A Fast Method for the Simultaneous Analysis of 26 Beta-Agonists in Swine Muscle with a Multi-Functional Filter by Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry

Flexible nanoplasmonic sensor for multiplexed and rapid quantitative food safety analysis with a thousand-times sensitivity improvement

The accumulation of trace amounts of certain small molecules in food poses considerable human health challenges, including the potential for carcinogenesis and mutagenesis. Here, an ultrasensitive gold-platinum nanoflower-coupled metasurface plasmon resonance (MetaSPR) (APNMSPR) biosensor, based on a competitive immunoassay, was developed for the multiplexed and rapid quantitative analysis of trace small molecules in eggs, offering timely monitoring of food safety. This one-step biosensor can be integrated into either a newly designed detachable high-throughput MetaSPR chip-strip plate device or a standard 96-well plate for multiplexed small-molecule detection within a single egg. The limits of detection were 0.81, 1.12, and 1.74 ppt for florfenicol, fipronil, and enrofloxacin, respectively, demonstrating up to 1000-fold increased sensitivity and a 15-fold reduction in analysis time compared with those of traditional methods. The results obtained using the APNMSPR biosensor showed a strong correlation with those obtained using liquid chromatography-tandem mass spectrometry. The APNMSPR biosensor holds immense promise for the multiplexed, highly sensitive, and rapid quantitative analysis of small molecules for applications in food safety control, early diagnosis, and environmental monitoring.

Novel vinylene-based covalent organic framework as a promising adsorbent for the rapid extraction of beta-agonists in meat samples

Beta-agonists are potent bronchodilators approved for the treatment of asthma and tocolysis. However, they have been extensively misused as feed additives in the veterinary field to improve feed efficiency. The concern over their potential hazard to health has come to the fore again. In this study, a novel vinylene-based covalent organic framework (V-COF-1) with a two-dimensional structure was developed. The structure shows good tolerance in a variety of mediums, which can be attributed to the low polarity linkage. The high specific surface area and variable interaction with analytes accelerate the extraction time. Furthermore, the swelling resulting from the formation of hydrogen bonds by the protic solvent intercalation with the triazine group also improves the adsorption efficiency. Finally, due to its great reusability, it is economical material in sample preparation application. The V-COF-1 based μ-dSPE approach was coupled with UHPLC-MS/MS to develop a highly sensitive and selective method. The linearity of the method ranged from 0.05 to 20 ng g^-1 with a correlation coefficient (R²) higher than 0.9958, and the limits of detection and quantification fell in the ranges of 0.01-0.10 ng g^-1 and 0.04-0.32 ng g^-1. The proposed method has been successfully applied to determine beta-agonists in meat samples, and the results indicated good recovery of 82.2-116%. The intra-day and inter-day precision were less than 6.61%, indicating the potential for sustainable application in food analysis.

Rapid and High-Throughput Determination of Sixteen β-agonists in Livestock Meat Using One-Step Solid-Phase Extraction Coupled with UHPLC-MS/MS

β-agonists are illegally added to animal feed because they can greatly increase carcasses' leanness, which impairs the safety of animal-derived foods and indirectly endangers human health. This study aimed to develop an ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method for determining sixteen β-agonists in livestock meat. The homogenized samples were subjected to enzymatic hydrolysis using β-glucuronidase/sulfatase at 40 °C for 2 h, extracted with acetonitrile containing 1% acetic acid (v/v), and purified by the one-step Qvet-AG extraction column. The residue was redissolved by 0.1% aqueous formic acid/methanol (9:1, v/v) after blow-drying by nitrogen, and then determined by UHPLC-MS/MS. The results demonstrated that the well linearity was in the range of 0.1-50 μg/L with the correlation coefficient (R²) ≥0.9928, and the limits of detection (LOD) and quantification (LOQ) were 0.01-0.11 μg/kg and 0.04-0.38 μg/kg, respectively. With intraday and interday relative standard deviations (RSDs) being less than 10%, the average recoveries of pork, beef, and lamb at various spiked levels ranged from 62.62-115.93%, 61.35-106.34%, and 62.00-111.83%, respectively. In conclusion, the established method is simple, efficient, sensitive, and suitable for the simultaneous detection of several β-agonist residues in livestock meat.

Biochar-supported Cu nanocluster as an electrochemical ultrasensitive interface for ractopamine sensing

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Carbon confined Cu nanoclusters (CuNCs@CNFs) were fabricated for the enhanced sensing performance of ractopamine (RAC).

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The CuNCs@CNFs expressed ultrasensitivity and high selectivity in the electrochemical detection of RAC.

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A wide linear range and low LOD of RAC was obtained using CuNCs@CNFs based RAC sensor.

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The established RAC sensor was successfully used in sensitive detection of RAC in meat samples.

Electrochemical sensors actually involve an electrocatalytic process involving an efficient and selective energy conversion that is related to the morphology and size of the interface of the modified materials. Ultrasmall nanoclusters or single atoms generate a greater catalytic ability than normal nanomaterials. In this study biochar-supported Cu nanoclusters (CuNCs@CNFs) were fabricated via a carbon confinement synthesis method toward ultrasensitive electrochemical sensing of ractopamine (RAC). RAC is a β-adrenergic receptor agonist that is illegally used as a feed additive to significantly improve muscle accretion, resulting in RAC accumulation in meat-based food products. The unique structure of CuNCs@CNFs and the interconnectivity between the CuNCs and the CNFs enable the nanocomposite to significantly enhance conductivity and electrocatalytic activity. Using the CuNCs@CNFs-based sensor, RAC was determined with a high sensitivity of 1641 μA μM⁻¹ cm⁻². The feasibility of detecting RAC in spiked meat samples was also carried out with satisfactory recoveries ranging from 91.39 % to 94.58 %.