YSI ProDSS Optical Dissolved Oxygen Sensor
Features
- 0 to 50 mg/L measurement range
- T63<5 sec response time
- ±0.1 mg/L or 1% of reading accuracy from 0 to 20 mg/L
- Free ground shipping
- Expedited repair and warranty service
- Lifetime technical support
- More
The YSI ProDSS optical dissolved oxygen sensor is a digital smart sensor featuring welded titanium construction for use with the ProDIGITAL family of instruments. Compatible instruments include the ProDSS Meter, ProSwap Meter, and ProSwap Logger.
The principle of operation of the ProDSS optical dissolved oxygen sensor is based on the well-documented concept that dissolved oxygen quenches both the intensity and the lifetime of the luminescence associated with a carefully chosen chemical dye. The ProDSS DO sensor operates by shining a blue light of the proper wavelength on this luminescent dye which is immobilized in a matrix and formed into a disk. The blue light causes the immobilized dye to luminesce and the lifetime of this dye luminescence is measured via a photodiode in the probe. To increase the accuracy and stability of the technique, the dye is also irradiated with red light during part of the measurement cycle to act as a reference in the determination of the luminescence lifetime.
When there is no oxygen present, the lifetime of the signal is maximal; as oxygen is introduced to the membrane surface of the sensor, the lifetime becomes shorter. Thus, the lifetime of the luminescence is inversely proportional to the amount of oxygen present and the relationship between the oxygen pressure outside the sensor and the lifetime can be quantified by the Stern-Volmer equation: ((Tzero/T) – 1) versus O2 pressure. For most lifetime-based optical DO sensors, this Stern-Volmer relationship is not strictly linear (particularly at higher oxygen pressures) and the data must be processed using analysis by polynomial non-linear regression. Fortunately, the non-linearity does not change significantly with time so that, as long as each sensor is characterized with regard to its response to changing oxygen pressure, the curvature in the relationship does not affect the ability of the sensor to accurately measure oxygen for an extended period of time.
ProDSS Smart Sensor Specifications:
Parameter |
Range | Accuracy* | Resolution |
---|---|---|---|
Conductivity |
0 to 200 mS/cm |
From 100 to 200 mS/cm: ± 1% |
**0.001, 0.01 or 0.1 µS/cm |
Temperature |
-5 to 70 °C |
± 0.2 °C |
0.1 °C or 0.1 °F |
Dissolved Oxygen |
0 to 50 mg/L |
From 0 to 20 mg/L: ± 1% From 20 to 50 mg/L: ± 8% |
0.01 mg/L or 0.1 mg/L |
pH |
0 to 14 |
± 0.2 |
0.01 |
ORP |
-1999 to 1999 mV |
± 20 mV |
0.1 mV |
Turbidity |
0 to 4000 FNU |
From 0 to 999 FNU: ± 2% From 1000 to 4000 FNU: ± 5% |
0.1 FNU |
Freshwater Total Algae |
0 to 100 µg/L PC |
r2 = 0.999 |
0.01 µg/L PC |
Saltwater Total Algae |
0 to 280 µg/L PE |
r2 = 0.999 |
0.01 µg/L PE |
Nitrate |
0 to 200 mg/L |
± 10% |
0.01 mg/L |
Ammonium |
0 to 200 mg/L |
± 10% |
0.01 mg/L |
Chloride |
0 to 1000 mg/L Cl |
± 15% |
0.01 mg/L |
*Reference specification for each sensor for more details on accuracy
** Range dependent
In The News
Wildfire Prevention in the Sierra Nevada Region with the Yuba Watershed Institute
Though recent wildfires have sparked new conversations about wildfire management and response, groups like the Yuba Watershed Institute have been monitoring the forests and water resources of the Sierra Nevada region for decades, managing approximately 5,000 acres of land with the Bureau of Land Management (BLM) and about 7,000 acres in private land partnerships. The goal of the Institute is to work with local communities and land agencies to improve watershed and forestry management through informed practices and public outreach. The goals of the Yuba Watershed Institute are three-fold: Improve the ability of fire suppression agencies like the California Department of Forestry and Fire Protection ( CAL FIRE ) and the US Forest Service.
Read MoreWave Sensors Integration with NexSens Buoys: A Cutting-Edge Solution for Wave Measurment
Real-time wave data supports accurate weather prediction, safe and efficient maritime operations, and provides valuable safety and operating condition information for recreation and commercial fishing. Understanding wave dynamics also helps with the design of protective coastal structures like seawalls, breakwaters, and jetties. It also supports better prediction of their impact on sediment transport and coastal geomorphology. Wave data is a key factor in qualifying and designing offshore wind farms and harnessing kinetic energy for electrical generation. It helps with the understanding of ocean-atmosphere interactions and contributes to studies of sea-level rise and climate change impacts.
Read MoreSpring 2025 Environmental Monitor Available Now
In the Spring 2025 edition of the Environmental Monitor, we highlight partnerships across the world and the importance of collaboration between government agencies, universities, environmental groups, local communities, and other stakeholders. From great white shark research in Cape Cod to monitoring fisheries in Lake Erie, this latest edition underscores partnerships that connect stakeholders in a watershed through environmental data. With an emphasis on data sharing, a combination of real-time and discrete sampling keeps the public and partners informed of environmental conditions. Our writers also sought out science professionals dedicated to working with peers within and outside of the environmental sector.
Read More