Identification of black plastics with terahertz time-domain spectroscopy and machine learning.

ABSTRACT: Several optical spectroscopy and imaging techniques have already proven their ability to identify different plastic types found in household waste. However, most common optical techniques feasible for plastic sorting, struggle to measure black plastic objects due to the high absorption at visible and near-infrared wavelengths. In this study, 12 black samples of nine different materials have been characterized with Fourier-transform infrared spectroscopy (FTIR), hyperspectral imaging, and terahertz time-domain spectroscopy (THz-TDS). While FTIR validated the plastic types of the samples, the hyperspectral camera using visible and near-infrared wavelengths was challenged to measure the samples. The THz-TDS technique was successfully able to measure the samples without direct sample contact u

SUBMITTER: Cielecki PP 

PROVIDER: S-EPMC10725460 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature