Analytical predictive capabilities of Laser Induced Breakdown Spectroscopy (LIBS) with Principal Component Analysis (PCA) for plastic classification-Reference-Cited by-同舟云学术

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Analytical predictive capabilities of Laser Induced Breakdown Spectroscopy (LIBS) with Principal Component Analysis (PCA) for plastic classification

Published:2013 Issue:48 Volume:3 Page:25872
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Unnikrishnan V. K.,Choudhari K. S.,Kulkarni Suresh D.,Nayak Rajesh,Kartha V. B.,Santhosh C.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2013/RA/C3RA44946G

Reference27 articles.

1. NIR - Remote sensing and artificial neural networks for rapid identification of post consumer plastics

2. Recycling of plastics: Automatic identification of polymers by spectroscopic methods

3. Plastic identification and comparison by multivariate techniques with laser-induced breakdown spectroscopy

4. Identification of different kinds of plastics using laser-induced breakdown spectroscopy for waste management

5. Toughening of vinylester-urethane hybrid resins through functionalized polymers

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2. A hypothetical approach toward laser-induced high-density polyethylene pyrolysis: a review;Sustainable Materials and Technologies;2024-09

3. Development of a semi-supervised machine learning based noise filter for quantum cascade laser-coupled mid-infrared spectrometer;Infrared Physics & Technology;2024-09

4. Advanced chemometric methodologies on single shot hyphenated LIBS data for rapid and reliable characterization of plastic classes;Talanta;2024-09

5. Standoff Identification of Plastic Waste Using a Low-Cost Compact Laser-Induced Breakdown Spectroscopy (LIBS) Detection System;Applied Spectroscopy;2024-08-09

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