Food Analytical Methods最新文献

{"title":"Determination of Fatty Aldehyde Profile in Vegetable Oil using 4-Hydrazinobenzoic Acid as a Derivatizing Agent Followed by Capillary Zone Electrophoresis","authors":"Aitzel D. Carbajal-Mendoza,&nbsp;Jorge Lopez-Tellez,&nbsp;Mariana Flores-Jarillo,&nbsp;Eva M. Santos,&nbsp;Jose A. Rodriguez","doi":"10.1007/s12161-026-03284-5","DOIUrl":"10.1007/s12161-026-03284-5","url":null,"abstract":"<div><p>Historically, determining the fatty aldehyde profile has been essential for quality control in diverse foods, a process typically carried out using liquid chromatography and derivatization with 2,4-dinitrophenylhydrazine. Nevertheless, this approach presents several disadvantages, such as high solvent consumption, elevated costs, and long analysis times; furthermore, the isomeric separation of derivatization products within the chromatographic profiles compromises sensitivity, precision, and accuracy. Therefore, this study proposes an alternative methodology for the determination of the aldehydes pentanal, hexanal, heptanal, octanal, nonanal, and decanal in edible vegetable oil using capillary zone electrophoresis and 4-hydrazinobenzoic acid as a derivatizing agent. Separation by capillary zone electrophoresis was performed using a 40.0 mM sodium tetraborate background electrolyte at pH 10.0, applying a separation voltage of 10 kV and detection at 290 nm. The hydrazones were characterized by using infrared spectroscopy and ¹H nuclear magnetic resonance. The proposed methodology was optimized using a Box-Behnken experimental design; subsequently, it was validated and applied to the determination of fatty aldehydes in edible oil samples, obtaining limits of detection in the interval of 0.17 to 0.87 mg L⁻¹ and demonstrating adequate accuracy and precision (relative standard deviations of less than 10%). The proposed method is efficient and suitable for quality control of lipid degradation, representing a viable analytical alternative comparable to conventional chromatographic methods.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149035011","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":"A Calibration–Validation Framework for HPLC–DAD Quantification of Phenolic Compounds in Plant-Based Food Matrices","authors":"Radoslav Židek,&nbsp;Silvia Jakabová,&nbsp;Július Árvay,&nbsp;Ľubomír Belej,&nbsp;Daniela Lukáčová,&nbsp;Martina Fikselová","doi":"10.1007/s12161-026-03270-x","DOIUrl":"10.1007/s12161-026-03270-x","url":null,"abstract":"<div><p>High-performance liquid chromatography with diode-array detection (HPLC-DAD) is widely used for quantifying phenolic compounds in food matrices; however, calibration-model selection and limit of detection/limit of quantification (LOD/LOQ) calculations are often reported only briefly. This study used a single calibration dataset for ten phenolic compounds to compare ordinary least-squares (OLS) linear regression, quadratic regression and 1/<i>x</i>² weighted regression, together with four LOD/LOQ calculation methods: software baseline noise, signal-to-noise repeatability, intercept standard error and the ICH Q2 regression-based approach applied to three calibration models. This design yielded six LOD/LOQ estimates per analyte. The methodological choice strongly affected analytical interpretation: for gallic acid, LOD estimates ranged from 0.123 to 42.73 µg mL⁻¹, a 347-fold span from the same data. Linear OLS produced poor low-concentration inverse predictions, whereas 1/<i>x</i>² weighting lowered the empirical back-calculation threshold from 132.9 to 4.2 µg mL⁻¹. Chlorogenic acid further showed that a high coefficient of determination can mask detector-response saturation above 20 µg mL⁻¹. Applying alternative thresholds to plant-based by-products changed some results from quantitative to semi-quantitative or below detection. These findings support routine reporting of the regression model, weighting scheme, low-level precision, residual diagnostics, back-calculation recovery and the exact LOD/LOQ calculation method in HPLC-DAD food analysis.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149034965","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 of a Fluorescence Polarization Immunoassay for the Rapid Detection of Oxyfluorfen Residues in Agricultural and Environmental Samples","authors":"Yuting Tan,&nbsp;Ruijia Shi,&nbsp;Xinyan Qiu,&nbsp;Yuqing Wang,&nbsp;Enze Sheng","doi":"10.1007/s12161-026-03257-8","DOIUrl":"10.1007/s12161-026-03257-8","url":null,"abstract":"<div><p>A homogeneous fluorescence polarization immunoassay (FPIA) was developed for quantifying oxyfluorfen residues in agricultural products and environmental samples. We optimized the fluorescent tracer, antibody concentration, and assay conditions to determine the method’s optimal working parameters. Under these conditions, the FPIA exhibited an IC₅₀ of 5.71 ng/mL and a detection range of 1.15 ng/mL–312.72 ng/mL. The assay showed low cross-reactivity and the recoveries in four matrices (soil, pear, peach, and grape) were 79.2%–107.1% with RSDs of 2.2%–10.3%. For sample preparation, the matrices were extracted with borate buffer containing 50% methanol, followed by appropriate dilution (20-fold for soil and fivefold for fruits) to eliminate matrix effects prior to FPIA analysis. We compared FPIA results with HPLC on real pear samples; the correlation equation demonstrating strong agreement between methods. These results indicate that the FPIA developed here is accurate, reliable, and suitable for rapid screening of oxyfluorfen residues in the tested agricultural and environmental matrices.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149034984","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 of Conventional, Real-Time, and Ultrafast Real-Time PCR Assays for the Accurate Identification of Ibacus Novemdentatus (Smooth Fan Lobster)","authors":"Ji Seok Yi,&nbsp;Ho Soo Lim,&nbsp;Moon Ik Chang","doi":"10.1007/s12161-026-03265-8","DOIUrl":"10.1007/s12161-026-03265-8","url":null,"abstract":"<div><p>This study developed three DNA-based PCR assays targeting the cytochrome c oxidase subunit I (<i>COI</i>) mitochondrial gene to identify <i>Ibacus novemdentatus</i>, a smooth fan lobster. Conventional PCR and real-time PCR (RT-PCR) assay exhibited specificity for the smooth fan lobster, with no cross-reactivity with eight non-target species. The assays were further refined to develop an ultrafast RT-PCR assay capable of detecting smooth fan lobster within 30-min PCR reaction time. The specificity, sensitivity, and false-positive and false-negative rates of the three assays complied with the CODEX and US FDA guidelines. We evaluated the applicability of these assays using 17 commercial products. Furthermore, direct lysis buffer (DLB)-based ultrafast RT-PCR has been confirmed as a useful assay for field applications. The three proposed assays are useful tools for accurate detection of smooth fan lobsters in food and have potential applications in the food industry.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149034985","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":"Muscle Outperforms Serum in ATR-FTIR Phenotypic Fingerprinting for Chicken Breed Authentication: An OPLS-DA Feasibility Study","authors":"M. S. Yogeswari,&nbsp;Jinap Selamat,&nbsp;Alfi Khatib,&nbsp;Rashidah Sukor,&nbsp;Mohd Hishammfariz Mohd Amin,&nbsp;Nuzul Noorahya Jambari","doi":"10.1007/s12161-026-03258-7","DOIUrl":"10.1007/s12161-026-03258-7","url":null,"abstract":"","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149034879","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":"Matrix-Adapted ELISA Analysis of Soluble Ovotransferrin in Egg White Under Household Cooking and Gradient Heating","authors":"Jingyi Zhang,&nbsp;Anjia Huang,&nbsp;Shujie Chen,&nbsp;Chenggang Cai,&nbsp;Dongrong Zhu","doi":"10.1007/s12161-026-03260-z","DOIUrl":"10.1007/s12161-026-03260-z","url":null,"abstract":"<div><p>Quantification of ovotransferrin (OVT) in thermally processed egg white matrices is complicated by matrix-dependent changes in extractability and immunoreactivity. This study established a matrix-adapted sandwich enzyme-linked immunosorbent assay (ELISA) workflow to compare soluble, ELISA-detectable OVT in raw egg white, four household-cooked matrices, and a 4 × 3 gradient-heating design (25, 60, 75, and 95 °C; 0, 10, and 20 min). Method performance was evaluated by pre-extraction OVT spiking, bicinchoninic acid (BCA) measurement of total soluble protein, and sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) of pooled soluble extracts. Across three independent spiking batches, mean recoveries were 81.1–92.6%, with within-batch recovery CVs of 1.13–4.46% and between-batch recovery CVs of 3.82–8.85%. Household cooking significantly affected ELISA-detectable soluble OVT [<i>F</i>(4,10) = 4.59, <i>P</i> = 0.0232]; raw egg white had the highest mean, and no significant differences were detected among the four cooked groups. In the matched gradient experiment, temperature, holding time, and their interaction were significant [<i>F</i>(3,6) = 9730.68, <i>F</i>(2,4) = 1524.38, and <i>F</i>(6,12) = 461.53, respectively; all <i>P</i> &lt; 0.0001]. BCA showed marked losses of PBST-extractable soluble protein after household cooking and with prolonged treatment at 75–95 °C, while SDS-PAGE showed altered soluble-protein profiles. These findings support interpretation of ELISA-derived OVT as the soluble, immunoreactive fraction under the specified extraction and antibody-recognition conditions rather than as total OVT retention in the original matrix.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148987033","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":"Multifunctional Nanosensors Powered by Engineered Nanomaterials: Real-Time Monitoring Pathways for Sustainable Agriculture","authors":"Liuyang Qiu,&nbsp;Xinai Zhang,&nbsp;Xinxin Wu,&nbsp;Xiaowei Huang,&nbsp;Zhihua Li,&nbsp;Jiyong Shi,&nbsp;Xiaobo Zou","doi":"10.1007/s12161-026-03251-0","DOIUrl":"10.1007/s12161-026-03251-0","url":null,"abstract":"<div><p>Driven by the imperative to advance conventional agriculture toward precision management, this review examines multifunctional nanosensor-driven systems, elucidating mechanisms enabling sustainable agriculture. We explore five key sensing modalities including electrochemical, fluorescence, surface-enhanced Raman, wearable, and self-powered, highlighting how nanoscale engineering overcomes traditional analytical limitations. Tailored nanomaterials, such as metal nanoparticles, semiconductor quantum dots, upconversion nanoparticles, and metal–organic frameworks, achieve high sensitivity for monitoring soil nutrients, pesticide residues, and plant-stress biomarkers. The convergence of these nanosensors with the Internet of Things and artificial intelligence facilitates closed-loop automated management. This work bridges nanomaterial synthesis and agronomic practice, underscoring nanosensors’ potential to optimize yields, minimize environmental impact, and build resilient agricultural ecosystems.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148986806","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":"Automated Fish Freshness Classification Using Multi-Scale Texture Features from Haar Wavelet Transforms on LAB-Segmented Skin Images","authors":"Swaira Sattar,&nbsp;Touqeer Abbas,&nbsp;Yi Lu,&nbsp;Xuan Hu,&nbsp;Yongming Han,&nbsp;Zhiqiang Geng","doi":"10.1007/s12161-026-03264-9","DOIUrl":"10.1007/s12161-026-03264-9","url":null,"abstract":"<div><p>The freshness of fish is highly affected by post-harvest practices such as handling, processing and storage conditions, which play a critical role in maintaining quality. Therefore, AquaFresh (AF) is proposed to enable non-destructive, real-time fish freshness classification using only external skin textures. This classification works under variable lighting and across multiple species. Images of fish texture are preprocessed and then converted into the LAB color space. Unsupervised clustering, specifically Gaussian Mixture Models (GMM) and K-means, is evaluated to segment the texture regions, with GMM adopted as the primary engine in the final pipeline. These segmented regions are transformed into the wavelet domain using a two-level Haar DWT. Statistical feature, such as the mean and standard deviation of the horizontal detail coefficients, are extracted to represent progressive texture changes. The features are used in a rule-based classification model, which categorizes the samples into freshness ranges (FR1 to FR3) depending on the set limits of reliable decisions. Experimental evaluation on Mackerel, Tilapia and Tuna demonstrates that the extracted texture features show a consistent decrease in freshness with increasing storage duration. This enables reliable classification of freshness levels. The suggested approach is an effective, scaled concept for real-time tracking of fish quality. It has great potential for implementation in industrial applications within seafood supply networks.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148986675","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":"FTIR Spectroscopy as a Rapid Assessment Tool for Rice Seed Quality Assessment During Ambient Storage","authors":"Pallavi Puhan,&nbsp;Manasi Dash,&nbsp;Simanta Mohanty,&nbsp;Bandita Jena,&nbsp;Devraj Lenka,&nbsp;Tanya Barpanda,&nbsp;Nuthangi Shiny Silvia,&nbsp;Bhaskar Chandra Sahoo,&nbsp;Sourav Ranjan Nanda,&nbsp;Sarbajeet Parida","doi":"10.1007/s12161-026-03269-4","DOIUrl":"10.1007/s12161-026-03269-4","url":null,"abstract":"<div><p>The maintenance of seed quality is an essential component of grain storage in rice. However, reliable assessment traits for assessing seed quality in rice have not been comprehensively established. In the present study, rice varieties belonging to aromatic and non-aromatic types were stored in high-density polyethylene bags under ambient conditions and evaluated for seed physiological, biochemical and nutritional parameters over a period of 6 months. Germination declined progressively from 89.87 to 55.33% (38.43% reduction), accompanied by increased moisture content (12.53 to 12.98%) and elevated electrical conductivity (0.68 to 0.88 dS/m) over the 6-month period of storage. Correlation analysis revealed strong positive associations of seed germination with vigour index-I and vigour index-II, while moisture content showed significant negative correlation with dehydrogenase activity. Peroxidase activity exhibited biphasic response with initial decline of 72.46% followed by partial recovery, while superoxide dismutase decreased up to 66.45%. The correlation matrix of biochemical traits indicated coordinated regulation of antioxidant enzymes with antagonistic relationships of dehydrogenase activity. Protein content of the seeds initially under storage declined (−7.14%) while grain iron (+28.63%) and zinc (+15.15%) concentrations increased. Fourier transform infrared (FTIR) spectral data was significantly correlated to storage-induced changes linked to germination, seed vigour, seedling dry weight, electrical conductivity and enzyme activities. Overall, germination percentage, vigour indices, electrical conductivity, antioxidant enzyme profiles and FTIR spectral changes emerged as valuable indicator for quick tracking of seed quality deterioration. These characteristics provide both practical insights for evaluating seed quality and developing rice varieties with enhanced seed longevity. FTIR technique emerged as a simple, quick, non-destructive method for rice seed quality assessment.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148986775","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":"Green Approaches for the Synthesis of Carbon Dots and Their Applications in Drug Delivery and Food Analysis: An Update of the Last 5 Years","authors":"Arshdeep Chopra,&nbsp;Renuka Sharma,&nbsp;Samarth Kumar,&nbsp;Bhupinder Kapoor,&nbsp;Rohit Bhatia","doi":"10.1007/s12161-026-03254-x","DOIUrl":"10.1007/s12161-026-03254-x","url":null,"abstract":"<div><p>A novel category of fluorescent nanomaterials known as carbon dots (CDs) has garnered a lot of interest because of its special physicochemical characteristics. They are especially appealing for a variety of environmental and medicinal applications due to their minimal toxicity, excellent water solubility, and exceptional biocompatibility. Because of these benefits, CDs have shown a great deal of promise in fields like environmental monitoring, medication delivery, bioimaging, and sensing. The harsh chemicals and energy-intensive procedures employed in conventional CD manufacture methods generate financial and environmental issues, whereas green synthesis, which relies on the concepts of green chemistry, provides a sustainable and eco-friendly alternative by using natural starting materials including plant extracts, fruit peels, and food waste. The green synthesis methods discussed in this study, such as hydrothermal, microwave-assisted, and pyrolysis, can be utilized in the production of CDs using bell pepper seeds, neem leaves, bananas, watermelon peels, ginger, agar, etc. The versatility of CDs produced by using green methods (GCDs) is demonstrated by their potential applications in ensuring food safety, bioimaging, administration of drugs, and environmental surveillance. GCDs have been successfully utilized as biosensors for medicines and metal ions, for the targeted administration of chemotherapeutic treatments, and for the identification of food contaminants including pesticides and dyes. This comprehensive study highlights the significant potential of GCDs in the development of sustainable nanotechnology in food analysis and healthcare.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"19 11","pages":""},"PeriodicalIF":3.0,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148986665","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}