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

PAPER pubmed Talanta 2008 Engineering / measurement Effect: unclear Evidence: Insufficient

Read original paper → DOI: 10.1016/j.talanta.2007.06.023 PMID: 18585123 Evidence Lab

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.

AI evidence extraction

At a glance

Study type

Engineering / measurement

Effect direction

unclear

Population

—

Sample size

—

Exposure

RF RFID sensor · 13.56 MHz

Evidence strength

Insufficient

Confidence: 74% · Peer-reviewed: yes

Main findings

The study evaluated position-independent analyte quantification for passive 13.56-MHz RFID chemical sensors. Simultaneous measurement of multiple complex-impedance parameters combined with multivariate statistical analysis was able to compensate for repositioning effects such as baseline signal offset and changes in response magnitude.

Outcomes measured

Position-independent analyte quantification
Compensation for repositioning effects (baseline signal offset, magnitude of sensor response) using multivariate analysis of complex impedance parameters

View raw extracted JSON

{
    "study_type": "engineering",
    "exposure": {
        "band": "RF",
        "source": "RFID sensor",
        "frequency_mhz": 13.5600000000000004973799150320701301097869873046875,
        "sar_wkg": null,
        "duration": null
    },
    "population": null,
    "sample_size": null,
    "outcomes": [
        "Position-independent analyte quantification",
        "Compensation for repositioning effects (baseline signal offset, magnitude of sensor response) using multivariate analysis of complex impedance parameters"
    ],
    "main_findings": "The study evaluated position-independent analyte quantification for passive 13.56-MHz RFID chemical sensors. Simultaneous measurement of multiple complex-impedance parameters combined with multivariate statistical analysis was able to compensate for repositioning effects such as baseline signal offset and changes in response magnitude.",
    "effect_direction": "unclear",
    "limitations": [],
    "evidence_strength": "insufficient",
    "confidence": 0.7399999999999999911182158029987476766109466552734375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "RFID",
        "13.56 MHz",
        "chemical sensing",
        "analyte quantification",
        "complex impedance",
        "multivariate analysis",
        "repositioning error",
        "pickup coil"
    ],
    "suggested_hubs": []
}

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AI-extracted fields are generated from the abstract/metadata and may be incomplete or incorrect. This content is for informational purposes only and is not medical advice.

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