Resumen:
|
[EN] The protection of the consumer against foodborne illnesses and fraudulent practices requires methods capable of detecting critical components. Classical instrumental and DNA-based technologies have assay time, ...[+]
[EN] The protection of the consumer against foodborne illnesses and fraudulent practices requires methods capable of detecting critical components. Classical instrumental and DNA-based technologies have assay time, portability, and cost limitations. Thus, food control needs alternative methodologies for massive and cost-effective screening. Herein, we report an instrument-free method based on detecting genes that encode proteins related to food allergies and ingredients associated with illegal practices. Tailed recombinase polymerase amplification (tailed-RPA) provided the selective isothermal amplification of target regions. A reproducible and fast optical detection was developed based on the salt-induced aggregation of 15 nm gold nanoparticles (AuNPs). The target presence was directly observed (naked-eye detection) and quantified using a smartphone and RGB image decomposition. The advantages arise from the effective formation of a hybrid complex between non-functionalized nanoparticles and amplification products with a single-strand tail, featuring short incubation time, simplicity, and low sample and reagent volumes. As proof of concept, two targets were determined: trnL gene and ITS region. The first sequence is located in the chloroplast genome of cereals and is valuable to control the adulteration of meat products. The second is a fragment common to the three main gluten-containing cereals, applicable to the indirect detection of this allergen. The novelty also is the integration of a low-cost assay platform and a straightforward interpretation system to foster its implementation in the industry. The RPA-AuNP assay offered a good sensitivity (genomic DNA 0.8 ng), selectivity (absence of unspecific response), reproducibility (standard deviation 2¿11%), and accuracy in marketed food products (100%). Therefore, a competitive biosensing system enables better control according to food industry/consumers demands from Farm to Fork strategy.
[-]
|