Eco Detection’s SDG areas of focus
Winner Sustainability & Environmental Solution
National Top 10 Most Innovative Manufacturers 2023
BASELINING NATURE & INDUSTRY
Moving from methodology to measurement in real-time.
+ A world’s first system
Fully autonomous multiparameter laboratory grade water analysis system designed for remote operations, critical infrastructure, wastewater processing, aquaculture, research and general water chemical analysis
+ Reduce cost, risk and delay
High frequency automated measurement at a fraction of grab sample analysis cost
+ Faster, actionable results
Cloud-based data transfer and visualisation allows remote monitoring, alerting and fleet configuration
+ Food and water security
A critical innovation for food and water security
+ Up to 12 months continuous operation without servicing
No biofouling, no drift with each analysis calibrated against an internal standard
+ Measurement, Reporting and Verification (MRV)
Automatic accurate verifiable data to unlock carbon, nutrient and biodiversity credits
+ Proven operation and accuracy
Used by major infrastructure operators, councils, universities and independent laboratories in Australia and New Zealand
Best in class autonomous measurement of water chemistry
Our unique technology captures complex water chemistry data and simplifies it to enable faster and better informed environmental decisions that help solve global water challenges.
A data as a service (DaaS) solution, Eco Detection Ion-Q series is a fully integrated platform that combines world-first sensor technology, cloud-based automated reporting and predictive analytics for remote water monitoring and testing in real-time.
Eco Detection does away with slow methodologies and provides the world’s first lab-grade remote sensing platform for the measurement of dissolved inorganic carbon and nutrients for the monitoring and assessment of long-term trends and short-term changes of coastal and ocean vegetation. Our market-leading measurement, reporting and verification (MRV) platform provides validation of carbon, nutrient and growing biodiversity accounting models. We deliver faster, more accurate measurements at a lower cost per unit area than satellites and field surveys.
Water utilities account for about 2% of global GHG emissions, on par with the shipping industry. This means water is contributing to a warming world. Some global water utilities and stakeholders have set net zero and climate neutrality targets to mitigate their emissions, but many are still in the process of working out how to achieve these. Other operators have yet to commit to formal targets.
Eco Detection provides dynamic ammonium-nitrate control of wastewater treatment plant aeration using Ion-Q+ measurements for optimised aeration throughput to achieve reduced energy usage and greenhouse gas emissions.
Measure.
Manage.
Mitigate.
Eco Detection is a game changer. The data obtained will lead to a better understanding of nutrient sources and allow Derwent Estuary Program to calculate more accurate nutrient loads to help industry understand their nutrient discharges.
Bernadette Proemse PhD, Catchment Scientist
Until now, no freshwater monitoring solution existed that could capture complex environmental data in real-time. With our self-calibrating sensor technology, we can test as low as ten parts per billion for contaminants such as nitrates and coming soon, heavy metals.
Offering our clients a DaaS solution, our real-time data and AI predictive algorithms lets us anticipate trends as they happen, reducing negative environmental impacts to ensure our natural waterways and fragile ecosystems are protected and not exploited.
Product
Specifications
Eco Detection Ion-Q+ offers a unique multiparameter solution optimised for targeting analytes of interest. This table indicates the current specifications and the product roadmap expanding our CZE detection capabilities.
Note: Ion-Q+ features remotely adjustable sensitivity for higher range requirements.
| Analytes | Range (mg/L) |
|---|---|
| Nitrite as N (NO2-N) | 0.03 – 5.0 |
| Nitrate as N (NO3-N) | 0.03 – 5.0 |
| Fluoride | 0.1 – 10.0 |
| Phosphate as P(PO4 -P) | 0.1 – 10.0 |
| Chloride | 1.0 – 100 |
| Sulphate | 2.0 – 200 |
| Analytes | Range (mg/L) |
|---|---|
| Carbonate | 2.0 – 200 |
| Ammonium (NH4 + N) | 0.2 – 200 |
| Magnesium (Mg)* | 1.0 – 200 |
| Potassium (K) | 1.0 – 200 |
| Calcium (Ca)* | 1.0 – 200 |
| Iron (II)* | 0.3 – 100 |
| General | |
|---|---|
| Compatible Water Conditions | Conductivity ≤ 2,000 μS/cm Turbidity ≤ 1000 NTU |
| Operating Temperature | -5°C to +40°C (23°F to 104°F) ambient temperature |
| Sampling Rate | 1-6 samples per day 90 days/400 samples per service interval |
| Accuracy | 10% or 0.1 mg/L, whichever is greater |
| Automatic Calibration + Protection | Automatic internal self-calibration, fluidics, and turbidity protection |
| Environmental Rating | Eco Detection unit IP54, external sub pump sensors IP68 |
| Power | Mains power 240v input. Battery power: 100Ah *12V Solar power: 300W – 350W |
| Connectivity | Internet via cellular or satellite. Operation is continuous even without an internet connection |
* Preliminary indication only
Auxiliary sensors
The Eco Detection system is capable of deployment with auxiliary sensors to measure associated water quality parameters at the same time. This enables the system to provide a more comprehensive view of the state of the water source through the same integrated data delivery channel.
Auxiliary sensors that have been integrated with the device include; turbidity, conductivity, pH, temperature and dissolved oxygen.
Product Roadmap
| Analytes | Range |
|---|---|
| Phosphate | (high sensitivity) 0.01 mg/L |
| Glyphosate | 0.1 mg/L |
| Heavy Metals | Range |
|---|---|
| Arsenic, Cadmium, Cobalt, Copper, Lead, Mercury, Nickel & Zinc | 0.01 mg/L |
| PFAS | To be determined |
| Bacteria | To be determined |
Making a real
difference
We help our clients understand what the baseline of their catchment ecosystems looks like. This lets them identify potential threats, opportunities and challenges in real-time. Through more accurate monitoring and AI for predicting events, we can improve and protect our fragile freshwater environments.