Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Multi-spectral infrared spectroscopy for robust plastic identification

Not Accessible

Your library or personal account may give you access

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.

© 2015 Optical Society of America

Full Article  |  PDF Article
More Like This
“Albedo dome”: a method for measuring spectral flux-reflectance in a laboratory for media with long optical paths

Bonnie Light, Regina C. Carns, and Stephen G. Warren
Appl. Opt. 54(17) 5260-5269 (2015)

Quantum cascade laser-based reflectance spectroscopy: a robust approach for the classification of plastic type

Anna P. M. Michel, Alexandra E. Morrison, Beckett C. Colson, William A. Pardis, Xavier A. Moya, Charles C. Harb, and Helen K. White
Opt. Express 28(12) 17741-17756 (2020)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (20)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.