Gas Sensors

Image Part Number Description / PDF Quantity Rfq
ZMOD4490AI1V

ZMOD4490AI1V

Renesas Electronics America

LGA 3.00X3.00X0.70 MM, 0.50MM PI

0

ESCO2W2A

ESCO2W2A

Carlo Gavazzi

SEN CO2 2000PPM 4-20MA OUT

0

IR15TT

IR15TT

Amphenol

19MM, 0-5% CO2 AND 0-5%/100% BRO

22

EC4-1-CLO2

EC4-1-CLO2

Amphenol

4 SERIES CHLORINE DIOXIDE GAS SE

11

VQ623/1

VQ623/1

Amphenol

VQ23 PELLISTOR VQ600 HEAD, METRI

0

27932

27932

Parallax, Inc.

PROPANE GAS SENSOR MODULE

0

27929

27929

Parallax, Inc.

CARBON DIOXIDE GAS SENSOR MODULE

0

605-00007

605-00007

Parallax, Inc.

CARBON MONOXIDE GAS SENSOR

0

605-00008

605-00008

Parallax, Inc.

METHANE GAS SENSOR

0

IR14BD

IR14BD

Amphenol

19MM, 0-100% LEL ACETYLENE INFRA

0

IAQ-CORE P

IAQ-CORE P

ScioSense

MOD IAQ I2C PULSED MODE

0

KGZ10

KGZ10

Honeywell Sensing and Productivity Solutions

SENSOR OXYGEN 4.35V 40UA

0

KGZ10-SP

KGZ10-SP

Honeywell Sensing and Productivity Solutions

SENSOR OXYGEN 4.35V 40UA

0

314100010

314100010

Seeed

GAS SENSOR -MQ5

0

SGAS707

SGAS707

Renesas Electronics America

VOC SENSOR

0

IAQ-ENGINE/T

IAQ-ENGINE/T

ams

IAQ-ENGINE/T MODULE LF I2C & 0-5

0

CCS801

CCS801

ams

ULTRA LOW GAS SENSOR FOR INDOOR

0

968-004

968-004

Spec Sensors

SENSOR NITR DIOX ANALOG VLTG MOD

0

605-00011

605-00011

Parallax, Inc.

ALCOHOL BENZINE GAS SENSOR

0

605-00009

605-00009

Parallax, Inc.

PROPANE GAS SENSOR

0

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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