions: Vibrational spectroscopy provides precise protein quantification and structural analysis with minimal sample preparation. FTIR and Raman spectroscopy complement each other in protein conformation analysis, while NIR facilitates rapid bulk protein assessment. Advances in computational methods are enhancing spectral interpretation and accuracy. Integrating vibrational spectroscopy with complementary techniques can further improve protein characterization, supporting the development of high-quality, sustainable plant-based protein sources for food and biotechnology applications.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 11
    Applications of Uv–visible, Fluorescence and Mid-Infrared Spectroscopic Methods Combined With Chemometrics for the Authentication of Apple Vinegar
    (MDPI, 2023) Çavdaroğlu, C.; Özen, B.
    Spectroscopic techniques as untargeted methods have great potential in food authentication studies, and the evaluation of spectroscopic data with chemometric methods can provide accurate predictions of adulteration even for hard-to-identify cases such as the mixing of vinegar with adulterants having a very similar chemical nature. In this study, we aimed to compare the performances of three spectroscopic methods (fluorescence, UV–visible, mid-infrared) in the detection of acetic-acid/apple-vinegar and spirit-vinegar/apple-vinegar mixtures (1–50%). Data obtained with the three spectroscopic techniques were used in the generation of classification models with partial least square discriminant analysis (PLS-DA) and orthogonal partial least square discriminant analysis (OPLS-DA) to differentiate authentic and mixed samples. An improved classification approach was used in choosing the best models through a number of calibration and validation sets. Only the mid-infrared data provided robust and accurate classification models with a high classification rate (up to 96%), sensitivity (1) and specificity (up to 0.96) for the differentiation of the adulterated samples from authentic apple vinegars. Therefore, it was concluded that mid-infrared spectroscopy is a useful tool for the rapid authentication of apple vinegars and it is essential to test classification models with different datasets to obtain a robust model. © 2023 by the authors.
  • Article
    Harnessing Pulse Proteins as Soy Protein Substitutes in Spreadable Cheese Analogues: Exploring Correlations Among Protein Techno-Functionality, and Cheese Textural, Rheological and Sensory Properties
    (Elsevier Sci Ltd, 2026) Cavdaroglu, Elif; Topcuoglu, Meryem; Acar, Eda; Polat, Nil Yaren; Berk, Berkay; Cavdaroglu, Cagri; Yemenicioglu, Ahmet
    This study aimed at comparing techno-functional properties of faba bean (FBP), pinto bean (PBP), cowpea (CPP) and mung bean (MBP) proteins with commercial soy protein isolate (SPI), and exploring their correlations with textural, rheological and sensory properties of plant protein-based spreadable cheese analogues. FBP and MBP showed the best solubility between pH 3.0 and 11.0. The highest and the lowest water and oil (OAC) absorption capacities were observed for SPI and MBP (7.78 and 0.79 g H2O/g), and PBP and SPI (7.79 and 3.55 g oil/g). Protein's least gelling concentrations (LGC) ranged from 10 % (SPI) to 18 % (FBP). CPP, MBP, and PBP formed harder, gummier gels at >= LGC than SPI and FBP. Pre-gels of PBP and CPP at <= LGCs showed the highest consistency and viscosity indexes. Proteins showed similar emulsification. Cheese analogue from SPI (SPIC) showed the highest firmness (37.5 N) and work to shear for spreadability (57.5 N s), followed by cheese analogues of other proteins such as MBPC, CPPC, FBPC, and PBPC in descending order. The highest and lowest elastic (G ') and viscous (G '') moduli were obtained for MBPC (G' = 4353 and G"= 1277) and PBPC (G' = 377 Pa and G"= 98 Pa). OAC of proteins correlated with cheese analogues' firmness (r =- 0.918), work to shear for spreadability (r =- 0.910), and stickiness (r =- 0.894). Tan delta (G"/G ') of cheese analogues correlated with work to shear for spreadability (r = 0.986). SPIC and FBPC received the highest overall liking scores correlated mainly with appearance, color and taste. Correlating protein techno-functionality in cheese analogue opens new horizons for effective utilization of pulse proteins as soy protein substitutes.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 2
    Year-To Differentiation of Black Tea Through Spectroscopic and Chemometric Analysis
    (Springer Science and Business Media Deutschland GmbH, 2025) Yorulmaz, H.; Cavdaroglu, C.; Donmez, O.; Serpen, A.; Ozen, B.
    The compositions of food products such as tea can vary significantly from one harvest year to another, primarily due to factors such as shifting climatic conditions, and plant periodicity. These fluctuations in composition can significantly affect the overall product quality. Spectral methods combined with chemometric techniques can provide efficient tools to monitor and assess these variations. In this study, 205 black tea samples from two consecutive harvest years were analyzed using mid-infrared, UV–visible, and fluorescence spectroscopy. Mid-infrared spectra were collected for both infused and powdered samples, while only the infused samples were used for the other spectroscopic methods. The study used partial least-square discriminant (PLS-DA) and orthogonal partial least-square discriminant analyses (OPLS-DA) to differentiate samples by harvest year. These models, applied after various data transformations, achieved high correct classification rates. Mid-infrared spectroscopic data yielded rates of 93.33% and 90.33% for powdered and infused samples, respectively. Fluorescence and UV–visible spectra also showed excellent prediction accuracy, with success rates of 98.3% and 100%. The results indicate that these spectroscopic methods, combined with chemometric differentiation, are valuable tools for monitoring year-to-year changes in black tea. © The Author(s) 2024.
  • Article
    Citation - WoS: 28
    Citation - Scopus: 29
    Detection of Vinegar Adulteration With Spirit Vinegar and Acetic Acid Using Uv–visible and Fourier Transform Infrared Spectroscopy
    (Elsevier, 2022) Çavdaroğlu, Çağrı; Özen, Banu
    Vinegar is one of the commonly adulterated food products, and variations in product and adulterant spectrum make the detection of adulteration a challenging task. This study aims to determine adulteration of grape vinegars with spirit vinegar and synthetic acetic acid using different spectroscopic methods. For this purpose, grape vinegars were mixed separately with spirit vinegar and diluted synthetic acetic acid (4%) at 1–50% (v/v) ratios. Spectra of vinegars and mixtures were obtained with UV–visible and Fourier-transform infrared (FTIR) spectrometers. Data were evaluated with various chemometric methods and artificial neural networks (ANN). Correct classification rates of at least 94.3% and higher values were obtained by the evaluation of both spectroscopic data along with their combination with chemometric methods and ANN for discrimination of non-adulterated and adulterated vinegars. UV–vis and FTIR spectroscopy can be rapid and accurate ways of detecting adulteration in vinegars regardless of adulterant type.
  • Review
    Citation - WoS: 10
    Citation - Scopus: 12
    Trends in Authentication of Edible Oils Using Vibrational Spectroscopic Techniques
    (Royal Soc Chemistry, 2024) Ozen, Banu; Cavdaroglu, Cagri; Tokatli, Figen
    The authentication of edible oils has become increasingly important for ensuring product quality, safety, and compliance with regulatory standards. Some prevalent authenticity issues found in edible oils include blending expensive oils with cheaper substitutes or lower-grade oils, incorrect labeling regarding the oil's source or type, and falsely stating the oil's origin. Vibrational spectroscopy techniques, such as infrared (IR) and Raman spectroscopy, have emerged as effective tools for rapidly and non-destructively analyzing edible oils. This review paper offers a comprehensive overview of recent advancements in using vibrational spectroscopy for authenticating edible oils. The fundamental principles underlying vibrational spectroscopy are introduced and chemometric approaches that enhance the accuracy and reliability of edible oil authentication are summarized. Recent research trends highlighted in the review include authenticating newly introduced oils, identifying oils based on their specific origins, adopting handheld/portable spectrometers and hyperspectral imaging, and integrating modern data handling techniques into the use of vibrational spectroscopic techniques for edible oil authentication. Overall, this review provides insights into the current state-of-the-art techniques and prospects for utilizing vibrational spectroscopy in the authentication of edible oils, thereby facilitating quality control and consumer protection in the food industry. The authentication of edible oils has become increasingly important for ensuring product quality, safety, and compliance with regulatory standards.
  • Article
    Citation - WoS: 8
    Citation - Scopus: 10
    Use of Magic Sandwich Echo and Fast Field Cycling Nmr Relaxometry on Honey Adulteration With Corn Syrup
    (John Wiley and Sons Inc., 2021) Berk, Berkay; Çavdaroğlu, Çağrı; Grunin, Leonid; Ardelean, Ioan; Kruk, Danuta; Mazı, Bekir G.; Öztop, Halil Mecit
    conventional time domain nuclear magnetic resonance (TD-NMR) pulse sequence: magic sandwich echo (MSE) was used to detect the adulteration of honey by glucose syrup (GS) and high fructose corn syrup (HFCS) accompanied with T-1 and T-2 relaxation times. Also, fast field cycling NMR (FFC-NMR) relaxometry and multivariate analysis were performed to investigate the adulteration. RESULTS Higher maltose in GS and changing glucose to water ratio of HFCS gave high correlation with the crystal content values. In HFCS adulteration, two separate populations of protons having different T-2 values were detected and T-1 times were also used to determine GS adulteration. Addition of GS increased T-1 while addition of HFCS increased T-2, significantly. CONCLUSION The results showed that it is possible to differentiate the unadulterated and adulterated honey samples by using TD-NMR relaxation times and crystal content values obtained by the MSE sequence. By FFC-NMR relaxometry, not only GS addition but also the amount of GS was examined. The multivariate analysis technique of principal component analysis was able to distinguish the types of adulterants.
  • Article
    FTIR Spectroscopy Coupled With Chemometrics for Evaluating Functional Food Efficacy in an in Vitro Model of Iron Deficiency Anemia
    (Elsevier Science Ltd, 2026) Dalyan, Eda; Cavdaroglu, Cagri; Ozen, Banu; Gulec, Sukru
    Vibrational spectroscopy offers a rapid, cost-effective approach for studying biological systems. This study employs Fourier Transform Infrared (FTIR) spectroscopy, combined with Soft Independent Modeling of Class Analogy (SIMCA), to evaluate treatment outcomes for iron deficiency anemia (IDA). The model was built using spectra from healthy and anemic cells, then validated with cells treated with commonly used iron supplements. In calibration, 9 of 10 control and all IDA samples were correctly classified; 14 of 15 validation samples were identified as healthy. The model was applied to cells treated with protein-iron complexes. All samples treated with a 60:1 protein-iron ratio matched the healthy group, while 3 of 4 treated with a 10:1 ratio matched the IDA group. These results were further supported by iron-regulated gene expression of transferrin receptor (TFR) and (Ankyrin Repeat Domain 37) ANKRD37. FTIR coupled with chemometrics enables rapid assessment of functional effects and shows potential for screening functional ingredients in anemia-targeted food products.