A simple and rapid method for determination of carbofuran was developed using the fluorescence polarisation immunoassay (FPIA). Three tracers with different lengths of bridge (0-, 2- and 6-carbon bridge) between the hapten molecule 4-[[(2,3-dihydro-2,2-dimethyl-7-benzofuranyloxy)carbonyl]-amino]-butanoic acid (BFNB) and 5-aminofluorescein (AF), fluoresceinthiocarbamyl ethylenediamine (EDF), fluoresceinthiocarbamyl hexylenediamine (HDF), were synthesised and their binding response with anti-carbofuran-specific antibody were evaluated. The physicochemical parameters were optimised for the FPIA. The AF-labelled BFNB conjugate (BFNB-AF) was found to be the optimal tracer for FPIA of carbofuran. The detection limit of carbofuran, IC ₅₀ value and the working range were 2.3, 48.8 and 7.4−202.2 µg/L, respectively; and the reaction time was only 10 min. The average recovery from spiked water and vegetable samples was 86.9−95.4% and the mean coefficient of variation was 6.2% for inter-assay and 8.7% for intra-assay, which showed good reproducibility for FPIA. Thus, the developed FPIA method exhibited the potential for the rapid and accurate determination of carbofuran in agricultural and environmental samples.

Lateral flow immunoassays (LFIAs) are advantageous over conventional detection methods in terms of their simplicity and rapidity. These assays have been reported using various types of labels but colloidal gold nanoparticles are still the preferred choice as a label because of their easy synthesis, visual detection and stability. Bacterial contamination of food and drinking water is a major threat and hindrance towards ensuring food and water safety. Enterobacteriaceae family members are mainly transmitted by the consumption of contaminated water and food and implicated in various food or water borne infections. The LFIAs have been popularly used for detection of bacterial cells in different matrices. Therefore, this review intends to provide an analysis of the gold nanoparticle based lateral flow assays developed for detecting enterobacteriaceae family members in food and water samples. The review includes detailed data and discusses the factors that influence the performance of LFIAs and their shortcomings.