Yazarlar
- Aglar, Erdal(14)
- Benzer, Fulya(14)
- Kocabaş, Mehmet(13)
- Sabanci, Serdal(12)
- Özçiçek, Esin(12)
- Icier, Filiz(10)
- Karaca Sanyürek, Nesrin(10)
- Kutluyer, Filiz(10)
- Kuzgun, Nermin Karaton(10)
- Topal, Murat(9)
- Aksu, Önder(8)
- Can, Erkan(8)
- Cevik, Mutlu(8)
- Kayim, Murathan(8)
- Dikici, Abdullah(7)
- Karakavuk, Emrah(7)
- Kizak, Volkan(7)
- Kocabas, Mehmet(7)
- Macit, Arife(7)
- Ozturk, Burhan(7)
- Öbek, Erdal(7)
- Erişir, Mine(6)
- Ertekin, Özlem(6)
- Gundogdu, Muttalip(6)
- Ince, Muharrem(6)
- Omac, Basri(6)
- Sabancı, Serdal(6)
- Yaman, Mehmet(6)
- Aydın, Sevinç(5)
- Erguven, Gokhan Onder(5)
- Erisir, Mine(5)
- Erol, Nida Demirtas(5)
- Goksu, Ali(5)
- Kizil, Mevlude(5)
- Kutluyer Kocabaş, Filiz(5)
- Serdar, Osman(5)
- Yilmaz, Ökkeş(5)
- Çimen, Murat(5)
- Şeker, Engin(5)
- Altınterim, Başar(4)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1Quantifying agricultural resilience under climate variability: a data-driven climate resilience index for European cereal systems
Utku, Anil; Radulescu, Magdalena; Barut, Abdulkadir; Alofaysan, Hind
Climate variability and extreme weather events pose an increasingly serious threat to agricultural productivity in Europe. Although many studies have focused on the mean yield response to climate change, relatively few have attempted to offer a comprehensive, multi-dimensional view of agricultural resilience, separating long-term productivity trends from short-term climate-induced fluctuations. In this paper, a data-driven Climate Resilience Index is proposed to assess the resilience of European cereal systems under climate stress. Annual yield time series are decomposed into trend and anomaly components to identify interannual deviations driven by climate variability. Machine learning and deep learning algorithms, including RF, CatBoost, CNN, LSTM, TCN, and a TCN-LSTM hybrid model, are used to assess the predictive validity of climate extreme indices and persistence patterns. Among the evaluated models, the TCN-LSTM architecture achieved the highest predictive performance with 0.8347 R2, outperforming standalone temporal and ensemble-based models. The PCA-based exposure framework explained 68.4% of the total climate variability within the first principal component, indicating a highly concentrated climate-stress structure. Feature importance analyses further revealed that lagged yield anomalies and rolling volatility indicators were the dominant predictors of resilience dynamics. The findings show that temporal models perform better than traditional ensemble methods, emphasizing the significance of multi-year recovery mechanisms in anomaly evolution. To provide a consistent measure of exposure, principal component analysis is used to reduce correlated climate indicators into a multi-dimensional climate stress index. The CRI captures these three essential elements: climate exposure, yield variability, and recovery. The results at the country level show substantial variability across Europe, indicating that while exposure intensity is important, recovery dynamics are also critical to understanding resilience. The results also show that there are structurally distinct resilience profiles, and robustness tests indicate that country rankings are not sensitive to different weights and recovery functions. The results clearly show that recovery and adaptive capacity are critical to agricultural sustainability amid growing climate uncertainty. The CRI developed in this paper provides a clear, empirically valid framework for comparing resilience in agricultural systems.
AtıfScopus1OpenAlex2
İncele - MakaleAçık Erişim2026Scopus SJRQ2Relative Efficiencies of Live, Dry and Mixed Food Diets for Larval Rearing of Tigris Scraper (Capoeta umbla) and the Influence of Stocking Density on Fry Growth Characteristics
Gün, Abdulselam; Kızak, Volkan; Gündüz, Fatih
In this research, larval growth features by applying different diets and growth characteristics of fry at different stocking densities were studied under controlled conditions for the Tigris scraper (Capoeta umbla). In the first experiment, the growth and survival rates of Tigris scraper postlarvae were evaluated under three different diet regimes over 21 days. The highest mean total length was 24.04±0.27 mm in the group L1 fed solely Artemia nauplii, and the lowest mean total length was 17.89±0.16 mm in the group L2 fed only dry feed. The highest mean specific growth rate was in the L1, and the lowest mean specific growth rate was in the L2. In the second experiment in which the growth characteristics of fry were investigated at different stocking densities for 98 days, the highest mean live weight was found in S1 with 2.819±0.157 g and the lowest mean live weight was determined as 0.859±0.073 g in S5. The highest mean specific growth rate was in S1, while the lowest rate was in S5. High stocking densities were found to be disadvantageous for growth of C. umbla fry. The findings suggest that successful rearing of Tigris scraper postlarvae and fry is feasible under controlled conditions.
- MakaleAçık Erişim2026Scopus SJRQ2A New Product: Determination of Shelf Life of Fish Onion Rings at Freezer Temperature
Kuzgun, Nermin Karaton
The enrichment in terms of fish protein of fast food products is becoming increasingly important day by day. The aim of this study was to determine the shelf life of a new product—fish onion rings—under deep-freezing conditions (−18°C). Minced fish meat (180 g) was combined with minced onion (350 g), water (220 mL), corn flour (50 g), wheat flour (180 g), and salt (20 g), and the mixture was blended with a mixer until a homogeneous texture was obtained. Then, the mixture was shaped into onion rings using a dough-shaping tool (manually). The chemical, sensory, and microbiological quality attributes of the fish onion rings were recorded at 30-day intervals. In the samples, deterioration was observed at the end of the 180th day (as chemical, sensory, and microbiological quality). In the fish onion ring group, the TBA (0.07 ± 0.05–3.02 ± 0.97) and peroxide (0.19 ± 0.18–4.40 ± 0.31) values remained similar during storage. In the microbiological analysis of the experimental fish onion rings, the total viable count (TVC) was 2.63 ± 0.15 on Day 0. Furthermore, the samples underwent sensory evaluation for appearance, odor, and taste. It was determined that the most preferred group was the fish-supplemented group.
- MakaleYalnız künye2026Scopus SJRQ2Oxalic Acid–MAP Synergy in Maintaining Postharvest Grape Quality and Biochemical Content
Küçüker, Emine; Ağlar, Erdal; Sümbül, Ahmet; Demir, Selda; Özcengiz, Ceyda Kizgin; Güzel, Sedat
This study was conducted to investigate the effects of oxalic acid (OA) and modified atmosphere packaging (MAP) applications, both alone and in combination, on the preservation of postharvest quality characteristics of grapes. All samples were stored at 4 ± 1 °C and approximately 80–85% relative humidity for 28 days. The OA + MAP treatment most effectively limited weight loss (10.49%), soluble solids content (SSC; 20.62°Bx), and decay rate (1.78%), while providing the best preservation of total phenolic content (68.25% change), antioxidant activity (53.19% change), and individual phenolic compounds at the end of the storage period. A decrease in color parameters, including L* and a* values, was observed, with OA treatment particularly prominent in preserving the red color. Principal component analysis and hierarchical heatmap analysis confirmed distinct clustering of treatments from the control, highlighting the process efficiency of packaging-based interventions. The combination of OA and MAP treatments was more effective than either treatment alone in reducing quality losses in grapes during storage. Therefore, the widespread use of OA + MAP in commercial storage and marketing processes is recommended.
- MakaleYalnız künye2026Scopus SJRQ2Development and Characterization of Starch/Microcrystalline Cellulose/Bentonite Intelligent Packaging Films Incorporated With Red Beet Peel Extract for Monitoring Chicken Freshness
Gürler, Nedim
This study presents the physical, mechanical, antioxidant, and application properties of films prepared by adding red beet peel extract to the starch/microcrystalline cellulose/bentonite clay polymer composites by casting method to monitor chicken breast freshness. The effects of bentonite in different proportions (0%, 1%, 5%, and 10%) were investigated. The structure of the films was elucidated by XRD, FTIR spectroscopy, and SEM for surface morphology of films. Regarding mechanical testing, the highest tensile strength starch/microcrystalline cellulose-1% bentonite film was 0.88 MPa. It was noticed that water vapor permeability (WVP) improved with the addition of bentonite. Films containing 10% bentonite clay showed a 27% decrease in water vapor permeability compared to films without clay. However, the swelling power of composites increased as the bentonite content increased. Additionally, with the addition of clay the films exhibited more opaque properties. Red beet peel extract was also incorporated to the polymer composite to monitor chicken breast freshness. The antioxidant properties of the films were accomplished using DPPH method. When red beet peel extract was incorporated into the polymer film, the highest DPPH scavenging activity increased by 50%. In summary, starch/microcrystalline cellulose/bentonite films can be used as pH-sensitive intelligent packaging for controlling the freshness of chicken breast.
- MakaleAçık Erişim2026Scopus SJRQ1Health risk assessment of heavy metal accumulation in fruits exposed to geothermal waters: a case study and global implications
Arslan Topal, E Işıl; Topal, Murat; Çelik, Erdal; Öbek, Erdal
BACKGROUND: The present study investigated the potential health risks of heavy metals (HMs) in the fruits and leaves of mulberry and sour cherry trees exposed to water from Sivas geothermal basin (Turkey). RESULTS: The target HMs were ranked according to their hazard index as: Cd < Pb < Zn < Cu < Ni < Mn < Cr. The total hazard index for mulberry and sour cherry fruits was calculated as 7.87 and 4.57, respectively, and was determined to be well above the safe threshold value of 1.0. At the same time, the calculated cancer risk values exceeded the established maximum limit (1.0 × 10−4) for Ni (6.4 × 10−3) in mulberry fruit and for Cr (1.15 × 10−3) in sour cherry fruit. Ingestion has been identified as the primary route of exposure. The study results showed that Cr and Ni metals were ranked in the order of mulberry fruit > sour cherry fruit > mulberry leaf > sour cherry leaf, and that for mulberry and sour cherry fruit. CONCLUSION: The findings indicate that edible foods exposed to geothermal waters may have adverse effects on human health. Furthermore, the study highlights the necessity of reducing water discharges from geothermal fields and implementing phytoremediation strategies to ensure food safety in geothermally active agricultural basins.
- MakaleYalnız künye2026Scopus SJRQ1Boron source–dependent regulation of bone mineralization and osteogenic molecular pathways in broilers with tibial dyschondroplasia
Orhan, Cemal; Sahin, Emre; Erten, Fusun; Er, Besir; Sahin, Nurhan; Ozercan, Ibrahim Hanifi; Kom, Mustafa; Akdemir, Fatih; Balci, Tansel Ansal; Denli, Muzaffer
Rapid genetic selection for growth rate and slaughter weight in broilers has been associated with a higher incidence of skeletal disorders, particularly tibial dyschondroplasia (TD), which causes considerable economic losses in poultry production. We investigated the effects of boric acid (BA) and sodium pentaborate pentahydrate (SPP) on growth performance, bone mineralization, tibial histopathology, and osteogenic protein expression in broilers with manganese (Mn) deficiency-induced TD. A total of 360 Ross 308 broiler chicks were used in a 2 × 2 × 3 factorial design with TD status (normal or Mn deficiency–induced TD), boron source (BA or SPP), and supplemental boron level (0, 4.37, and 8.74 mg elemental B/kg diet). Birds were randomly allocated to 12 groups with six replicates of five birds each. Clinical and histopathological findings confirmed TD induction. TD decreased body weight, feed intake, and carcass weight, while increasing feed conversion ratio (p < 0.05). Boron supplementation improved tibial mineral density and content in a dose-dependent manner (p < 0.05). In TD broilers, serum osteocalcin (OCN) concentrations were higher with high-level SPP supplementation than with BA supplementation (p = 0.012). Boron source and level significantly affected serum and bone boron concentrations, bone calcium concentrations (p < 0.05). In TD broilers, tibial osteoprotegerin levels were markedly elevated in the high-level SPP group (p < 0.001), whereas SRY-box transcription factor 9, hypoxia-inducible factor-1α, and tumor necrosis factor-α were reduced (p < 0.05). These findings indicate that SPP exerts regulatory effects on bone metabolism and osteogenic signaling pathways in TD-affected broilers.
- MakaleAçık Erişim2026Scopus SJRQ2Risk Assessment via Hazard Scenario in Cereal Production Under Rising CO
Susam, Selim Orhun; Peker, Ayse Esra; Hudaverdi, Burcu
Global food security has been seriously threatened by air pollution and climate change. The impact of CO on crop output is complicated because of its interactions with temperature, nutrient availability, and other pollutants, even though it is necessary for photosynthesis. This study develops a copula-based hazard modeling framework to assess how increasing CO concentrations affect cereal production risk across multiple crops. By integrating hazard scenario analysis with localized dependence measures, we estimate both failure probabilities and dynamic associations between CO emissions and cereal yields. A novel localized version of Kendall’s implemented via a Bernstein copula approximation, enables flexible modeling of heterogeneous and nonlinear dependence structures. As the relationship between CO emissions and crop-specific yields changes in both density and direction, it may indicate asymmetries or nonlinearities that are missed by measures of global dependence. Empirical results reveal distinct crop-specific responses. While CO levels enhance yields for rice, millet, and sugar beet, they reduce or destabilize production for rye and lentil, indicating asymmetric sensitivities. Failure probabilities increase with the time horizon, reflecting the accumulation of climate-related production risk. The findings emphasize the significance of integrating probabilistic hazard modeling into climate-resilient agricultural planning and food security policies, as crop-specific risk exposure has increased in recent time periods.
AtıfWoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Federated agricultural yield forecasting under an Edge–Fog–Cloud framework: a multi-country privacy-preserving approach
Utku, Anıl; Barut, Abdulkadir; Alofaysan, Hind; Henni, Mohamed Djafar; Amoozegar, Azadeh
Predicting agricultural yields is crucial for ensuring global food security and adaptation to climate change. However, the centralized collection of agricultural data across countries might pose governance, privacy, and data sovereignty issues. This research presents a privacy-preserving model for predicting agricultural yields using federated learning within an edge-fog-cloud integrated architecture. The experiments have been performed on a European cereal production dataset for the period 1990–2022, using a time-aware forecasting scheme. Centralized, edge-only, federated, and hybrid learning techniques have been systematically compared to examine the influence of distributed optimization on forecasting performance. It can be seen that central classical machine learning algorithms have yielded the best predictive performance. Federated deep learning models, meanwhile, showed relatively poor forecasting accuracy compared to their centralized counterparts under a non-IID distribution of multi-country agricultural data. Edge-only learning, meanwhile, has yielded comparatively low generalization capabilities due to the absence of collaborative learning.
- MakaleAçık Erişim2026Scopus SJRQ4Effectiveness of organic tomato (Solanum lycopersicum L.) extracts added to yeast Cell Culture against H2O2 Toxicity; [Eficácia de extratos de tomate orgânicos adicionados à cultivos de células de levadura contra la toxicidad por H2O2]
Gonayli, Selahattin; Temizer, Ibrahim Akin; Aydin, Sevinq; Kirmizikaya, Gorkem; Okutan, Tuba; Yilmaz, Okke$
Growing tomatoes in season and organically are an important factor in terms of carrying higher levels of antioxidant molecules. This study aimed to demonstrate the protective effect of extracts obtained from naturally grown tomatoes, which are widely used as food, against oxidative damage caused by hydrogen peroxide on yeast cells (Saccharomyces cerevisiae L.). Lipophilic vitamins, phytosterol content, gluathione and oxidised gluathione content were analyzed by Shimadzu brand high performance liquid chromatography, while fatty acid analysis was performed by Shimadzu GC 2010 Plus Gas Chromatography. Protein content was analyzed spectrophotometrically. The study groups were designed as control, hydrogen peroxide, tomato and tomato + hydrogen peroxide. In all groups added with hydrogen peroxide and tomato extract compared to the hydrogen peroxide group; it was observed that vitamin D2, α-Tocopherol, β-Sitosterol and Stigmasterol contents increased significantly. Again, it was observed that ergosterol level increased significantly in the D + hydrogen peroxide group compared to the hydrogen peroxide group. When the fatty acid analysis results were examined, it was determined that in all groups added to the cultured yeast with hydrogen peroxide and tomato extracts (except the B + hydrogen peroxide group), there were increases in 16:0, 16:1, n-7, 17:0, 17:1 and 18:0 fatty acid levels compared to the hydrogen peroxide group. On the other hand, when its effect on protein and gluathione levels was examined, more significant increases were determined in all groups with tomato extract addition compared to the hydrogen peroxide group. At the end of the study, it was observed that tomato extracts had positive effects against hydrogen peroxide toxicity in yeast cells, although at different levels in terms of fatty acid, vitamin and phytosterol contents.
- MakaleAçık Erişim2026Scopus SJRQ1Pomological and Biochemical Properties of Rosehip (Rosa canina L.) Genotypes
Ertugrul, Edanur; Aglar, Erdal; Ozturk, Burhan; Tekin, Onur; Alan, Davut; Ates, Umut
Rosehip (Rosa canina L.) is an important wild fruit species valued for its high nutritional and functional properties, particularly its richness in vitamin C, phenolic compounds, and antioxidant activity. Despite the widespread natural distribution of rosehip in Türkiye, many local genetic resources remain insufficiently characterized, limiting their effective utilization in breeding, conservation, and cultivation programs. The present study was conducted to evaluate the morphological, pomological, and biochemical characteristics of naturally growing rosehip genotypes in the Central District of Tunceli and to identify superior genotypes with potential for future breeding and cultivation efforts. Ten rosehip genotypes collected from natural populations at altitudes ranging from 1178 to 1256 m were evaluated for fruit and seed characteristics, fruit color, soluble solids content, titratable acidity, vitamin C, phenolic compounds, flavonoids, anthocyanins, antioxidant activity, and organic acid composition. Significant differences were observed among genotypes for all examined traits. Fruit weight ranged from 1.00 to 1.81 g, soluble solids content from 45.40% to 51.90%, titratable acidity from 1.03% to 2.77%, and vitamin C content from 235.67 to 1126.30 mg/100 g. Total phenolic content, total flavonoid content, total monomeric anthocyanin content, FRAP, and DPPH antioxidant activity values also varied significantly among genotypes. Organic acid analysis revealed considerable variation, particularly in citric and malic acid contents. Principal component analysis explained 92.4% of the total variation and grouped the genotypes into two major clusters. Based on the overall evaluation, genotypes TK2, TK5, TK9, and TK10 exhibited superior performance for several desirable traits. The results demonstrate the substantial genetic diversity present in the natural rosehip populations of Tunceli and highlight their potential value for germplasm conservation, selection breeding, and sustainable cultivation programs.
- Derleme MakaleYalnız künye2026Scopus SJRQ1Assessing the Impact of Climate Change on the Sustainability of Sorghum Production: A Bibliometric Analysis
Zheng, Mingke; Tutar, Halit; Shaghaleh, Hiba; Alhaj Hamoud, Yousef; Er, Hasan; Omac, Basri; Yildirim, Gokhan; Eren, Ömer; Khalifa, Muhammad; Mwamahonje, Andekelile
Sorghum is a crucial crop for sustainable agriculture due to its drought resistance, low carbon footprint, and diverse applications in food, feed, and bioenergy. However, understanding the impact of climate change on sorghum production is essential for ensuring its future sustainability. This study conducts a comprehensive bibliometric analysis of scientific publications related to sorghum and climate change using the Web of Science (WoS) database, covering the period from 1984 to 2024. A total of 1053 relevant papers were analyzed, revealing an average annual growth rate of 12.73% and an average citation count of 32.02 per document. Most of the publications (83.5%) were research articles, while 9.7% were review papers. Among the contributing researchers, Prasad PVV emerged as the most productive author based on an h-index of 13, whereas the United States was identified as the most influential country, contributing 235 documents and 13,750 citations. Keyword clustering analysis identified five major research themes, including sustainable energy and environmental impacts, climate resilience, socioeconomic effects of climate change, and key crops. The findings of this study offer valuable scientific insights to guide future research and policymaking on climate change and sorghum sustainability.
AtıfScopus4OpenAlex3İncele - MakaleAçık Erişim2026Scopus SJRQ2Ultrasound assisted extraction of phenolic compounds from Tunceli walnut varieties using deep eutectic solvents
Aydin, Çağlar Mert
This study aimed to improve a green way to enhance extraction of bioactive compounds from walnut, and to evaluate the effect of altitude on walnut bioactive content. Total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity were evaluated as bioactive compounds of walnut. In comparison with conventional solvents (water, ethanol and methanol), three DESs (Deep eutectic solvents) were formed from choline chloride, zinc chloride, and sorbitol as HBA and ethylene glycerol as HBD. The DESs (DES-1 and DES-2) generated from choline chloride and zinc chloride exhibited better extraction efficiencies for any bioactive compound than that of conventional solvents. Especially, the DES formed from the choline chloride: ethylene glycerol demonstrated the highest extraction efficiency. However, sugar-based DES showed the worst extraction efficiency. The altitude significantly affected extracted bioactive contents from walnuts (Hozat 1000m, Ovacik 1300m and Nazimiye 1550m). Walnut’s extracted bioactive content ordinarily decreased as the altitude increased, regardless of solvent type used in extraction. The result is a light to enhancing knowledge as to DES usage and its extraction efficiency of bioactive compounds for food applications. In addition, it gives better understanding of altitude effect on the content of bioactive compounds in walnuts.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2026Scopus SJRQ1Dietary exposure and health risk assessment of fumonisins through the consumption of maize and maize-based gluten-free products in individuals with celiac disease
Tuyben, Eylem Ezgi; Sevim, Sumeyra; Macit, Arife; Kizil, Mevlude
Introduction: Individuals with celiac disease (CD) must adhere to a gluten-free diet (GFD) and are therefore at high risk of fumonisin exposure due to their high consumption of maize and maize-based products. This study aimed to determine the concentrations of fumonisins (FB1, FB2, and FB3) in packaged gluten-free (GF) maize and maizebased products sold in Turkey and to assess dietary exposure and health risks in adults with CD using a probabilistic approach. Methods: Fumonisin concentrations of 51 GF products were analyzed by Enzyme-Linked Immonosorbent Assay (ELISA) and daily food consumption data were collected from 67 individuals with CD through a food frequency questionnaire. Exposure was estimated using Estimated Daily Intake (EDI) values and probabilistic risk assessment with Monte Carlo simulation. Results: The highest fumonisins concentrations were detected in the pasta/rice/bulgur group, while the flour/starch group was the food group contributed most to total fumonisins exposure due to higher consumption. Although the average EDI values were below the Tolerable Daily Intake (TDI; 1 μg/kg bw/day) set by European Food Safety Authority’s (EFSA) and Provisional maximum tolerable daily intakes (PMTDI; 2 μg/kg bw/day) established by Joint Expert Committee on Food Additives’s (JECFA) values, individuals at the 95th percentile approached 132.88–167.89% of the PMTDI value in the flour/starch group and 79.00–82.38% in the pasta/rice/bulgur group. Discussion: These findings highlight the need for continuous monitoring and stricter regulatory oversight and dietary guidance to protect vulnerable populations.
- MakaleAçık Erişim2026Scopus SJRQ1Impact of Postharvest Oxalic Acid Treatments on Quality Properties and Biochemical Composition of Medlar (Mespilus germanica L.) Fruit
Çolak, Ayşen Melda; Gündoğdu, Özlem; Aglar, Erdal; Sezgin, Nevzat; Orman, Erdal; Gundogdu, Muttalip
This study was conducted to investigate the effects of oxalic acid (OA) applications at different concentrations on the quality traits and biochemical components of medlar (Mespilus germanica L.) fruit. Fruits harvested in Bolu province in 2024 were subjected to control (0) and 0.5, 1.0, and 1.5 mM OA applications and stored at 4°C and 90% ± 5% relative humidity for 45 days. Samples were taken from the fruits at certain intervals (0, 15, 30, and 45 days) and analyzed. Specifically, 1.0 and 1.5 mM OA applications significantly reduced fruit weight loss and decay rates. OA also inhibited increases in fruit respiration rate and pH and slowed the decline in total acidity, soluble solids content (SSC), vitamin C, phenolic compounds, and organic acids. Malic, citric, succinic, tartaric, and fumaric acids, vitamin C, and important phenolic compounds (chlorogenic acid, gallic acid, quercetin, catechin) were protected by OA applications, and this protection was most pronounced at 1.5 mM OA dose. The correlation analyses revealed significant relationships between quality parameters and biochemical contents. The weight loss and decay rate were negatively correlated with bioactive compounds such as gallic acid and ascorbic acid, indicating that quality deterioration progressed in parallel with the decrease in nutrient content. A strong positive correlation was found between titratable acidity and malic and citric acids. In principal component analysis (PCA), malic and citric acids were prominent in the early storage period, while weight loss, decay, and increased respiration became dominant in the late storage period. Phenolic compounds decreased significantly with storage time, and antioxidant capacity decreased. Heat map analysis visually supported the increase in spoilage parameters with the decrease in ascorbic acid and phenolic compounds. OA applications maintained the quality of medlar fruit and increased biochemical stability, extending postharvest life. 1.5 mM OA, in particular, stands out as an effective postharvest preservation method. These results demonstrate that OA offers significant potential for increasing the commercial value of perishable fruits like medlar and for developing preservation technologies.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Biogenic amine profiling of fruit wines by high-performance liquid chromatography with fluorescence detection after OPA derivatisation: effect of fruit type
Tok, Fırat; Çetin, Burcu; Karaca Sanyürek, Nesrin
This study aimed to characterise the biogenic amine (BA) profiles of fruit wines produced from different raw materials and to investigate their association with pH and fruit type. Ten commercially available fruit wines, including pomegranate, black mulberry, sour cherry, strawberry, melon, blackberry, and blueberry, were analysed using HPLC with fluorescence detection (HPLC-FLD) following pre-column derivatisation with o-phthalaldehyde. Putrescine, tyramine (TYR), and histamine were identified as the predominant amines, with total BA concentrations ranging from 11.62 to 53.96 mg/L depending on the fruit type. The pH values of the wines (3.28-3.60) were inversely related to acidity and showed a strong positive correlation with total BA content (r = 0.97, p < .001). Among the detected compounds, TYR exhibited the highest sensitivity to pH variation. Multivariate analysis using principal component analysis clearly differentiated the samples into two distinct groups: low pH-low BA wines (pomegranate and blueberry) and high pH-high BA wines (blackberry and strawberry). The HPLC-FLD method demonstrated excellent analytical performance, with high chromatographic stability (retention time RSD < 1%) and reliable compound identification. Overall, the results indicate that BA formation in fruit wines is closely associated with both pH and fruit type, reflecting the combined effects of raw material composition and fermentation conditions. These findings provide valuable insights into the biochemical characterisation, quality assessment, and safety evaluation of fruit wines in oenological applications.
- MakaleYalnız künye2026Scopus SJRQ1Exogenous methyl jasmonate delays quality loss and maintains bioactive compounds in quince during long-term storage
Hanci, Mehmet Utku; Ozturk, Ahmet; Aglar, Erdal; Olcer, Mehmet Ali; Ozturk, Burhan
Quince (Cydonia oblonga Mill.) is a climacteric fruit species that, despite its high nutritional value and rich phenolic composition, is prone to quality changes during postharvest handling. However, under appropriate storage conditions it can be maintained at acceptable quality for several months. This study aimed to assess the effects of exogenous methyl jasmonate (MeJA) treatments on quality attributes, and phenolic metabolism of quince fruit during cold storage. Fruits were treated with 0 (control), 0.5, and 1.0 mM MeJA and stored at 0 ± 1 °C with 90 ± 5% relative humidity for 120 days. Analyses were conducted at 30-day intervals, including physiological, phytochemical, and antioxidant activity, as well as individual phenolic compounds. During cold storage, fruits treated with 1.0 mM methyl jasmonate (MeJA) exhibited lower weight loss and respiration rate. Higher fruit firmness was also observed in MeJA-treated fruits. At the end of storage, MeJA-treated fruits showed higher vitamin C content and titratable acidity, but lower soluble solids content than the control fruits. Similarly, at 60 and 90 days of storage, fruits treated with 1.0 mM MeJA were found to contain higher levels of total phenolics, total flavonoids, and antioxidant activity. Among the phenolic acids identified in quince fruit, chlorogenic acid and 4-aminobenzoic acid were present at higher concentrations compared to the other phenolic compounds. At the end of the storage, MeJA-treated fruits generally exhibited a slower decline in phenolic acids compared to the control, indicating a protective effect of the treatment on phenolic stability. As a result, methyl jasmonate applications were identified as an effective strategy for reducing post-harvest quality losses and preserving bioactive compounds in quince fruit. Specifically, the 1.0 mM MeJA application showed the strongest protective effect on quality parameters. These findings indicate that MeJA is a commercially viable method for extending shelf life and preserving quality in quince fruit.
- MakaleAçık Erişim2026Scopus SJRQ3An Artificial Neural Network Modeling of Solar Drying of Mint: Energy, Exergy, and Drying Kinetics
Gülçimen, Fevzi; Karakaya, Hakan; Durmuş, Aydın
Abstract: Solar drying is an environmentally friendly method for preserving agricultural products; however, limited studies have jointly examined energy–exergy performance and data-driven prediction methods under varying airflow conditions, which restricts performance optimization. This study aims to investigate the effects of inlet airflow rate on energy utilization ratio, energy generation, exergy loss, exergy efficiency, and drying kinetics of mint leaves, and to evaluate the predictive capability of artificial neural network modeling. Thin-layer drying experiments were conducted in a forced convective solar dryer equipped with a newly designed solar air collector at different air mass flow rates. Energy and exergy analyses were conducted using experimental thermodynamic data, and energy utilization and exergy loss were modeled with a feed-forward back-propagation artificial neural network. The energy utilization ratio ranged from 7.45 to 87.1% and increased with decreasing airflow rate. The average exergy losses for air mass flow rates of 0.012, 0.026, and 0.033 kg s–1 were 16.2, 8.2, and 6.88 W, respectively. Both experimental and artificial neural network results showed that increasing airflow rate reduced energy utilization ratio and exergy loss. The artificial neural network predictions exhibited very close agreement with experimental data. The results show that artificial neural networks can accurately predict energy utilization ratio and exergy loss in a forced convective solar dryer. Airflow rate is a key parameter for thermodynamic performance, and the integrated experimental–ANN approach offers a robust tool for optimizing and designing solar drying systems.
AtıfOpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Influence of apple pomace and asparaginase on acrylamide levels in cookies and behavior during simulated gastric digestion: risk assessment perspectives
Sevim, Sumeyra; Macit, Arife; Farıa, Miguel A.; Viegas, Olga; Cunha, Sara C.; Kizil, Mevlude; Ferreira, Isabel M.P.L.V.O.
Cookies are widely consumed baked products; however, their contribution to dietary acrylamide (ACR) intake raises increasing health concerns. This study investigated the effects of apple pomace addition and asparaginase treatment on ACR levels in cookies, the fate of ACR during simulated gastric digestion using the INFOGEST semi-dynamic model, and the associated health risks of ACR exposure from cookie consumption. Risk assessment was conducted for adults (18–65 years) and children (3–10 years) using Monte Carlo simulation. Three formulations were evaluated: a control cookie, a cookie in which wheat flour was partially replaced with apple pomace, and a cookie containing asparaginase. Cookies formulated with apple pomace contained significantly lower ACR levels than the control (132 ± 8 μg/kg vs. 215 ± 11 μg/kg; p < 0.05), although the reduction was less pronounced than in cookies containing asparaginase (65 ± 14 μg/kg). During gastric digestion, ACR exhibited formulation-dependent release kinetics. Nevertheless, the total ACR released at the end of digestion was similar for control and pomace cookies, likely due to additional ACR formation in the stomach, despite differences in release patterns throughout digestion. Margin of Exposure (MOE) values for children remained well below 10,000, indicating a potential carcinogenic risk, although reductions of up to 59% were observed for control and pomace cookies after digestion. Target Hazard Quotient (THQ) values showed a slight increase after digestion in both age groups but remained below 1, suggesting no concern for chronic toxicity. Control cookies indicated a potential carcinogenic risk for children (ILCR = 1.56 × 10−4), whereas pomace and asparaginase formulations reduced this risk (ILCR = 9.59 × 10−5 and 4.72 × 10−5, respectively). However, simulated gastric digestion increased ILCR values for both control and pomace cookies (2.24 × 10−4 and 2.33 × 10−4, respectively). These findings indicate that dietary exposure to ACR cannot be assessed solely based on its concentration in food, and that digestive kinetics should be incorporated into health risk assessment.
- MakaleAçık Erişim2026Scopus SJRQ2Data-Driven Prediction of Climate Variables in Agricultural Cities of India With Hybrid GA-TCN-LSTM Model
Utku, Anil
Accurate prediction of climate variables is important in reducing the effects of natural disasters and taking preventive measures for agriculture and food security, energy sector, public health, and water resources management. For agricultural production, it is essential for producers to determine strategies for their agricultural activities and to increase agricultural productivity. Issues such as determining planting and harvest times, determining pesticides to be used against agricultural pests, selecting products to be planted, irrigation, and sustainable agriculture are directly related to climate variables. In this study, a GA-TCN-LSTM hybrid prediction model was created to determine climate variables such as relative humidity, temperature, wind speed, and dew point in Bhopal, Indore, Kanpur, Ludhiana, and Patna, which are among the prominent cities of India in terms of agricultural production. The hyper-parameters of the developed model using the temporal convolutional networks (TCN) and long short-term memory (LSTM) were optimized with the genetic algorithm (GA), and the GA-TCN-LSTM hybrid model was created. GA-TCN-LSTM was extensively compared with the base TCN-LSTM, convolutional neural network (CNN), LSTM, TCN, and CNN-LSTM. The compared models were tested using approximately 15 years of hourly, up-to-date, and real-time data of the cities. Experiments showed that GA-TCN-LSTM outperformed the compared models and had above 0.9 R-Squared (R2) for the majority of cities and climate variables.
AtıfScopus2WoS1OpenAlex2İncele
