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Passive Wireless Porous Biopolymer Sensors for At-Home Monitoring of Oil and Fatty Acid Nutrition

Dietary oilsrich in omega-3, -6, and -9 fatty acidsexhibit critical impacts on health parameters such as cardiovascular function, bodily inflammation, and neurological development. There has emerged a need for low-cost, accessible method to assess dietary oil consumption and its health implication...

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Bibliographic Details
Published in:ACS applied bio materials 2024-08, Vol.7 (8), p.5452-5460
Main Authors: Dia, Kazi Khurshidi Haque, Escobar, Alberto Ranier, Qin, Huiting, Ye, Fan, Jimenez, Abel, Hasan, Md Abeed, Hajiaghajani, Amirhossein, Dautta, Manik, Li, Lei, Tseng, Peter
Format: Article
Language:English
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Summary:Dietary oilsrich in omega-3, -6, and -9 fatty acidsexhibit critical impacts on health parameters such as cardiovascular function, bodily inflammation, and neurological development. There has emerged a need for low-cost, accessible method to assess dietary oil consumption and its health implications. Existing methods typically require specialized, complex equipment and extensive sample preparation steps, rendering them unsuitable for home use. Addressing this gap, herein, we study passive wireless, biocompatible biosensors that can be used to monitor dietary oils directly from foods either prepared or cooked in oil. This design uses broad-coupled split ring resonators interceded with porous silk fibroin biopolymer (requiring only food-safe materials, such as aluminum foil and biopolymer). These porous biopolymer films absorb oils at rates proportional to their viscosity/fatty acid composition and whose response can be measured wirelessly without any microelectronic components touching food. The engineering and mechanism of such sensors are explored, alongside their ability to measure the oil presence and fatty acid content directly from foods. Its simplicity, portability, and inexpensiveness are ideal for emerging needs in precision nutritionsuch sensors may empower individuals to make informed dietary decisions based on direct-from-food measurements.
ISSN:2576-6422
2576-6422
DOI:10.1021/acsabm.4c00601