Literature DB >> 18585123

Position-independent chemical quantitation with passive 13.56-MHz radio frequency identification (RFID) sensors.

Radislav A Potyrailo1, Henri Mouquin, William G Morris.   

Abstract

Recently, we have demonstrated an attractive approach to adapt conventional radio frequency identification (RFID) tags for multianalyte chemical sensing. These RFID sensors could be very attractive as ubiquitous distributed remote sensor networks. However, critical to the wide acceptance of the demonstrated RFID sensors is the analyte-quantitation ability of these sensors in presence of possible repositioning errors between the RFID sensor and its pickup coil. In this study, we evaluate the capability for such position-independent analyte quantification using multivariate analysis tools. By measuring simultaneously several parameters of the complex impedance from such an RFID sensor and applying multivariate statistical analysis methods, we were able to compensate for the repositioning effects such as baseline signal offset and magnitude of sensor response to an analyte.

Mesh:

Year:  2007        PMID: 18585123     DOI: 10.1016/j.talanta.2007.06.023

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

Review 1.  Materials and transducers toward selective wireless gas sensing.

Authors:  Radislav A Potyrailo; Cheryl Surman; Nandini Nagraj; Andrew Burns
Journal:  Chem Rev       Date:  2011-09-07       Impact factor: 60.622

2.  Data capture of transdermal glucose monitoring through computerized appliance-based virtual remote sensing and alert systems.

Authors:  Robert Jameson; Daniel Lorence; Jennifer Lin
Journal:  J Med Syst       Date:  2011-05-03       Impact factor: 4.460

Review 3.  Battery-free radio frequency identification (RFID) sensors for food quality and safety.

Authors:  Radislav A Potyrailo; Nandini Nagraj; Zhexiong Tang; Frank J Mondello; Cheryl Surman; William Morris
Journal:  J Agric Food Chem       Date:  2012-08-22       Impact factor: 5.279

  3 in total

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