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
- MakaleYalnız künye2027Efficacy of blue light-assisted ClO2 for Salmonella decontamination on basil leaves: inactivation kinetics, quality preservation, and microbiota dynamics
Lian, Yi; Liu, Songlin; Ozturk, Samet; Wei, Xinyao
Frequent Salmonella outbreaks associated with basil leaves highlight the need for effective postharvest decontamination. Conventional microbial sanitizers often fail to inactivate pathogens while preserving product quality, creating a demand for novel decontamination technologies suitable for basil. In this study, the microbial safety of basil under typical consumption scenarios was evaluated and a blue light-assisted ClO2 (COM) decontamination process for basil leaves was developed. Mathematical models were used to describe the microbial inactivation kinetics, and a systematic comparison was conducted against traditional single-chemical sanitizers (H2O2, HClO, ClO2, and 75% ethanol) in terms of microbial safety and final product quality. Results showed that simulated cooking scenarios, including pizza baking and hot soup immersion, were insufficient to reduce the Salmonella levels below the detection limit (<10 CFU/g) under a high initial load of 9.7 log CFU/g. Compared to the single-chemical treatments, 100 mg/L COM treatment achieved significantly higher decontamination (p < 0.05) by reducing Salmonella and background microbiota by 4.8 and 3.5 log CFU/g, respectively, with treatment time of 15 min. The inactivation kinetics of Salmonella showed a non-linear inactivation kinetics, which was captured by the Weibull model with a low RMSE value (RMSE = 0.16), although the AICc value (11.37) indicated limited model parsimony. Furthermore, the COM treatment significantly reduced bacterial richness (with the Chao1 index decreasing from 316 to 71) and effectively inactivated key spoilage organisms (Pseudomonas) as well as members of the Enterobacteriaceae, Actinomycetota, and Bacillota groups. Compared with the 100 mg/L ClO2 treatment alone (1.40 mg/kg), the 100 mg/L COM treatment resulted in a ClO2 residue concentration below the detection limit, without significantly altering visual appearance, color, chlorophyll content, total phenolics, or polyphenol oxidase activity (p > 0.05). Overall, blue light-assisted ClO2 treatment effectively reduced microbial contamination and reduced ClO2 residues while preserving the physical quality of basil, representing a promising decontamination approach for the fresh produce industry.
- MakaleAçık Erişim2026Development of Chitosan-Stabilized Pickering Emulsions Loaded with Supercritical Fluid Extraction of Honey Bee Pollen for Functional Food Applications
Ayna, Adnan; Mesci, Esra; Arserim-Uçar, Dılhun Keriman
Honey bee pollen (HBP) is a nutritionally rich natural product containing phenolics and antioxidants; however, its rigid outer wall limits the bioavailability of these bioactive compounds. Therefore advanced extraction and delivery systems are required to enhance stability and functional performance for food applications. This study aimed to encapsulate a supercritical fluid extract (SFE) of honey bee pollen within chitosan-stabilized Pickering emulsions in order to improve encapsulation efficiency and antioxidant activity. Honey bee pollen obtained from Bingöl, Türkiye, was extracted with supercritical CO₂. Pickering emulsions were prepared via ultrasound-assisted emulsification in the presence of chitosan as a stabilizer, with SFE-HBP at 5%, 10%, and 15% (w/v). The prepared emulsions were characterized for their microstructure, particle size, zeta potential, and encapsulation efficiency. Total phenolic content (TPC) and antioxidant activities were assessed using the Folin–Ciocalteu and CUPRAC assays, respectively. All formulations yielded stable, uniformly distributed Pickering emulsions with spherical droplets and no visible phase separation. Indeed, encapsulation efficiency increased with increasing SFE-HBP concentration, from 73.96% to 87.06%. The particle size ranges (7.22–12.44 µm) and zeta potential values (+21.73 to +28.24 mV) indicate good colloidal stability. For both TPC and CUPRAC antioxidant activities, a concentration-dependent increase was observed, with the highest values in the 15% SFE-HBP-containing emulsions. Collectively, these findings indicate that a chitosan-based Pickering emulsion is an effective delivery system for SFE-derived bioactive compounds from honey bee pollen. The method provides enhanced encapsulation efficiency, antioxidant capacity, and physicochemical stability, hence exhibiting great potential for functional food and nutraceutical applications.
- MakaleAçık Erişim2026Impact of Phytobiotic Supplementation Administered in Drinking Water on Meat Quality in Heat-Stressed Broilers
Kaya, Hacer; Kamiloğlu, Aybike
This study evaluated the effects of a phytobiotic additive, hawthorn fruit extract (HFE), administered via drinking water on meat quality of broilers subjected to heat stress (HS). A total of 300 one-day-old broiler chicks were distributed into six experimental groups according to a 2×3 factorial design after a one-week acclimation period, with five replicates of 10 chicks each. Chicks had ad libitum access to feed and water for the duration of the 42-day trial and were exposed to a 24-hour lighting program. HS decreased the b* color value of breast meat while increasing L* and a* values and pH of thigh meat. Cooking loss (CL) of both breast and thigh meat was reduced, whereas water-holding capacity (WHC) remained unaffected. HS did not significantly alter thiobarbituric acid-reactive substances (TBARS), total saturated fatty acids (ΣSFA), or total unsaturated fatty acids (ΣUFA), but decreased monounsaturated fatty acids (ΣMUFA) and increased emulsion stability (ES) and polyunsaturated fatty acids (ΣPUFA). Adding HFE to the drinking water did not influence breast meat pH or color intensity, but WHC improved in breast meat with 0.2 mL/L HFE and in thigh meat at both HFE concentrations. The 0.4 mL/L HFE dose increased ΣSFA and decreased ΣUFA and ΣPUFA levels, while ΣMUFA decreased at both HFE concentrations. Overall, HFE supplementation mitigated several adverse effects of HS, notably enhancing ES and reducing redness of thigh meat. These findings suggest that HFE can be an effective phytobiotic strategy to improve meat quality in broilers under thermal stress conditions.
- MakaleAçık Erişim2026Effects of drying methods on physicochemical properties and bioactive compounds of wild fruits native to the Gümüşhane flora of NE Türkiye
Bulut, Volkan Numan; Baltaci, Cemalettin; Gundogdu, Ali; Barlak, Esra
Wild fruits are valuable natural sources of bioactive compounds with significant nutritional and functional properties. This study comparatively evaluated the effects of freeze-drying (FD), oven drying (OD), and open-air drying (AD) on the physicochemical properties, total phenolic content (TPC), vitamin C content, and antioxidant properties of five wild fruit species naturally growing in the Gümüşhane region of Türkiye: wild pear (Pyrus elaegrifolia Pall.), hawthorn (Crataegus orientalis), rosehip (Rosa canina L.), cornelian cherry (Cornus mas L.), and barberry (Berberis vulgaris). Drying method markedly affected both physicochemical characteristics and bioactive compounds. Oven drying produced the lowest water activity values (0.10–0.34), indicating enhanced microbiological stability, whereas freeze-dried samples generally showed superior preservation of phenolic compounds and antioxidant activity. The highest TPC was observed in air-dried cornelian cherry (935.59 mg GAE/kg), while freeze- dried rosehip exhibited the highest TPC among freeze-dried samples (907.63 mg GAE/kg). Vitamin C was highly sensitive to thermal processing, and most oven-dried samples showed values below the detection limit (<0.30 mg/kg). In contrast, freeze-dried rosehip retained the highest vitamin C content (1594 mg/kg). Freeze-dried cornelian cherry exhibited the highest DPPH radical scavenging activity (93.45%), whereas oven-dried rosehip showed the highest total antioxidant content (33.38 mg/g). The relatively high antioxidant values observed in some oven-dried samples may also be partially associated with the formation of Maillard reaction products exhibiting antioxidant properties under thermal processing conditions. Correlation and hierarchical cluster analyses revealed statistically significant (p < 0.05) fruit-specific differences in antioxidant behavior and clustering patterns, indicating that the responses to drying treatments were more strongly influenced by fruit matrix composition than by drying method alone. The findings demonstrate that the effects of drying treatments are strongly fruit matrix-dependent and that no single drying method is universally optimal for preserving all quality attributes of wild fruits.
- MakaleYalnız künye2026Sosyal medyadan yansıyan Tarsus mutfak kültürü: Youtube içeriklerinin analizi
Evren, Savaş; Evren, Emine Şimşek
Bu çalışmada, son yıllarda gastronomisiyle öne çıkan ve hakkında yoğun dijital içerik üretilen destinasyonlardan biri olan Tarsus’un mutfak kültürünün sosyal medyada nasıl temsil edildiğinin ortaya konulması ve ilgili içerikler üzerinden kentin mutfak kültürünün temel özelliklerinin belirlenmesi amaçlanmıştır. Araştırmada veri kaynağı olarak YouTube platformu tercih edilmiş ve örneklem kapsamına 21 video dahil edilmiştir. Video seçiminde son 10 yıl içerisinde yayımlanmış olması ve kentin mutfak kültürüne ilişkin kapsamlı içerikler sunması temel ölçütler olarak dikkate alınmıştır. Veriler manuel içerik analizi yöntemiyle incelenmiş ve analiz kapsamında altı tema belirlenmiştir: “gelenekselin farklılaştırılması”, “uzmanlaşma ve ustalık”, “kültürel etkileşim”, “doğal ürün kullanımı”, “uygun fiyat” ve “gastronomik aglomerasyon ve turizm”. Bulgular, Tarsus mutfağında humus, kebap ve lahmacun gibi yaygın geleneksel yemeklerin içerik veya sunum biçimlerinde yapılan değişikliklerle yeniden yorumlandığını ve bu süreçte kuşaktan kuşağa aktarılan ustalık kültürünün etkili olduğunu göstermektedir. Ayrıca Tarsus’un çok kültürlü yapısının mutfak kültürüne de yansıdığı; özellikle Arap ve Orta Doğu mutfağına ait yemeklerin yerel yorumlarla “Tarsus usulü” biçimine dönüştürüldüğü belirlenmiştir. İçeriklerde doğal ürün kullanımının vurgulandığı ve fiyatların birçok destinasyona kıyasla daha uygun olduğunun ifade edildiği görülmüştür. Bunun yanı sıra, yiyecek-içecek işletmelerinin birbirine yakın konumlanmasının gastronomik bir aglomerasyon oluşturduğu ve bunun gastronomi turizmi açısından önemli bir avantaj sağladığı tespit edilmiştir.
- MakaleYalnız künye2026Investigation of Yield and Yield Components and Quality Characteristics of Some Dent Corn (Zea mays L. indentata) Genotypes Cultivated as Grain Crop under Semi-Arid Climate Conditions
Sirat, Abdulveli
Maize is an important short day cereal with a wide range of uses as a raw material in human and animal nutrition industry. This study was conducted during 2016 and 2017 to identify grain yield and some quality characteristics of dent corn genotypes under semi-arid temperate climate conditions. Twelve (12) dent corn genotypes were utilized as plant material in the study. The research was carried out according to the randomized complete blocks experimental design with three replications. Significant differences were recorded between the genotypes in terms of all traits (except cob length). The plant height ranged 197.90-211.25 cm, with first cob height of 81.24-107.30 cm, cob length of 17.02-19.10 cm, cob diameter of 39.82-50.82 mm, number of kernels per cob of 423.77-590.82, and grain yield of 4650.0-10693.9 kg ha(-1). It was noted that the 1000-grain weight varied between 254.96-348.93 g, hectoliter weight with range of 79.06-89.83 kg hl(-1), starch content in grain between 62.59-69.50%, protein content in grain between 9.22-11.74%, oil content in grain between 2.67-3.98%. The maximum values of plant height and cob length were obtained from the 70May82 variety, and the maximum values of first cob height, cob diameter, grain yield, 1000-kernel weight, hectoliter weight, starch, protein, and oil content in grain were recorded from Kalipso and Samada-07 varieties. Considering these results, it is advisable to grow Kalipso, Samada-07, and 70 May82 varieties as main crops in temperate semi-arid climate of G & uuml;m & uuml;& scedil;hane and surrounding areas of Turkiye.
- MakaleAçık Erişim2026Determinants of healthy orthorexia and orthorexia nervosa: the roles of food security, dietary behaviors, and obesogenic environment
Koçak, Tevfik; Arpa Zemzemoglu, Tuba Eda; Türkkan, Tugba; Bülbül, Kenan; Yilmaz, Birsen
Orthorexia has recently gained attention as a two-dimensional construct centered on a shared health orientation. Recent conceptual developments distinguish healthy orthorexia (HeOr), defined as a non-pathological interest in healthy eating, from orthorexia nervosa (OrNe), characterized by rigid and compulsive food control accompanied by psychological and social impairment. This cross-sectional study investigated the associations of HeOr and OrNe with sociodemographic variables, dietary behaviors, and obesogenic environmental factors, and aimed to identify shared and distinct determinants of these tendencies with 1,015 adults aged 18-65 years. Orthorexia tendencies were assessed using the Teruel Orthorexia Scale. Additional measures included the Sustainable and Healthy Eating Behaviors Scale, Short Screening Questionnaire of Highly Processed Food Consumption, Adult Food Security Survey Module, Food Label Reading Attitude Scale, Food Choice Questionnaire, and the Obesogenic Environment Assessment Scale. In the adjusted regression models, HeOr was positively associated with sustainable and healthy eating behaviors (beta = 0.26), AFSS food-insecurity severity score (beta = 0.11), food label reading attitudes (beta = 0.07), health-related food choice motives (beta = 0.09), natural-ingredient preference (beta = 0.14), weight-control motives (beta = 0.15), ethical food choice motives (beta = 0.10), and obesogenic social determinants and effects (beta = 0.09). Conversely, affordability-related motives (beta = -0.08), emotional appeal (beta = -0.15), familiarity (beta = -0.10), and obesogenic cultural determinants/access to experts (beta = -0.12) were negatively associated with HeOr. For OrNe, positive associations were observed with sustainable and healthy eating behaviors (beta = 0.13), AFSS food-insecurity severity score (beta = 0.17), mood-related food choice motives (beta = 0.13), weight-control motives (beta = 0.26), familiarity (beta = 0.09), ethical food choice motives (beta = 0.18), and obesogenic social determinants and effects (beta = 0.30), whereas health-related food choice motives (beta = -0.12), affordability-related motives (beta = -0.08), and emotional appeal (beta = -0.24) showed negative associations. These findings suggest that orthorectic tendencies are associated with individual health motivations as well as broader behavioral and environmental contexts; however, because of the cross-sectional design, these associations should be interpreted as correlational and hypothesis-generating rather than causal.
- MakaleYalnız künye2026An insight of oil protection theory: Survival, structural and metabolic adaptation of Salmonella enterica Enteritidis Phage Type 30 in three triglycerides
Zhao, Huan; Sun, Rui; Cao, Shidi; Ozturk, Samet; Erdogdu, Ferruh; Liu, Xingyi; Liu, Shuxiang
Oil protection theory posits that oil enhances microbial survival and heat resistance in low-moisture foods, yet the role of triglyceride composition remains poorly defined. This study investigates how Salmonella enterica Enteritidis PT 30 adapts during desiccation in peanut oil (mixed triglycerides, aw,25 degrees C = 0.30) and two representative components, namely, trilinolein and glyceryl trioleate. The lipid-specific structural and metabolic adaptations were analyzed through confocal microscopy and transcriptomics. S. Enteritidis exhibited the lowest persistence (3.43-log reduction over 180 days) and weakest heat resistance (2.5 h at 80 degrees C to achieve 3.5-log reduction) in peanut oil. The survival of S. Enteritidis in triglycerides could be correlated with its metabolic dormancy via suppression of ribosomal and oxidative phosphorylation pathways. Trilinolein enhanced S. Enteritidis' heat resistance (30 h at 80 degrees C for 3.5-log reduction) and moderate storage mortality (1.64-log reduction at 180 d), driven by stress hyperactivity. Glyceryl trioleate balanced heat tolerance (8 h) with optimal storage survival (1.19-log reduction), mediated by partial metabolic suppression. Peanut oil preserved S. Enteritidis transient motility in water-rich microenvironments, while pure triglycerides formed compact, dehydrated aggregates. Transcriptomics identified divergent strategies. Peanut oil induced dormancy at the expense of stress resilience, whereas homogeneous lipids imposed distinct constraints; that is, trilinolein amplified oxidative stress, and glyceryl trioleate intensified desiccation. These findings refine oil protection theory, demonstrating that lipid heterogeneity-not just low water activity-shapes microbial outcomes. The mixed components of peanut oil buffer stress but limit protective efficacy, while its purified constituents reveal how specific triglycerides modulate survival. This mechanistic understanding advances theoretical models of pathogen persistence in oily matrices and guides targeted strategies to mitigate risks in low-moisture oil-rich food systems.
- MakaleYalnız künye2026Potential of bee products for enrichment of herbal tea: using response surface methodology
Ilyasoğlu, Huri; Arpa Zemzemoğlu, Tuba Eda; Arslan Burnaz, Nesibe
Purpose: There has been an increasing demand for food and beverage products enriched with bee products due to their valuable nutrients and bioactive compounds. This study was designed to assess the feasibility of enriching herbal tea infusions with bee products (honey and bee pollen), and to optimize formulation parameters using response surface methodology (RSM). Methods: The effects of the honey level of bee products (HLBP; 10–90 g/100 g) and the level of non-tea substances (LNTS; 1–5 g/100 mL) on the general acceptability, total glucose and fructose (TGF), total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity of the herbal tea infusions were investigated using RSM. Results: HLBP showed a positive impact on the general acceptability and TGF, but a negative impact on the TPC, while the LNTS had a positive impact on the TGF and TPC. At the optimized enrichment conditions, the response to honey–bee pollen differed markedly between the two matrices: linden tea demonstrated significantly higher functional enhancement (TPC, TFC, and antioxidant activity) compared to the control, whereas sage tea exhibited relatively stable functional values. Sensory responses also differed, with linden formulations showing a significant decrease in general acceptability at lower HLBP levels, while sage formulations maintained relatively stable sensory scores. Conclusion: Overall, the findings indicate that the effects of honey–bee pollen enrichment on herbal tea beverages depend on the tea matrix and require optimization, as increasing functional properties may compromise sensory acceptability, particularly in linden tea, whereas sage tea showed comparatively similar responses to the control.
- MakaleYayıncıda açık erişim2026Innovation adoption of artificial meat among academic consumers in Turkey
Dişli Bayraktar, Eda; Öztürk, Zeynep; Öztürk Küçük, Hilal
Artificial meat has emerged as a promising sustainable food technology with the potential to mitigate environmental impacts associated with conventional livestock production. However, its societal diffusion largely depends on consumer acceptance and the adoption of this innovation. This study examines academics’ attitudes and consumption intentions toward artificial meat in Turkey by focusing on two innovation adoption tendencies novelty seeking and independent decision making and testing the mediating role of attitude within the Theory of Planned Behavior framework. Data were collected via an online questionnaire distributed through social media and email, yielding 277 valid responses from academics across different regions and faculties. Analyses were conducted using SPSS and Hayes’ PROCESS macro (Model 4) with 5,000 bootstrap samples (95% confidence intervals). Results indicate that attitude toward artificial meat is the strongest predictor of consumption intention. Novelty seeking positively predicts attitude, which in turn increases intention; when attitude is included, the direct effect of novelty seeking on intention becomes non-significant, indicating full mediation. In contrast, independent decision-making negatively predicts attitude and indirectly reduces consumption intention through attitude, also reflecting a full mediation structure. Descriptive findings further show high awareness but low willingness to try artificial meat among academics. Overall, the study highlights the central role of attitude in the adoption of innovative food technologies and suggests that communication strategies should prioritize attitude formation, particularly by addressing skepticism among autonomous decision-makers while engaging novelty-seeking individuals as potential early adopters.
- MakaleAçık Erişim2026An Approach to the Evaluation of Spent Coffee Grounds: Use in Functional Apricot Bar Formulation
Berktaş, Serap; İncegül, Yasemin; Çam, Mustafa
Fruit bars are snack products obtained by mushing fruit, adding sugar, pectin, and other ingredients, and drying the resulting mixture. The aim of this study was to investigate the effects of spent coffee grounds (SCGs), a valuable waste product of the coffee industry, on the physicochemical and bioactive properties of a snack fruit bar enriched with bioactive properties after mushing apricot fruit. Results showed that apricot bars containing 2.5%, 5%, and 7.5% SCGs had higher phenolic, flavonoid, antioxidant activity (ABTS and DPPH), ascorbic acid, and total carotenoid contents compared to the control group. Especially, the fruit bar containing 7.5% SCG stood out in terms of tested bioactive properties. Therefore, it has been determined that the antioxidant and phenolic compounds found in SCGs are also reflected in fruit bars. Furthermore, α-amylase and lipase inhibition values were increased in the enriched fruit bars, and the potential of the developed fruit bars to exhibit antidiabetic and antiobesity properties was improved. Furthermore, the intestinal phase phenolic compound bioaccessibility values of the enriched fruit bars (87.40%–133.3%) were higher than the SCG-free control fruit bar (91.7%). The potential for creating an alternative product with improved nutritional and economic benefits by adding a waste product rich in bioactive compounds such as SCGs to the fruit bar formulation was evaluated. Such products could be considered a new alternative to a functional snack product group rich in bioactive substances that could be incorporated into today's diet.
- MakaleYalnız künye2026Classification and detection of Salmonella, Escherichia coli O157:H7, and Listeria monocytogenes using Fourier-transform near infrared spectroscopy coupled with machine learning
Ozturk, Samet; Huang, Lihan; Hwang, Cheng-An; Sheen, Shiowshuh
This study was conducted to investigate the potential use of Fourier-transform near-infrared (FT-NIR) spectroscopy combined with machine learning (ML) algorithms to accurately identify three foodborne pathogens, including Salmonella spp., Listeria monocytogenes, and Escherichia coli O157:H7. Each bacterial strain (two per pathogen) was individually cultured and purified through sequential washing using ethanol–deionized (DI) water solutions. Each purified culture was transferred into each well of a 96-well cell plate covered with custom-cut filter paper and then vacuum dried at 50 °C under 20 kPa for 1 h. The absorbance spectra of dehydrated bacterial cells were then acquired across the range of 1000–2400 nm using a diffuse reflectance probe connected to a FT-NIR process analyzer. To identify the optimal classification pipeline, the acquired spectra were analyzed using ten different pre-processing methods, three feature selection methods, and supervised algorithms including partial least squares discriminant analysis (PLS-DA), support vector machine (SVM), random forest (RF), artificial neural network (ANN), and convolutional neural network (CNN). Furthermore, the accuracy of the developed ML pipelines was further enhanced through under-sampling and boosting steps. The results demonstrated that SVM, RF, ANN and CNN outperformed PLS-DA, where the classification accuracies were above 90%. The findings demonstrate that using Savitzky-Golay first derivative (SG1) filtering to pre-process the full spectra followed by SVM classification yielded the highest accuracy, achieving 95.3% overall accuracy in ML pipeline. This study highlights the powerful capability of FT-NIR spectroscopy coupled with ML algorithms to detect and identify foodborne pathogens on dehydrated surfaces in process environments.
- MakaleAçık Erişim2026Impact of sprouting pretreatment on physicochemical properties and in vitro digestibility of buckwheat milk
Tunç, Merve Tuğçe; Yılmaz, Fırat; Akdoğan, Arda; Atalar, İlyas; Odabaş, Halil İbrahim
BACKGROUND: Buckwheat is a strategic raw material for plant-based milk production due to its gluten-free nature and rich bioactive profile. However, antinutritional factors and starch structure limit the nutritional quality and technological properties of such beverages. This study aims to investigate the effects of sprouting pretreatment (0, 24, 48, and 72 h) on the physicochemical properties, rheological behavior, phytic acid content, and in vitro protein/phenolics digestibility of buckwheat milk. RESULTS: As the sprouting duration increased, the viscosity of buckwheat milk decreased from 31.42 to 15.42 mPa s (at 72 h) due to the enzymatic hydrolysis of starch and proteins. Rheological analysis revealed that all samples exhibited weak gel behavior. Color analysis showed a decrease in lightness (L*) while redness (a*) and yellowness (b*) values significantly increased with sprouting. The results showed that sprouting significantly reduced phytic acid content, reaching its minimum at 72 h. The highest in vitro protein digestibility was observed at 24 h of sprouting, after which a relative decline occurred due to the formation of protein–polyphenol complexes and metabolic amino acid utilization. Furthermore, total phenolic content, flavonoid content, and antioxidant capacities measured after in vitro digestion were substantially higher in sprouted samples, especially at 48 and 72 h, than in the control. CONCLUSION: The results indicate that a sprouting duration of 48 h represents an optimal balance for the physical stability and nutritional enhancement of buckwheat milk. At this stage, significant increases in bioaccessible phenolics were achieved while maintaining a stable colloidal structure.
- MakaleAçık Erişim2026Investigation of the Antioxidant, Antibacterial, and Food Safety Potential of Silver and Copper Nanoparticles Green Synthesized Using Pointed Cherry Laurel (Prunus laurocerasus L.) Extract
Kobya, Havva Nur; Gül, Abdulkadir; Karpuz, Ömer; Baltacı, Cemalettin
This study reports the green synthesis of silver (PFAgNPs) and copper (PFCuNPs) nanoparticles using an aqueous extract of pointed cherry laurel (Prunus laurocerasus L.) fruit (PF-E) and explores their applicability in food safety. The NPs were characterized via UV–Vis spectroscopy, FT-IR, XRD, SEM, EDX, and TEM confirming their successful formation and morphology. Total phenolic content (TPC), flavonoid content (TFC), and antioxidant capacity (TAC) were measured for both PF-E and the synthesized NPs. While PFCuNPs exhibited higher TPC, PFAgNPs showed superior TFC and TAC. Notably, antioxidant assays (DPPH, ABTS, FRAP) indicated stronger radical scavenging activity for PFCuNPs. Antibacterial tests against Escherichia coli, Enterococcus faecalis, Staphylococcus aureus, and Pseudomonas aeruginosa revealed broad-spectrum activity of PFAgNPs, with the highest inhibition against E. coli (19.4 ± 0.3 mm), whereas PFCuNPs showed dose-dependent efficacy, strongest against E. faecalis (9.6 ± 0.2 mm). LC–MS/MS analysis of the PF-E extract revealed quinic acid (63.42 mg/g), chlorogenic acid (2.38 mg/g), protocatechuic acid (0.07 mg/g), protocatechuic aldehyde (0.04 mg/g), hesperidin (0.03 mg/g), and naringenin (0.02 mg/g) as major components. The adsorption efficiencies of the synthesized PFAgNPs and PFCuNPs were evaluated against the toxic food contaminants patulin and HMF using both standard aqueous solutions and real food systems (apple juice). In standard aqueous solutions, PFAgNPs achieved removal efficiencies of 70.96% for patulin and 52.22% for HMF, while PFCuNPs showed 61.08% and 36.38%, respectively, at 5 g/L after 240 min. In real food systems, the adsorption efficiencies decreased, with PFAgNPs and PFCuNPs removing 34.24% and 32.90% of patulin, and 39.09% and 31.87% of HMF, respectively. The adsorption kinetics of HMF and patulin onto PFCuNP and PFAgNP were found to conform to both the pseudo-first-order and pseudo-second-order kinetic models for aqueous solutions as well as real samples. These findings confirm that the biosynthesized NPs offer dual functionality as antibacterial agents and toxin adsorbents, presenting a green, sustainable approach to food safety enhancement.
- MakaleYalnız künye2026Identification of patulin-producing Penicillium isolates from decayed apples, their patulin production profiles, and the feasibility of high-purity patulin preparation
Dağ, Murat; Bozbeyoğlu, Pınar; Gül, Abdulkadir; Karpuz, Ömer; Baltacı, Cemalettin
This study presents a combined evaluation of patulin contamination by integrating fungal identification, assessment of toxin production, and the feasibility of obtaining high-purity patulin from biological sources. Fungal isolates recovered from naturally decayed apples collected from different agricultural environments in Türkiye were identified using MALDI-TOF MS and morphological characteristics, and were assigned to Penicillium expansum at a probable species level. The patulin production potential of the isolates was evaluated by inoculating them onto red, yellow, and green apple matrices under controlled laboratory conditions over an extended incubation period. Quantitative analysis using HPLC–UV, supported by LC–MS/MS confirmation, revealed substantial variability in patulin levels (7.58–49.80 mg/kg) depending on both isolate and apple matrix. Higher patulin levels were generally observed in yellow apple tissues, whereas lower levels were detected in red apples, suggesting a possible influence of matrix-related compositional factors. In addition, patulin was isolated and enriched using column chromatography with TLC-guided fractionation, yielding a high-purity compound (98.8%) with low moisture content (0.21%). Structural identity was confirmed by LC–MS/MS analysis. Overall, the findings indicate that patulin production is influenced by strain-level variability and matrix-related factors. Furthermore, the study demonstrates the feasibility of producing high-purity patulin suitable for in-house analytical applications. However, the produced material should not be considered a certified reference material, and further validation would be required for broader analytical use.
- MakaleAçık Erişim2026Vibrational Spectroscopy Coupled with Chemometrics for Olive Oil Authentication: Recent Advances and Future Perspectives
İlyasoğlu, Huri
Food authentication has become a critical issue for consumers, producers, and regulatory authorities, particularly for high-value products such as olive oil, which is highly susceptible to adulteration. In recent years, vibrational spectroscopy techniques, including mid-infrared (MIR), near-infrared (NIR), and Raman spectroscopy, have attracted significant attention as rapid and non-destructive analytical tools for assessing the authenticity of olive oil. When combined with multivariate chemometric approaches, these techniques enable the extraction of meaningful spectral fingerprints and the development of predictive models for adulteration detection. This review provides a comprehensive evaluation of studies conducted over the past decade, with a focus on the application of vibrational spectroscopy coupled with chemometrics for the authentication of olive oil. The reviewed studies demonstrate that combining vibrational spectroscopy with chemometric methods offers advantages, including minimal sample preparation, rapid analysis, environmental sustainability, and potential suitability for routine quality control and official food inspection. The current limitations and future research directions are also highlighted to facilitate the extensive implementation of these techniques in olive oil authentication frameworks.
- MakaleYalnız künye2026Quality deterioration kinetics of roasted peanut matrices under fixed-time and estimated-lethality at various water activities
Islam, Shahriar; Li, Zhiwei; Wang, Xin; Tasci, Caner; Ozturk, Samet; Erdoǧdu, Ferruh; Zhang, Qing; Liu, Shuxiang
Water activity and particle size are critical determinants of quality stability and safety in low-moisture, lipid-rich foods. However, their combined effects during thermal processing of roasted peanut matrices remain insufficiently quantified. This study evaluated quality deterioration in roasted peanut matrices with different structural forms: crushed, flour, powder, and butter. Samples were equilibrated to water activity values of 0.11–0.92 at 25 °C and heated at 80 °C for 120 min. Colour, acid value, sensory score, and changes in relative fatty acid composition were measured. Kinetic experiments were also conducted at aw,25°C 0.32 using D-value-based thermal schedules at 85, 90, and 95 °C to relate microbial lethality to quality loss. Water activity strongly affected quality stability, with the predicted quality-favourable values varying slightly among responses. Therefore, aw,25°C (0.32) was selected as a practical condition for subsequent kinetic evaluation. Matrix performance differed between the fixed-time and D-value-based treatments. These findings describe quality deterioration under fixed-time and D-value-based thermal schedules.
- Derleme MakaleAçık Erişim2026Intersection of Precision Nutrition and Bladder Cancer: A Narrative State-of-the-Art Review of Potential Applications and Challenges
Koçak, Tevfik; Özbek, Yağmur Demirel; Bodur, Mahmut; Yeşil, Süleyman; Ağagündüz, Duygu
Bladder cancer (BC) is a biologically heterogeneous tumor affected by genetic, metabolic, environmental, and lifestyle factors. Recent research indicates that nutrition can change the way urothelial cancer forms by affecting inflammation, oxidative stress, cellular energy, and the epigenome. It can also change the risk of BC and how well treatment works. Simultaneous progress in precision nutrition (PN) and nutriomic profiling—encompassing nutrigenomics, nutrigenetics, nutriepigenetics, metabolomics, and microbiome science—presents novel options to tailor dietary regimens beyond universal guidelines. In this review, we consolidate existing knowledge regarding the nutritional factors influencing BC, outline pertinent principles of PN for BC prevention and survival, and explore how urine proteomics and molecular subtyping facilitate the integration of PN into precision oncology. Our review examines the methodological, bioinformatic, biomarker, and clinical translation challenges that impede the implementation of PN in BC management; these challenges include the need for validated nutritional biomarkers with mechanistic endpoints, interoperable data platforms, and rigorously designed clinical trials. Finally, we emphasize future prospects for PN-guided medical nutrition therapy and dietary models during and after systemic treatment recovery. We propose research priorities that will facilitate the integration of PN-informed individualized dietary plans with medical and surgical approaches in BC treatment, aiming to decrease the costs associated with expensive or excessively aggressive treatment methods, thereby supporting long-term survival care. This review seeks to establish a conceptual framework for the integration of PN into BC management by delineating the opportunities and challenges, hence promoting hypothesis-driven research in a promising yet underexplored domain.
- MakaleAçık Erişim2026Climate Change Impacts on Worldwide Cotton Productivity and Agricultural Income: Physiological, Econometric, and Precision Agriculture Perspectives
Zuhal, Mustafa; Erkencioglu, Bedriye Nazli; Tokel, Dilek; Senol, Celal; Demir, Hacer Handan; Ozyigit, Ibrahim Ilker
Climate change is expected to affect all sectors of the global economy, with agriculture being particularly vulnerable due to its dependence on temperature and precipitation. Cotton is especially sensitive to these changes as its productivity relies on suitable thermal conditions, water availability, and stable reproductive development. This study investigates the effects of climate change on cotton productivity and agricultural income in seven major cotton-producing countries, including Australia, Brazil, China, India, Pakistan, Türkiye, and the United States, over the period 1971-2023. Long-run relationships were examined using the Westerlund cointegration test, country-specific effects were estimated with the Augmented Mean Group (AMG) estimator and verified using Common Correlated Effects (CCE) approach, while short-run dynamics were assessed through the Dumitrescu-Hurlin panel causality test. Results reveal significant long-run relationships between climate variables, cotton productivity, and agricultural income, although the magnitude and direction of these effects vary across countries. In contrast, short-run effects appear limited and heterogeneous. To strengthen the interpretation of the econometric findings, the results are compared with experimental evidence on cotton heat stress and physiological responses. Together, the evidence indicates that climate change influences cotton productivity mainly through temperature-sensitive processes such as photosynthesis, reproductive development, and fiber formation, underscoring the need for country-specific adaptation strategies and climate-resilient agricultural policies.
- MakaleYalnız künye2026A dynamic predictive model for Bacillus cereus growth from spores under temperature abuse conditions
Juneja, Vijay K.; Osoria, Marangeli; Gao, Juan; Kapoor, Harsimran Kaur; Ozturk, Samet; Purohit, Anuj; Mishra, Abhinav
Bacillus cereus, a common foodborne pathogen, can cause emetic and diarrheal food poisoning. The associated outbreaks are commonly caused by temperature abuse during food cooling, storage, and transportation. This study developed a model to predict B. cereus growth from spores based on isothermal growth data collected at 10–54.4 °C in tryptic soy broth. A four-strain spore cocktail was heated at 80 °C for 10 min and inoculated at an initial level of ∼2 log CFU/mL. Growth curves at temperatures showing growth (15–50 °C) were fitted using the Baranyi model. The average h0 value was 3.04. The temperature dependence of the maximum specific growth rate was characterized using the modified Ratkowsky model. The estimated theoretical minimum and maximum growth temperatures were 8.94 °C and 54.11 °C, respectively. The lag phase duration was related to temperature using a hyperbolic function. All models showed good agreement with the observed data, with satisfactory fit statistics (R2 = 0.953–0.998 and RMSE = 0.073–0.904). The Baranyi differential equations were solved numerically using a fourth-order Runge–Kutta method to build the dynamic model. Model validation was conducted under two sinusoidal non-isothermal temperature profiles (10–30 °C for 30 h and 25–45 °C for 23 h). The accuracy factor (Af) and bias factor (Bf) values were 1.2117 and 1.2117 for the 10–30 °C profile, and 1.1359 and 1.1288 for the 25–45 °C profile, respectively. These results demonstrated that the dynamic model could precisely predict B. cereus growth and be used as a baseline reference for food system research and risk assessment.
