Food Analytical Methods最新文献

{"title":"Emerging Technologies in Food Safety: AI-Powered, Nano-enabled, and Biosensor-Based Strategies for Rapid Contaminant Detection","authors":"Shikha Pandhi,&nbsp;Nilima Kumari,&nbsp;Amit Jain,&nbsp;Vinay Sharma","doi":"10.1007/s12161-025-02844-5","DOIUrl":"10.1007/s12161-025-02844-5","url":null,"abstract":"<div><p>Food safety is essential, but conventional detection techniques are slow and ineffective. New technologies such as artificial intelligence (AI), nanotechnology, and biosensors allow fast, accurate, real-time contaminant identification. AI-based machine learning improves food analysis, enhances imaging methods, and combines IoT and blockchain for tracking. Nanotechnology allows ultra-sensitive detection with nanoparticle-based sensors and nanozymes. Biosensors provide specific detection of toxins, pathogens, and contaminants using enzyme-based, immunosensor, and DNA/aptamer-based technologies. Next-generation electrochemical, optical, and paper biosensors increase practical usage. Hybrid concepts such as AI-sensing nanosensors and IoT-based smart packaging have intelligent, automated responses. Challenges of scaling up, regulation, affordability, and sustainability are limitations to widespread adoption. They can be overcome with collaboration, policy structures, and public sensitization. This review aims to explore the latest advancements in food safety technologies, focusing on AI-powered, nano-enabled, and biosensor-based strategies for rapid contaminant detection. It examines how artificial intelligence, nanotechnology, and biosensors transform food safety by enabling the real-time, sensitive, and accurate detection of microbial pathogens, chemical residues, allergens, and other contaminants. Additionally, it analyses recent innovations and effectiveness across different food matrices while addressing challenges such as regulatory concerns, integration barriers, and technological limitations. By providing a comprehensive evaluation of these emerging approaches, this review highlights their potential to enhance food safety monitoring, ensuring improved consumer protection and regulatory compliance.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 9","pages":"2010 - 2024"},"PeriodicalIF":3.0,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144843242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fabrication of Integrated Monolithic Columns Based on Reduced Graphene Oxide-Deep Eutectic Solvents/Bimetallic Metal–Organic Framework@ Molecular Imprinted Polymer for Selective Solid-Phase Extraction of Vitamins D2 and D3 from Milk and Dairy Products","authors":"Fatemeh Kardani,&nbsp;Tahere Khezeli,&nbsp;Mohammad Hashemi,&nbsp;Saeedeh Shariati,&nbsp;Masoud Mahdavinia,&nbsp;Seyyed Mohammad Ali Noori,&nbsp;Aniseh Zarei Jelyani,&nbsp;Marzieh Pashmforosh","doi":"10.1007/s12161-025-02836-5","DOIUrl":"10.1007/s12161-025-02836-5","url":null,"abstract":"<div><p>In this research, solid phase extraction based on a new monolithic column named reduced graphene oxide@deep eutectic solvent-halloysite nanotube/Co_0.5·ZnO_0.5(MeIm)₂@molecular imprinted polymer (rGO@DES-HNT/Co0.5·ZnO0.5(MeIm)₂@MIP) is reported for the simultaneous extraction of vitamins D₃ and D₂ from milk and yogurt samples and their measurement by HPLC–UV. The synthesis of the adsorbent was explained step by step, and the final product was identified by Fourier-transform infrared (FT-IR), scanning electronic microscope (SEM), and X-ray powder diffraction (XRD). To find optimum extraction conditions, the influences of effective variables were investigated using one factor at a time. The method had a suitable linear range (0.1–60 µg/L), a high coefficient of determination (<i>R</i>²; 0.9991 and 0.9987), and a low detection limit (0.05 and 0.03 µg/L) for vitamins D2 and D3, respectively. The applicability of the method was evaluated by estimating the recovery of analytes from milk and yogurt samples. Recovery of more than 91.95% and RSDs of less than 3.4% show the acceptable accuracy and precision of the proposed method.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 9","pages":"1995 - 2009"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144843222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development, Validation, and Application of a Cold-Induced Phase Separation Method for 10 Nitroimidazole Residues in Meats and Egg","authors":"Yinglong Zhang,&nbsp;Guohui Du,&nbsp;Xinli Ding","doi":"10.1007/s12161-025-02845-4","DOIUrl":"10.1007/s12161-025-02845-4","url":null,"abstract":"<div><p>This study developed a novel analytical method based on cold-induced phase separation (CIPS) coupled with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) for simultaneous determination of 10 nitroimidazoles (NIMs) in various animal-derived food matrices, such as pork, chicken, egg, beef, and mutton. Systematic optimization of critical parameters (acetonitrile/water ratio 8:2 v/v, neutral pH) yielded excellent analytical performance, with quantification limits (LOQs) of 0.1–0.5 μg/kg, recoveries of 78.0–106.5%, and relative standard deviations below 20%, fully compliant with the Codex Alimentarius standards. The CIPS technique effectively precipitated lipids and polar interferents through freezing, significantly reducing co-extractive interference and maintaining matrix effects (MEs) within − 13 to 15.6%, thereby enabling accurate quantification without matrix-matched calibration while improving throughput and reducing costs. Method validation demonstrated excellent applicability and reliability across different matrices. The simple, low-cost method provides an efficient solution for monitoring trace NIMs in animal-derived foods, demonstrating potential for food safety applications.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 9","pages":"1981 - 1994"},"PeriodicalIF":3.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144843221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combining Colorimetric Sensor Technology with Swarm Intelligence Feature Optimization Algorithm to Realize High Precision Identification of Aflatoxin-B1 Content in Peanut Oil","authors":"Congli Mei,&nbsp;Jingwen Zhu,&nbsp;Wencheng Zhu,&nbsp;Huazhi Wang,&nbsp;Hui Jiang","doi":"10.1007/s12161-025-02848-1","DOIUrl":"10.1007/s12161-025-02848-1","url":null,"abstract":"<div><p>Aflatoxin B1 is a major contaminant in edible oils, posing a significant threat to food safety. In this study, an olfactory visualization system based on a colorimetric sensor array (CSA) was developed to rapidly detect aflatoxin B1 contamination in peanut oil. Nine different chemical dyes were selected to extract volatile organic compounds (VOCs) from peanut oil samples, and image data were then processed using a machine vision algorithm. Several classification models, including linear discriminant analysis (LDA), random forest (RF), and support vector machine (SVM), were evaluated, with SVM demonstrating the best performance. To further enhance the prediction accuracy, swarm intelligence optimization algorithms—specifically the Sparrow Search Algorithm (SSA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), and Whale Optimization Algorithm (WOA)—were employed to optimize the selection of color feature variables. Among these, the WOA-SVM model achieved the highest accuracy, reaching 95.83% on the test set. These findings suggest that the integration of swarm intelligence optimization with the colorimetric sensor array (CSA) significantly enhances the detection accuracy of aflatoxin B1 in peanut oil.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1954 - 1963"},"PeriodicalIF":3.0,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gas Chromatography-Mass Spectrometry (GC–MS) and 1H Nuclear Magnetic Resonance (NMR)-Based Profiling and Phytochemical Screening Revealed Industrially Important Metabolites in Wild Seabuckthorn (Hippophae salicifolia D.Don) Berries","authors":"Sugandh Singh,&nbsp;Prakash Chand Sharma","doi":"10.1007/s12161-025-02841-8","DOIUrl":"10.1007/s12161-025-02841-8","url":null,"abstract":"<div><p>In recent years, seabuckthorn (<i>Hippophae</i> spp.) has garnered global interest due to its diverse applications in traditional medicine, nutraceuticals, and cosmeceuticals. This wide applicability is attributed to the plant’s rich composition of bioactive phytochemicals, which may vary significantly based on regional factors affecting plant growth and harvesting. In Uttarakhand (India), the rising demand for herbal products has dramatically increased the trade of plant materials within the state. Despite this surge, seabuckthorn cultivation in the region remains unorganized, and critical ethnobotanical knowledge is at risk of being lost. Recognizing this alarming scenario, the present study aims to explore the unexplored metabolome of <i>Hippophae salicifolia</i> berries collected from three ecologically distinct regions of Uttarakhand: Badrinath, Yamunotri, and Gangotri. This is the first study from the region employing a dual-platform approach—gas chromatography-mass spectrometry (GC–MS) and proton nuclear magnetic resonance (¹H NMR)—to achieve comprehensive metabolomic profiling. While most previous studies have relied on a single analytical platform, limiting their coverage of the metabolome, our integrative method enhances analytical breadth and reliability. Phytochemical screening, performed using both qualitative and quantitative approaches, led to the identification of a total of 318 metabolites—305 by GC–MS and 13 by ¹H NMR. Many of these compounds are of significant industrial value, reinforcing the economic and pharmacological importance of <i>H. salicifolia</i>. This study not only enriches the phytochemical database of seabuckthorn but also supports future strategies for its cultivation, sustainable utilization, and germplasm conservation in the Himalayan region. The findings can further contribute to the standardization and quality assessment of seabuckthorn-based products in the food and pharmaceutical industries.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1964 - 1980"},"PeriodicalIF":3.0,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Solvent Polarity on Phytocompound Fingerprinting of Cinnamon Bark: Insights from HPTLC Analysis","authors":"Sanjib Kumar Panda,&nbsp;Nilima Mohanty,&nbsp;Pallavi Khuntia,&nbsp;Ashwini Mallad,&nbsp;Deepak Jena","doi":"10.1007/s12161-025-02842-7","DOIUrl":"10.1007/s12161-025-02842-7","url":null,"abstract":"<div><p>The polarity of the mobile phase plays a critical role in the chromatographic separation and fingerprinting of phytocompounds. In this study, high-performance thin-layer chromatography (HPTLC) was employed to investigate the impact of mobile-phase polarity on the separation of phytocompounds extracted from cinnamon bark (<i>Cinnamomum cassia</i>) validated against the Botanical Reference Material procured from American Herbal Pharmacopoeia. Different solvent systems with varying polarities were assessed to enhance the resolution and visibility of distinct chemical profiles in cinnamon extracts obtained through solvents of different polarities. Results showed that the polarity of the mobile phase significantly affected the migration behaviour of different compounds, with more polar solvents providing better separation of hydrophilic compounds, while non-polar phases enhanced the separation of lipophilic constituents. The optimized solvent system yielded well-defined and reproducible fingerprints, providing a reliable method for identifying the key phytocompounds. This study highlights the importance of selecting an appropriate mobile phase polarity based on the nature of the extract in HPTLC fingerprinting, facilitating the accurate identification of bioactive components for use in nutraceutical and pharmaceutical formulations.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1942 - 1953"},"PeriodicalIF":3.0,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quality Standardization of Flowers of Punica granatum (Dadima) Followed by Multi-marker Analysis in Combination with Multivariate Modeling to Evaluate Different Parts of Flowers and Geographical Variation","authors":"Jyoti Dahiya,&nbsp;Anupam K. Mangal,&nbsp;Ijaz Ahmed,&nbsp;Ankita Ghosh,&nbsp;Talat Anjum,&nbsp;Sonam Tamchos,&nbsp;Shyam B. Prasad,&nbsp;Deepak Kumar,&nbsp;Simmi Mall,&nbsp;Sreya Dutta,&nbsp;Shiddamallayya N.,&nbsp;Gajji Babu","doi":"10.1007/s12161-025-02830-x","DOIUrl":"10.1007/s12161-025-02830-x","url":null,"abstract":"<div><p>Pomegranate flowers, scientifically known as <i>Punica granatum</i> L. (Punicaceae), are extremely nutritious and consumed by many communities. They are used as both a food and a medicine, and there are numerous folk claims to support their use. However, it lacks a quality evaluation process, limiting its acceptance and use. Despite their significant pharmacological activity, no detailed botanical and chemical analyses of the various floral sections have been published. Hence, in this study, the authors aimed to generate pharmacognostical and chemical standards using analytical techniques. Furthermore, using TLC fingerprint and marker-based analysis, different flower parts (androecium, petals, calyx, pedicel, and receptacle) were subjected to a systematic comparative chemical investigation. The results were compared to the full flower to determine which part contributes the most to the overall chemical composition of the flower. The fingerprint data was also examined for overall similarity using multivariate procedures such as principal component analysis and hierarchical clustering. According to fingerprint analysis, there is a high degree of chemical similarity between <i>Punica grantaum</i>’s different components and complete flower samples. Nevertheless, marker analysis indicated that the calyx and androecium had significantly high marker components and the antioxidant activity than the whole flower. As a result, they could be used instead of the entire flower to enrich the extract for targeted marker components. Additionally, samples from lower-temperature locations (Mandi and Ranikhet) had a higher concentration of the bioactive component than samples from higher-temperature (Bangalore and Kolkata) regions, according to this study.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1927 - 1941"},"PeriodicalIF":3.0,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrochemical Impedimetric Sensor for Carbofuran Based on Screen-Printed Carbon Electrode Modified with Electrosynthesized Molecularly Imprinted Polypyrrole","authors":"Ma. Robellene S. Castillo,&nbsp;Jose H. Bergantin Jr,&nbsp;Fortunato Sevilla III","doi":"10.1007/s12161-025-02838-3","DOIUrl":"10.1007/s12161-025-02838-3","url":null,"abstract":"<div><p>Carbamate pesticides are widely used to improve agricultural production; however, their widespread application may leave residues in food, posing a severe threat to human health. In this study, an impedimetric sensor was developed for carbofuran (CBF), a common carbamate pesticide. The CBF sensor was based on a screen-printed carbon electrode modified with molecularly imprinted polypyrrole (MIPPy). MIPPy was deposited on the electrode through electropolymerization of pyrrole using cyclic voltammetry in the presence of CBF. Electrochemical impedance spectroscopy (EIS) was employed as the transduction principle for detecting CBF in aqueous solutions. The electropolymerization and measurement parameters affected the sensor response and were optimized. The sensor response was linear over a concentration range of 0.01 to 0.3 ppm CBF, with a Pearson coefficient of 0.992. The sensor exhibited good reproducibility and accuracy. The sensor was applied successfully in the determination of CBF in vegetable samples and validated through comparison with HPLC results.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1899 - 1913"},"PeriodicalIF":3.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement of Morphometric Traits and Estimation of Body Weight of Gilthead Seabream and European Seabass using 3D Reconstruction Simulations with the Coded Structured Light Technique","authors":"Christos N. Veinidis,&nbsp;Fotis Arnaoutoglou,&nbsp;Nafsika Karakatsouli","doi":"10.1007/s12161-025-02839-2","DOIUrl":"10.1007/s12161-025-02839-2","url":null,"abstract":"<div><p>Estimating fish biometric characteristics without human intervention is one of the most significant challenges in modern aquaculture. In this paper, a simulation-based method for estimating key geometric characteristics and the weight of gilthead seabream and European seabass is presented. The proposed method implements 3D reconstruction of these fish using the Coded Structured Light method, which is an efficient stereoscopic technique. The extracted 3D reconstructions are used to calculate the standard length, body height and area of the fish, and subsequently, based on these measurements, to estimate their weight. The experiments are conducted by placing the fish at various distances from the system components during the simulations. Obtained results indicate that depending on measuring distance and fish weight class, precise measurements of morphometric traits, as well as accurate body weight estimation through regression analysis, is achieved (<span>({R}^{2}&gt;0.99)</span>, MAPE as low as 4.9%). Overall, the proposed methodology demonstrates remarkable effectiveness, encouraging enough to suggest that the presented technique can serve as the initial stage for similarly efficient evaluations in the field.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1914 - 1926"},"PeriodicalIF":3.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable Optimization of Ohmic Heating–Assisted Extraction of Polyphenolics from Goji Berry (Lycium barbarum L.): LC–MS/MS Profiling and Blueness–Greenness Assessment","authors":"Harun Kantar,&nbsp;Nesrin Ecem Bayram","doi":"10.1007/s12161-025-02831-w","DOIUrl":"10.1007/s12161-025-02831-w","url":null,"abstract":"<div><p>This study aimed to extract bioactive compounds from goji berry (<i>Lycium barbarum</i> L.) fruit using the ohmic heating–assisted extraction (OHAE) method and optimize the extraction conditions. In this context, firstly, the extraction conditions to be applied for the OHAE method were determined using the response surface method (RSM)-Box Behnken experimental design. During the study, temperature, holding time, and electrical field strength were determined as independent variables, while the total phenolic compound (TPC), total flavonoid compound (TFC), and antioxidant activity (DPPH) were selected as dependent variables. As a result of the optimization, the optimum conditions were determined to be 60 °C for the temperature, 60 min for the holding time, and 45 V/cm for the electrical field strength, and the composite desirability value of the model was 0.90. The highest experimental results for TPC, TFC, and DPPH were found to be 23.83 mg GAE/g, 7.33 mg QE/g, and 24.53 mg TE/g, respectively. In addition, the polyphenolic profiles of all extracts obtained under different process conditions were determined by LC–MS/MS, and rutin was the phenolic detected at the highest rate in the extracts. In addition, the blueness and greenness of the analytical method used in this study were evaluated using the BAGI and ComplexGAPI metrics, respectively. The results indicate that OHAE is an effective and sustainable method for extracting bioactive compounds from goji berries.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 8","pages":"1884 - 1898"},"PeriodicalIF":3.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-025-02831-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}