Smartphone TLC Fingerprinting of Caffeine in Drinks
Build a TLC and smartphone densitometry project to compare caffeine-family fingerprints in drinks and connect them to extraction kinetics.
Build a TLC and smartphone densitometry project to compare caffeine-family fingerprints in drinks and connect them to extraction kinetics.
Build a machine-learning screening project that ranks deep-eutectic solvents for lithium extraction and learns how surrogate models save compute.
Build a smartphone color analysis workflow to classify historical pigment mimics with PCA, calibration, and spectral matching.
Measure spiral-wave wavelength in an oscillating reaction, then fit the data to simple ODE models and compare how chemistry changes wave speed.
Use dialysis and DPPH assays to measure how melanoidin size relates to antioxidant activity in coffee and maple syrup.
Measure surface tension, find the critical micelle concentration, and estimate micelle formation free energy with a clear surfactant study.
Test how pencil-derived graphene ink changes resistance under strain, then build clean calibration curves for a wearable sensor project.
Test how Fe³⁺ and tannic acid gels absorb impact, recover after damage, and break apart with pH changes using video analysis and simple measurements.
Build a photocatalysis project by comparing perovskite oxides, measuring dye decay, and linking your data to band-structure predictions.
Map airborne microplastics with sticky slides, image analysis, and weather data, then test how traffic and wind change deposition patterns.