SGP30 GAS SENSOR MODULE

🔹 SGP30 Gas Sensor Module – TVOC & eCO₂, I²C Interface

The SGP30 is a digital multi-pixel gas sensor module designed for indoor air quality monitoring. It features a metal oxide (MOX) sensing element that detects a wide range of Volatile Organic Compounds (TVOCs) and provides a calculated equivalent CO₂ (eCO₂) output. With its I²C interface and factory-calibrated baseline, it’s ideal for air purifiers, ventilation control, smart home devices, and environmental monitoring projects.

✅ Specifications:

• Sensor IC: SGP30 (Sensirion)

• Measurement: TVOC (Total Volatile Organic Compounds) & eCO₂ (equivalent CO₂)

• TVOC Range: 0 – 60,000 ppb

• eCO₂ Range: 400 – 60,000 ppm

• Resolution:

  • TVOC: 1 ppb

  • eCO₂: 1 ppm

• Accuracy:

  • TVOC: ±15% of reading

  • eCO₂: ±15% of reading (based on learned baseline)

• Interface: I²C (up to 400 kHz)

• Operating Voltage: 3.3V DC (module typically includes 3.3V regulator for 5V compatibility)

• Logic Level: 3.3V (5V tolerant with onboard level shifting)

• Module Interface: 4-pin header (VCC, GND, SCL, SDA)

• Onboard Features: MOX sensor, humidity/ temperature sensor for compensation

• Baseline: Factory-calibrated baseline, supports baseline saving/restoring

• Warm-up Time: 15 seconds (initial), 12 hours for optimal accuracy

• Dimensions: ~15mm x 12mm x 2.5mm (typical breakout board size: ~25mm x 18mm)

• Operating Temperature: -40°C to +85°C

📦 Features:
✔️ Digital I²C interface for easy integration
✔️ Multi-pixel MOX sensing for improved selectivity
✔️ Built-in humidity and temperature compensation
✔️ Factory-calibrated baseline for immediate use
✔️ Low power consumption (48 mA @ 3.3V)
✔️ Long-term stability with automatic baseline correction
✔️ No warm-up time required for relative readings
✔️ Compact surface-mount design

📦 Applications:
✔️ Indoor air quality monitors (IAQ)
✔️ Smart home automation (HVAC control, air purifiers)
✔️ Ventilation control systems
✔️ Air purifier and filter monitoring
✔️ Environmental monitoring stations
✔️ IoT air quality sensors
✔️ Green building and wellness applications
✔️ Arduino, ESP32, Raspberry Pi projects
✔️ Wearable air quality devices

⚠️ Important Notes:

• Baseline learning. The sensor requires ~12 hours of continuous operation in clean air to establish optimal baseline accuracy.

• Calibration. For absolute CO₂ measurements, additional calibration or cross-reference with a reference sensor may be needed.

• 3.3V logic. While many modules include level shifters, verify compatibility with your microcontroller.

• Avoid solvents. The sensor can be poisoned by volatile organic compounds; avoid exposure to silicone vapors, solvents, and high concentrations of VOCs during storage.