Our project approach consists of two phases: Dry Transfer Calibration and Flow-Through Filtration. Each phase is detailed below.
Dry Transfer Calibration
In this phase, we assemble the device using readily available materials such as an N95 mask, salt, a coffee filter, interdigitated electrodes, and an LCR meter to validate the concept.
Prototyping: We will extract the electret from an N95 Mask, which is a cheap and accessible filter (Figure 3). However, the electret sheet extracted from an N95 mask is generally not porous enough to allow water to pass through. So we will process the water using salt (NaCl) to density-separate the microplastics from other sediment in the water. We will then use a coffee filter to extract the microplastics and transfer them to the electret surface. We will place the electret on a sensitive interdigitated electrode and use an LCR meter to measure the capacitance across the electrodes.
Testing:
Step 1: Density Separation
Combine table salt (NaCl) with water and stir until the mixture is uniform (Figure 1). Allow it to sit so that dirt can settle at the bottom of the container, while microplastics will float to the top. Carefully pour off the top layer, which contains only the microplastics, into a coffee filter to separate them from the water (Figure 2). Use distilled water to rinse the coffee filter, ensuring that any remaining salt and impurities are washed away. This step is essential because the salt's conductivity can lead to inaccurate readings.
Step 2: Transferring microplastics to the electret
Place the dried coffee filter in a clean glass beaker. Rinse it with a small volume of distilled water (approximately 1–3 mL), focusing on the area where the particles are trapped to ensure they are washed into the beaker. Using a pipette, add small droplets of this suspension directly onto the electret window, extracted from the N95 mask, above the electrodes, and allow it to dry (Figure 3). Ensure the microplastics are completely dried out, as even small traces of water can affect the accuracy of the readings.
Step 3: Measure change in capacitance.
Measure the initial capacitance of the interdigitated electrodes using an LCR meter. This measured value will serve as the baseline for any changes in capacitance that occur after the introduction of the microplastics. Next, transfer the extracted microplastics from the coffee filter to the electret filter. Finally, measure the capacitance of our built device’s electrode and compare it to the initial capacitance measured at the beginning of the process.
Step 4: Calibration Process
Perform the above process for known microplastic concentrations in water: 0.1 mg, 0.2 mg, and 0.25 mg. Compute the change in capacitance for each concentration. Plot the measured capacitance on the y-axis against the microplastic concentrations on the x-axis. Apply a polynomial curve fit to the plotted points using established algorithms. Now, given the change in capacitance, the microplastic quantity in the test water sample can be estimated using the polynomial.
Figure 1
Figure 2
Figure 3
We assemble the device using a polytetrafluoroethylene (PTFE) electret. PTFE tolerates water and harsh conditions much more robustly, with a porous nature and better charge stability. We will also use an Arduino + LC oscillator that converts tiny changes in capacitance into frequency changes, which are much easier to measure with very high resolution.
Prototyping: Using a PTFE electret will enable us to filter microplastics by passing sample water through it, thereby preventing microplastic transfer between surfaces. After placing the PTFE electret on the interdigitated electrode, we will measure the change in capacitance using an Arduino-based LC oscillator. In an LC oscillator, frequency is inversely proportional to the square root of the capacitance, meaning that even a tiny change in capacitance caused by the addition of microplastics will produce a measurable change in frequency. The Arduino will not only provide digital readouts but also enable the creation of a compact, standalone sensor module.
Testing:
Step 1: Density Separation
Combine table salt (NaCl) with water and stir until the mixture is uniform. Allow it to sit so that dirt can settle at the bottom of the container, while microplastics will float to the top. Carefully pour off the top layer, which contains only the microplastics, into the PTFE electret to separate them from the water. Use distilled water to rinse the electret, ensuring that any remaining salt and impurities are washed away. This step is essential because the salt's conductivity can lead to inaccurate readings.
Step 2: Measure change in frequency
Measure the initial resonant frequency of the LC oscillator connected to the interdigitated electrodes using the Arduino's timing functions. This measured frequency will serve as the baseline for any changes that occur after the introduction of microplastics. Next, place the PTFE electret containing the microplastics on the interdigitated electrodes. Finally, measure the resonant frequency again with the Arduino and compute the frequency shift by subtracting the initial baseline frequency from this new measurement.
Step 3: Calibration Process
Perform the following steps for the known microplastic concentrations in water: 0.1 mg, 0.2 mg, and 0.25 mg. Calculate the change in frequency for each concentration relative to the baseline. Plot the measured frequency changes on the y-axis against the microplastic concentrations on the x-axis. Apply a polynomial curve fit to the plotted points using established algorithms to create a calibration function. By inverting this calibration function, you can estimate the corresponding microplastic concentration in the test water from the observed changes in frequency.
Step 4: Test on various water samples
Follow the above steps for freshwater, saltwater, and wastewater, then analyze the findings.
To evaluate the viability of our proposed method, we have established the following criteria:
1. Accuracy: A maximum error margin of 10% in estimating the amount of microplastics.
2. Low Cost: The total material cost of the system should be under $200.
3. Rapid Detection: The detection process should take no longer than 30 minutes.
4. Sensitivity: The system must be capable of measuring microplastic particles within the range of 100 to 500 µm.
5. Portability: The device must be designed to fit within a 20 cm x 20 cm square.
6. Minimal Equipment: Should operate independently, without additional methods.
7. Environmental Compatibility: The system must function effectively with freshwater, seawater (after desalination), and wastewater samples.