AI Article Synopsis

  • People with celiac disease or gluten sensitivity react negatively to gluten found in wheat, barley, and rye, and the only treatment is a strict gluten-free diet.
  • There is growing concern over food fraud related to gluten-free claims, leading to a demand for reliable gluten detection methods, including sensors and other advanced techniques.
  • Recent advancements in gluten detection sensors (2019-2023) show improvements in material simplicity and the emergence of IoT-based solutions, although sensitivity and detection limits vary regardless of whether the sensor is aptamer or antibody-based.

Article Abstract

People with celiac disease or gluten sensitivity may experience an immune reaction to the protein called gluten, which is present in wheat, barley, and rye. A strict gluten-free diet is the sole cure for these ailments. There are chances of food fraud about the claim of being gluten-free food items. As a result, there is a rising need for trustworthy and precise ways to identify gluten. There are many methods to detect gluten in food samples viz., enzyme-linked immunosorbent assay Surface plasmon resonance (SPR), Electrochemical sensors, Fluorescence-based sensors, etc. The use of sensors is one of the most promising methods for gluten detection. For detecting gluten, a variety of sensors, including optical, electrochemical, and biosensors, have been developed with different limits of detection and sensitivity. The present review reports the recent advancements (2019-2023) in the development of sensors for gluten detection in food. We may conclude that sensitivity and limit of detection are not related to the type of sensor used (aptamer or antibody-based), however, there are advancements, with the year, on the simplicity of the material used like paper-based sensors and paradigm shift to reagent free sensors by the spectral analysis. Also, recent work shows the potential of IoT-based studies for gluten detection.

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Source
http://dx.doi.org/10.1016/j.foodchem.2024.139204DOI Listing

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