SCIENCE OF THE TOTAL ENVIRONMENT
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2023
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IF 9.8
Shuai Ding,Chen Lin,Qiuyun Xiao,Fa Feng,Junfeng Wang,Xing Zhang,Shengjing Yang,Lingling Li,Fei Li
The widespread detection of zearalenone (ZEN) in cereal crops and feeds poses a significant threat to both humans and animals. Consequently, the urgency for the international community to address this issue is evident in the demand for safe and effective measures to mitigate zearalenone contamination and explore detoxification methods. In this study, a dye-decolorizing peroxidase ( Po DyP4) from Pleurotus ostreatus is characterized for its impressive ZEN degradation effectiveness. Po DyP4 was demonstrated that the ability to almost completely degrade ZEN at pH 6.0 and 40 °C for 2 h, even at high concentrations of 1 mM. The promotion of enzymatic degradation of ZEN was most pronounced in the presence of Mg 2+ , while Cu 2+ and Fe 2+ exhibited a notable inhibitory effect. The degradation mechanism elucidated the detoxification of ZEN by Po DyP4 through hydroxylation and polymerization reactions. The resulting metabolic products displayed significantly reduced toxicity and minimal impact on the viability and apoptosis of mouse spermatocytes GC-2 cells, in comparison to the original ZEN. Hydrophobic contacts and hydrogen bonds were found to be crucial for ZEN- Po DyP4 stability via molecular docking. This finding suggests that Po DyP4 may have a promising application in the field of food and feed for zearalenone detoxification.
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高影响因子
FOOD CHEMISTRY
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2019
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IF 5.399
Lijun Luo,Shuai Ma,Libo Li,Xiaohong Liu,Jiayi Zhang,Xia Li,Dong Liu,Tianyan You
Accurate and early diagnosis of mycotoxin is particularly significant to the food and agricultural product safety. In the present work, a sensitive and effective monitoring method for zearalenone (ZEN) was exploited based on a novel self-enhanced electrochemiluminescence (ECL) aptasensor. The self-enhanced lumonophore was compounded by electrostatically combining amine-functionalized Ru(bpy) 3 2+ -doped silica nanoparticles (NH 2 [email protected] 2 NPs) and nitrogen doped graphene quantum dots (NGQDs) together. Since the emitter and co-reactant simultaneously existed in the same nanoparticle, shortened electron-transfer distance and decreased energy loss was obtained. Therefore, self-enhanced ECL aptasensor based on the novel complex expressed the widest linear range of 10 fg mL −1 –10 ng mL −1 and the lowest detection limit of 1 fg mL −1 for ZEN detection. More importantly, ZEN produced during the mildew process of corn flour was monitored by the developed aptasensor, which exhibited superior determination and potential application in real samples.
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高影响因子
FOOD CHEMISTRY
·
2019
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IF 5.399
Tao Wei,Pingping Ren,Linli Huang,Zicheng Ouyang,Ziying Wang,Xiangfeng Kong,Tiejun Li,Yulong Yin,Yongning Wu,Qinghua He
Mycotoxins are toxic metabolites produced by fungi or molds, which may cause serious harm to human health through polluted cereal foods. In order to measure the typical mycotoxin contaminations in wheat and corn, a surface plasmon resonance (SPR) method was established using SPR sensor chip that was fabricated based on self-assembled monolayer. The minimum detection limit of aflatoxin B1, ochratoxin A, zearalenone and deoxynivalenol were identified as 0.59 ng/mL, 1.27 ng/mL, 7.07 ng/mL and 3.26 ng/mL, respectively. The cross-reactivity for all four mycotoxins were demonstrated to be low. Moreover, the test data were compared with HPLC-MS/MS confirmatory analysis results and good agreement was found between them. In conclusion, the SPR method for simultaneously detecting four mycotoxins has been developed with high sensitivity, good linearity and specificity, which can meet the detection requirements of cereal foods.
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TALANTA
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2024
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IF 5.6
Yangyang Lu,Xuechi Yin,Mei Li,Wanlu Ma,Sining Du,Zixuan Wang,Nannan Qiu,Xubo Zhao
In the study, an eccentric heterogeneous core-shell nanomaterial Au@Cu 2-x Se was simply and rapidly synthesized. This novel nano-structure exhibits superior colorimetric intensity, enhanced antibody coupling efficiency, and strong broadband absorption across the visible to near-infrared spectrum, with a photothermal conversion efficiency of 59.40%. As proof of concept, we applied Au@Cu 2-x Se as a signal amplification marker in LFIA for the rapid detection of zearalenone (ZEN), enabling dual-mode quantitative detection via colorimetric and photothermal signals (CM/PT). The Au@Cu 2-x Se-LFIA demonstrated a cut-off value of 10 ng/mL in colorimetric mode and 5 ng/mL in photothermal mode, representing a two fold increase in sensitivity compared to traditional AuNPs-based LFIAs. The outstanding colorimetric signal and prominent photothermal signal make the proposed Au@Cu 2-x Se nanomaterial show better application prospects in CM/PT mode detection in LFIA, providing broad application prospects for the broad-spectrum detection of mycotoxins in food in the future.
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FOOD CHEMISTRY
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2024
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IF 8.5
Qingyue Li,Xiya Zhang,Mengtian Chen,Changwei Luo,Ran Yang,Tong Bu,Meng Dang,Xianqing Huang,Lianjun Song,Pingan Zhang,Liang Liu,Yexuan Mao
To integrate antifouling properties and good sensitivity on the sensing interface can improve the applicability of an electrochemical immunosensor. These functional regions can be integrated into a single functional peptide (functPP). The rational designed three domains in functPP were the anchoring, antifouling and gold nanoparticles (AuNPs) recognizing domains. Meanwhile, the ordered AuNPs inspired by C 15 H 23 CO-RRRRR can be recognized by AuNPs recognizing domains in functPP to enhance the intensity of detecting current. In the sensing system, the anchoring domain in functPP can be immobilized on the Au electrode by Au S interaction, while the antifouling domain undergoes strong hydration with water molecules to resist matrices, and the recognizing domains can directionally capture O-AuNPs to form a functPP-O-AuNPs complex as the core sensing element. Consequently, the complex bound to the monoclonal antibodies against zearalenone by electrostatic adsorption to develop a highly antifouling and sensitive biosensor with the ability to identify zearalenone in cereals.
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FOOD CHEMISTRY
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2024
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IF 8.5
Yongxia Yu,Keren Chen,Zaihui Du,Bing Fang,Jing Zhan,Longjiao Zhu,Wentao Xu
To address the food safety issues caused by toxins, we established a fluorescent copper nanocluster biosensor based on magnetic aptamer for the visual and quantitative detection of ZEN. Specifically, we utilized the docking-aided rational tailoring (DART) strategy to analyze intermolecular force and interaction sites between zearalenone (ZEN) and the aptamer, and optimize the long-chain aptamer step by step to enhance the binding affinity by 3.4 times. The magnetic bead-modified aptamer underwent conformational changes when competing with complementary sequences to bind with ZEN. Then, the released complementary sequences will be amplified in template-free mode with the presence of the terminal deoxynucleotidyl transferase (TdT), and generating T-rich sequences as the core sequences for the luminescence of copper nanoclusters. The luminescence could be visualized and quantitatively detected through ultraviolet irradiation. The proposed label-free aptasensor exhibited high sensitivity and specificity, with a low limit of detection (LOD) of 0.1 ng/mL.
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JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
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2024
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IF 5.7
Chaochao Chen,Liang Luo,Jianzhong Shen,Zhanhui Wang,Yantong Pan
The enzyme-linked immunosorbent assay (ELISA) stands as one of the most frequently employed rapid detection techniques for both chemical and biological contaminants. Horseradish peroxidase (HRP) and hydrogen peroxide (H2O2), serving as signal generators, play indispensable roles throughout the entire ELISA process. However, HRP and H2O2 exhibit high sensitivity to elevated temperatures, hindering the broader utilization and transportation of ELISA. Hereby, being inspired by the cascade catalysis of glucose by glucose oxidase (GOx) and HRP as well as the advantageous properties of metal–organic frameworks (MOFs), we developed a cascade catalysis-based competitive fluorescent ELISA (CCF-ELISA) for mycotoxin detection in maize using zearalenone (ZEN) as a model. The results revealed the remarkable protective effects of MOFs on enzymatic activities. Based on upon characteristics, the built CCF-ELISA enabled the detection of ZEN with a half-maximal inhibitory concentration of 0.54 ng/mL and allowed a detection range from 0.19 to 1.51 ng/mL. When applied to naturally contaminated maize samples, the outcomes obtained from the CCF-ELISA showed a high level of comparability with high-performance liquid chromatography–tandem mass spectrometry, demonstrating the promising potential of the developed CCF-ELISA in the rapid detection for food security.
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Food Chemistry-X
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2024
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IF 6.5
Qianwen Liu,Lingling Zhou,Siyu Xin,Qingli Yang,Wei Wu,Xiudan Hou
A poly (ionic liquid) enhanced poly(acrylamide-acrylic acid) (PIL-PAM/AA) hydrogel-based colorimetric sensor was designed to detect zearalenone (ZEN). Different Au x Pt y nanoparticles were synthesized via the on-pot method. Through the kinetic analysis and the theoretical calculation, Au 0.4 Pt 0.6 possessed the relatively low energy barriers to adsorb and decompose H 2 O 2 so that it exhibited relatively better catalytic activity (K m = 2.02 × 10 −3 , V max = 6.14 × 10 −7 ). AuPt nanoparticles were encapsulated into PIL-PAM/AA hydrogel via the interaction between aptamer and cDNA. In the presence of ZEN, the embedded AuPt nanoparticles were released to complete the catalytic reaction. Coupled with the smartphone application, the established method provided the linear range of 1–250 ng mL −1 , with a detection limit of 0.6979 ng mL −1 for ZEN. Meanwhile, it also possessed excellent selectivity and good anti-interference performance. In wheat and corn samples, spiked recoveries were ranging from 75% to 113.30%.
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JOURNAL OF FOOD COMPOSITION AND ANALYSIS
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2025
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IF 4.6
Chengchen Pang,Keyun Ren,Haitao Xu,Kunying Nie,Chunlei Yu,Daohong Zhang,Qingqing Yang
To enable on-site detection of ZEN toxin in agricultural samples, an POC LFIA detection method based on monoclonal antibody was established through an advanced MAF materials. AIEgens have garnered significant attention for their unique fluorescence properties at high concentrations, overcoming the ACQ limitation of traditional luminescent materials. MAF is a Zr⁴⁺-based AIE metal-organic framework that amplifies AIEgen fluorescence and enables crosslinker-free antibody assembly through its intrinsic affinity for antibodies. This preserves antibody activity while ensuring detection sensitivity through targeted Fab exposure. The MAF-LFIA exhibited good linearity with an ultralow limit of detection of 0.0021 ng/mL (approximately 0.42 ng/g in corn samples), a cut-off value of 5 ng/mL, and recoveries of 99.9-102.3% in cornmeal. These results indicated that this platform provides a robust strategy for real-time monitoring of food contaminants in complex matrices.
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FOOD CHEMISTRY
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2026
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IF 10.4
Haoxiang Liu,Zhenjiong Wang,Lihua Zhou,Weiwei Cheng,Peng Li,Di Wu,Linghan Meng,Yan Zhang,Xiaozhi Tang
A novel and eco-friendly ZEN phase transfer method was developed using CD-MOF. • Amphiphilic character of CD-MOF promotes transfer of ZEN from oil to aqueous phase. • CTAB micelles on Au NRs facilitated adsorption of hydrophobic ZEN to its hotspot. • Rapid SERS sensing of ZEN was achieved based on this novel pretreatment method. An eco-friendly phase-transfer method based on cyclodextrin-metal-organic framework (CD-MOF) was developed to extract zearalenone (ZEN) from edible oil into aqueous phase. Leveraging this green pretreatment approach, a rapid surface-enhanced Raman spectroscopy (SERS) sensing platform was established for ZEN detection. CD-MOF possesses an amphiphilic structure, whose hydrophobic cavities can encapsulate ZEN to form host-guest complexes. The gradual structural collapse of CD-MOF leads to the release of ZEN into the aqueous phase, achieving efficient oil-to-water transfer with an extraction efficiency of 80–90%. Following this extraction method, SERS detection was achieved using cetyltrimethylammonium bromide (CTAB)-capped gold nanorods (Au NRs). The CTAB bilayer on the Au NR surface facilitates the adsorption of hydrophobic ZEN toward the plasmonic hotspots, significantly enhancing the Raman signal. Benefiting from the synergistic effect of CD-MOF extraction and Au NRs-based SERS enhancement, rapid detection of ZEN in corn oil was achieved with performance comparable to that of conventional high-performance liquid chromatography (HPLC). Download: Download high-res image (110KB) Download: Download full-size image
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ANALYTICA CHIMICA ACTA
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2026
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IF 6.1
Shi Feng,Yijing Wang,Yanyan Shang,Meng Wu,Panhua Li,Xiangyang Li
Background Zearalenone (ZEN) is a potent endocrine disruptor that poses serious health risks through reproductive toxicity. Traditional detection methods, including high-performance liquid chromatography (HPLC), fall short in terms of speed, sensitivity, and portability for on-site food safety monitoring. This underscores the necessity of developing intelligent and field-deployable analytical strategies. Results We reported a machine learning-enhanced sensing platform based on a dual-modal Ti 3 C 2 MXene biosensor. The nanoprobe orchestrated fluorescence quenching and peroxidase-mimicking colorimetry in a single construct, converting ZEN concentration into two orthogonal optical readouts. The system achieved a detection limit of 0.35 ng mL -1 , improving to 0.27 ng mL -1 upon algorithmic fusion. Validation of complex food matrices was conducted using spiked recovery experiments, with recovery rates ranging from 98.90% to 106.91% and a relative standard deviation consistently below 4.84%. Furthermore, in naturally contaminated samples, the results generated by this system were virtually identical to those obtained by high-performance liquid chromatography (HPLC), while significantly reducing analysis time, offering flexible mode selection, and providing cross-validation between the two orthogonal readouts. Significance and Novelty By unifying dual-modal transduction with machine-learning-driven data integration, this platform delivered sensitivity and accuracy surpassing conventional approaches while retaining field-deployable simplicity. It provided a robust solution for ZEN detection in real-world food samples, addressing a critical gap in rapid, on-site mycotoxin monitoring and advancing intelligent biosensing paradigms.
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JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
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2026
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IF 6.7
Yufei Cao,Yiqiang Zhang,Boran Zhou,Yingxue Zhang,Xu Han,Xinyuan Luan,Yu Wang,Hongjing Zhao
Zearalenone (ZEN) is a mycotoxin that induces hepatic oxidative injury by promoting ROS accumulation and compromising antioxidant defenses. Transcriptomic profiling revealed xanthine oxidase (XOD) as a key mediator. Structure-based molecular docking identified polydatin (PD) from Polygonum cuspidatum as a potent XOD inhibitor with strong binding affinity. Biochemical assays confirmed PD’s XOD inhibition. In vitro and in vivo studies demonstrated that PD significantly attenuated ZEN-induced oxidative stress, reduced ROS generation, and improved pathological markers of liver injury, with optimal efficacy at low concentrations. Molecular dynamics simulations revealed PD forms a stable complex with XOD. Concurrently, PD activated the Nrf2/HO-1 pathway, enhancing SOD and GSH-Px expression while reducing lipid peroxidation. These findings demonstrate that PD mitigates ZEN hepatotoxicity through dual mechanisms: direct XOD inhibition and enhancement of endogenous antioxidant capacity, supporting its therapeutic potential.
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