Yazarlar
- Baltaci, Cemalettin(26)
- Ürkek, Bayram(25)
- Ozturk, Samet(24)
- Şengül, Mustafa(20)
- Yuksel, Ferhat(19)
- Kaya, Hacer(15)
- Baltacı, Cemalettin(12)
- İlyasoğlu, Huri(12)
- Acet, Tuba(10)
- Aksakal, Vecihi(10)
- Adanacioglu, Hakan(9)
- Erdogdu, Ferruh(9)
- Liu, Shuxiang(9)
- Yolcu, Halil(9)
- Menevseoglu, Ahmed(8)
- Merddan, Kurtuluş(8)
- Akdoğan, Arda(7)
- Gündoğdu, Engin(7)
- Karabulut, Besim(7)
- Sirat, Abdulveli(7)
- Bahar, Bilge(6)
- Bayram, Bahri(6)
- Doğan, Nilgün(6)
- Güzel, Melih(6)
- Karaalp, Musa(6)
- Kaya, H.(6)
- Yüksel, Ferhat(6)
- Öz, Mehmet(6)
- Akar, Bülent(5)
- Burnaz, Nesibe Arslan(5)
- Coskun, Eda(5)
- Gül, Abdulkadir(5)
- Gürmeriç, Hüseyin Ender(5)
- Ilyasoglu, Huri(5)
- Kalkisim, Ozgun(5)
- Karaman, Safa(5)
- Karpuz, Ömer(5)
- Mazlum, Halit(5)
- Okcu, Zuhal(5)
- Ozdes, Duygu(5)
Yayınlar
- MakaleAçık Erişim2024Effect of Different Storage Conditions and Infusion Times on Antioxidant and Antimicrobial Activites and Total Phenolic Content of Rosehip Fruits
Düzgün, Azer Özad; Acet, Tuba; Baltaci, Cemalettin; Akmeşe, Osman; Ural, Mustafa Nuri; Akar, Zeynep; Darak, Münevver; Kılınç, Kagan
Rosa canina L. (Rosehip) is a medicinal plant with strong antioxidant properties.The content of rosehip and accordingly its antioxidant capability may vary according to the way the fruits are used, storage, infusion, freezing and drying methods. In study, it was aimed to determine the antioxidant, antimicrobial activities in rosehip infusion products and extracts under these conditions. Fresh, frozen, dried and +40C stored fruits were infused at 90 degrees and infusion groups were formed. During infusion, samples were taken at 30, 60, 90, 120, 300 and 360th minutes and antioxidant activity (DPPH, FRAP and ABTS methods), total phenolic and total flavonoid contents (TPC and TFC), and antimicrobial activity were analyzed. In addition, phenolic compound content was investigated in 3 different extracts by HPLC method. Dried rosehip (DR) infusing samples were found to have the highest antioxidant activity, TPC and TFC compared to all groups (p-value ranged between 0.000 and 0.05).). Significant decreases were detected in the parameters according to storage and freezing times. A total of 8 phenolic compounds, the highest concentration of which was epicatechin, were detected in aqueous and ethanolic extracts of dried and stored at 40C rosehip (DR+40C) and dried rosehip (DR) fruits. For antimicrobial analysis, Total 7 different Gram (+) and (Gram (-) bacterial strains, were used. While antimicrobial activity was observed in the extracts, no activity was observed in the infusion products. It was determined that antioxidant activity increased during 360 minute infusion time, although it varied according to storage conditions.
- MakaleAçık Erişim2024Physicochemical, Nutritional, and Antioxidant Properties of Ice Cream Enriched with Red Beetroot (Beta vulgaris L.) at Varying Sucrose Levels
Gündoğdu, Engin; Hacıbektaşoğlu, Firdevs
This study aims to produce a low-calorie ice cream with a higher nutritional value using red beetroot (Beta vulgaris L.). Four kinds of ice cream containing 5%, 10 % and 15% sucrose and single red beetroot (RB) ratio 15% and control (15% sucrose+ RB free) encoded as RB5, RB10, RB15 and C were produced respectively. The addition of RB increased pH and decreased the acidity (LA) and dry matter contents compared to control. Ash content was decreased depending on the sucrose ratio. While the lowest overrun value was determined in the RB10 sample (23.08%), the highest was in sample C (39.18%). The increasing of sucrose ratio generally increased the first dropping time and decreased the total melting time. The addition of sucrose reduced the viscosity and the highest viscosity values were observed in the sample RB5. While the lowest total phenolic content (TPC) was observed in the control sample (329.69 GAE mg/kg), the highest TPC was found in the RB5 sample (558.55 GAE mg/kg). Also, the lowest DPPH value was determined in the control sample (13.66% inhibition), the highest DPPH value was determined in the RB10 sample (27.98% inhibition). While fructose and glucose values decreased, sucrose values increased in the ice cream samples depending on the increasing of sucrose ratio.
- MakaleAçık Erişim2024Assessment of Traditional and Commercial Rosehip Marmalade Samples: Physicochemical, Antioxidant, and Antibacterial Properties in Gümüşhane Province
Yilmaz, Firat
In this study, the specific physicochemical, antioxidant, and antibacterial properties of 20 different rosehip marmalade samples, produced using traditional and commercial methods in the Gümüşhane province and its districts, were comprehensively analyzed. To detect the chemical composition of the rosehip marmalade samples, analyses were conducted for total dry matter, pH, ash, titratable acidity (malic acid %), soluble solids, water activity, and color (L*, a*, b*). Additionally, alongside the physicochemical analyses, the contents of hydroxymethylfurfural (HMF) and sugars (fructose, glucose, sucrose, and total sugar) were also determined. To assess the antioxidant properties, analyses for total flavonoid content, total phenolic content, DPPH (% inhibition), and ABTS (% inhibition) were performed. Furthermore, the antibacterial activities of the rosehip marmalade samples against pathogenic bacterial strains such as Proteus vulgaris ATCC 29212, Enterococcus faecalis ATCC 29212, Klebsiella pneumoniae ATCC 13883, Staphylococcus aureus ATCC 25923, Pseudomonas aeruginosa ATCC 27853, Salmonella typhimurium ATCC 23566, and Escherichia coli O157:H7 35150 were investigated.
- MakaleAçık Erişim2024Relationship between Organic Agriculture And GDP Per Capita, Economic Growth, and Unemployment: Panel Data Analysis
Merdan, Kurtulus
The increase in the world population recently has also increased the need for agricultural products. The need for food products has made it necessary to obtain more products per unit area. At this point, producers have focussed on the use of hormones, chemicals, and fertilisers to increase productivity and meet the demand for cheap food, and the process that increases production in the short term has become a threat to human health in the long term. Over time, the negative effects of chemicals on humans and the environment were observed, forcing producers to seek new methods. This process has led to independent studies on organic agriculture in every country. In this study, the effects of organic agriculture on some economic variables were revealed. In this context, the analyses focus now the variables of area allocated to organic agriculture on a regional basis, production amount and number of producers affected GDP per capita, economic growth, and unemployment in Turkey between 2003 and 2021. The scientific dimension of the study was prepared using data obtained from domestic and foreign literature and the electronic database of the Ministry of Food, Agriculture and Livestock. In this study, in which panel data analysis was used, EViews 12 programme was employed. For the variables used in the study, the geographical region cross-section dependence was determined, and the stationarity of the series was examined with the CIPS (Cross-Sectionally Augmented IPS) unit root test. As a result of the study, it was determined that organic production amount, number of organic farmers, and organic production area did not have a significant effect on economic growth and unemployment. Organic production area and the number of organic farmers had a positive and significant effect on GDP per capita, but the amount of organic production did not have a significant relationship
- MakaleAçık Erişim2024Evaluation of Antioxidant Properties of Wild and Cultivated Blueberry Leaves and Their Phenolic Compound
Okan, Onur Tolga; Ulusoy, Esra; Öz, Mehmet; Deniz, Ilhan
Aim of study: This study aimed to investigate the antioxidant activity and polyphenol and flavonoid content of blueberry leaves, which could have positive effects on human health. Area of study: The research was conducted in three cities of Turkiye's Karadeniz region, where blueberry cultivation is prevalent: Giresun, Trabzon, and Rize. Material and method: In this study, 29 blueberry leaves (27 cultivated and two wild) were selected as sample materials. The total phenolic content (Folin-Ciocalteu method), total flavonoid content (aluminum (III) chloride method), and total antioxidant capacity (DPPH and FRAP) of the samples were analyzed. Phenolic characterization was performed using HPLC. Main results: The total phenolic content varied between 8.36 and 121.61 mg GAE/g, whereas the total flavonoid content ranged from 0.91 to 3.07 mg QE/g. The results revealed that blueberry leaves had high antioxidant activity and contained considerable amounts of polyphenols and flavonoids. Chlorogenic acid was identified as the dominant compound in all leaves samples. Research highlights: These findings indicate that blueberry leaves could be a valuable source of antioxidants in the food and cosmetic industries, comparable to the fruit itself.
- MakaleAçık Erişim2024The aroma profile of butter produceusing different starter cultures; [Aromatski profil maslaca proizvedenih korištenjem različitih starter kultura]
Şengül, Mustafa; Akgül, Halil İbrahim; Ürkek, Bayram
The aroma of fermented dairy products is greatly influenced by starter cultures and by the lactic acid bacteria strains that are used as starter cultures. Experimental butter samples were produced using no starter culture, by a commercial starter culture (Lactococcus lactis subsp. lactis, Lactococcus lactis subsp. cremoris, Lactococcus lactis subsp. lactis biovar. diacetylactis, Leuconostoc mesenteroides), by a prepared bacteria mix (Lactococcus lactis subsp. lactis EM1, Lactococcus lactis subsp. cremoris EM28, Lactococcus lactis subsp. lactis biovar. diacetylactis G49, Leuconostoc mesenteroides B3), and by a prepared bacteria mix fortified with Lactobacillus rhamnosus B19 (L. rhamnosus B19). The aroma profile of the butter samples was investigated using a gas chromatography mass spectometry method (GC-MS). A total of 92 components were determined in the butter samples, including acids (12), alcohols (20), aldehydes (9), alkanes (6), esters (8), ketones (19) and several other aroma compounds (18). The sample containing the prepared starter culture had the most detectable aroma components, while the lowest number of aromatic components were found in the sample without a starter culture. 2,3-butanedione (diacetyl) was not detected in the sample without a starter culture. 2-Butanone 3-hydroxy-(acetoin) content was the highest in the sample containing the commercial starter culture and the lowest in the sample without a starter culture.
- Derleme MakaleAçık Erişim2024Effect of Different Stabilizers and Rebaudioside A (Reb A) Sweetener on Quality Characteristics of Low-Calorie Orange Marmalade
Öztürk, Şeyda; Baltacı, Cemalettin
Low-calorie orange marmalade was produced using sugar and reb A (0.08%) or reb A-sugar free recipes with pectin (1%) and agar agar (AA) (1%) stabilizers. The physical, chemical, and sensory properties of the marmalades were evaluated. AA stabilizers increased the viscosity of the marmalades compared to pectin, but they did not affect samples with reb A. Low-calorie samples had higher L* and b* values and lower a* values than sugar-containing samples. Total sugar content in reb A samples was 8.30 to 9.28 g/100 g, and it was lower in agar samples produced in parallel with pectin. The hydroxymethyl furfural (HMF) value was lower in sugar-free recipes (3.03 to 3.62) than in sugar-containing samples. Pectin-reb A samples had favorable taste, while AA-reb A samples favored consistency among reb A-containing samples.
- MakaleAçık Erişim2024Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
Catal Reis, Hatice; Turk, Veysel
Early detection of plant diseases is critical to prevent disease spread and assist farmers. Thanks to their high discrimination ability, Convolutional Neural Network (CNN)-based architectures can offer practical solutions in identifying different plant diseases. This study proposes a combined method to classify wheat plant diseases using the Integrated Deep Learning Framework (IDLF) and ensemble learning (EL) model. The proposed method uses pre-trained deep neural networks (ImageNet -based model (w/pre-training)). In addition, in the classification process, the performance of hybrid methods consisting of 13 deep learning architectures (DLA) trained from scratch, pre-trained DLA, deep, and-machine learning models were analyzed. Moreover, the use of hypercolumn, contrast stretching, and “Contrast Limited Adaptive Histogram Equalization (CLAHE)” techniques are used to improve the image quality of the dataset. It is aimed to obtain a strong classification performance by combining these methods. In the experimental process, in the study using the original dataset, the RegNetY080 model trained from scratch had an accuracy value of 97.64%; in the study with the optimized dataset with CLAHE, an accuracy value of 98.33%; in the study performed with the CLAHE-improved dataset and transfer learning method, an accuracy value of 99.58% was obtained. An accuracy of 99.58% was achieved in the proposed hybrid study with the pre-trained RegNetY080 model and Random Forest (RF). The proposed method using IDLF and EL model provided 99.72% accuracy. When the proposed method was applied to the Wheat Leaf Dataset and Wheat Leaf Disease dataset, 97.56% accuracy was obtained for the Wheat Leaf Dataset and 99.43% for Wheat Leaf Disease. The results of this study can be helpful to experts and farmers in the detection of plant diseases.
- MakaleAçık Erişim2024Determination of physicochemical and antioxidant properties of icecream produced with the addition of Jerusalem artichoke (Helianthus tuberosus L.); [Yer elması (Helianthus tuberosus L.) ilavesiyle üretilen dondurmanın fizikokimyasal ve antioksidan özelliklerinin belirlenmesi]
Gündoğdu, Engin
The study investigates the effects of incorporating Jerusalem artichoke (Helianthus tuberosus L.) into ice cream formulations on their physicochemical and antioxidant properties of icecream. Jerusalem artichoke (JA), known for its high inulin content and beneficial carbohydrates, was added to ice cream in varying concentrations (5%, 10%, and 15%) and evaluated for its impact on dry matter, protein, ash, pH, acidity, sugar content, viscosity, volume increase, initial dripping time, total melting time, color values, total phenolic content, DPPH free radical scavenging activity, and total antioxidant capacity.The results revealed that the addition of JA significantly improved the dry matter and antioxidant properties of the ice cream, with the highest values observed in samples containing 10% and 15% JA. Total phenolic content increased from 363.51 mg GAE/kg in the control to 587.47 mg GAE/kg with 15% JA, while DPPH scavenging activity rose from 12.49% to 18.04%. On the other hand, the control sample has the highest total antioxidant capacity (4517.29 mg AAE/kg), while the JA samples generally exhibit lower values. The protein content decreased slightly with the addition of JA, while ash content increased. The pH and titratable acidity values also showed significant changes, with higher concentrations of JA resulting in higher pH and acidity. Overall, the incorporation of JA into ice cream formulations enhances the nutritional and functional properties. These findings suggest that JA is a valuable ingredient for developing functional ice cream with potential health benefits.
- MakaleAçık Erişim2024Assessment of the antioxidant and ACE-inhibitory activities and some quality characteristics of Kaşar cheese produced by probiotic Lactobacillus acidophilus
Gürmeriç, Hüseyin Ender; Şengül, Mustafa; Erkaya-Kotan, Tuba
In this study, four types of Kaşar cheese were produced using raw milk (C), starter culture (Streptococcus thermophilus and Lactobacillus delbrueckii ssp. bulgaricus) (S), starter culture + probiotic Lactobacillus acidophilus ATCC 4356 (SLA), and probiotic L. acidophilus ATCC 4356 (LA) were produced and ripened at 6 ± 2 °C for 150 days. The physicochemical, microbiological, proteolysis, electrophoretic (Urea-PAGE), ACE-inhibitory, and antioxidant activity analyses of vacuum-packed Kaşar cheeses were performed on 5, 30, 60, 90, 120, and 150 days of ripening. During ripening, no significant differences (p > 0.05) were detected in total solids, fat, and protein values of Kaşar cheeses. Titratable acidity, water-soluble nitrogen (WSN), ripening index (RI), and electrophoresis results of cheese samples showed an increase while pH values decreased. Also, the degradation products of αs1-casein were higher than those of β-casein. The number of probiotic L. acidophilus ATCC 4356 after scalding decreased by an average of 1.57 log cfu/g. However, probiotic bacteria count increased during ripening and maintained their viability. The addition of L. acidophilus ATCC 4356 improved the bioactivity, electrophoresis, titratable acidity, and ripening index results of Kaşar cheese. ACE-inhibitory activity of Kaşar cheeses increased during ripening and had the highest value on the 150th day of ripening. Furthermore, antioxidant activity of Kaşar cheeses increased on the 60th day of ripening and then decreased. Consequently, the combination of probiotic bacteria and starter culture had a positive effect on the physicochemical, microbiological, and proteolytic properties of Kaşar cheese.
- MakaleAçık Erişim2024Thermal resistance of Listeria monocytogenes, Escherichia coli O157:H7 and Salmonella in animal fat – Kinetic analysis and mathematical modeling
Ozturk, Samet; Huang, Lihan; Hwang, Cheng-An; Sheen, Shiowshuh
The objective of this study was to evaluate the effect of fat on thermal resistance of L. monocytogenes, E. coli O157:H7, and Salmonella spp. A 4-strain cocktail of each microorganism was inoculated to beef tallow and heated isothermally at temperatures between 55 and 80℃. All survival curves did not follow the 1st-order inactivation kinetics but conformed to a two-stage linear pattern. The first stage was markedly less heat-resistant than the second, as manifested by significantly lower D values. The z values of E. coli O157 H7 and Salmonella spp. were 11.8 °C and 12.3 °C in the first stage (z1) but increased to 23.7 °C and 20.8 °C in the second stage (z2), respectively. For L. monocytogenes, while the z values were similar for both stages (z1 = 19.6 °C and z2 = 18.5 °C), the second stage D values are 3.6–5.9 times of those in the first stage. One-step analysis was used to fit the nonlinear curves to the Weibull model, yielding < 1 exponents for the model (0.495, 0.362, and 0.282, respectively, for L. monocytogenes, E. coli O157:H7, and Salmonella spp.), suggesting gradually increased thermal resistance during heating. The experimental results showed that these microorganisms could resist heating for longer time and at higher temperatures in tallow than they do in regular meats containing lower levels of fat. The kinetic models can be used to develop thermal processes to properly inactivate pathogens contaminated in the fat portions of meat products or other high fat products.
- MakaleAçık Erişim2024Improving radio frequency heating uniformity in peanuts: Effects of packaging geometry, electrode gap, particle size and interlayer displacement process
Tasci, Caner; Liu, Shuxiang; Erdogdu, Ferruh; Ozturk, Samet
This study aimed to assess the impact of various processing parameters including electrode gap, packaging geometry, and particle size on the heating efficiency of radio frequency (RF) processing for peanut thermal decontamination. In addition, interlayer displacements were presented to evaluate the effect of the mixing on heating uniformity. Experimental studies were carried out using 3D-printed polylactic acid (PLA) containers (square, rectangular, and cylindrical) to place the peanut samples with particle sizes ranging from 0.71 to 2.00 mm at 100–140 mm electrode gaps. Temperature changes within the samples were monitored using fiber optic sensors and surface temperature distributions were determined with an infrared camera. Heating uniformity index (λ) was then calculated to assess the effects of RF processing conditions on RF heating uniformity. Results showed that the cylindrical container exhibited a more consistent and uniform heating profile (λ = 0.12) with 1.58 °C min−1 heating rate compared to other containers, and a single interlayer displacement between top and bottom layers further improved temperature distribution uniformity. Smaller particle sizes also led to faster heating rates from 1.71 to 1.55 °C min−1 with more uniform heating due to the reduced porosity within the particles with increased thermal conduction and electromagnetic energy absorption. This study presented valuable insights for developing an effective RF process as an alternative to conventional thermal treatments for decontamination of low-moisture, high-fat particulate foods. Industrial significance: This research presented an innovative approach applying RF heating for a possible decontamination process for peanut samples. The research tackled the growing worldwide consumer demand for food products to satisfy food safety regulations while peanuts were selected to demonstrate the process effect due to the recent food safety issues in peanut butter considering that a pre-process for decontamination would lead to a decrease in the resulting safety issues.
- Derleme MakaleYayıncıda açık erişim2024From Garden to Pillow: Understanding the Relationship between Plant-Based Nutrition and Quality of Sleep
Arslan, Neslihan; Bozkır, Eda; Koçak, Tevfik; Akin, Meleksen; Yilmaz, Birsen
The effect of diet on sleep quality has been addressed in many studies; however, whether/how plant-based diets (PBDs) impact sleep-related parameters has not been explored in detail. This review aims to give an overview of the components of PBDs and the possible mechanisms through which PBDs may improve sleep quality. Studies have indicated that diets such as PBDs, which are typically high in fruits, vegetables, nuts, seeds, whole grains, and fiber, are associated with better sleep outcomes, including less fragmented sleep and improved sleep duration. Several mechanisms may explain how PBDs impact and/or improve sleep outcomes. Firstly, PBDs are characteristically rich in certain nutrients, such as magnesium and vitamin B6, which have been associated with improved sleep patterns. Secondly, PBDs are often lower in saturated fats and higher in fiber, which may contribute to better overall health, including sleep quality. Additionally, plant bioactive compounds like phytochemicals and antioxidants in fruits, vegetables, and herbs may have sleep-promoting effects. According to available data, PBD and Mediterranean diet elements promise to enhance sleep quality; however, it is crucial to note that diets should be customized based on each person’s needs.
- MakaleAçık Erişim2024Advanced Tomato Disease Detection Using the Fusion of Multiple Deep-Learning and Meta-Learning Techniques
Catal Reis, Hatice
Automatic and early detection of diseases in crops is important for producers in terms of product yield. Methods are needed to diagnose the disease and select interventions for tomato leaf. This study aims to create a novel framework for automatically extracting tomato leaf disease. The recommended method automatically detects diseases in three classes: healthy, early, and late blight. This study developed a multi-deep and meta-learning fusion framework that automatically combines modern deep-learning algorithms and meta-classifiers to detect tomato leaf disease. The study includes CNN, transformer, and MLP-based models previously trained with the ImageNet dataset and voting classifier (VtC) methods, which are meta-classifiers. Hybrid approaches have been developed using the VtC method and deep learning algorithms such as CoAtNet, FasterNet, FastViT, WaveMLP, and DenseNet201. In addition to the proposed hybrid framework, different types of deep learning models based on CNN, transformer, MLP, transfer learning, and the dataset improved by the CLAHE technique and the original dataset were used to diagnose tomato leaf diseases. While CNN-based modern architectures include DenseNet201, MobileNet, LCNet, GhostNet, CoAtNet, ConvMixer, and FasterNet, transformer architectures include BeiT, FlexiViT, MaxViT, FastViT, and MLP-based architectures include MLP mixer and WaveMLP models. In the classification performed with original images, the proposed method produced incorrect results in only five images among 900 test data. In the classification made with CLAHE images, the proposed hybrid framework produced the most successful result in this study, producing incorrect results in only four images.
- MakaleAçık Erişim2024Characterization of cellulose produced by bacteria isolated from different vinegars
Güzel, Melih
Traditional vinegars are naturally produced from sugar- or starch-containing raw materials, through alcoholic fermentation followed by acetic fermentation. Fermentation is a spontaneous and complex process involving interactions between various microorganisms. In this study, we produced vinegar using traditional methods from six fruits: rosehip, pear, fig, wild pear, apple, and plum. Bacteria that produce bacterial cellulose (BC) were isolated from these vinegars and identified. In addition, we investigated the properties of BC produced from these bacteria. The strains isolated from vinegars were identified as Gluconobacter oxydans strain MG2022, Acetobacter tropicalis strain MG2022, Acetobacter fabarum strain MG2022, Komagataeibacter saccharivorans strain MG2022, K. saccharivorans strain EG2022, and Acetobacter lovaniensis strain OD2022. In total, 0.83–2.04 g/L BC was produced and the bacterial strain isolated from pear vinegar yielded the most BC. BC produced by the bacterial strain isolated from wild pear vinegar had the highest thermal stability and crystallinity (87.44 %). Overall, this study shows that different fruits contain different BC-producing bacteria in their natural flora and vinegars obtained from fruits can be used in BC production. Also, different BC-producing bacteria can be isolated from different vinegars, and BC produced by these bacteria might have different properties.
- MakaleAçık Erişim2024Production and Enrichment of Erucic Acid Methyl Ester Analytical Standards from Natural Oils for Food Control Analysis
Karabaş, Yağmur; Gül, Abdulkadir; Karpuz, Ömer; Akdoğan, Arda; Baltacı, Cemalettin
Foods high in erucic acid (EA), a fatty acid considered a natural toxin, can pose various health risks. Studies have reported that people exposed to high levels of EA are more likely to experience cardiovascular disease, are susceptible to myocardial adiposity, and have increased rates of diabetes. Therefore, in 2019, the European Commission (EC) declared that the maximum EA content in vegetable oils should be no more than 2%. These regulations require EA analysis in import and export food samples. A methyl ester of EA (EAME) standard is required to analyze EA content. In many countries, this analytical standard is not available and is being imported. This study endeavored to economically produce the EAME standard, which is in high demand due to mandated analysis, using natural oils. Initially, the fatty acid amounts in the food samples were analyzed by the gas chromatography–mass spectrometry/flame ionization detection (GC-MS/FID) method. The analyses revealed that mustard seed oil had the lowest EA content, while yellow mustard seed oil had the maximum EA content. The esterification was conducted on the samples containing both high and low EA, resulting in an efficiency of approximately 80%. The crystallization process was subsequently repeated to increase the EA quantity until the highest EAME content was obtained. By this process, 14 different concentrations of EAME ranging from 2.33 to 55.66% were produced. These results demonstrate the first successful production of EAME standards from natural oils that can be used in validation and internal quality control studies for food control analysis.
- MakaleAçık Erişim2024Determination of fatty acid, cholesterol, alpha-tocopherol, and aroma components of traditionally and commercially produced Trabzon butters
Gündoğdu, Engin; Beşer, Musa
This study investigated 29 butter samples from Trabzon, Turkey. Cholesterol contents ranged from 134.13 to 325 mg/100 g, α-tocopherol contents ranged from 1.62 to 3.37 mg/100 g, and β-carotene contents ranged from 4.46 to 15.60 μg/g. Fatty acid composition analysis showed variations, with palmitic acid ranging from 26.11 % to 44.25 %, oleic acid from 19.55 % to 29.80 %, and linoleic acid from 1.63 % to 3.04 %. A total of 44 aroma components were identified. Traditional butter samples exhibited differences in aroma components and fatty acid composition compared to commercial butter. Notably, traditional butter had higher concentrations of octanoic and n-decanoic acids than commercial butter. Moreover, some aroma components such as N-butanoic acid 2-ethylhexyl ester, decanoic acid, and pentadecane were found exclusively in traditional butters. Traditional butter showed higher α-tocopherol and β-carotene contents. These findings underscore the distinct chemical profiles of traditional and commercial butter samples, influenced by production methods and possibly geographical origin.
- MakaleAçık Erişim2024Rheological properties of pestil enriched wheat, potato and corn flour using simplex lattice mixture design
Yuksel, Ferhat; Yavuz, Busra; Tunç, Merve Tuğçe
In this study, pestil was made using various concentrations of wheat, corn, and potato flours and the ideal flour combination amounts were determined using the simplex lattice mixture design technique. The apparent viscosity, G' (elastic modulus), G'' (viscous modulus), and tan δ (G''/G') analyses were determined. In all samples, it is seen that viscosity reduces while shear rate increases. This type of behaviour is pseudoplastic behaviour. While the highest apparent viscosity was observed in the 13th sample (12 g/100 g potato flour), the lowest was seen in the 11th sample (12 g/100 g wheat flour). In all samples, the elastic modulus (G') was higher than the viscous modulus (G''). The ANOVA table shows that linear data have a significant (p<0.05) effect on apparent viscosity, G', G'', and tan δ values. In general, formulations using potato flour show higher apparent viscosity values. Also, it is observed that the tan δ, G', G'' and apparent viscosity values increase with the addition of potato flour.
- Derleme MakaleAçık Erişim2024Aflatoxin Detoxification by Biosynthesized Iron Oxide Nanoparticles Using Green and Black Tea Extracts
Gedikli, Hasan; Akdogan, Arda; Karpuz, Omer; Akmese, Osman; Kobya, Havva N.; Baltaci, Cemalettin
Researchers have recently been interested in employing nanoparticles (NPs) obtained from herbal extracts through green synthesis for various applications. This study investigated the detoxification of aflatoxins, which are toxic substances produced by molds Aspergillus flavus and Aspergillus parasiticus. The present work examined the levels of aflatoxins in hazelnut and peanut puree. Turkish black tea extract (BTE), Turkish green tea extract (GTE), green synthesized black tea-based iron oxide nanoparticles (BTFeONPs), and green tea-based iron oxide nanoparticles (GTFeONPs) were produced for aflatoxin removal. Characterizations and various antioxidant and antimicrobial activities of the tea extracts and iron oxide nanoparticles (FeONPs) were investigated. The aflatoxin levels of hazelnut puree used for this study were 6.57 ± 0.06 µg/kg for aflatoxin B1 and 13.03 ± 0.16 µg/kg for total aflatoxin, whereas the aflatoxin levels of (AFLB1) peanut puree were 7.79 ± 0.15 µg/kg for AFLB1 and 15.21 ± 0.12 µg/kg for total aflatoxin. Using soluble BTE resulted in a 40 to 50% decrease in aflatoxin levels in hazelnut and peanut purees, while soluble GTE led to a 30 to 45% decrease. Meanwhile, using BTFeONPs and GTFeONPs resulted in a 33 to 48% and 40 to 50% decrease, respectively, in aflatoxin levels in hazelnut and peanut purees.
- MakaleAçık Erişim2024Factors affecting decisions of farmers to produce geographical indication dry beans: a case from Turkey
Dogan, Nilgun; Adanacioglu, Hakan
Geographical indications (GIs) are defined as labels that show the relationship of a product with a certain region. They are of great importance in terms of distinguishing these products from the similar ones in terms of the quality that the characteristic features of the region bring to the product, making them stand out commercially, contributing to the rural development and preserving the cultural heritage. Dry beans cultivated by the farmers in the Gümüşhane province is newly recognized as a GI product that is unique in both taste and quality. This study is intended to identify the factors affecting the farmers’ decision to produce GI-labelled dry beans. The survey was conducted in January–March 2021. A sampling size of the participants consisted of 50 farmers who cultivated GI-labelled dry beans and 50 non-GI dry beans. A binary logistic regression analysis approach was employed to identify the factors affecting the likelihood of the farmers cultivating the GI dry beans. The results of the model indicate that the young farmers with the low educational level, the low property land size, the low yield per decare, and the large farmland, the high annual agricultural income and specializing in the dry beans production are more likely to engage in the production of GI dry beans. For the farms involving the GI product, agricultural associations can be advised with the farmers with the wider agricultural acreage and the high annual agricultural income, and that specialize in the production of such products. The participation of the farmers in the agriculture enterprises involving the GI dry beans will depend on them seeing positive widespread effects, which requires a long-term commitment.
