Multivariable optimization of carbon nanoparticles synthesized from waste facial tissues by artificial neural networks, new material for downstream quenching of quantum dots

• Main Authors: Shojaei, Taha Roodbar, Mohd Salleh, Mohamad Amran, Mobli, Hossein, Aghbashlo, Mortaza, Tabatabaei, Meisam
• Format: Article
• Language: English
• Published: Springer 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/81444/1/Multivariable%20optimization%20of%20carbon%20nanoparticles%20synthesized%20from%20waste%20facial%20tissues%20by%20artificial%20neural%20networks%2C%20new%20material%20for%20downstream%20quenching%20of%20quantum%20dots.pdf; http://psasir.upm.edu.my/id/eprint/81444/; https://link.springer.com/article/10.1007/s10854-018-00595-0?shared-article-renderer

In this study, water-soluble carbon nanoparticles (CNPs) were synthesized by using waste facial tissue as a non-recyclable waste and the efficiency of CNPs in quenching mechanism of cadmium-telluride quantum dots (QDs) was investigated. In addition, CNPs synthesis was modeled by using artificial neu...