Residues In Food Research Articles (Page 1)

Screening of a broad-spectrum aptamer and its application in the fabrication of an aptasensor for the detection of sulfonamides in animal-derived foods

Background: Indiscriminate use of drugs (antibiotics and anthelmintics) leads to increased chances of drug residues in animal foods like meat and chicken causing harmful effects on the health and well being of humans, animals in particular and to the overall environment in general. Methods: A study was conducted in 2021 to assess residues of antibiotics and anthelmintics in meat and chicken procured from the markets of Kashmir Valley. A total of 100 samples (50 samples of mutton and 50 samples of chicken) were randomly taken and analyzed for drug residues using the technique of Reverse Phase High Performance Liquid Chromatography. Result: The study revealed that 5 samples of chicken were positive for Oxytetracycline, 4% of the overall samples of meat including chicken detected to be positive for enrofloxacin, 7% of samples positive for ceftriaxone and 2% of the samples positive for Fenbendazole. Howeverall of the drug residues were found to be within the limits of International MRLs.

A novel ICT ratiometric fluorescent probe for intelligent visualization, and quantitative detection of residual daminozide in food.

A novel electrochemical immunosensor for virginiamycin M1 determination based on Zinc 2-methylimidazole MOF modified with silver nanoparticles.

An efficient electrochemical sensor based on ZIF-8 MOF-derived N-containing porous carbon supported Fe3O4 nanoparticles for sensitive detection of ciprofloxacin residues in foods

Nanosheets based electrochemical sensors for pesticides detections in food and environmental matrices.

Ratiometric fluorescence sensor based on MOF construction to detect enrofloxacin in animal-derived foods.

Wei-dong granules ameliorate functional dyspepsia via multi-targeted gut-brain axis modulation.

Dithianon is a non-systemic fungicide, applied in some agricultural products. Dithianon residues in food cause health problems for humans so it is recommended to be analyzed in fruits and vegetables. Four different extracting solvents were compared to get the optimum one. Quantitative analysis was done using a liquid chromatography triple quadruple mass spectrometer in different agricultural products. The in-house validation process was carried out based on SANTE guideline. The results demonstrated an average recovery rate between 85 and 113%, with relative standard deviations (RSDs) ≤ 8% for all tested food matrices in repeatability and RSDwR% = 16% in within-Laboratory reproducibility. Good linearity at r2 > 0.99 was obtained for 0.001–0.5 µg/ml dithianon calibration curves. Limit of quantifications (LOQs) for the method ranged between 0.01 and 0.05 µg/g with expanded measured uncertainty Uexp = ± 42%. Our method is simple, fast and reliable for the determination of dithianon residues in food so, it is recommended to be applied in the routine analysis. The method’s practicality was confirmed by analyzing fifty market samples from Egypt. No dithianon residues were detected, a finding consistent with its limited national registration and underscoring the method’s utility for ensuring compliance and food safety.

An ability to effectively detect glyphosate residues in food and the environment on-site remains a challenge. Herein, we developed a ratiometric fluorescent sensing platform based on blue fluorescent carbon dots (B-CDs) and red carbon dots (R-CDs) for rapid, visual, and quantitative detection of glyphosate. Although B-CDs, which were functionalized with abundant amino and hydroxyl groups, caused glyphosate-mediated aggregation-caused quenching (ACQ) via hydrogen bonding effect, R-CDs acted as a stable internal reference. The system could detect glyphosate in one step within 20 s and had a low detection limit of 2.87 μM. During the detection process, the fluorescent color changes from blue to red. On-site detection can be achieved by using the RGB analysis integrated in the smartphone. The sensor had high selectivity to glyphosate, despite the presence of metal ions, biomolecules, and various pesticides. It was successfully applied to detect actual water samples with recovery rates of 81.8%-96.6% (RSD ≤ 11.1%). With its rapid response, smartphone compatibility, and robustness in detecting complex matrices, the proposed sensor has promising potential for the monitoring of glyphosate in agricultural and environmental samples.

Norfloxacin (NFX) residues in food and environmental samples threaten human health, necessitating rapid on-site detection. A hierarchical MOF@MOF probe (Ag-MOF-74/NH₂-MIL-53(Al) for ratiometric NFX sensing has been fabricated, in which NH₂-MIL-53(Al) enhances NFX emission via hydrogen bonding and energy transfer, while Ag-MOF-74 provides a stable reference, enabling self-calibration. The probe can not only achieve ultrasensitive detection within 75s, but also exhibits a low limit of detection (LOD), high selectivity and good reproducibility. A smartphone-based platform was designed for on-site quantification within minutes. Validated in milk, soil, and water, it showed excellent accuracy (98-102% recovery) and precision (RSD < 2.86%). This MOF@MOF strategy offers a robust on-site screening tool and a versatile design paradigm for food safety and environmental monitoring.

Abstract Amphenicol residues in foods of animal origin can pose severe risks to human health; however, the determination of amphenicols is usually based on a single-mode immunoassays. So a multi-mode method capable of determining amphenicols is desirable. In this study, a tri-mode fluorescence detection method for amphenicols was developed on the basis of the ribosomal protein L16 (rpL16) of Thermus thermophilus. In particular, rpL16 was expressed, and its recognition mechanism for three amphenicols was investigated using a molecular docking technique. The protein was conjugated to red quantum dots to prepare a recognition element, which was combined with a blue carbon dot-labeled fluorescent tracer to develop a direct competitive microplate-based assay for the detection of amphenicols. As the analyte concentration increased, there was a color change from purple to red, the RGB value increased, and the fluorescence intensity from the tracer decreased. The results could be read with the naked eye, a smartphone, and a multimode microplate reader. The limits of detection for determination of the three amphenicols in eggs were 1.0 ng/g via visual detection, 10 pg/g via smartphone detection, and 0.05–0.17 pg/g via instrumental detection. This study reports the first tri-mode detection method for the determination of small molecule compounds based on quantum dots and carbon dots, providing a versatile tool for amphenicol detection in foods of animal origin under different usage scenarios.

Mebendazole (MBZ), a broad-spectrum benzimidazole anthelmintic widely applied in veterinary medicine and aquaculture, has raised increasing concerns about its potential residues in foods of animal origin. In this work, a high-affinity and specific monoclonal antibody (mAb) was generated using a newly designed hapten containing a carboxylic spacer at the N1 site of the benzimidazole ring. The obtained mAb exhibited an IC50 of 0.13 ng/mL with negligible cross-reactivity against related compounds. By combining this mAb with time-resolved fluorescent microspheres, a time-resolved fluorescence immunochromatographic assay (TRFIA) was developed for rapid and quantitative MBZ detection. The TRFIA achieved a detection limit of 1.02 μg/kg in fortified mutton and carp samples, with recovery rates ranging from 83.5% to 114.5% and coefficients of variation below 10.8%. Results correlated strongly with LC-MS/MS (R2 > 0.97). This TRFIA provides a highly sensitive, reliable, and cost-effective platform for on-site screening of MBZ residues in animal-derived foods.

Tobramycin (TOB) is an aminoglycoside antibiotic widely used to treat chronic lung infections and other bacterial diseases. However, TOB residues may persist in food products derived from animals treated with antibiotics, posing a risk of promoting antibiotic resistance in consumers. This highlights the urgent need for sensitive and selective methods to detect TOB residues in food. In this study, both an electrochemical sensor based on a conductive molecularly imprinted polymer (MIP) and a voltammetric electronic tongue (VET) system were developed for the detection of TOB. The MIP sensor was fabricated by electropolymerizing polyaniline onto a screen-printed gold electrode (Au-SPE), with the sensitivity further enhanced by the incorporation of silver nanoparticles. Surface morphology characterization of the modified electrodes was carried out using scanning electron microscopy (SEM), and Fourier transform infrared spectroscopy (FTIR). Cyclic voltammetry (CV), differential pulse voltammetry (DPV), and electrochemical impedance spectroscopy (EIS) were employed to characterize the sensors during both their fabrication and the TOB detection process. The sensors exhibited a detection limit of 1.9 pg mL−1 within a concentration range of 0.001–60 pg mL−1. The MIP sensors were selective for TOB, and were successfully applied to the detection of TOB residues in various food samples, including chicken, beef, turkey, chicken eggs, and milk. The VET system combined with chemometric methods particularly demonstrated its effectiveness in detecting TOB in milk samples. Principal component analysis (PCA) and discriminant function analysis (DFA) confirmed the ability of the VET system to differentiate between TOB-contaminated and uncontaminated milk samples, with PCA explaining 96.94% of the variance. This study presents a significant advance in the electrochemical detection of antibiotics in food, demonstrating the potential of MIP-based sensors, VET system for practical applications in food safety monitoring, and public health analysis.

Enhanced quenching efficiency of UiO-66-NH2 over UiO-66 to engineer high-performance fluorescence aptasensor for oxytetracycline monitoring.

Development and validation of HPLC-DAD method for the separation and simultaneous determination of five veterinary antibiotics residues in food and environmental samples

Smartphone-integrated ratiometric colorimetric aptasensor for visual detection of ampicillin residue in animal-derived food samples.

The use of electrochemical aptasensors for the detection of antibiotic residues in foods

Rapid scan rate cyclic voltammetry analysis of methyl parathion residues in food on a gold nanoparticles/polypyrrole/carboxylated carbon nanotubes/glassy carbon electrode.

Recent developments and workflows of non-targeted LC-HRMS screening in the detection of veterinary drug residues in foods