{"title":"A composite of alginate impregnated with layer double hydroxide for extraction of sulfonamide antibiotics in honey samples","authors":"Jedsada Jaroensan , Rawikan Kachangoon , Pirom Suwannasom , Kansiri Pakkethati , Khongvit Prasitnok , Norio Teshima , Jitlada Vichapong","doi":"10.1016/j.jfca.2025.107832","DOIUrl":"10.1016/j.jfca.2025.107832","url":null,"abstract":"<div><div>A composite of alginate impregnated with layer double hydroxide was developed and applied to extract and preconcentrate trace sulfonamides in honey for analysis by ultra-performance liquid chromatography. Composites hydrogel beads were ionotropically crosslinked in CaCl<sub>2</sub> solution under facile condition (ambient temperature). The investigated adsorption material was then characterized by Fourier transform infrared spectroscopy, scanning electron microscope, Brunauer-Emmett-Teller Method and Thermogravimetric analysis. Various parameters for bead preparation and extraction parameters affecting the extraction efficiency were optimized. Under optimized conditions, good linearity was achieved in the range of 10–800.0 µg L<sup>−1</sup>, with R<sup>2</sup> more than 0.99. Limit of detections were in the range of 3 –6 µg L<sup>−1</sup>. respectively. Good enrichment factors were found within the range of 19 – 43 folds. Acceptable relative recoveries (68–112 %) with the relative standard deviations in the range of 0.1–10.7 %, were obtained. The developed method provided good extraction efficiency, LODs and LOQs lower than the maximum residue limit of sulfonamide antibiotics restricted by European Union, good repeatability with small amount of sorbent and organic solvent consumption were obtained. The extraction performance of the developed sorbent was compared with an octadecyl sorbent and with other sorbent materials. The proposed method is simple, rapid, has high efficiency, high recovery, and high sensitivity for the analysis of sulfonamides in three different brands of honey. Four greenness assessment tools were confirmed that the proposed method is more eco-friendly method. Therefore, the proposed methods have potential to be used as alternative green extraction method compared to our previous report (Khiaophong, & Vichapong, 2024).</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107832"},"PeriodicalIF":4.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongjian Li , Mingxin Han , Liangzhuang Wang , Chengyun Si , Yingxiang Du , Xuefang Luo
{"title":"One-pot synthesized AgNPs@capillary SERS substrate for on-site detection of acetamiprid and carbendazim residues in citrus peels","authors":"Dongjian Li , Mingxin Han , Liangzhuang Wang , Chengyun Si , Yingxiang Du , Xuefang Luo","doi":"10.1016/j.jfca.2025.107854","DOIUrl":"10.1016/j.jfca.2025.107854","url":null,"abstract":"<div><div>Pesticide residues pose serious threats to food safety and human health, highlighting the need for rapid and sensitive detection methods. Traditional techniques are often time-consuming and complex, whereas Surface-Enhanced Raman Spectroscopy (SERS) offers a fast and highly sensitive alternative. In this study, silver nanoparticles (AgNPs) were synthesized via a one-pot hydrothermal method using trisodium citrate (TSC) as a reducing agent and polyvinylpyrrolidone (PVP) as a capping agent. By optimizing PVP and TSC concentrations, a novel AgNPs@capillary SERS substrate was fabricated through in situ assembly of AgNPs onto the inner walls of glass capillaries. The substrate enabled rapid, on-site detection of pesticide residues, specifically the neonicotinoid acetamiprid (ACE) and benzimidazole fungicide carbendazim (CBZ). SERS measurements showed strong linear correlations for ACE (R² = 0.9713, 0.01–0.5 μg/mL) and CBZ (R² = 0.9566, 0.005–0.5 μg/mL). Importantly, the detection limits reached 2.28 × 10⁻³ μg/mL for ACE and 6.25 × 10⁻³ μg/mL for CBZ, demonstrating excellent sensitivity. This study confirms the effectiveness of the one-pot synthesized AgNPs@capillary SERS platform as a practical tool for trace-level pesticide monitoring in environmental and food safety contexts.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107854"},"PeriodicalIF":4.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144189773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tian Zhou , Liqing Le , Qiang Wang , Dabing Xiang , Lianxin Peng , Liang Zou , Chenggang Liang , Yan Wang , Changzhong Ren , Laichun Guo , Yu Fan , Yan Wan
{"title":"Quality analysis and comprehensive evaluation of different cultivars of Tartary buckwheat in different regions","authors":"Tian Zhou , Liqing Le , Qiang Wang , Dabing Xiang , Lianxin Peng , Liang Zou , Chenggang Liang , Yan Wang , Changzhong Ren , Laichun Guo , Yu Fan , Yan Wan","doi":"10.1016/j.jfca.2025.107859","DOIUrl":"10.1016/j.jfca.2025.107859","url":null,"abstract":"<div><div>Tartary buckwheat has garnered significant attention due to its dense nutrient profile. Nevertheless, limited reports exist on the variances in nutritional and functional active ingredients among Tartary buckwheat. This study used multivariate statistical methods to analyze the comprehensive quality of Tartary buckwheat. The findings indicated notable differences in the nutritional content of Tartary buckwheat. The inferior and superior overall quality cultivars are HuNan 7–2 and DingKu 2 (DK-2). Tartary buckwheat planted in Dingxi, Gansu (GSDX), is abundant in minerals (e.g., K 233.93 mg/100 g, Fe 4.58 mg/100 g, Zn 2.37 mg/100 g) and starch (56.25 %); Tartary buckwheat planted in Liangshan, Sichuan (SCLS) (4.68 %) and Diqing, Yunnan (YNDQ) (4.73 %) is abundant in fat. Both Taiyuan, Shanxi, and Guyuan, Ningxia are suitable for planting DK-2, while GSDX, SCLS, and YNDQ are respectively suitable for planting CiQiao, DingKu 1, and ChuanQiao 1. GSDX is a relatively optimal location for Tartary buckwheat cultivation.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"146 ","pages":"Article 107859"},"PeriodicalIF":4.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144195708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lamprini Dimitriou , Michalis Koureas , Sofia Kapageridou , Christos S. Pappas , Athanasios Manouras , Eleni Malissiova
{"title":"Meat authenticity predictive classification by implementing Fourier transform infrared spectroscopy (FTIR) combined with chemometrics","authors":"Lamprini Dimitriou , Michalis Koureas , Sofia Kapageridou , Christos S. Pappas , Athanasios Manouras , Eleni Malissiova","doi":"10.1016/j.jfca.2025.107862","DOIUrl":"10.1016/j.jfca.2025.107862","url":null,"abstract":"<div><div>Authentication of meat products using rapid, non-destructive methods remains a critical challenge in food quality control. This study evaluated the potential of Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy combined with chemometric techniques for distinguishing beef, pork, and sheep meat from slaughterhouses in Thessaly. Ninety-one meat samples were analyzed in both raw and freeze-dried from across multiple spectral regions (600–4000 cm⁻¹). Partial Least Squares Discriminant Analysis (PLS-DA) achieved 92.86 % classification accuracy for raw samples using the full spectral range. The analysis of spectral data from freeze-dried samples yielded an accuracy if 82.14 %, which rose to 85.71 % when specific spectral regions were analyzed. The results demonstrate that ATR-FTIR spectroscopy combined with PLS-DA provides a reliable, rapid method for classification of meat types. This proof-of-concept study suggests that the method has the potential to be applied to quality control and fraud detection in meat products.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107862"},"PeriodicalIF":4.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of adjuvants on the degradation rate of formetanate hydrochloride in tomatoes and cucumbers under greenhouse and field conditions in Türkiye","authors":"Tarık Balkan , Mehmet Kızılarslan","doi":"10.1016/j.jfca.2025.107830","DOIUrl":"10.1016/j.jfca.2025.107830","url":null,"abstract":"<div><div>This study investigated the dissipation kinetics of formetanate hydrochloride (FMT) in tomatoes and cucumbers under greenhouse and open-field conditions in Türkiye. Four treatments were applied to both crops: a single dose, a double dose, FMT with a spreader, and FMT with sugar. Residue analysis was conducted using a validated QuEChERS–LC-MS/MS method. In greenhouse-grown tomatoes, the initial FMT concentrations ranged from 0.38 to 0.59 mg/kg, and the half-lives ranged from 4.25 to 4.53 days. In field-grown tomatoes, the half-lives ranged from 5.33 to 8.15 days, indicating slower degradation under open-field conditions. For greenhouse-grown cucumbers, the half-lives ranged from 2.91 to 3.47 days. Residue levels in field-grown cucumbers could not be determined due to insufficient residue concentrations. The results indicated that both environmental conditions and the addition of adjuvants influenced the degradation dynamics of FMT. These findings provide important data for improving pesticide application strategies and ensuring food safety.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107830"},"PeriodicalIF":4.0,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jacob Tizhe Liberty , Md. Hafizur Rahman Bhuiyan , Michael Ngadi
{"title":"Advancements in rapid and non-destructive approaches for quality assessment of fried foods and frying oil","authors":"Jacob Tizhe Liberty , Md. Hafizur Rahman Bhuiyan , Michael Ngadi","doi":"10.1016/j.jfca.2025.107839","DOIUrl":"10.1016/j.jfca.2025.107839","url":null,"abstract":"<div><div>This study investigated the advancement in quick and non-destructive ways of assessing the quality of fried meals and frying oil, with the goal of improving food safety and consumer pleasure. Traditional quality assessment approaches sometimes include time-consuming and harmful testing, which limits their usefulness in real-time monitoring. It looked at the progression of traditional methods and the emergence of cutting-edge technologies, with a particular emphasis on the integration of multimodal approaches. This review focuses on modern approaches including spectroscopy, imaging technologies, and electronic noses that allow for the quick evaluation of essential quality features of frying oil and fried food products such as texture, color, and oil degradation. Key findings show that these unconventional approaches (e.g., NIR-spectroscopy, electric nose, imaging, etc.) are a reliable alternative to established studies, allowing producers to optimize frying operations while maintaining product integrity. However, the report acknowledges some limitations. Non-destructive approach calibration can be complicated, requiring large datasets to maintain accuracy across multiple food matrices. Furthermore, the initial price of new equipment may be a barrier for smaller food producers. Despite these challenges, incorporating quick and non-destructive procedures into quality evaluation is a big step forward for the food sector, supporting increased safety, efficiency, and product quality. Future research recommendations emphasize the need of continuous inquiry in addressing difficulties and discovering new possibilities. Future research should focus on standardizing these procedures and tackling scaling challenges in order to maximize their use across a wide range of food products.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107839"},"PeriodicalIF":4.0,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michaela Nesvadbova , Radka Dziedzinska , Vladimir Babak , Petr Kralik
{"title":"Detection and quantification of the canine DNA in meat DNA mixes and meat mixtures by real time PCR and digital droplet PCR","authors":"Michaela Nesvadbova , Radka Dziedzinska , Vladimir Babak , Petr Kralik","doi":"10.1016/j.jfca.2025.107855","DOIUrl":"10.1016/j.jfca.2025.107855","url":null,"abstract":"<div><div>Accurate detection of animal species in meat products is essential for food safety, regulatory compliance, and the prevention of food fraud. This study presents the development and validation of a modified quadruplex quantitative PCR (qPCR) assay and singleplex droplet digital PCR (ddPCR) for the detection and quantification of canine DNA in meat and DNA mixtures. Two- and three-species samples containing canine, pork, and chicken components (0.1 %–100 %) were prepared, including heat-treated variants. A simplified quantification approach using a single 100 % DNA reference diluted to 10 ng/µL was applied in both methods. Results from qPCR and ddPCR were statistically evaluated using ANOVA, RMSD, and coefficient of variation (CV). Both methods yielded accurate results across most concentration ranges, with no significant differences in calculated percentages. However, qPCR exhibited significantly higher variability than ddPCR, especially at extreme concentrations (<1 % and >99 %). ddPCR showed superior performance in three-species mixtures and yielded lower RMSD values overall. Despite higher variability at detection limits inherent to PCR technology, both methods are suitable for routine quantification of canine DNA in meat products. The study confirms that a single-reference standard is a cost-effective and reliable alternative to full calibration curves for species quantification.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"146 ","pages":"Article 107855"},"PeriodicalIF":4.0,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Commentary: Selected factors influencing quantitative HS-SPME analyses of volatile compounds in alcoholic beverages","authors":"Henryk H. Jeleń, Martyna N. Wieczorek","doi":"10.1016/j.jfca.2025.107852","DOIUrl":"10.1016/j.jfca.2025.107852","url":null,"abstract":"<div><div>This commentary serves as an aid in HS-SPME analysis of food volatiles, particularly in alcoholic beverages, by examining key phenomena that occur when commonly used polymer-based SPME fibers are selected for analysis. Presented experiments were designed using two model compounds: 3-methyl-1-butanol and ethyl octanoate, characterized by different physicochemical properties, analyzed in an aqueous matrix containing low ethanol levels. The study explores the displacement on the SPME fiber, as well as the influence of matrix composition. Additionally, it compares adsorptive fiber coatings (CAR/DVB/PDMS) with absorptive coatings (PEG) to highlight the difference in extraction behavior. The goal of this paper was to demonstrate the source of “unexpected” results obtained during SPME extraction, and further propose some possible solutions of these challenges.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107852"},"PeriodicalIF":4.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Júlio C. Machado Jr. , Celso D. Carvalho , Miguel A. Faria , Armindo Melo , Zita E. Martins , Miguel Cancela , Isabel M.P.L.V.O. Ferreira
{"title":"Impact of elderberry enrichment on beers: Effects of addition stage, pasteurization, filtration, production scale, and ageing on anthocyanin content, bioactivity, and sensory properties","authors":"Júlio C. Machado Jr. , Celso D. Carvalho , Miguel A. Faria , Armindo Melo , Zita E. Martins , Miguel Cancela , Isabel M.P.L.V.O. Ferreira","doi":"10.1016/j.jfca.2025.107845","DOIUrl":"10.1016/j.jfca.2025.107845","url":null,"abstract":"<div><div>In this study, innovative beers were developed by incorporating elderberries as a source of bioactive compounds in two styles: Blonde Ale and Catharina Sour. The impact of elderberry addition at different brewing stages, filtration, pasteurization, production scale, and ageing on anthocyanin content (cyanidin-3-O-sambubioside-5-O-glucoside, cyanidin-3,5-O-diglucoside, cyanidin-3-O-sambubioside, and cyanidin-3-O-glucoside), sensory properties, and bioactivity (antiproliferative effect on Caco-2 colorectal adenocarcinoma cells) was evaluated. The addition of elderberries significantly changed the beer’s colour, specific gravities, and bitterness. Elderberries increased colour intensity, especially when added at the maturation stage. Anthocyanin quantification revealed higher concentrations, above 10 mg/L of cyanidin-3-O-sambubioside-5-O-glucoside and cyanidin-3-O-sambubioside, in beers with elderberries added during maturation. Sensory analysis showed enhanced red colour, turbidity, and red fruit aroma, with a higher appreciation for beers with elderberries added during maturation. Bioactivity tests demonstrated that elderberry addition during maturation significantly increased the antiproliferative activity against human colorectal adenocarcinoma Caco-2 cells. The percentage of cell growth reduced from 68.0 ± 6.0 % to 49.2 ± 8.4 % when the cells were cultured with dilutions of beers without and with fruit addition, respectively. With the effect persisting after pasteurization. Principal Component Analysis (PCA) and Agglomerative Hierarchical Clustering (AHC) linked higher antiproliferative activity to specific anthocyanins in the present conditions. Scale-up to an industrial craft beer scale (500 L) confirmed the trends observed on the laboratory scale, with some variations in anthocyanin content. The industrial-scale beers maintained their antiproliferative activity, reinforcing the potential of elderberry-enriched beers as functional beverages.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107845"},"PeriodicalIF":4.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nutritional analysis of AI-generated diet plans based on popular online diet trends","authors":"Hatice Merve Bayram , Sedat Arslan","doi":"10.1016/j.jfca.2025.107850","DOIUrl":"10.1016/j.jfca.2025.107850","url":null,"abstract":"<div><div>This study aimed to evaluate the nutritional composition and consistency of 1500 kcal daily diet plans generated by four generative Artificial Intelligence (AI) tools (ChatGPT-4, ChatGPT-4o, Mistral, and Claude) based on five popular diet types identified via Google Trends (keto, paleo, Mediterranean, intermittent fasting, and raw). Each AI model was prompted with standardized requests, and the resulting menus were analyzed using Nutrition Information System (BeBIS) (version 9.0) to determine energy, macronutrient, and micronutrient content. Nutrient composition differences across AI tools were statistically assessed using SPSS 24.0 (ANOVA, p < 0.05). Results showed significant variations between AI outputs, with energy values ranging from 1357 kcal to 2273 kcal and protein intake varying by up to 65 g across models. Notable inconsistencies were also found in micronutrients such as calcium, iron, and vitamin D. AI models often failed to meet targeted caloric levels and showed inconsistent adherence to diet-specific nutrient profiles. These discrepancies suggest limitations not only in the AI tools’ capabilities but also in their interpretation of user prompts. The findings highlight the need for improved prompt design, database integration, and AI training for safe and reliable use in personalized nutrition.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"145 ","pages":"Article 107850"},"PeriodicalIF":4.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}