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Addendum

Addendum: Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134

1
Guizhou Provincial Key Laboratory for Information Systems of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang 550001, China
2
Department of Applied Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
*
Author to whom correspondence should be addressed.
Nanomaterials 2017, 7(10), 309; https://doi.org/10.3390/nano7100309
Submission received: 27 September 2017 / Revised: 27 September 2017 / Accepted: 28 September 2017 / Published: 8 October 2017
The authors wish to make the following addendum to their paper [1]:
We need to add the following three references to Section 3.5 “Equilibrium Adsorption Isotherm and Kinetics Studies” of our recently published paper [1]: “Zur Theorie Der Sogenannten Adsorption Gelöster Stoffe”, by Lagergren, published in Bihang till K. Svenska Vet-Akad. Handlingar, 1898 [2]; “Adsorption of Heavy Metals from Waste Streams by Peat”, by Ho, Ph.D. Thesis, University of Birmingham, 1995 [3]; “Sorption of Dye from Aqueous Solution by Peat”, by Ho and McKay, published in Chem. Eng. J., 1998 [4]. These three articles described the adsorption kinetics, i.e., the pseudo-first order kinetic model and the pseudo-second order kinetic model.
The authors would like to apologize for any inconvenience caused. The change does not affect the scientific results. The manuscript will be updated and the original will remain online on the article webpage.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134. [Google Scholar] [CrossRef] [PubMed]
  2. Lagergren, S.Y. Zur Theorie Der Sogenannten Adsorption Gelöster Stoffe. Bihang till K. Svenska Vet-Akad. Handlingar 1898, 24, 1–39. [Google Scholar]
  3. Ho, Y.S. Adsorption of Heavy Metals from Waste Streams by Peat. Ph.D. Thesis, University of Birmingham, Birmingham, UK, 1995. [Google Scholar]
  4. Ho, Y.S.; McKay, G. Sorption of Dye from Aqueous Solution by Peat. Chem. Eng. J. 1998, 70, 115–124. [Google Scholar] [CrossRef]

Share and Cite

MDPI and ACS Style

Shi, X.; Ruan, W.; Hu, J.; Fan, M.; Cao, R.; Wei, X. Addendum: Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134. Nanomaterials 2017, 7, 309. https://doi.org/10.3390/nano7100309

AMA Style

Shi X, Ruan W, Hu J, Fan M, Cao R, Wei X. Addendum: Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134. Nanomaterials. 2017; 7(10):309. https://doi.org/10.3390/nano7100309

Chicago/Turabian Style

Shi, Xuedan, Wenqian Ruan, Jiwei Hu, Mingyi Fan, Rensheng Cao, and Xionghui Wei. 2017. "Addendum: Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134" Nanomaterials 7, no. 10: 309. https://doi.org/10.3390/nano7100309

APA Style

Shi, X., Ruan, W., Hu, J., Fan, M., Cao, R., & Wei, X. (2017). Addendum: Shi, X.D.; Ruan, W.Q.; Hu, J.W.; Fan, M.Y.; Cao, R.S.; Wei, X.H. Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA). Nanomaterials 2017, 7, 134. Nanomaterials, 7(10), 309. https://doi.org/10.3390/nano7100309

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