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Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].
- Source :
-
Food chemistry [Food Chem] 2024 Aug 15; Vol. 449, pp. 139204. Date of Electronic Publication: 2024 Apr 06. - Publication Year :
- 2024
-
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 <superscript>1</superscript> 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.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Subjects :
- Humans
Electrochemical Techniques instrumentation
Surface Plasmon Resonance instrumentation
Enzyme-Linked Immunosorbent Assay instrumentation
Celiac Disease diagnosis
Celiac Disease diet therapy
Glutens analysis
Biosensing Techniques instrumentation
Biosensing Techniques methods
Food Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1873-7072
- Volume :
- 449
- Database :
- MEDLINE
- Journal :
- Food chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 38613992
- Full Text :
- https://doi.org/10.1016/j.foodchem.2024.139204