Dynamic control of adsorption sensitivity for photo-EMF-based ammonia gas sensors using a wireless network.

Sensors (Basel, Switzerland) · 2011 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 3231

Study snapshot

PublicationSensors (Basel, Switzerland) · 2011

Study typeengineering

Reported directionUnclear

Evidence ratingInsufficient

Abstract

This paper proposes an adsorption sensitivity control method that uses a wireless network and illumination light intensity in a photo-electromagnetic field (EMF)-based gas sensor for measurements in real time of a wide range of ammonia concentrations. The minimum measurement error for a range of ammonia concentration from 3 to 800 ppm occurs when the gas concentration magnitude corresponds with the optimal intensity of the illumination light. A simulation with LabView-engineered modules for automatic control of a new intelligent computer system was conducted to improve measurement precision over a wide range of gas concentrations. This gas sensor computer system with wireless network technology could be useful in the chemical industry for automatic detection and measurement of hazardous ammonia gas levels in real time.

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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 directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureNot supplied

Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

The paper proposes a method to control adsorption sensitivity in a photo-EMF-based ammonia gas sensor using a wireless network and illumination light intensity. Minimum measurement error across 3–800 ppm ammonia occurred when the ammonia concentration magnitude corresponded to an optimal illumination intensity. A LabView-based simulation of an automatic control system was conducted to improve measurement precision over a wide concentration range.

Outcomes measured

Ammonia gas sensor measurement error/precision
Real-time measurement across ammonia concentrations (3–800 ppm)
Adsorption sensitivity control via illumination intensity

Limitations

No wireless network technical parameters (e.g., frequency, power) are provided in the abstract.
No biological/health outcomes are assessed; this is an engineering/sensor performance study.
Sample size and experimental validation details are not described in the abstract (simulation is mentioned).

View raw extracted JSON

{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "wireless network",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "Ammonia gas sensor measurement error/precision",
    "Real-time measurement across ammonia concentrations (3–800 ppm)",
    "Adsorption sensitivity control via illumination intensity"
  ],
  "main_findings": "The paper proposes a method to control adsorption sensitivity in a photo-EMF-based ammonia gas sensor using a wireless network and illumination light intensity. Minimum measurement error across 3–800 ppm ammonia occurred when the ammonia concentration magnitude corresponded to an optimal illumination intensity. A LabView-based simulation of an automatic control system was conducted to improve measurement precision over a wide concentration range.",
  "effect_direction": "unclear",
  "limitations": [
    "No wireless network technical parameters (e.g., frequency, power) are provided in the abstract.",
    "No biological/health outcomes are assessed; this is an engineering/sensor performance study.",
    "Sample size and experimental validation details are not described in the abstract (simulation is mentioned)."
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "photo-electromagnetic field (photo-EMF)",
    "ammonia",
    "gas sensor",
    "adsorption sensitivity",
    "illumination intensity",
    "wireless network",
    "real-time measurement",
    "LabView",
    "automatic control",
    "chemical industry"
  ],
  "suggested_hubs": []
}

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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: 10.3390/s111110930
PubMed: 22346680

Read the original paper →