SCW is a multi-sensor microsystem (MSM) to monitor for the presence of toxic chemicals (TICs), pollutants, hydrocarbons and organics in water.
At the core of SCW there is SENSIPLUS, the Sensichips microsensor platform that can interrogate on-chip and off-chip sensors with its versatile and accurate Electrical Impedance Spectrometer (EIS) and Potentiostat. Analytics performed with EIS allow to exploit RedOx dynamics of catalytic noble metals to aid chemicals discrimination plus measurement of conductivity and permittivity spectra. The on chip Potentiostat is used for a number of different Voltammetric or Amperometric measurements and real time discrimination of pollutants.
By cycling the electrodes with overvoltage, the device prevents or mitigates formation of biofilms. SCW is a comprehensive multiparametric water analysis microsystem.
Thanks to its versatile analytical instruments and availability of on board catalytic Interdigitated Electrodes, SCW is also an excellent experimental microsystem for discriminative measurement techniques.
|0.4mA continuous when reading on-chip sensors with EIS
|12x15mm, 3mm thickness
|I2C or SENSIBUS, single data wire multidrop sensor array cable interface, 1.5-3.6V
|OTP 48bits Unique Device Identifier, 16bits User Defined
|ELECTRICAL IMPEDANCE SPECTROSCOPY
|3.1mHz to 1.2MHz
|Vpp output sinewave
|156mV to 2.8Vpp
|1st, 2nd or 3rd harmonic
|Reciprocal of real or imagery component
|Wide Measurement Range
|From ohms to 100MΩ
|-40°C to 125°C
|calorimetry, enthalpy, exo/endothermic
|From 3 to 14, potential of Platinum vs Clads-Platinum
|total oxidation and reduction potentials
|reduction/oxidation activity (free chlorine, hardness)
|specific reduction or oxidation potentials
|Anodic Stripping Voltammetry
|measures heavy metals
|Noble metal IDEs measure current specifically
|resistivity, salinity, EC, TDS, absorption dynamics
|turbidity, SS, biomass total/active, hydrocarbons detection
The following data is made available to data scientists, AI developers and it is free to use. The datasets have been acquired with the SCW water sensor and the SLM-Studio software, these are the same data we use to train our own machine learning models.
Please, feel free to share results of your investigation with us.