Hyperspectral imaging system detects and characterizes the spectralum of microplastics

 
  Microplastic pollution has become an urgent issue because it adversely affects ecosystems.However, efficient methods to detect and characterize microplastic particles are still in development. distinct spectral features at 1150–1250 nm, 1350–1450 nm and 1600–1700 nm, enabling their automatic recognition and identification with spectral separation algorithms. Using an improved hyperspectral imaging system, we demonstrated the detection of three types of microplastic particles, polyethylene, polypropylene and polystyrene, down to 100 μm in diameter