Document Detail


Battery-free radio frequency identification (RFID) sensors for food quality and safety.
MedLine Citation:
PMID:  22881825     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Market demands for new sensors for food quality and safety stimulate the development of new sensing technologies that can provide an unobtrusive sensor form, battery-free operation, and minimal sensor cost. Intelligent labeling of food products to indicate and report their freshness and other conditions is one important possible application of such new sensors. This study applied passive (battery-free) radio frequency identification (RFID) sensors for the highly sensitive and selective detection of food freshness and bacterial growth. In these sensors, the electric field generated in the RFID sensor antenna extends from the plane of the RFID sensor and is affected by the ambient environment, providing the opportunity for sensing. This environment may be in the form of a food sample within the electric field of the sensing region or a sensing film deposited onto the sensor antenna. Examples of applications include monitoring of milk freshness, fish freshness, and bacterial growth in a solution. Unlike other food freshness monitoring approaches that require a thin film battery for operation of an RFID sensor and fabrication of custom-made sensors, the passive RFID sensing approach developed here combines the advantages of both battery-free and cost-effective sensor design and offers response selectivity that is impossible to achieve with other individual sensors.
Authors:
Radislav A Potyrailo; Nandini Nagraj; Zhexiong Tang; Frank J Mondello; Cheryl Surman; William Morris
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review     Date:  2012-08-22
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  60     ISSN:  1520-5118     ISO Abbreviation:  J. Agric. Food Chem.     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-09-05     Completed Date:  2013-01-07     Revised Date:  2013-09-10    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  United States    
Other Details:
Languages:  eng     Pagination:  8535-43     Citation Subset:  IM    
Affiliation:
GE Global Research , Niskayuna, New York 12309, United States. potyrailo@crd.ge.com
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MeSH Terms
Descriptor/Qualifier:
Animals
Costs and Cost Analysis
Fishes
Food Labeling / economics,  instrumentation*
Food Microbiology
Food Quality
Milk
Radio Frequency Identification Device*
Remote Sensing Technology
Grant Support
ID/Acronym/Agency:
1R01ES016569-01A1/ES/NIEHS NIH HHS; R01 ES016569/ES/NIEHS NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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