Food Analytical Methods最新文献

{"title":"A Novel Detection Method for Biogenic Amine Based on Dopant-Assisted Positive Photoionization Ion Mobility Spectrometry","authors":"Shasha Cheng,&nbsp;Jiale Ma,&nbsp;Mingqian Tan","doi":"10.1007/s12161-025-02859-y","DOIUrl":"10.1007/s12161-025-02859-y","url":null,"abstract":"<div><p>Biogenic amines are crucial indicators of food freshness, and their detection is vital for ensuring food quality. This paper proposed a novel method for detecting three biogenic amines, namely spermine, spermidine, and histamine, based on dopant-assisted positive photoionization ion mobility spectrometry (DAPP-IMS) equipped with a thermal desorption sampler. Acetone was employed as the optimum dopant following a screening process based on the response of three biogenic amines and the peak-to-peak separation of the product ions and reactant ions. The different thermal desorption times of spermine, spermidine, and histamine resulted in varying entry times of the analytes into the reactive region, which partly reduced the competitive ionization between the analytes. The drift tube temperature significantly influenced the response signals of spermine, spermidine, and histamine in DAPP-IMS and the formation of histamine product ions. Quantitative analysis revealed that DAPP-IMS could realize the quantitative detection of spermine, spermidine, and histamine across mass ranges of 2.5 to 50 ng, 5 to 125 ng, and 25 to 175 ng, respectively, with the limits of detections of 0.5 ng, 0.5 ng, and 20 ng. These results highlighted that DAPP-IMS has great potential for the detection of biogenic amines in food to ensure quality and safety.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2208 - 2219"},"PeriodicalIF":3.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998584","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":"Impact of Extraction Techniques and Solvent Systems on the Antioxidant Activity and Fatty Acid Composition of Scenedesmus parvus Extracts","authors":"Iqbal Iman Ruzi,&nbsp;Siti Nurfatimah Mohd Shahpudin,&nbsp;Sharlina Mohamad,&nbsp;Mohd Asyraf Kassim","doi":"10.1007/s12161-025-02864-1","DOIUrl":"10.1007/s12161-025-02864-1","url":null,"abstract":"<div><p><i>Scenedesmus parvus</i>, a Malaysian freshwater microalga, has emerged as a promising source of secondary metabolites with potential applications in nutraceutical, pharmaceutical, food, and cosmetic industries. This study aimed to assess the extraction yield, total phenolic and flavonoid content, and antioxidant potential of <i>S. parvus</i> extracts obtained using different extraction methods, including sonication, maceration, and Soxhlet extraction methods. Additionally, the fatty acid profile and key chemical constituents of <i>S. parvus</i> were analyzed using gas chromatography-flame ionization detection (GC-FID). To date, this study represents one of the first comprehensive investigations into the synergistic interaction between sonication and solvent systems on the <i>S. parvus</i>, concurrently evaluating effects on both antioxidant activity and lipid profile. The results indicate that the sonication method with methanol as the extraction solvent yielded the highest extraction efficiency (14.65 ± 0.503%), whereas the maceration method with hexane resulted in the lowest yield (1.34 ± 0.371%). Furthermore, the sonicated ethanol extract exhibited the highest total phenolic content (66.32 ± 0.818 mg GAE g⁻¹ DW) and total flavonoid content (684.45 ± 28.928 mg QE g⁻¹ DW). Soxhlet extraction with methanol as solvent demonstrated the highest antioxidant activity, as evidenced by its superior performance in both DPPH (IC50, 0.48 ± 0.035 mg mL⁻¹) and ABTS⁺ (IC50, 0.13 ± 0.003 mg mL⁻¹) radical scavenging assays. These findings highlight the impact of extraction methods on the yield of bioactive compounds and the antioxidant properties of <i>S. parvus</i>. In particular, methanol-based extraction demonstrated significant potential for obtaining high antioxidant activity and an optimal fatty acid profile, underscoring its suitability for applications in nutraceutical, pharmaceutical, food, and cosmetic formulations.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2220 - 2229"},"PeriodicalIF":3.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-025-02864-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998455","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}

{"title":"An Automated Device for Pathogen Detection in Milk Integrating Magnetic Nanoprobes with the Lateral-Flow Immunoassay","authors":"Humza Y. Malik,&nbsp;Lina N. Kafadarian,&nbsp;Jeeth S. Pawar,&nbsp;Robin B. Shi,&nbsp;Emika G. Saito,&nbsp;Isabel Thomas,&nbsp;Daniel T. Kamei","doi":"10.1007/s12161-025-02855-2","DOIUrl":"10.1007/s12161-025-02855-2","url":null,"abstract":"<div><p>Foodborne illnesses, particularly in milk, pose significant public health risks, especially in low-income regions where access to reliable testing is limited. Lateral-flow immunoassays (LFAs) offer rapid detection but suffer from small volume capacity and low sensitivity. To address these challenges, we developed a fully automated device that utilizes immunomagnetic separation (IMS), where magnetic nanoprobes (MNPs) selectively capture <i>Escherichia coli</i> (<i>E. coli</i>) in large volumes of milk. The device then removes excess sample and adds a buffer to minimize matrix effects before LFA application. Our device achieves a limit of detection (LOD) of 5 × 10³ colony-forming units per milliliter (cfu/mL), a 20-fold improvement over the standard LFA setup. The device is composed of inexpensive 3D-printed materials and hobby electrical components and has a time to result of 40 min, requiring only sample input and a single button press to complete the entire workflow. This novel device offers a widely accessible and user-friendly solution for small-scale milk distributors for mitigating food contamination outbreaks.\u0000</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2230 - 2240"},"PeriodicalIF":3.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998528","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":"Calibration Models for Macronutrient (Ca, K, and Mg) Determination in Food Samples Using Laser-Induced Breakdown Spectroscopy: Instruments Comparison and Error Structure Information for Enhanced Predictive Accuracy","authors":"Dennis Silva Ferreira,&nbsp;Juan Buil-García,&nbsp;Jesús M. Anzano,&nbsp;Edenir Rodrigues Pereira-Filho,&nbsp;Fabiola Manhas Verbi Pereira","doi":"10.1007/s12161-025-02862-3","DOIUrl":"10.1007/s12161-025-02862-3","url":null,"abstract":"<div><p>Laser-induced breakdown spectroscopy (LIBS) is gaining prominence in analytical chemistry for direct elemental analysis in solid samples, although its sensitivity remains limited, typically ranging from 1000 mg kg⁻¹ to 100%. Error structure utilization can improve accuracy; however, few LIBS studies employ this approach. Data fusion, although promising, is underutilized due to its high cost and low analytical frequency. This study compares calibration models—partial least squares (PLS), principal component regression (PCR), error covariance penalized regression (ECPR), and maximum likelihood principal component regression (MLPCR)—for analyzing Ca, K, and Mg in non-conventional food plants. Two LIBS instruments, featuring CCD and ICCD detectors, were evaluated individually and through data fusion. ECPR and MLPCR outperformed conventional methods, with ECPR showing superior results. Detection limits ranged from 0.003 g 100g⁻¹ (Mg) to 0.2 g 100g⁻¹ (K), and sensitivity varied between 1.12 and 12.65 (signal area)(g 100g⁻¹)⁻¹. Data fusion significantly improves analytical accuracy, and while cost and frequency factors should be evaluated, the benefits often justify its use for high-precision applications.\u0000</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2190 - 2197"},"PeriodicalIF":3.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998457","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":"An Ultra-Sensitive Electrochemical Sensing Platform Based on a Novel Ternary Heterostructured Ag-TiO2@Zr-TCBPE Nanocomposite for Ciprofloxacin Detection in Food","authors":"Congwei Li,&nbsp;Beibei Wang,&nbsp;Kai Kang,&nbsp;Lanyue Wang,&nbsp;Zhenzhen Zhao,&nbsp;Yuping Wang,&nbsp;Xueping Ji","doi":"10.1007/s12161-025-02829-4","DOIUrl":"10.1007/s12161-025-02829-4","url":null,"abstract":"<div><p>To address ciprofloxacin (CIP) contamination in animal-derived foods, an ultrasensitive electrochemical sensing platform based on a novel ternary heterostructure (Ag-TiO₂@Zr-TCBPE) was developed through interfacial engineering. The heterointerface was constructed by anchoring a metal–metal oxide electrocatalyst (Ag-TiO₂) onto a conductive metal–organic framework (Zr-TCBPE) with a 3D porous hexagonal prismatic structure and high conductivity. This work demonstrates for the first time that the large-scale conjugated architecture of Zr-TCBPE nanotubes enhances CIP enrichment, while the Ag-TiO₂/Zr-TCBPE heterointerface optimizes electron transport pathways and synergistically promotes CIP oxidation via interfacial electric field-driven effects. Under acidic conditions (pH 5.0), the Ag-TiO₂@Zr-TCBPE/GCE sensor exhibited optimal performance: a linear range spanning five orders of magnitude (2.5 nmol·L⁻¹ to 150 μmol·L⁻¹), a limit of detection (LOD) of 1.6 nmol·L⁻¹, surpassing most reported CIP sensors. The sensor also showed high anti-interference capability (97.1–107% signal retention), long-term stability (&gt; 96.4% signal retention after 15 days), and satisfactory recovery rates (91.6–103%) in complex matrices (milk, eggs, and river water). This study provides fundamental insights into TCBPE-MOF heterointerface engineering and establishes a robust analytical platform for detecting trace antimicrobials in food and environmental samples.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2175 - 2189"},"PeriodicalIF":3.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998530","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":"Ultra-Turrax Homogenization–Assisted Extraction of Bioactive Compounds from Olive Pomace Using Response Surface Methodology","authors":"Lynda Guerboub,&nbsp;Ouahiba Soufi-Maddi,&nbsp;Linda Ouldsaadi,&nbsp;Mostapha Bachir bey,&nbsp;Lamia Medouni-Haroune,&nbsp;Khodir Madani,&nbsp;Lila Boulekbache-Makhlouf","doi":"10.1007/s12161-025-02861-4","DOIUrl":"10.1007/s12161-025-02861-4","url":null,"abstract":"<div><p>Olive pomace (OP), by-product of olive oil extraction, consists of residual pulp, skin, and seeds, rich in bioactive compounds. OP represents a valuable yet underutilized resource. This study aims to optimize the extraction of polyphenols (total phenolic compounds, ortho-diphenols, and flavonoids), and the evaluation of antioxidant activity (radical scavenging activity) from OP. The optimization study was carried out using response surface methodology (RSM) with Box-Behnken design (BBD), using for the first time the Ultra-Turrax-assisted homogenization, to enhance the extraction efficiency from OP. The three independent variables selected were solvent concentration (<i>X</i>₁: 40; 60; and 80%), extraction time (<i>X</i>₂: 2; 10; and 20 min), and extraction speed (<i>X</i>₃: 1; 3; and 5 (rpm)). The results revealed that all developed models regarding phenolic contents and antioxidant activity, through experimental design, expressed high levels of significance (<i>p</i>-value &gt; 0.05) with good concordance between predicted and experimental data (<i>R</i>² = 0.9980–0.9884). The optimal conditions for phenolic extraction and antioxidant activity were achieved using 61.20% ethanol, 15.82 min, and a stirring speed of level 3. Under these conditions, the obtained contents for total phenolic compounds, ortho-diphenols, flavonoids, and antioxidant activity were 60.28 g GAE/kg, 39.82 g GAE/kg, 20.95 g CE/kg, and 78.02%, respectively. Moreover, the predicted optimal conditions were experimentally validated. These results indicate the great potential of OP as a source of bioactive compounds, with potential uses in several industrial applications.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2198 - 2207"},"PeriodicalIF":3.0,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998527","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":"Sulfadiazine Detection in Milk Using F−-modified Ag-TpBD-COF as SERS Substrate","authors":"Yunpeng Shang,&nbsp;Anqi Hu,&nbsp;Chaoqun Ma,&nbsp;Jiao Gu,&nbsp;Yamin Wu,&nbsp;Chun Zhu,&nbsp;Lei Li,&nbsp;Hui Gao,&nbsp;Taiqun Yang,&nbsp;Guoqing Chen","doi":"10.1007/s12161-025-02860-5","DOIUrl":"10.1007/s12161-025-02860-5","url":null,"abstract":"<div><p>Sulfadiazine, an antibiotic belonging to the sulfonamide class, is commonly utilized in aquaculture and animal farming because of its affordability. However, the misuse of this antibiotic can lead to harmful health effects in humans, necessitating effective methods for detecting its residues in food products. Despite advancements in residue detection, challenges remain, particularly in dealing with interference from complex food matrices like milk. In this research, we synthesized F-modified Ag-TpBD-COF materials to serve as substrates for surface-enhanced Raman spectroscopy (SERS), aiming to detect sulfadiazine residues in milk. The Covalent organic frameworks (COF) materials, serving as ligands, effectively minimized interference, enhancing the method’s accuracy. The method demonstrated excellent sensitivity with a linear detection range of 1–50 μg/L and a limit of detection (LOD) was 0.69 μg/L. These findings highlight the potential of the novel Ag-TpBD-COF SERS substrate for high-sensitivity and reliable food safety monitoring.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2165 - 2174"},"PeriodicalIF":3.0,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998582","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":"Fourier-Transform Infrared Spectroscopy and Chemometric Models for Acrylamide Detection in Cereal-Based Baby Foods: A Machine Learning Approach","authors":"Fatemeh Etemadi,&nbsp;Abbas Khoshhal,&nbsp;Elahesadat Hosseini","doi":"10.1007/s12161-025-02854-3","DOIUrl":"10.1007/s12161-025-02854-3","url":null,"abstract":"<div><p>Monitoring baby cereal foods is vital, as acrylamide levels can pose a food safety risk during infants’ rapid growth phase. In this study, Fourier-transform infrared (FTIR) spectroscopy, covering the spectral range of 650–4000 cm⁻¹, combined with multivariate methods such as interval partial least squares (<i>i</i>PLS), principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA), was employed to classify and detect acrylamide contamination in the samples at different concentrations (0, 10, and 50 ppm). The models were evaluated using key metrics such as sensitivity, specificity, and classification efficiency. The <i>i</i>PLS regression model, using Savitzky-Golay (SG) filter preprocessing, demonstrated superior performance over the full-spectrum partial least squares regression (PLSR). The root mean square error of cross-validation (RMSECV) for biscuits was 0.106 using the <i>i</i>PLS model and 0.162 for the full-spectrum model, while for Cerelac samples, the values were 0.061 and 0.097, respectively. PCA showed distinct clustering of samples according to acrylamide concentrations. In the PLS-DA model, pure samples showed 100% classification efficiency, while spiked samples (biscuits and Cerelacs) achieved average sensitivity, specificity, and efficiency rates of 95.6%, 100%, and 97.2% and 100%, 93.3%, and 96.5%, respectively. This study shows that FTIR spectroscopy with chemometric models is a reliable, cost-effective, and rapid method for detecting acrylamide in the cereal foods.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 9","pages":"2149 - 2163"},"PeriodicalIF":3.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144843197","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":"Total Migration Analysis and Kinetic Calculations in Polystyrene Foam Plates","authors":"Büşra Uyanık,&nbsp;Nizam Mustafa Nizamlıoğlu","doi":"10.1007/s12161-025-02858-z","DOIUrl":"10.1007/s12161-025-02858-z","url":null,"abstract":"<div><p>The polystyrene white and orange foam plates in contact with disposable oily foods were subjected to total migration analysis with 95% ethyl alcohol solution, which replaces food simulant, and their quality characteristics were examined before and after migration. Total migration analysis was carried out at different temperatures (5 °C, 20 °C, 40 °C, and 60 °C) and durations (30, 120, 240, and 360 min), evaluating total migration, density, and texture properties both before and after migration. The highest total migration values in white and orange plate samples are at 360 min and 60 °C. While the density of white and orange plate samples subjected to the total migration process was 35.31 kg/m³ and 31.78 kg/m³, respectively, before migration, it was 20.48 kg/m³ and 17.96 kg/m³ after migration, respectively. In both plate samples, it was determined that there was a significant decrease in flexural strength and elastic modulus compared to pre-migration and a significant increase in bending dimension change. According to the scanning electron microscope images, it was observed that there were ruptures and inward collapses on the surfaces of the plate samples due to the increase in temperature and time. Significant changes were observed in the spectra of the samples subjected to the total migration process, and principal component analysis revealed that the samples treated at 60 °C were distinctly separated from those at lower temperatures. According to the kinetic modeling results, it was determined that the white plates were more sensitive to the total migration than the orange plate samples and that migration would occur with less energy.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 9","pages":"2135 - 2148"},"PeriodicalIF":3.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144843288","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 Gold Nanoparticle Incorporated Bimetallic Metal Organic Framework Electrode for Direct, Sensitive and Selective Detection of Ochratoxin A from Food Samples","authors":"Megala Ulaganambi,&nbsp;Kishore K. R. Tetala","doi":"10.1007/s12161-025-02850-7","DOIUrl":"10.1007/s12161-025-02850-7","url":null,"abstract":"<div><p>Ochratoxin A (OTA) is a type of mycotoxin produced by fungi as its secondary metabolite. This mycotoxin contaminates the food by its presence and is a significant global threat to animal and human health, necessitating rapid, sensitive and selective detection methods. This study introduces an electrochemical sensor using gold nanoparticle (AuNP) incorporated bimetallic metal organic framework (MOF; Fe₂Zn-MIL88B) nanocomposite to selectively detect OTA in the presence of other competing mycotoxins and food samples. UV–VIS spectrophotometer and HR-TEM analysis have confirmed the successful incorporation of AuNPs within the Fe₂Zn-MIL88B structure. The presence of AuNPs within the MOF structure (AuNP-Fe₂Zn-MIL88B/MWCNT@GCE) has demonstrated a two-fold enhancement in the electrochemical oxidative response of OTA. The ideal AuNP and Fe₂Zn-MIL88B MOF ratio to catalyze OTA was identified as 4 : 1 (v : v). Under optimized detection conditions, the bimetallic MOF electrode had a two-fold OTA catalytic property as compared to the individual metal-ions (Fe or Zn) MOF electrodes (Fe-MIL88B/MWCNT/GCE and Zn-MIL88B/MWCNT/GCE). Our sensor has exhibited remarkable selectivity to OTA in the presence of two other co-existing mycotoxins (patulin and aflatoxin B1), a limit of detection (LOD) of 4.63 ng/mL, excellent reproducibility (RSD = 2.29%) and stable up to 4 months. AuNP-Fe₂Zn-MIL88B/MWCNT@GCE has efficiently detected OTA between 4 - 35 °C and in OTA spiked food samples (red chili, coffee beans, corn, wheat, rice and almonds) with a satisfactory recovery rate of 85 – 112 %. Hence, the developed sensor AuNP-Fe₂Zn-MIL88B/MWCNT@GCE offers a simple solution for efficient OTA detection that holds significant potential to ensure food safety and mitigate the associated health risks.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 9","pages":"2120 - 2134"},"PeriodicalIF":3.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144843287","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}