期刊
WASTE MANAGEMENT
卷 117, 期 -, 页码 48-57出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.wasman.2020.07.046
关键词
Plastic waste; Classification; LIBS; Chemometrics; Multivariate analysis
资金
- Defence research development organization (DRDO), India
We present, rapid and efficient identification of ten different types of post-consumer plastics obtained from a local recycling unit by deploying a low cost, compact CCD spectrometer in laser-induced breakdown spectroscopy (LIBS) technique. For this investigation, spectral emissions were collected by an Echelle spectrograph equipped with an intensified charge-coupled device (ES-ICCD) as well as a non-gated Czerny Turner CCD spectrometer (NCT-CCD). The performance is evaluated by interrogating the samples in a single-shot as well as accumulation mode (ten consecutive laser shots). The results from principal component analysis (PCA) have shown excellent discrimination. Further, the artificial neural network (ANN) analysis has demonstrated that individual identification accuracies/rates up to similar to 99 % can be achieved. The data acquired with ES-ICCD in the accumulation of ten shots have shown average identification accuracies similar to 97 %. Nevertheless, similar performance is achieved with the NCT-CCD spectrometer even in a single shot acquisition which reduces the overall analysis time by a factor of similar to 15 times compared to the ES-ICCD. Furthermore, the detector/collection system size, weight, and cost also can be reduced by similar to 10 times by employing a NCT-CCD spectrometer. The results have the potential in realizing a compact and low-cost LIBS system for the rapid identification of plastics with higher accuracies for the real-time application. (C) 2020 Elsevier Ltd. All rights reserved.
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