Enhanced Detection Resonance Frequency Shift of a Piezoelectric Microcantilever Sensor by a DC Bias Electric Field in Humidity Detection.

Sensors and actuators. B, Chemical · 2009 · Benefit · Insufficient evidence

← Research stream
BenefitInsufficient evidencePaper 3352

Applying a DC bias electric field to the PMN-PT layer during humidity detection enhanced the relative longitudinal flexural resonance frequency shift of the PMN-PT/tin PEMS. The maximum enhancement was reported as more than threefold at E = -6 kV/cm compared …

Study snapshot

PublicationSensors and actuators. B, Chemical · 2009
Study typeengineering
Reported directionBenefit
Evidence ratingInsufficient

Abstract

We have examined the relative longitudinal flexural resonance frequency shift of a PMN-PT/tin PEMS with a DC bias electric field, E, in humidity detection. We showed that the relative resonance frequency shift could be enhanced by applying an E to the PMN-PT layer during detection. A maximum enhancement of more than three times in resonance frequency shift was observed at E = -6 kV/cm as compared to the resonance frequency shift without a bias field. The maximal relative resonance frequency shift at E = -6 kV/cm was about 1000 times larger than could be accounted for by mass loading alone.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering
Effect directionbenefit
PopulationNot supplied
Sample sizeNot supplied
ExposureNot supplied
Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

Applying a DC bias electric field to the PMN-PT layer during humidity detection enhanced the relative longitudinal flexural resonance frequency shift of the PMN-PT/tin PEMS. The maximum enhancement was reported as more than threefold at E = -6 kV/cm compared with no bias field, and the maximal shift at this field was about 1000 times larger than could be explained by mass loading alone.

Outcomes measured

  • Longitudinal flexural resonance frequency shift (relative)
  • Humidity detection sensitivity/enhancement

Limitations

  • No sample size or number of devices/replicates reported in the abstract
  • No details on humidity range, experimental conditions, or statistical analysis provided in the abstract
  • Mechanistic attribution beyond mass loading is not fully detailed in the abstract
View raw extracted JSON
{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "DC bias electric field (applied to PMN-PT layer in a piezoelectric microcantilever sensor)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Longitudinal flexural resonance frequency shift (relative)",
    "Humidity detection sensitivity/enhancement"
  ],
  "main_findings": "Applying a DC bias electric field to the PMN-PT layer during humidity detection enhanced the relative longitudinal flexural resonance frequency shift of the PMN-PT/tin PEMS. The maximum enhancement was reported as more than threefold at E = -6 kV/cm compared with no bias field, and the maximal shift at this field was about 1000 times larger than could be explained by mass loading alone.",
  "effect_direction": "benefit",
  "limitations": [
    "No sample size or number of devices/replicates reported in the abstract",
    "No details on humidity range, experimental conditions, or statistical analysis provided in the abstract",
    "Mechanistic attribution beyond mass loading is not fully detailed in the abstract"
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "piezoelectric microcantilever sensor",
    "PMN-PT",
    "PEMS",
    "DC bias electric field",
    "humidity detection",
    "resonance frequency shift",
    "mass loading"
  ],
  "suggested_hubs": []
}
AI can be wrong. Always verify against the paper.

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

Identifiers and source

DOI: 10.1016/j.snb.2009.01.035
PubMed: 20161253

Read the original paper →

← Back to the Research Library