Visual flow-through column biomimetic immunoassay using molecularly imprinted polymer as artificial antibody for rapid detection of clenbuterol in water sample

Application of molecularly imprinted polymers in the anti-doping field: sample purification and compound analysis

The problem posed by anti-doping requirements is one of the great analytical challenges; multiple compound detection at low ng ml-1 levels from complex samples, with requirements for exceptional confidence in results. This review surveys the design, synthesis and application of molecularly imprinted polymers (MIPs) in this field, focusing on the templating of androgenous anabolic steroids (AASs), as the most commonly abused substances, but also other WADA prohibited substances. Commentary on the application of these materials in detection, clean-up and sensing is offered, alongside views on the future of imprinting in this field.

Reliable performance of aggregation-induced emission nanoparticle-based lateral flow assay for norfloxacin detection in nine types of animal-derived food

The wide application of lateral flow assay (LFA) was limited by its low sensitivity and poor matric tolerance. Aggregation induced emission (AIE) materials show superior luminescence and good stability under close packing state, which may accelerate the development of LFA. However, the detection performance of the AIE-based LFA in different real samples was unclear. In this work, an AIE-LFA was established for norfloxacin (NOR) detection in nine types of animal-derived food. Results indicated that AIE-LFA had the average recovery range of 75.6%-95.1%, 78.6%-94.6%, 71.4%-112.7%, 81.7%-121.8%, 72.7%-93.5%, 79.8%-108.5%, 79.2%-109.4%, 76.3%-103.6%, and 80.6%-108.3% in pork, pig liver, fish, lamb, beef, milk, chicken, egg, and honey, respectively. The detection results of AIE-LFA were compatible with HPLC-MS/MS in detecting NOR in 135 real samples from nine types of animal-derived food. The developed AIE-LFA was sensitive and reliable for NOR detection in those real samples.

Using molecular descriptors for assisted screening of heterologous competitive antigens to improve the sensitivity of ELISA for detection of enrofloxacin in raw milk

The use of the heterologous competitive strategy has become a vital method to improve the sensitivity of ELISA. In this work, we prepared an anti-enrofloxacin (ENR) mAb with ENR-bovine serum albumin (BSA) as immunogen. The molecular descriptors of quinolones were then used to screen heterologous coating antigens for the detection of ENR based on an ensemble learning method to improve the sensitivity of the ELISA. Results indicated that 6 of the 7 selected heterologous competitive antigens could enhance the sensitivity of ELISA. The ELISA sensitivity for the detection of ENR with sarafloxacin-BSA as heterologous coating antigen was improved 10-fold (in PBS) and 6-fold (in milk) compared with that with ENR-BSA as homologous antigen. The strategy can effectively screen suitable heterologous competitive antigens to improve the sensitivity of ELISA, followed by preparation of mAb with no additional modification to the corresponding immunogen.