TriOS OPUS UV Spectral Sensor
Features
- Internal compensation for temperature, turbidity, and organic substances
- RS-485 Modbus RTU output for integration with data collection platforms
- Optional W55 V2 wiper cleans optics & reduces maintenance intervals
- Expedited repair and warranty service
- Lifetime technical support
- More
Overview
The TriOS OPUS is a spectral sensor for the online measurement of nitrogen and carbon compounds. By analyzing a full spectrum, OPUS is able to deliver reliable readings for N-NO3, N-NO2, organic ingredients (COD, BOD, DOC, TOC) and a number of other parameters.
Mechanics
Substances with a specific absorption spectrum, such as nitrate and nitrite, can be used directly as elements of the spectral analysis group. For sum parameters, such as COD, BOD, TOC and DOC, theoretical absorption spectra that TriOS has been able to determine over the course of its many years of experience have been stored. Using these parameters, a spectral analysis based on UV absorption can use only the portion that absorbs UV light. Therefore, the OPUS uses only equivalents, and the parameters have the “eq” suffix appended to them, (i.e. CODeq, BODeq, TOCeq and DOCeq). The spectral analysis group also contains correction spectra that take into account, for example, the effects of turbidity. Because the entire absorption spectrum is detected, parameters such as SAC254 (spectral absorption coefficient at 254nm) can also be calculated.
Integration
The OPUS is compatible with the G2 interface box, allowing fast and easy configuration of the sensors using a web browser. The sensor can be easily integrated into existing process control systems and external data loggers using the native RS-485 Modbus RTU output, and the optional W55 V2 wiper reduces maintenance intervals by cleaning the optics before each measurement.
|
Light source
|
Xenon flash lamp
|
|
|
Detector
|
High-end miniature spectrometer
256 Channels
200 to 360 nm
0.8 nm/pixel
|
|
|
Measurement principle
|
Attenuation, spectral analysis
|
|
|
Optical path
|
0.3mm, 1mm, 2mm, 5mm, 10mm, 20mm, 50mm
|
|
|
|
||
|
Parameter
|
Nitrate NO3-N, Nitrite NO2-N, CODeq, BODeq, DOCeq, TOCeq,
TSSeq, KHP, SAC254, COD-SACeq, BOD-SACeq
|
|
|
Measurement accuracy
|
See measurement ranges below
|
|
|
Turbidity compensation
|
Yes
|
|
|
Data logger
|
~ 2 GB
|
|
|
T100 response time
|
2 min
|
|
|
Measurement interval
|
≥ 1 min
|
|
|
|
||
|
Housing material
|
Stainless steel (1.4571/1.4404) or titanium (3.7035)
|
|
|
Dimensions (L x Ø)
|
470 mm x 48 mm (bei 10 mm path)
|
~ 18.5“ x 1.9“ (with 10 mm path)
|
|
Weight stainless steel
|
~ 3 kg (bei 10 mm path)
|
~ 6.6 lbs (with 10 mm path)
|
|
Weight titanium
|
~ 2 kg (bei 10 mm path)
|
~ 4.4 lbs (with 10 mm path)
|
|
|
||
|
Interface digital
|
Ethernet (TCP/IP), RS-232 or RS-485 (Modbus RTU)
|
|
|
Power consumption
|
≤ 8 W
|
|
|
Power supply
|
12...24 VDC (± 10 %)
|
|
|
|
|
|
|
Maintenance effort
|
≤ 0.5 h/month (typical)
|
|
|
Calibration/maintenance interval
|
24 months
|
|
|
System compatibility
|
Modbus RTU
|
|
|
Warranty
|
1 year (EU: 2 years)
|
US: 2 years
|
|
|
||
|
Max. pressure with SubConn
|
30 bar
|
~ 435 psig
|
|
Max. pressure with fixed cable
|
3 bar
|
~ 43.5 psig
|
|
Max. pressure in FlowCell
|
1 bar, 2...4 L/min
|
~ 14.5 psig at 0.5 to 1.0 gpm
|
|
Protection type
|
IP68
|
NEMA 6P
|
|
|
||
|
Sample temperature
|
+2...+40 °C
|
~ +36 °F to +104 °F
|
|
Ambient temperature
|
+2...+40 °C
|
~ +36 °F to +104 °F
|
|
Storage temperature
|
-20...+80 °C
|
~ -4 °F to +176 °F
|
|
Inflow velocity
|
0,1...10 m/s
|
~ 0.33 fps to 33 fps
|
|
Parameter
|
Measurement Principle
|
Unit
|
Factor
|
Path Length (mm)
|
|||||||
|
|
|
|
|
0.3
|
1
|
2
|
5
|
10
|
20
|
50
|
|
|
absorbance
|
spectral
|
AU**
|
-
|
0.01...2.2
|
0.01...2.2
|
0.01...2.2
|
0.01...2.2
|
0.01...2.2
|
0.01...2.2
|
0.01...2.2
|
|
|
absorbance
|
spectral
|
1/m
|
-
|
50...7300
|
15...2200
|
7.5...1100
|
3...440
|
1.5...220
|
0.75...110
|
0.3...44
|
|
|
Nitrate N-NO3
|
spectral
|
mg/L
|
-
|
1.0...330
|
0.3...100
|
0.15...50
|
0.06...20
|
0.03...10
|
0.015...5
|
0,006...2
|
|
|
Nitrate NO3
|
spectral
|
mg/L
|
-
|
4.43...1460
|
1.33...440
|
0.67...220
|
0.27...88
|
0.13...44
|
0.067...22
|
0.030...9
|
|
|
Nitrite N-NO2
|
spectral
|
mg/L
|
-
|
1.7...500
|
0.5...150
|
0.25...75
|
0.1...30
|
0.05...15
|
0.025...7.5
|
0.01...3
|
|
|
Nitrite NO2
|
spectral
|
mg/L
|
-
|
5.6...1650
|
1.65...500
|
0.82...250
|
0.33...100
|
0.17...50
|
0.083...25
|
0.033...10
|
|
|
DOCeq
|
spectral
|
mg/L
|
-
|
17...3300
|
5.0...1000
|
2.5...500
|
1.0...200
|
0.5...100
|
0.25...50
|
0.1...20
|
|
|
TOCeq
|
spectral
|
mg/L
|
-
|
17...3300
|
5.0...1000
|
2.5...500
|
1.0...200
|
0.5...100
|
0.25...50
|
0.1...20
|
|
|
CODeq
|
spectral
|
mg/L
|
-
|
100...7300***
|
30...2200***
|
15...1100***
|
6.0...440***
|
3.0...220***
|
1.5...110***
|
0.6...44***
|
|
|
BODeq
|
spectral
|
mg/L
|
-
|
100...7300***
|
30...2200***
|
15...1100***
|
6.0...440***
|
3.0...220***
|
1.5...110***
|
0.6...44***
|
|
|
KHP
|
spectral
|
mg/L
|
-
|
17...13300
|
5.0...4000
|
2.5...2000
|
1.0...800
|
0.5...400
|
0.25...200
|
0.1...80
|
|
|
SAC254
|
Single wavelength
|
1/m
|
-
|
50...7300
|
15...2200
|
7.5...1100
|
3.0...440
|
1.5...220
|
0.75...110
|
0.3...44
|
|
|
COD-SACeq****
|
Single wavelength
|
mg/L
|
1.46
|
75...10600
|
22...3200
|
11...1600
|
4.4...640
|
2.2...320
|
1.1...160
|
0.44...64
|
|
|
BOD-SACeq*****
|
Single wavelength
|
mg/L
|
0.48
|
24...3500
|
7.2...1050
|
3.6...525
|
1.44...210
|
0.72...105
|
0.36...52.5
|
0.15...21
|
|
|
TSSeq*****
|
Single wavelength
|
mg/L
|
2.6
|
130...4300
|
40...1300
|
20...650
|
8.0...260
|
4...130
|
2.0...65
|
0.8...26
|
|
|
under laboratory conditions
** absorbance unit
*** depending on the composition of the COD and BOD (sum parameter)
**** based on KHP (Note: 100 mg/L COD-standard-solution corresponds to 85 mg/L KHP)
***** based on SiO2
Note:
1 mg/L N-NO3 corresponds to 4.43 mg/L NO3
1 mg/L N-NO2 corresponds to 3.28 mg/L NO2
|
|||||||||||
- (1) OPUS UV Spectral Sensor
- (1) Fitting for compressed air cleaning
- (1) Calibration certificate
- (1) Operations manual
- Note: Included parameters are temperature, SAC254, and TSS. Addtional parameters must be ordered separately as calibrations (see Accessories tab).
Select Options
In The News
Cal Poly, San Luis Obispo Manages Monitoring Efforts in Morro Bay
California Polytechnic State University, San Luis Obispo (Cal Poly, SLO), has been monitoring Morro Bay for decades, and while the monitoring program has changed over the years, the dedication to monitoring the bay has remained the same. The project started in 2006 as a Packard Foundation-funded initiative to monitor water quality flowing in and out of Morro Bay. The goal at the time was to use the data collected to develop and inform an ecosystem-based management plan in collaboration with the Morro Bay National Estuary Program (MBNEP). Since the estuary was the focus at the time, researchers were monitoring water flowing into the estuary from Chorro Creek and Los Osos Creek.
Read More
Green Water in Green Bay: Using Data Buoys to Monitor the Southern Bay
While the bay of Green Bay has been referred to as the largest freshwater “estuary” in the world, the watershed hosts intensive agriculture and contributes one-third of Lake Michigan’s total phosphorus load. The Fox River flows into the bay, carrying excess nutrients largely the result of non-point source runoff from the watershed. With a history of deterioration extending well into the last century, the bay ecosystem suffered significant declines in water quality. This, in turn, stimulated major clean-up and ongoing restoration efforts to improve water quality. Tracking these changes is an important aspect of ecosystem management.
Read More
Cross-Border Sewage Contaminated Flows: Monitoring the Tijuana River
The Tijuana River runs across the US-Mexico boundary, flowing into and throughout southern California, carrying with it nutrients and contaminants throughout the estuary. In recent decades, the flows have been heavily polluted with untreated sewage from the City of Tijuana. The wastewater enters the greater Tijuana River estuary, impacting coastal communities and disrupting the natural environment. In order to better understand these cross-border flows, researchers out of San Diego University sought to monitor the waterway test the capabilities of in-situ sensors to measure the contaminated water. Natalie Mladenov and Trent Biggs were two of the researchers involved in the project, deploying a real-time monitoring system in May of 2021.
Read More
