Multi-spectral infrared spectroscopy for robust plastic identification.
Appl Opt
; 54(24): 7396-405, 2015 Aug 20.
Article
en En
| MEDLINE
| ID: mdl-26368777
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.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
Idioma:
En
Revista:
Appl Opt
Año:
2015
Tipo del documento:
Article