Screening Method for the Visual Discrimination of Olive Oil from Other Vegetable Oils by a Multispecies DNA Sensor.

Olive oil is a prominent agricultural product which, in addition to its nutritional value and unique organoleptic characteristics, offers a variety of health benefits protecting against cardiovascular disease, cancer, and neurodegenerative diseases. The assessment of olive oil authenticity is an extremely important and challenging process aimed at protecting consumers and producers. The most frequent adulteration involves blending with less expensive and readily available vegetable/seed oils.

Multifold improvement in allergen detection capability of dipstick-type immunosensors via macromolecular crowding.

Dipstick-type lateral flow immunosensors are used widely for on-site detection of food allergens. The weakness of the immunosensors of this type, however, is their low sensitivity. Contrary to current methods, that focus on improving detection capability through the introduction of novel labels or multistep protocols, this work exploits macromolecular crowding to modify and regulate the microenvironment of the immunoassay, thus promoting the interactions that are responsible for allergen recognition and signal generation.

Macromolecular crowding agents enhance the sensitivity of lateral flow immunoassays.

Lateral flow immunoassays (LFIA) have a plethora of applications in health, environmental and food sectors for low-cost, simple, and rapid point-of-need testing. Typically, the user only needs to add the sample without any other intervention from sample application to results. A compelling challenge, and a constant pursuit in LFIA is to improve the assay sensitivity without compromising the simplicity and practicality.