Starting at $2,430.71
  • Not in stock. Usually ships in 1-2 weeks

Features

  • Measuring ranges:
    • 0.01 to 60 mg/l
    • 0 to 600% SAT
    • 0 to 6 psi (0 to 1200 hPa)
    • 0 to 100 Vol%
  • 23 to 275°F (-5 to 135°C), non-freezing process temperature
  • 174 psi (12 bar) absolute process pressure
  • ≤ ±1% of measuring range + 10 ppb accuracy
  • Resolution:
    • 10 ppb in aqueous media
    • 0.2 hPa or 0.02 Vol% in gaseous media
  • 40 to 100 nA signal current in air
  • Zero current:
    • <0.1 % of the signal current in air
  • <4% per month long-term drift
  • Pg 13.5 process connection
  • IP68 protection
  • ATEX, FM, CSA
  • USP class VI
  • Certificate 3.1 in accordance with EN10204
  • Unique hygienic design (EHEDG)

The E+H Oxymax COS22D oxygen sensor safeguards products, process and plant equipment from oxygen influences. The COS22D provides reliable measurement over a wide range, enabling better monitoring and control of applications. The sensor is sterilizable and autoclavable, and suitable for clean-in-place (CIP) and steam-in-place (SIP) processes.

The COS22D sensor features Memosens digital technology, offering greater process and data safety, easy handling, and predictive maintenance. The non-contact inductive signal transmission eliminates problems associated with moisture, such as corrosion and distortion. The intrinsically safe electronics allow application in hazardous areas. Since measured values are transmitted digitally, data is free from interference and errors are immediately detected. Sensors with Memosens technology also have integrated electronics that store calibration data and operating information, allowing for calibration separately from the measuring point and protected from the effects of weather. Maintenance intervals can be defined based on all stored sensor load and calibration data.

E+H Oxymax COS22D Oxygen Sensor Applications

  • Pharmaceutics and biotechnology
  • Food and beverages
  • Chemicals
  • Water treatment
  • Inertizations
  • Residual oxygen measurement in processes