5565A - 5565A Amplified pH/ORP Combo Sensor_1904096
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Xylem Amplified pH/ORP Combo Sensor

$1,664.04

The price is inclusive of GST

The Xylem Amplified pH/ORP Combo Sensor is designed specifically for the YSI Model 556 instrument, offering fast and accurate measurement of pH and ORP (redox) in a single, easy-to-use sensor. This amplified combination sensor features user-replaceable capability, allowing quick sensor swaps without the need for any tools. Ideal for challenging environments, it performs reliably in high static conditions, very cold waters, long cable lengths, and extended field studies where moisture exposure at the connector can be a concern.

Product Features

  • Compatible with YSI Model 556 instrument for combined pH and ORP measurements
  • Amplified sensor technology for enhanced signal clarity and accuracy
  • User-replaceable design allows quick and tool-free sensor changes
  • One-year sensor warranty for peace of mind
  • Ideal for harsh environments including high static situations and very cold waters
  • Suitable for long cable lengths and extended field deployments
  • Connector designed to resist moisture, ensuring long-lasting reliability

Benefits

  • Fast, reliable pH and ORP measurement in a single sensor reduces setup complexity
  • Easy replacement minimizes downtime and maintenance efforts
  • Durable design extends sensor life even in challenging field conditions
  • Supports long-term monitoring with stable readings over extended periods
  • Amplified signal reduces noise, improving measurement accuracy in difficult environments

Why Choose the Xylem Amplified pH/ORP Combo Sensor?

Designed for environmental monitoring and laboratory applications requiring precise pH and ORP readings, the Xylem Amplified pH/ORP Combo Sensor combines convenience with advanced technology. Its robust, user-friendly design ensures reliable performance in tough conditions, making it the ideal choice for professionals conducting long-term water quality assessments or field studies with challenging variables.

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