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Carbon Nanotube-Based Materials: Experiments and Modelling

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Macromolecules".

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 6188

Special Issue Editor

Department of Mechanical Engineering, National University of Singapore, Singapore
Interests: aerogel; porous material; carbon nanotube; waste; environment; heat transfer; oil; thermal; sound; experiment; modeling

Special Issue Information

Dear Colleagues,

With their vastly superior mechanical, electrical, and thermal properties, carbon nanotubes (CNTs) can be expected to seed significant developments leading to a new generation of future advanced materials. High-performance CNTs have increasingly been used in numerous applications, such as in the manufacture of multifunctional composites, engineering fibers, and electronic and electrochemical devices. Over the last decade, efforts have been carried out to improve the mechanical, electrical, and thermal performances of CNT products by controlling the length, wall number, diameter, alignment, inter-tube load transfer, and entanglement of the constituent CNTs.

This Special Issue focuses on current innovative research of carbon nanotube-based materials through experiments and computational modeling.  

Assoc. Prof. Hai Minh Duong
Guest Editor

Manuscript Submission Information

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Keywords

  • CNT
  • CNT thin films
  • CNT fibers
  • CNT aerogels
  • CNT composites
  • functionalized CNTs
  • multiproperties
  • experiments
  • modeling
  • applications

Published Papers (2 papers)

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Research

15 pages, 2658 KiB  
Article
Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent
by Seef Saadi Fiyadh, Mohamed Khalid AlOmar, Wan Zurina Binti Jaafar, Mohammed Abdulhakim AlSaadi, Sabah Saadi Fayaed, Suhana Binti Koting, Sai Hin Lai, Ming Fai Chow, Ali Najah Ahmed and Ahmed El-Shafie
Int. J. Mol. Sci. 2019, 20(17), 4206; https://doi.org/10.3390/ijms20174206 - 28 Aug 2019
Cited by 14 | Viewed by 2819
Abstract
Multi-walled carbon nanotubes (CNTs) functionalized with a deep eutectic solvent (DES) were utilized to remove mercury ions from water. An artificial neural network (ANN) technique was used for modelling the functionalized CNTs adsorption capacity. The amount of adsorbent dosage, contact time, mercury ions [...] Read more.
Multi-walled carbon nanotubes (CNTs) functionalized with a deep eutectic solvent (DES) were utilized to remove mercury ions from water. An artificial neural network (ANN) technique was used for modelling the functionalized CNTs adsorption capacity. The amount of adsorbent dosage, contact time, mercury ions concentration and pH were varied, and the effect of parameters on the functionalized CNT adsorption capacity is observed. The (NARX) network, (FFNN) network and layer recurrent (LR) neural network were used. The model performance was compared using different indicators, including the root mean square error (RMSE), relative root mean square error (RRMSE), mean absolute percentage error (MAPE), mean square error (MSE), correlation coefficient (R2) and relative error (RE). Three kinetic models were applied to the experimental and predicted data; the pseudo second-order model was the best at describing the data. The maximum RE, R2 and MSE were 9.79%, 0.9701 and 1.15 × 10−3, respectively, for the NARX model; 15.02%, 0.9304 and 2.2 × 10−3 for the LR model; and 16.4%, 0.9313 and 2.27 × 10−3 for the FFNN model. The NARX model accurately predicted the adsorption capacity with better performance than the FFNN and LR models. Full article
(This article belongs to the Special Issue Carbon Nanotube-Based Materials: Experiments and Modelling)
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19 pages, 4216 KiB  
Article
Self-Assembled Supramolecular Ribbon-Like Structures Complexed to Single Walled Carbon Nanotubes as Possible Anticancer Drug Delivery Systems
by Anna Jagusiak, Katarzyna Chłopaś, Grzegorz Zemanek, Małgorzata Jemioła-Rzemińska, Barbara Piekarska, Barbara Stopa and Tomasz Pańczyk
Int. J. Mol. Sci. 2019, 20(9), 2064; https://doi.org/10.3390/ijms20092064 - 26 Apr 2019
Cited by 13 | Viewed by 2981
Abstract
Designing an effective targeted anticancer drug delivery method is still a big challenge, since chemotherapeutics often cause a variety of undesirable side effects affecting normal tissues. This work presents the research on a novel system consisting of single walled carbon nanotubes (SWNT), dispersed [...] Read more.
Designing an effective targeted anticancer drug delivery method is still a big challenge, since chemotherapeutics often cause a variety of undesirable side effects affecting normal tissues. This work presents the research on a novel system consisting of single walled carbon nanotubes (SWNT), dispersed with Congo Red (CR), a compound that forms self-assembled ribbon-like structures (SRLS) and anticancer drug doxorubicin (DOX). SWNT provide a large surface for binding of planar aromatic compounds, including drugs, while CR supramolecular ribbon-like assemblies can be intercalated by drugs, like anthracycline rings containing DOX. The mechanism of interactions in SWNT–CR–DOX triple system was proposed based on electrophoretic, spectral, Dynamic Light Scattering and scanning electron microscopy analyzes. The profile of drug release from the investigated system was evaluated using dialysis and Differential Scanning Calorimetry. The results indicate that ribbon-like supramolecular structures of CR bind to SWNT surface forming SWNT–CR complexes which finally bind DOX. The high amount of nanotube-bound CR greatly increases the capacity of the carrier for the drug. The high capacity for drug binding and possible control of its release (through pH changes) in the analyzed system may result in prolonged and localized drug action. The proposed SWNT–CR–DOX triple system meets the basic criteria that justifies its further research as a potential drug carrier. Full article
(This article belongs to the Special Issue Carbon Nanotube-Based Materials: Experiments and Modelling)
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