title: Multi-spectral infrared spectroscopy for robust plastic identification.
abstract: The identification and classification of plastics plays an important role in waste management and recycling processes. Present electrical and optical sorting techniques lack the required resolution for accurate identification in a high throughput manner for a diverse set of plastics commonly found in municipal waste. In this work a multi-spectral infrared spectroscopic technique is employed to construct a unique fingerprint library of 12 plastic resin groups that are commonly encountered in municipal waste. We test the proposed method in a blind plastic identification experiment, which shows excellent unbiased identification accuracy. This simple optical technique in combination with the multi-spectral library will enable high throughput and accurate detection of various plastics from recovered solid waste.
authors.forename: Abraham
authors.initials: A
authors.lastname: Vázquez-Guardado
authors.forename: Mason
authors.initials: M
authors.lastname: Money
authors.forename: Nathaniel
authors.initials: N
authors.lastname: McKinney
authors.forename: Debashis
authors.initials: D
authors.lastname: Chanda