Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2026.147976
Sinem Tunçer Çağlayan , İlknur Üstündağ , Mustafa Oguzhan Caglayan
A highly sensitive SPRe-TIRE (Surface Plasmon Resonance-enhanced Total Internal Reflection Ellipsometry) aptasensor was developed for label-free detection of deoxynivalenol using the DN-2 aptamer as the specific recognition element. A mercaptophenyl monolayer was electrochemically grafted onto an SF-10/Au substrate via diazonium reduction, and characterized by ellipsometry and X-ray photoelectron spectroscopy. Gold nanoparticles were then self-assembled to enhance plasmonic coupling, followed by thiol-modified DN-2 aptamer immobilization. The aptasensor exhibited a wide semi-log linear range from 0.01 to 1000 ng/mL with a detection limit of 0.005 ng/mL. Selectivity tests against zearalenone, patulin, aflatoxin B1, and ochratoxin A confirmed high specificity, while recoveries from spiked wheat and corn flour samples (95.6–104.6%) correlated well with ELISA results. Compared with conventional immunoassays requiring 90–120 min, the proposed system achieved complete analysis within approximately 30 min. The developed SPRe-TIRE aptasensor provides a rapid, reliable, and ultrasensitive platform for real-time mycotoxin monitoring in food safety applications.
{"title":"Ultra-sensitive deoxynivalenol detection via SPR-enhanced ellipsometry on an electrochemically deposited nanofilm","authors":"Sinem Tunçer Çağlayan , İlknur Üstündağ , Mustafa Oguzhan Caglayan","doi":"10.1016/j.foodchem.2026.147976","DOIUrl":"10.1016/j.foodchem.2026.147976","url":null,"abstract":"<div><div>A highly sensitive SPRe-TIRE (Surface Plasmon Resonance-enhanced Total Internal Reflection Ellipsometry) aptasensor was developed for label-free detection of deoxynivalenol using the DN-2 aptamer as the specific recognition element. A mercaptophenyl monolayer was electrochemically grafted onto an SF-10/Au substrate via diazonium reduction, and characterized by ellipsometry and X-ray photoelectron spectroscopy. Gold nanoparticles were then self-assembled to enhance plasmonic coupling, followed by thiol-modified DN-2 aptamer immobilization. The aptasensor exhibited a wide semi-log linear range from 0.01 to 1000 ng/mL with a detection limit of 0.005 ng/mL. Selectivity tests against zearalenone, patulin, aflatoxin B<sub>1</sub>, and ochratoxin A confirmed high specificity, while recoveries from spiked wheat and corn flour samples (95.6–104.6%) correlated well with ELISA results. Compared with conventional immunoassays requiring 90–120 min, the proposed system achieved complete analysis within approximately 30 min. The developed SPRe-TIRE aptasensor provides a rapid, reliable, and ultrasensitive platform for real-time mycotoxin monitoring in food safety applications.</div></div>","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"504 ","pages":"Article 147976"},"PeriodicalIF":9.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2026.147971
Yi He , Jiangying Heng , Xian Zhang , Zhihua Zhang , Hongshuai Sun , Xuan Ma , Yu Zhang , Feng Wang
This study developed a composite microgel system utilizing modified whey protein isolate (mWPI) and chitosan quaternary ammonium salt (CQAS) for encapsulating docosahexaenoic acid and eicosapentaenoic acid-containing phospholipids (PL-DHA/EPA). Single-component systems exhibited limited encapsulation efficiencies of 15.50% (mWPI-PL) and 30.92% (CQAS-PL), attributed to high-pressure homogenization-induced protein denaturation and insufficient electrostatic interactions, respectively. The composite mWPI-CQAS-PL system achieved 88.75% encapsulation efficiency through synergistic electrostatic charge neutralization and interpenetrating polymer network formation, with positive zeta potential (+41.5 mV) ensuring colloidal stability and complete absence of phase separation over thirty days. Microstructural characterization revealed bi-layered particle architecture (approximately 10 μm) featuring CQAS-rich outer shells and mWPI cores with uniform phospholipid distribution. Fluorescence spectroscopy evidenced protein-phospholipid interactions through excimer formation (480 nm) and microenvironmental polarity changes (430 nm), while molecular docking validated hydrogen bonding interactions. This mechanistic framework establishes design principles for advanced phospholipid delivery systems, significantly advancing marine lipid processing through innovative encapsulation strategies that preserve bioactivity while enhancing delivery performance.
{"title":"Insights into the interaction of DHA/EPA-containing phospholipids with modified whey protein isolate (mWPI) and chitosan quaternary ammonium salt (CQAS) to form microgel","authors":"Yi He , Jiangying Heng , Xian Zhang , Zhihua Zhang , Hongshuai Sun , Xuan Ma , Yu Zhang , Feng Wang","doi":"10.1016/j.foodchem.2026.147971","DOIUrl":"10.1016/j.foodchem.2026.147971","url":null,"abstract":"<div><div>This study developed a composite microgel system utilizing modified whey protein isolate (mWPI) and chitosan quaternary ammonium salt (CQAS) for encapsulating docosahexaenoic acid and eicosapentaenoic acid-containing phospholipids (PL-DHA/EPA). Single-component systems exhibited limited encapsulation efficiencies of 15.50% (mWPI-PL) and 30.92% (CQAS-PL), attributed to high-pressure homogenization-induced protein denaturation and insufficient electrostatic interactions, respectively. The composite mWPI-CQAS-PL system achieved 88.75% encapsulation efficiency through synergistic electrostatic charge neutralization and interpenetrating polymer network formation, with positive zeta potential (+41.5 mV) ensuring colloidal stability and complete absence of phase separation over thirty days. Microstructural characterization revealed bi-layered particle architecture (approximately 10 μm) featuring CQAS-rich outer shells and mWPI cores with uniform phospholipid distribution. Fluorescence spectroscopy evidenced protein-phospholipid interactions through excimer formation (480 nm) and microenvironmental polarity changes (430 nm), while molecular docking validated hydrogen bonding interactions. This mechanistic framework establishes design principles for advanced phospholipid delivery systems, significantly advancing marine lipid processing through innovative encapsulation strategies that preserve bioactivity while enhancing delivery performance.</div></div>","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"505 ","pages":"Article 147971"},"PeriodicalIF":9.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study optimized the ultrasound-assisted extraction (UAE) of Eryngium caeruleum extract (EE) and its subsequent nanoencapsulation. Response surface methodology (RSM) determined optimal UAE conditions (10.14 min, 67.04 % ethanol, and 47.76 % amplitude), yielding a maximal total phenol content (TPC) (29.956 mg GAE/g DW) and 73.02 % antioxidant activity (2,2-diphenyl−1-picrylhydrazyl (DPPH) radical scavenging). The optimized extract was then nanoencapsulated using a 3:1 maltodextrin-gum Arabic blend via spray drying (SD) and freeze drying (FD). FD nanocapsules exhibited superior size, moisture, water activity, absorption, yield, encapsulation yield, color, TPC, and antioxidant activity. SD nanocapsules showed lower PDI, higher solubility, brightness, and densities. Fourier transform infrared spectroscopy (FTIR) confirmed successful encapsulation. SEM revealed spherical, uniform, and wrinkled SD nanocapsules, contrasting with angular, non-uniform FD ones. Phenolic release was faster intestinally than gastrically, with FD nanocapsules showing higher rates. This encapsulated extract holds significant potential for enhancing the shelf-life and nutritional value of various food products.
{"title":"Optimization of the extraction of phenolic compounds from Eryngium caeruleum using ultrasound and nanoencapsulation of the resulting extract via spray drying and freeze drying","authors":"Mahdis Gorzin, Marzieh Bolandi, Homa Baghaei, Ahmadreza Abedinia","doi":"10.1016/j.foodchem.2026.147972","DOIUrl":"https://doi.org/10.1016/j.foodchem.2026.147972","url":null,"abstract":"This study optimized the ultrasound-assisted extraction (UAE) of <ce:italic>Eryngium caeruleum</ce:italic> extract (EE) and its subsequent nanoencapsulation. Response surface methodology (RSM) determined optimal UAE conditions (10.14 min, 67.04 % ethanol, and 47.76 % amplitude), yielding a maximal total phenol content (TPC) (29.956 mg GAE/g DW) and 73.02 % antioxidant activity (2,2-diphenyl−1-picrylhydrazyl (DPPH) radical scavenging). The optimized extract was then nanoencapsulated using a 3:1 maltodextrin-gum Arabic blend via spray drying (SD) and freeze drying (FD). FD nanocapsules exhibited superior size, moisture, water activity, absorption, yield, encapsulation yield, color, TPC, and antioxidant activity. SD nanocapsules showed lower PDI, higher solubility, brightness, and densities. Fourier transform infrared spectroscopy (FTIR) confirmed successful encapsulation. SEM revealed spherical, uniform, and wrinkled SD nanocapsules, contrasting with angular, non-uniform FD ones. Phenolic release was faster intestinally than gastrically, with FD nanocapsules showing higher rates. This encapsulated extract holds significant potential for enhancing the shelf-life and nutritional value of various food products.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"54 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2026.147977
Paolo Scognamiglio, Vittorio Carlucci, Nadia Benedetto, Luigi Milella, Roberta Teta, Germana Esposito, Valeria Costantino
Trub, a brewing by-product, is a metabolite-rich material containing bioactive compounds that remain largely underexplored. Our multi-step strategy, which integrates exhaustive extraction, LC–HRMS/MS analyses of the extracts, feature-based molecular networking (FBMN) for rapid dereplication, unsupervised multivariate analysis, and bioactivity profiling, was applied to bioprospect this waste stream. We found that the ethanol extract contains ~700 clustered metabolites, 18 putatively annotated α- and β-acid analogue candidates expanding the known chemical diversity of hop bitter acids, and displays antioxidant potential. Overlaying bioactivity trends onto the molecular network, together with PCA-based exploratory patterns that identify the directions in which the data varies the most, suggested metabolite clusters potentially associated with the observed antioxidant activity. Overall, this study provides a multi-step strategy that enables a broader and faster assessment of chemical diversity, making it particularly effective for evaluating reuse-derived materials, supporting broader applications in the nutraceutical, pharmaceutical, and sustainable waste-upcycling sectors.
{"title":"A multi-step strategy to study trub, a beer by-product, using LC–MS/MS and feature-based molecular networking, evaluating its antioxidant potential","authors":"Paolo Scognamiglio, Vittorio Carlucci, Nadia Benedetto, Luigi Milella, Roberta Teta, Germana Esposito, Valeria Costantino","doi":"10.1016/j.foodchem.2026.147977","DOIUrl":"https://doi.org/10.1016/j.foodchem.2026.147977","url":null,"abstract":"Trub, a brewing by-product, is a metabolite-rich material containing bioactive compounds that remain largely underexplored. Our multi-step strategy, which integrates exhaustive extraction, LC–HRMS/MS analyses of the extracts, feature-based molecular networking (FBMN) for rapid dereplication, unsupervised multivariate analysis, and bioactivity profiling, was applied to bioprospect this waste stream. We found that the ethanol extract contains ~700 clustered metabolites, 18 putatively annotated α- and β-acid analogue candidates expanding the known chemical diversity of hop bitter acids, and displays antioxidant potential. Overlaying bioactivity trends onto the molecular network, together with PCA-based exploratory patterns that identify the directions in which the data varies the most, suggested metabolite clusters potentially associated with the observed antioxidant activity. Overall, this study provides a multi-step strategy that enables a broader and faster assessment of chemical diversity, making it particularly effective for evaluating reuse-derived materials, supporting broader applications in the nutraceutical, pharmaceutical, and sustainable waste-upcycling sectors.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"141 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2026.147965
Wassali Valadares de Sousa, Yara Martins da Silva, Milene de Figueiredo, Sérgio Yoshimitsu Motoike, Gilberto Barbosa Domont, Kacilda Naomi Kuki, Fábio César Sousa Nogueira
Proteomics of Acrocomia aculeata (macauba palm), a highly oleaginous tropical species, has been limited by its fibrous, carbohydrate- and lipid-rich tissues. This study reports the first proteomic characterization of its mesocarp and endosperm, establishing optimized workflows for mass spectrometry-based proteomics analysis. Across five tested protocols, 3223 proteins were identified in mesocarp and 942 in endosperm, including storage globulins, metabolite interconversion enzymes, translational proteins, and stress-response factors. The S-Trap (ST) method provided the best performance in the endosperm, with 239 unique proteins, enhanced recovery of Golgi and nuclear proteins, and the lowest variability (median CV ~25%). Conversely, the phenol-saturated protocol (P-In) excelled in the mesocarp, identifying up to 2248 proteins, particularly plastidial and vacuolar classes. These findings demonstrate that protocol selection influences proteomic depth, reproducibility, and functional coverage. By delivering a robust workflow for this non-model crop, our study enables new applications in food proteomics, oil metabolism, and sustainable ingredient development.
{"title":"Proteomic insights in Acrocomia aculeata: Optimizing sample preparation techniques for analysis of an oleaginous alternative crop","authors":"Wassali Valadares de Sousa, Yara Martins da Silva, Milene de Figueiredo, Sérgio Yoshimitsu Motoike, Gilberto Barbosa Domont, Kacilda Naomi Kuki, Fábio César Sousa Nogueira","doi":"10.1016/j.foodchem.2026.147965","DOIUrl":"https://doi.org/10.1016/j.foodchem.2026.147965","url":null,"abstract":"Proteomics of <ce:italic>Acrocomia aculeata</ce:italic> (<ce:italic>macauba</ce:italic> palm), a highly oleaginous tropical species, has been limited by its fibrous, carbohydrate- and lipid-rich tissues. This study reports the first proteomic characterization of its mesocarp and endosperm, establishing optimized workflows for mass spectrometry-based proteomics analysis. Across five tested protocols, 3223 proteins were identified in mesocarp and 942 in endosperm, including storage globulins, metabolite interconversion enzymes, translational proteins, and stress-response factors. The S-Trap (ST) method provided the best performance in the endosperm, with 239 unique proteins, enhanced recovery of Golgi and nuclear proteins, and the lowest variability (median CV ~25%). Conversely, the phenol-saturated protocol (P-In) excelled in the mesocarp, identifying up to 2248 proteins, particularly plastidial and vacuolar classes. These findings demonstrate that protocol selection influences proteomic depth, reproducibility, and functional coverage. By delivering a robust workflow for this non-model crop, our study enables new applications in food proteomics, oil metabolism, and sustainable ingredient development.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"38 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2026.147956
Lucas R. Sousa, Bárbara G.S. Guinati, Karoliny A. Oliveira, Cyro L.S. Chagas, Wendell K.T. Coltro
Milk adulteration remains a major concern for food safety and consumer protection, as it can compromise nutritional quality and pose health risks. This study presents a low-cost hybrid paper/plastic strip test for the simultaneous detection of seven common adulterants in cow milk: urea, hydrogen peroxide, starch, formaldehyde, antioxidants (e.g., ascorbic acid), sodium hypochlorite, and neutralizers/detergents, using a pH-based colorimetric sensing without sample pretreatment. The device was fabricated using a craft cutter and combined paper and plastic substrates, allowing multiplexed detection on a single strip. Analytical performance was optimized, yielding recovery rates between 86% and 112% for key adulterants. The test strips remained stable for up to 30 days under refrigeration (2–5 °C). In a case study of 50 milk samples, the device accurately identified adulterants with minimal interference, and results showed no significant deviation from reference methods (validated by Tukey's test). With a fabrication cost of only $0.25 per unit, the proposed platform provides a reliable, affordable, and scalable solution for routine milk quality monitoring, representing a promising tool for enhancing quality control in the dairy industry.
{"title":"A novel paper/plastic-based hybrid strip test for rapid and multiplexed colorimetric detection of milk adulterants","authors":"Lucas R. Sousa, Bárbara G.S. Guinati, Karoliny A. Oliveira, Cyro L.S. Chagas, Wendell K.T. Coltro","doi":"10.1016/j.foodchem.2026.147956","DOIUrl":"https://doi.org/10.1016/j.foodchem.2026.147956","url":null,"abstract":"Milk adulteration remains a major concern for food safety and consumer protection, as it can compromise nutritional quality and pose health risks. This study presents a low-cost hybrid paper/plastic strip test for the simultaneous detection of seven common adulterants in cow milk: urea, hydrogen peroxide, starch, formaldehyde, antioxidants (e.g., ascorbic acid), sodium hypochlorite, and neutralizers/detergents, using a pH-based colorimetric sensing without sample pretreatment. The device was fabricated using a craft cutter and combined paper and plastic substrates, allowing multiplexed detection on a single strip. Analytical performance was optimized, yielding recovery rates between 86% and 112% for key adulterants. The test strips remained stable for up to 30 days under refrigeration (2–5 °C). In a case study of 50 milk samples, the device accurately identified adulterants with minimal interference, and results showed no significant deviation from reference methods (validated by Tukey's test). With a fabrication cost of only $0.25 per unit, the proposed platform provides a reliable, affordable, and scalable solution for routine milk quality monitoring, representing a promising tool for enhancing quality control in the dairy industry.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"29 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2026.147975
Zhuangzhuang Shi , Huiling Shi , Ning An , Jinwang Li , Guoping Zhao , Xiaoxu Zhang , Xuefeng Yin
Monitoring pesticide exposure in human serum is essential for assessing internal exposure levels. In this study, we tested the hypothesis that carboxyl-functionalization of magnetic nanoparticles (Fe₃O₄@SiO₂-COOH NPs) significantly enhances the selective enrichment of polar pesticides via specific hydrogen-bonding and electrostatic interactions. To test this, we developed a magnetic dispersive solid-phase extraction method coupled with ultra-performance liquid chromatography–quadrupole time-of-flight mass spectrometry. The nanoparticles (14–15 nm, 28 emu/g) achieved 70.1–104.3% recoveries (RSDs 0.1–8.4%). The method exhibited excellent linearity (0.01–10 ng/mL) and low LODs (0.01–0.08 ng/mL), with matrix effects within −17.2% to +18.7%. Molecular modeling supported our hypothesis, identifying electrostatic attraction, van der Waals forces, hydrophobic interactions, and hydrogen bonding as primary binding mechanisms, and the binding energy was positively correlated with recoveries. Overall, this hypothesis-driven approach offers a potential biomonitoring method for the sensitive and accurate determination of polar pesticides in human serum, thereby facilitating more effective clinical and occupational exposure assessments.
{"title":"Magnetic extraction of highly polar pesticides: Method optimization and mechanism","authors":"Zhuangzhuang Shi , Huiling Shi , Ning An , Jinwang Li , Guoping Zhao , Xiaoxu Zhang , Xuefeng Yin","doi":"10.1016/j.foodchem.2026.147975","DOIUrl":"10.1016/j.foodchem.2026.147975","url":null,"abstract":"<div><div>Monitoring pesticide exposure in human serum is essential for assessing internal exposure levels. In this study, we tested the hypothesis that carboxyl-functionalization of magnetic nanoparticles (Fe₃O₄@SiO₂-COOH NPs) significantly enhances the selective enrichment of polar pesticides via specific hydrogen-bonding and electrostatic interactions. To test this, we developed a magnetic dispersive solid-phase extraction method coupled with ultra-performance liquid chromatography–quadrupole time-of-flight mass spectrometry. The nanoparticles (14–15 nm, 28 emu/g) achieved 70.1–104.3% recoveries (RSDs 0.1–8.4%). The method exhibited excellent linearity (0.01–10 ng/mL) and low LODs (0.01–0.08 ng/mL), with matrix effects within −17.2% to +18.7%. Molecular modeling supported our hypothesis, identifying electrostatic attraction, van der Waals forces, hydrophobic interactions, and hydrogen bonding as primary binding mechanisms, and the binding energy was positively correlated with recoveries. Overall, this hypothesis-driven approach offers a potential biomonitoring method for the sensitive and accurate determination of polar pesticides in human serum, thereby facilitating more effective clinical and occupational exposure assessments.</div></div>","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"505 ","pages":"Article 147975"},"PeriodicalIF":9.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2025.147836
Sun Xueliang, Tang Gaoqi, Liu Yanxia, Li Miaoyun, Gai Zhengyan, Zhao Gaiming, Sun Lingxia, Xiao Shudan, Deng Wei, Wang Qi
Slippery pork, prized for its unique tender texture and flavorful starch-based coating, faces quality deterioration during storage, particularly through starch retrogradation and microbial spoilage. While temperature sensitivity is established, how storage temperature affects product quality remains inadequately understood. This study reveals ice-temperature storage effectively preserves starch-coated meat products by delaying quality deterioration and starch retrogradation. Compared to 4 °C and 10 °C storage, ice-temperature storage reduced shear force and hardness, while decreasing retrogradation enthalpy ΔH by 43.7% (P < 0.05). Storage progression universally induced textural hardening alongside starch structural reorganization, evidenced by 37.2 J/g enthalpy accumulation and increased short-range molecular order. Ice-temperature storage enhanced safety by suppressing microbial growth, lipid oxidation, and protein degradation. Quality changes followed zero-order kinetics, strongly correlating with starch retrogradation. FT-IR and DSC confirmed temperature-dependent starch restructuring mechanisms. These findings demonstrate ice-temperature storage optimizes preservation in starch-coated meat systems through dual physicochemical stabilization and microbial control.
{"title":"Ice-temperature storage suppresses starch retrogradation and enhances shelf life of slippery pork: mechanistic insights and kinetic Modeling","authors":"Sun Xueliang, Tang Gaoqi, Liu Yanxia, Li Miaoyun, Gai Zhengyan, Zhao Gaiming, Sun Lingxia, Xiao Shudan, Deng Wei, Wang Qi","doi":"10.1016/j.foodchem.2025.147836","DOIUrl":"https://doi.org/10.1016/j.foodchem.2025.147836","url":null,"abstract":"Slippery pork, prized for its unique tender texture and flavorful starch-based coating, faces quality deterioration during storage, particularly through starch retrogradation and microbial spoilage. While temperature sensitivity is established, how storage temperature affects product quality remains inadequately understood. This study reveals ice-temperature storage effectively preserves starch-coated meat products by delaying quality deterioration and starch retrogradation. Compared to 4 °C and 10 °C storage, ice-temperature storage reduced shear force and hardness, while decreasing retrogradation enthalpy ΔH by 43.7% (<ce:italic>P</ce:italic> < 0.05). Storage progression universally induced textural hardening alongside starch structural reorganization, evidenced by 37.2 J/g enthalpy accumulation and increased short-range molecular order. Ice-temperature storage enhanced safety by suppressing microbial growth, lipid oxidation, and protein degradation. Quality changes followed zero-order kinetics, strongly correlating with starch retrogradation. FT-IR and DSC confirmed temperature-dependent starch restructuring mechanisms. These findings demonstrate ice-temperature storage optimizes preservation in starch-coated meat systems through dual physicochemical stabilization and microbial control.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"19 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.foodchem.2026.147963
Donglin Xiang, Xiao Wang, Chun Ji, Laping He, Yuangen Wu, Han Tao
This study presents a novel electrochemical strategy for detecting organophosphorus pesticides based on the synergistic catalytic of red kidney bean esterase (RKBE) and iron–cobalt dual-atom catalyst embedded in N-doped carbon carrier (FeCo–NC). RKBE was extracted from the widely cultivated British red kidney beans (Phaseolus vulgaris L.). FeCo–NC exhibited excellent electrocatalytic and peroxidase-like activity, catalyzing o-phenylenediamine oxidation to produce electroactive 2,3-diaminophenazine, which served as signal probe generating a sensitive cathodic current. Notably, RKBE product 1-naphthol inhibited FeCo–NC activity, while organophosphorus pesticides counteracted this inhibition by suppressing RKBE activity, restoring the electrochemical signal of 2,3-diaminophenazine. Leveraging this signal-regulation mechanism, a dichlorvos sensor was developed, with wide linear range (50–50,000 pM), low detection limit (14 pM), and excellent real-sample recovery (93.33%–107.08%), demonstrating practical application potential. This study provides an affordable and easy-to-operate approach for large-scale on-site monitoring of organophosphorus pesticide residues in foods.
{"title":"An electrochemical sensing strategy for organophosphorus pesticides based on dual-enzyme synergistic catalysis of plant esterase and diatomic FeCo–NC nanozyme","authors":"Donglin Xiang, Xiao Wang, Chun Ji, Laping He, Yuangen Wu, Han Tao","doi":"10.1016/j.foodchem.2026.147963","DOIUrl":"https://doi.org/10.1016/j.foodchem.2026.147963","url":null,"abstract":"This study presents a novel electrochemical strategy for detecting organophosphorus pesticides based on the synergistic catalytic of red kidney bean esterase (RKBE) and iron–cobalt dual-atom catalyst embedded in N-doped carbon carrier (FeCo–NC). RKBE was extracted from the widely cultivated British red kidney beans (<ce:italic>Phaseolus vulgaris L.)</ce:italic>. FeCo–NC exhibited excellent electrocatalytic and peroxidase-like activity, catalyzing <ce:italic>o</ce:italic>-phenylenediamine oxidation to produce electroactive 2,3-diaminophenazine, which served as signal probe generating a sensitive cathodic current. Notably, RKBE product 1-naphthol inhibited FeCo–NC activity, while organophosphorus pesticides counteracted this inhibition by suppressing RKBE activity, restoring the electrochemical signal of 2,3-diaminophenazine. Leveraging this signal-regulation mechanism, a dichlorvos sensor was developed, with wide linear range (50–50,000 pM), low detection limit (14 pM), and excellent real-sample recovery (93.33%–107.08%), demonstrating practical application potential. This study provides an affordable and easy-to-operate approach for large-scale on-site monitoring of organophosphorus pesticide residues in foods.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"4 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Convolutional neural networks (CNNs) have attracted extensive attention in food quality analysis, owing to their outstanding ability to process multi-dimensional food quality data. This review summarizes the research progress and potential development trends of 1D-CNNs, 2D-CNNs, and 3D-CNNs in food quality evaluation, with a specific focus on their applications in three key data types: spectral data, image data, and spectral-spatial fused information. Nevertheless, the application of CNNs in food quality analysis still faces several persistent challenges, such as issues related to data quality, high model complexity coupled with poor interpretability, substantial computational costs, and inadequate model generalization. This review can shed new insights for promoting the wider adoption of CNNs in the food industry, and further drive the development of more intelligent and sustainable food quality perception systems.
{"title":"Advances and challenges in multidimensional architectural applications of 1D/2D/3D convolutional neural networks in food quality assessment","authors":"Wenxuan Deng, Qian Qin, Jing Zhao, Yue Yu, Yue Huang, Hao Dong, Fuliang Cao, Zhanming Li","doi":"10.1016/j.foodchem.2026.147961","DOIUrl":"https://doi.org/10.1016/j.foodchem.2026.147961","url":null,"abstract":"Convolutional neural networks (CNNs) have attracted extensive attention in food quality analysis, owing to their outstanding ability to process multi-dimensional food quality data. This review summarizes the research progress and potential development trends of 1D-CNNs, 2D-CNNs, and 3D-CNNs in food quality evaluation, with a specific focus on their applications in three key data types: spectral data, image data, and spectral-spatial fused information. Nevertheless, the application of CNNs in food quality analysis still faces several persistent challenges, such as issues related to data quality, high model complexity coupled with poor interpretability, substantial computational costs, and inadequate model generalization. This review can shed new insights for promoting the wider adoption of CNNs in the food industry, and further drive the development of more intelligent and sustainable food quality perception systems.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"255 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145957263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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