Abstract
This data file includes experimental details on how to make uncoated iron oxide nanoparticles using a green electrochemical method. It provides the raw data on the antibacterial activity of one of these formulations, and the full computational data and methodology used to generate that data, of several different magnetite clusters of specific spin multiplicities for 4, 5, 7 and 9 iron atom magnetite clusters. This data will assist other researchers wishing to replicate or expand on these results for the investigation and use of nanomagnetite for antibacterial applications.
Specifications table
| Subject area | Chemistry and materials science |
| More specific subject area | Iron oxide nanoparticles, characterization and biological activity |
| Type of data | Experimental details, tables of biological results,.txt files for use as computational input files. |
| How data was acquired | Computational data was acquired using Gaussian09, biological data was accomplished using a variety of optical techniques described in the experimental sections below. |
| Data format | Raw biological data, calculated computational data |
| Experimental factors | All samples were prepared according to the protocols included. |
| Experimental features | All experiments were conducted according to the protocols included. |
| Data source location | Not relevant |
| Data accessibility | Data included in this article |
| Related research article | Accompanying a submitted article to Molecular Liquids, Submitted Jan 05, 2018. |
Value of the data
-
•
The biological data shows potent activity. The data is provided here for other researchers to compare with their own as magnetite is further investigated as a potential antibacterial material.
-
•
The computational results are the most detailed study of magnetite in the literature to the best of our knowledge. It is our hope that other researchers can use these as a starting point for even better refining the computational models in the future.
-
•
This is a scalable, green, inexpensive synthesis of nanomagnetite with low dispersity. The synthesis described here will hopefully be helpful to others looking to replicate or make similar systems.
Data
The data includes the experimental protocols required to make the nanomagnetite, the experimental details for both the computational and biological studies, the biological data used for our analyses, and full co-ordinates for all the computational models referenced in the accompanying article: “The Synthesis and Characterization of a Nanomagnetite with Potent Antibacterial Activity and Low Mammalian Toxicity [1].” We hope that this data release will assist other researchers investigating similar systems and similar applications.
1. Experimental design, materials, and methods from the publication
1.1. General experimental information
Iron (II) sulfate heptahydrate (FeSO4·7H2O, Sigma-Aldrich) and sodium hydroxide (Sigma-Aldrich) were analytical grade and used as received without further purification. The DU145 human adenocarcinoma cell line was purchased from Pasteur Institute (Iran). X-ray powder diffraction was carried out on a D8 Advance X’Pert X-Ray diffractometer (Bruker); Fourier-transform infrared spectroscopy was done on a JASCO 640 plus machine (4000–400 cm−1) at room temperature using KBr pellets; vibrating magnetometry was analyzed using a Kavir Precise Magnetic instrument (MDKFT, Iran); field emission scanning electron microscopy was carried out using a Mira 3-XMU instrument capable of 700,000× magnification.
1.2. Nanoparticle synthesis
The magnetite nanoparticles were prepared using a surfactant-free electrochemical approach as previously reported in a closed distilled water system, without inert gas atmosphere [2]. Additional details are provided in the SI.
1.3. Computational methodology
The computational calculations for our proposed iron oxide clusters (Fe4, Fe5, Fe7, and Fe9) were performed using the Gaussian 09 suite of programs [3]. Additional details are provided in the SI.
1.4. Ethics review
The following biological research was all approved by the ethics board at the University of Zabol [2], [3], [4], [5], [6], [7], [8]. The animal studies were conducted following the guidelines of the Animal Ethics Committee of the Faculty of Veterinary Medicine, University of Zabol, Zabol, Iran [2], [3], [4], [5], [6], [7], [8]. All animal treatment was carried out in a humane fashion in compliance with both institutional and EU Directive 2010/63/EU requirements.
1.5. Antibacterial assay
The determination of the minimum inhibitory concentration (MIC) was carried out in 96-well plates using serial dilutions of a stock of sonicated 3000 MP Ultrasonic Homogenizer nanoparticles (those prepared as above at pH = 13) according to the standard protocol [4]. Escherichia coli and Staphylococcus aureus were prepared from human diagnostic laboratories and identified using standard bacteriological methods [5]. Additional details are provided in the SI.
1.6. Animal studies
All weights are dry weights. Adult male Wistar rats (190–210 g) obtained from the Laboratory Animal Center University of Zabol were used in this study. Rats were randomly divided into four groups (n = 10). The control group was given 1 ml of distilled water using the oral gavage technique once a day for 14 days. The second group was treated with 1 ml of nanomagnetite solution (10 ppm/ml/day) once a day, for 14 days. The third group received 1 ml of nanomagnetite solution (100 ppm/ml/day) once a day, for 14 days. The fourth group received 1 ml of nanomagnetite solution (1000 ppm/ml/day) once a day, for 14 days. At the end of the feeding schedule (14 days) the animals were sacrificed by cervical dislocation and the blood samples were collected from the heart and centrifuged (3000 rpm for 5 min) to recover the serum. The serum was then immediately frozen at −80 °C until needed for the assays detailed in the supporting material and described below.
Acknowledgments
J.F.T and S.M.T would like to thank the University of Windsor for providing funding for this project. This work was made possible by the facilities of the Shared Hierarchical Academic Research Computing Network (SHARCNET: www.sharcnet.ca) and Compute/Calcul Canada. M.A. and F.S. would like to thank the University of Sistan and Baluchestan for financial support for this work. A.R., M.R.H. and M.J. would like to thank the University of Zabol for financial support for this work. All authors declare that they have no competing financial interest.
Footnotes
Transparency data associated with this article can be found in the online version at https://doi.org/10.1016/j.dib.2018.08.097.
Supplementary data associated with this article can be found in the online version at https://doi.org/10.1016/j.dib.2018.08.097.
Contributor Information
Abbas Rahdar, Email: a.rahdar@uoz.ac.ir.
Mousa Aliahmad, Email: aliahmad@phys.usb.ac.ir.
John F. Trant, Email: j.trant@uwindsor.ca.
Transparency document. Supplementary material
Supplementary material
.
Appendix A. Supplementary material
Supplementary material.
.
References
- 1.Taimoory S.M., Rahdar A., Aliahmad M., Sadeghfar F., Hajinezhad M.R., Jahantigh M., Shahbazi P., Trant J.F. The synthesis and characterization of a magnetite nanoparticle with potent antibacterial activity and low mammalian toxicity. J. Mol. Liq. 2018;265:96–104. doi: 10.1016/j.dib.2018.08.097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Taimoory S.M., Rahdar A., Aliahmad M., Sadeghfar F., Hashemzaei M., Trant J.F. e-J. Surf. Sci. Nanotechnol. 2017;15:31. [Google Scholar]
- 3.Frisch M.J., Trucks G.W., Schlegel H.B., Scuseria G.E., Robb M.A., Cheeseman J.R., Scalmani G., Barone V., Mennucci B., Petersson G.A., Nakatsuji H., Caricato M., Li X., Hratchian H.P., Izmaylov A.F., Bloino J., Zheng G., Sonnenberg J.L., Hada M., Ehara M., Toyota K., Fukuda R., Hasegawa J., Ishida M., Nakajima T., Honda Y., Kitao O., Nakai H., Vreven T., Montgomery J.A., Jr., Peralta J.E., Ogliaro F., Bearpark M.J., Heyd J., Brothers E.N., Kudin K.N., Staroverov V.N., Kobayashi R., Normand J., Raghavachari K., Rendell A.P., Burant J.C., Iyengar S.S., Tomasi J., Cossi M., Rega N., Millam N.J., Klene M., Knox J.E., Cross J.B., Bakken V., Adamo C., Jaramillo J., Gomperts R., Stratmann R.E., Yazyev O., Austin A.J., Cammi R., Pomelli C., Ochterski J.W., Martin R.L., Morokuma K., Zakrzewski V.G., Voth G.A., Salvador P., Dannenberg J.J., Dapprich S., Daniels A.D., Farkas Ö., Foresman J.B., Ortiz J.V., Cioslowski J., Fox D.J. Gaussian, Inc.; Wallingford, CT, USA: 2009. Gaussian 09. [Google Scholar]
- 4.Performance Standards for Antimicrobial Susceptibility, Testing Seventeenth Informational Supplement, M100-S17, 2007, Clinical and Laboratory Standards Institute Wayne, PA.
- 5.Murray P.R., Rosenthal K.S., Pfaller M.A. Mosby/Elsevier; Philadelphia: 2009. Medical Microbiology. [Google Scholar]
- 6.Fajaroh F., Setyawan H., Widiyastuti W., Winardi S. Adv. Powder Technol. 2012;23:328. [Google Scholar]
- 7.Becke A.D. J. Chem. Phys. 1993;98:1372. [Google Scholar]
- 8.Ma X., Zhang Z., Wang A. Constr. Build. Mater. 2016;104:25. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary material
Supplementary material.