Gas Sensors

Image Part Number Description / PDF Quantity Rfq
VQ622T/2

VQ622T/2

Amphenol

VQ22 PELLISTOR, VQ600 HEAD, 0.5"

0

EC4-2000-SO2

EC4-2000-SO2

Amphenol

4 SERIES SO2 GAS SENSOR 2000PPM

15

IR15TT-R

IR15TT-R

Amphenol

0-100% CH4 & CO2 IR GAS SENSOR F

7

VQ621TS/3

VQ621TS/3

Amphenol

VQ21 PELLISTOR, VQ600 HEAD, 0.75

0

VQ621T/3

VQ621T/3

Amphenol

VQ21 PELLISTOR, VQ600 HEAD, 0.75

25

VQ601/1

VQ601/1

Amphenol

VQ1 PELLISTOR, VQ600 HEAD, METRI

0

EC410

EC410

Amphenol

OXYGEN SENSOR

0

VQ622T/3

VQ622T/3

Amphenol

VQ22 PELLISTOR, VQ600 HEAD, 0.75

25

VQ548ZD-S

VQ548ZD-S

Amphenol

3.0V - VQ548ZD - ZERO TESTED

31

VQ603/2

VQ603/2

Amphenol

VQ3 PELLISTOR, VQ600 HEAD, 0.5"

0

VQ622T/1

VQ622T/1

Amphenol

VQ22 PELLISTOR VQ600 HEAD, METRI

23

VQ601/2

VQ601/2

Amphenol

VQ1 PELLISTOR, VQ600 HEAD, 0.5"

0

IR12EJ

IR12EJ

Amphenol

19MM, HYDROCARBON INFRARED GAS S

4

SGX-4OX

SGX-4OX

Amphenol

4 SERIES OXYGEN SENSOR 0-25% 2 Y

125

VQ549ZD

VQ549ZD

Amphenol

4.25V -VQ49 PELLISTOR IN A VQ500

37

VQ605M/1

VQ605M/1

Amphenol

VQ5 PELLISTOR, VQ600 HEAD, METRI

0

MP7217DA

MP7217DA

Amphenol

MINI LOW POWER FLAMMABLE GAS SEN

21

VQ603/1

VQ603/1

Amphenol

VQ3 PELLISTOR, VQ600 HEAD, METRI

0

IR11GJ

IR11GJ

Amphenol

19MM, 0-5% VOLUME CO2 INFRARED G

7

VQ22TB

VQ22TB

Amphenol

PR PELLISTOR PAIR 2V/175MA OC SO

25

Gas Sensors

1. Overview

Gas sensors are detection devices that identify and measure gas concentrations in the environment. They convert chemical interactions with gas molecules into electrical signals for quantitative analysis. These sensors play a critical role in industrial safety, environmental monitoring, healthcare, and smart home systems by preventing gas leaks, ensuring air quality, and enabling process control.

2. Major Types and Functional Classification

TypeFunctional FeaturesApplication Examples
ElectrochemicalHigh accuracy, stable baseline, requires oxygenCO detectors, O2 monitors
SemiconductorLow cost, broad detection range, temperature-dependentIndoor air quality sensors
Catalytic CombustionExplosive gas detection, requires periodic calibrationIndustrial methane detectors
Infrared (IR)Non-contact measurement, high selectivityCO2 HVAC monitoring
Photoionization (PID)VOC detection at ppm levels, UV lamp requiredEnvironmental pollution monitoring

3. Structure and Components

A typical gas sensor consists of: - Sensing element (metal oxide/electrolyte membrane) - Signal conditioning circuit (amplifier, ADC) - Housing with gas inlet ports - Temperature/humidity compensation module - Communication interface (UART/I2C)

4. Key Technical Specifications

ParameterDescription
Detection RangeMeasurable gas concentration span (ppm to %LEL)
SensitivitySignal change per gas concentration unit (mV/ppm)
Response TimeT90 response speed (3-300 seconds)
AccuracyMeasurement error margin ( 2-10%)
Operating TemperatureFunctional range (-20 C to +50 C typical)
Long-term StabilityDrift specification (5-15% per year)

5. Application Fields

  • Industrial safety: Fixed gas detection systems
  • Environmental monitoring: Urban air quality stations
  • Healthcare: Medical breath analyzers
  • Smart homes: Combustible gas alarms
  • Automotive: Cabin air quality management

6. Leading Manufacturers and Products

ManufacturerProduct SeriesKey Features
HoneywellXNX Universal TransmitterDual-sensor redundancy
Figaro EngineeringTGS2600Low-power VOC detection
MembraporToxic Gas SensorsEletrochemical cells for Cl2
SenseairK-30 CO2 ModuleNDIR technology, 30ppm accuracy
AMS (Austria)ENS160 MOX SensorAI-based gas discrimination

7. Selection Guidelines

Key consideration factors:

  1. Target gas chemical properties
  2. Environmental conditions (temperature/humidity range)
  3. Required detection threshold and repeatability
  4. Power consumption budget
  5. Maintenance accessibility for calibration
  6. Cost vs. lifetime trade-offs

Industry Trends Analysis

Emerging development trends include: - Miniaturization through MEMS technology - Multi-gas detection using AI pattern recognition - Wireless self-powered IoT sensor nodes - Enhanced selectivity via nanomaterial coatings - Reduced cross-sensitivity through hybrid sensing methods

RFQ BOM Call Skype Email
Top