The MS Tech Sensor R&D Center is currently developing novel Tuning Fork Sensors. The Tuning Fork Sensors are based on the principle of dual tuning forks, which are vibrated at low frequencies. The scientific developments include the deposition of polymer, monolayer and antibody coatings, which are applied on the active surface of the sensors.
The Tuning Fork Sensors coated with selective coatings are designed for operation in gas, vapor and liquid phases. As the Tuning Fork Sensors is progressively covered by a liquid, a shift in frequency occurs, which activates the relay output. The Tuning Fork Sensor is often used in conditions where there may be frequent composition changes in the liquid.
Tuning Fork Sensor Array
Tuning Fork Sensor Matrix (In Operation)
The Tuning Fork Sensors have the capacity to detect and identify traces of materials in gas, vapor and liquid phases, even at very low concentrations. The sensors can be operated in a wide ambient temperature range (-10Ā°C to +60Ā°C) and at a humidity range of 5% to 95% RH without condensation.
Tuning Fork Sensor
The Tuning Fork Sensors areĀ based on theĀ vibration theory where molecules adsorbed on the surface of selective chemical coatings create changes in the mass weight of theĀ Tuning Fork Sensors. This process affects their resonating frequency and provides a unique digital signature or fingerprint for each target substance. The changes are accurately measured within seconds through a combination ofĀ Tuning ForkĀ Sensors and powerful pattern recognition algorithms.
The dynamic range of resonating frequency ofĀ Tuning Fork Sensors is typically between several to a few hundred MHz. In each sample analysis, the frequency responses of all sensors are measured over pre-determined time intervals.
The sample identification process occurs when pattern recognition algorithms process the received digital signature and match it with an existing database of substances stored in the instrument. TheĀ Tuning ForkĀ Sensors responses create a digital signature characterizing theĀ Tuning ForkĀ Sensor Matrix reaction to a specific material inserted for analysis.
The Sensor Matrix response for a given sample is systematically measured and consistent, to the extent that the likely ranges of target molecules and typical interferents have been previously inserted to the database.
The distribution of the Sensor Matrix responses to analyzed samples can be plotted as histograms. This technological concept enables a fast adaptation and flexibility in ālearningā to detect and identify new target substances while keeping low false alarm rates.