Gas Sensors

Image Part Number Description / PDF Quantity Rfq
VQ548MP-DA

VQ548MP-DA

Amphenol

LOW POWER, FLAMMABLE GAS SENSOR

35

IR13BD

IR13BD

Amphenol

EX-IA HC INFRARED GAS SENSOR

22

IR25TT-M

IR25TT-M

Amphenol

SERIES 2, 19MM, 0-2%CO2 & 0-5%/1

0

IR21GJ

IR21GJ

Amphenol

SERIES 2, 19MM, 0-5% CO2 IR SENS

0

IR22EJ

IR22EJ

Amphenol

SERIES 2, 19MM, 0-5%/100% HC IR

0

IR603/2

IR603/2

Amphenol

IR SENSOR HEAD FOR 0-5%/100% BRO

0

SGX-4CO

SGX-4CO

Amphenol

4 SERIES CO SENSOR 2,000PPM

96

IR22GJ

IR22GJ

Amphenol

SERIES 2 , 19MM, 0-5%/100% HC IR

0

INIR-ME5%

INIR-ME5%

Amphenol

METHANE GAS SENSOR 0-5%

0

IR602/3

IR602/3

Amphenol

IR SENSOR HEAD FOR 0-5%/100% HC

0

IR21BD

IR21BD

Amphenol

EX-IA CO2 INFRARED GAS SENSOR

24

EC4-2000-NO

EC4-2000-NO

Amphenol

4 SERIES NO GAS SENSOR 2000PPM

17

EC4-2000-CO

EC4-2000-CO

Amphenol

4 SERIES CO GAS SENSOR 2000PPM

5

EC4-1000-H2S

EC4-1000-H2S

Amphenol

4 SERIES H2S GAS SENSOR 1000PPM

0

IR12GM

IR12GM

Amphenol

0-100% VOL. CH4 INFRARED GAS SEN

21

IR23BD

IR23BD

Amphenol

SERIES 2 , 19MM, 0-5%/100% BROAD

0

INIR-EK4

INIR-EK4

Amphenol

INTEGRATED INFRARED DEVELOPMENT

0

IR25TT

IR25TT

Amphenol

SERIES 2 , 19MM, 0-2%CO2 & 0-5%/

0

IR602/1

IR602/1

Amphenol

IR SENSOR HEAD FOR 0-5%/100% HC

0

IR11GM

IR11GM

Amphenol

0-5% VOL. CO2 INFRARED GAS SENSO

24

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

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