Facile and controllable synthesis of hematite (α-Fe2O3) nanostructures using GRA-APSO and ANN: Reaction performance optimization for haemotoxicity and MRI assessment
Source abstract
Abstract
The strategic exploration of a synthetic approach to afford pristine theranostic nanoparticles (NPs) endowed with versatile physicochemical properties depends on their structural attributes. Therefore, optimizing their design while preserving the crystallinity will undoubtedly be a key foundational data to resolve and understand their biophysical and therapeutic properties. Herein, we report a facile synthesis of α-Fe 2O 3 NPs under different experimental conditions via the co-precipitation technique. An optimization method- grey relational analysis coupled adaptive particle swarm optimization (GRA-APSO) and artificial neural network (ANN)-a modeling tool were employed to optimize and predict the relationship between the input parameters (pH, stirring speed, reaction temperature, and calcination temperature) and the response attributes (crystallite size, lattice strain, crystallinity index, bond length, and band gap). X-ray diffraction (XRD) pattern revealed the hematite crystal structure for NPs synthesized under initial (IE) and optimized (OE) experimental conditions. Transmission electron microscopy (TEM) confirmed the hexagonal shape of α-Fe 2O 3 NPs with particle size averaging at 8.5 and 13.7 nm for OE and IE, respectively. Brunauer–Emmett–Teller (BET) measurements unveiled the mesoscopic structure of the as-synthesized samples with a high specific surface area (160 m 2 /g) for OE. The magnetic hysteresis analysis displayed the weak-ferromagnetic nature of α-Fe 2O 3 samples. Pure α-Fe 2O 3 NPs exhibited high T 2 relaxivity (OE-34.8 and IE-36.4 mM −1s −1). Subsequently, haemocompatibility assays demonstrated excellent compatibility of IE and OE samples toward human RBCs. Moreover, synchronous attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) and circular dichroism (CD) measurements proved minimal change in the α-helical content of plasma upon association with α-Fe 2O 3 NPs. The synergistic outcomes of the present study can promise new avenues for exploring haemocompatible α-Fe 2O 3 NPs as a novel theranostic nanomedicine for multi-modal imaging and versatile biomedical applications.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Iron oxide chemistry and applications · Iron Metabolism and Disorders · Nanoparticle-Based Drug Delivery
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (100+)
Show source-provided references
1. Nanocomposites based on graphene oxide and mesoporous silica nanoparticles: preparation, characterization and nanobiointeractions with red blood cells and human plasma proteins10.1016/j.apsusc.2017.12.082 ↗
2. R. Kuhn, I.M. Bryant, R. Jensch, J. Böllmann, Applications of Environmental Nanotechnologies in Remediation, Wastewater Treatment, Drinking Water Treatment, and Agriculture, (2022) 54–90.10.3390/applnano3010005 ↗
3. Monodisperse porous pod-like hematite: hydrothermal formation, optical absorbance, and magnetic properties10.1016/j.matlet.2010.12.053 ↗
4. Elkodous · Recent Adv. Waste - Recycl. Nanomater. Biomed. Appl.: Waste - to - Wealth · 2021 · 1662
5. S. Anjum, S. Ishaque, H. Fatima, W. Farooq, C. Hano, B.H. Abbasi, I. Anjum, Emerging Applications of Nanotechnology in Healthcare Systems: Grand Challenges and Perspectives, (2021) 1–26.10.3390/ph14080707 ↗
6. Boosting magnetic resonance imaging signal-to-noise ratio using magnetic metamaterials10.1038/s42005-019-0135-7 ↗
7. Advantages of magnetic resonance imaging over computed tomography in preoperative evaluation of pediatric cochlear implant candidates10.1097/01.mao.0000185049.61770.da ↗
8. R. Wahab, F. Khan, A.A. Al-khedhairy, Hematite iron oxide nanoparticles: apoptosis of myoblast cancer cells and their arithmetical, (2018) 24750–24759. https://doi.org/10.1039/c8ra02613k.10.1039/C8RA02613K ↗
9. Biochemical and biophysical research communications magnetic nanoparticle-based drug delivery for cancer therapy10.1016/j.bbrc.2015.08.022 ↗
10. K. Kim, I. Kim, K. Yoon, J. Lee, J. Jang, e ffi cient photoelectrochemical water splitting †, (2015) 7706–7709. https://doi.org/10.1039/c5ta00027k.10.1039/C5TA00027K ↗
11. H. Katsuki, Role of ␣ -Fe 2 O 3 Morphology on the Color of Red Pigment for Porcelain, 85 (2003) 183–185.10.1111/j.1151-2916.2003.tb03300.x ↗
12. Sciencedirect the influence of morphology of hematite ( a -Fe 2 O 3) counter electrodes on the efficiency of dye-sensitized solar cells10.1016/j.solener.2015.06.039 ↗
13. T. Ma, L. Zheng, Y. Zhao, Y. Xu, J. Zhang, X. Liu, Highly Porous Double-Shelled Hollow Hematite Nanoparticles for Gas Sensing, (2019). https://doi.org/10.1021/acsanm.9b00228.10.1021/acsanm.9b00228 ↗
14. α -Fe 2 O 3 nanorods as anode material for lithium ion
15. RSC Advances performance to its nanomaterial building blocks †10.1039/C6RA16332G ↗
16. Rhombohedron and plate-like hematite (α-Fe2O3) nanoparticles: synthesis, structure, morphology, magnetic properties and potential biomedical applications for MRI10.1016/j.materresbull.2020.111055 ↗
17. Harnessing the biomedical properties of ferromagnetic α-Fe2O3 NPs with a plausible formation mechanism10.1016/j.ceramint.2020.07.117 ↗
18. Magnetic properties of mesoporous hematite / alumina nanocomposite and evaluation for biomedical applications
19. In vitro and in vivo MRI imaging and photothermal therapeutic properties of Hematite ( α -Fe 2 O 3)
20. Laser-triggered aggregated cubic α-Fe2O3@Au nanocomposites for magnetic resonance imaging and photothermal/enhanced radiation synergistic therapy10.1016/j.biomaterials.2019.119369 ↗
21. Gadolinium deposition in the brain: a systematic review of existing guidelines and policy statement issued by the canadian association of radiologists10.1016/j.carj.2018.04.002 ↗
22. High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadoliniumbased contrast material10.1148/radiol.13131669 ↗
23. M. Khalil, J. Yu, N. Liu, R.L. Lee, Hydrothermal synthesis, characterization, and growth mechanism of hematite nanoparticles, (2014). https://doi.org/10.1007/s11051–014-2362-x.10.1007/s11051-014-2362-x ↗
24. M. Iacob, Sonochemical synthesis of hematite nanoparticles, 10 (2015) 46–51.10.19261/cjm.2015.10(1).06 ↗
25. W. Wang, J.Y. Howe, B. Gu, Structure and Morphology Evolution of Hematite ( r -Fe 2 O 3) Nanoparticles in Forced Hydrolysis of Ferric Chloride, (2008) 9203–9208.10.1021/jp800683j ↗
26. Structural and optical properties of hematite and L-arginine/hematite nanostructures prepared by thermal spray pyrolysis
27. Structural, optical, magnetic and electrical properties of hematite (α-Fe2O3) nanoparticles synthesized by two methods: polyol and precipitation10.1007/s00339-017-1408-1 ↗
28. I. Mitar, L. Gu, A. Paut, A. Prki, Rapid Microwave Method for Synthesis of Iron Oxide Particles, (2021).10.3390/cryst11040383 ↗
29. L. Wang, J.J. Ã, Preparation of a -Fe 2 O 3 nanoparticles by high-energy ball milling, 390 (2007) 23–27. https://doi.org/10.1016/j.physb.2006.07.043.10.1016/j.physb.2006.07.043 ↗
30. Improved size, morphology and crystallinity of hematite (α-Fe2O3) nanoparticles synthesized via the precipitation route using ferric sulfate precursor10.1016/j.rinp.2019.01.005 ↗
31. Optimizing the biosynthesis parameters of iron oxide nanoparticles using central composite design
32. Control of the shape and size of iron oxide ( α -Fe2O3) nanoparticles synthesized through the chemical precipitation method To cite this version: HAL Id: hal-0231703810.1016/j.rinp.2017.07.066 ↗
33. Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis10.1007/s00170-004-2386-y ↗
34. Applying grey relational analysis to the decathlon evaluation model
35. Determination of optimum parameters with multi-performance characteristics in laser drilling-A grey relational analysis approach10.1007/s00170-010-2985-8 ↗
36. CFRP composite drilling through electrical discharge machining using aluminum as fixture plate10.1177/09544062211058675 ↗
37. Micro engraving on 316L stainless steel orthopedic implant using fiber laser10.1016/j.yofte.2021.102479 ↗
38. Soft computing
39. Machining process parameters optimization using soft computing technique10.1186/s44147-023-00174-z ↗
40. Particle swarm optimisation10.1007/978-3-030-61111-8_2 ↗
41. Heat induction of iron oxide nanoparticles with rational artificial neural network design-based particle swarm optimization for magnetic cancer hyperthermia10.1016/j.materresbull.2022.112035 ↗
42. Multi-objective optimization and prediction of surface roughness and printing time in FFF printed ABS polymer10.1038/s41598-022-20782-8 ↗
43. Adaptive particle swarm optimization approach for static and dynamic economic load dispatch10.1016/j.enconman.2007.12.023 ↗
44. A modified particle swarm optimizer algorithm
45. K. James, E. Russell, C., S. Yuhui, Swarm Intelligence Team LRN_ BOOK, 2001.
46. Unravelling the adsorption mechanism of phenol on zinc oxide at various coverages via statistical physics, artificial neural network modeling and ab initio molecular dynamics10.1016/j.cej.2022.139171 ↗
47. Forecasting the multicomponent adsorption of nimesulide and paracetamol through artificial neural network10.1016/j.cej.2020.127527 ↗
48. Photocatalytic degradation of ofloxacin antibiotic wastewater using TS-1/C3N4 composite photocatalyst: reaction performance optimisation and estimation of wastewater component synergistic effect by artificial neural network and genetic algorithm10.1016/j.cej.2022.136354 ↗
49. A comprehensive comparison of green Bi2WO6/g-C3N4 and Bi2WO6/TiO2 S-scheme heterojunctions for photocatalytic adsorption/degradation of Cefixime: artificial neural network, degradation pathway, and toxicity estimation10.1016/j.cej.2022.139067 ↗
50. Burda · Chem. Prop. Nanocrystals Differ. Shapes · 2005
51. Thanh · Mech. Nucleic Growth Nanopart. Solut. · 2014 · 3
52. Control of hematite nanoparticle size and shape by the chemical precipitation method10.1016/j.powtec.2013.08.042 ↗
53. Zhu · Hydrothermal Synth. Hematite Nanopart. Their Electrochem. Prop. · 2012
54. Effect of reaction temperature on crystallite size and sensing response of chromium oxide nanoparticles10.1016/j.materresbull.2012.03.065 ↗
55. Kalyani · Microw. Assist. Synth. Ferrite Nanopart.: Eff. React. Temp. Part. Size Magn. Prop. · 2015 · 5768
56. Park · Cellul. Cryst. Index.: Meas. Tech. their Impact Interpret. Cell. Perform. · 2010 · 1
57. Konjac Biomolecules Assisted – Rod / Spherical Shaped Lead Nano Powder Synthesized by Electrolytic Process and Its Characterization Studies
58. Journal of physics and chemistry of solids size tunable biosynthesis and luminescence quenching of nanostructured hematite ( α -Fe 2 O 3) for catalytic degradation of organic pollutants10.1016/j.jpcs.2018.09.026 ↗
59. Role of pH in the hydrothermal synthesis of phase pure alpha Bi 2 O 3 nanoparticles and its structural characterization
60. Sharliza · Var. Part. Size Pretreat. Temp. Cryst. Leucaena Leucocephala · 2016 · 03005 · 0
61. Preparation, characterisation and colloidal stability of chitosan- tripolyphosphate nanoparticles
62. Effect of the stirring rate on physical and electrochemical properties of LiMnPO 4 nanoplates prepared in a polyol process10.1016/j.ceramint.2013.11.131 ↗
63. M. Kurian, C. Kunjachan, Investigation of size dependency on lattice strain of nanoceria particles synthesised by wet chemical methods, (2014) 73–80. https://doi.org/10.1007/s40089–014-0122–7.10.1007/s40089-014-0122-7 ↗
64. C. Series, Dependence of lattice strain of magnetite nanoparticles on precipitation temperature and pH of solution Dependence of lattice strain of magnetite nanoparticles on precipitation temperature and pH of solution, (2017) 0–5.
65. C. Sridevi, Tuning the physio-chemical properties of ZnO nanoparticles through annealing process and their photocatalytic activity for dye degradation, (2021).10.21203/rs.3.rs-303830/v1 ↗
66. D. Kumar, M. Singh, A. Kumar, Crystallite Size Effect on Lattice Strain and Crystal Structure of Ba 1 / 4 Sr 3 / 4 MnO 3 Layered Perovskite Manganite, (n.d.) 10–13.
67. A. Miglio, C.P. Heinrich, W. Tremel, G. Hautier, W.G. Zeier, Local Bonding Influence on the Band Edge and Band Gap Formation in Quaternary Chalcopyrites, 1700080 (2017). https://doi.org/10.1002/advs.201700080.10.1002/advs.201700080 ↗
68. C. Bonds, 5. 1: Covalent Bond Formation and Strength Formation of Covalent Bonds What Are Covalent Bonds | Properties of … of …, (n.d.) 1–7.
69. Significance of thermal interfacing in hematite ( α -Fe 2 O 3) nanoparticles synthesized by sol-gel method and its characteristics properties
70. Simple one-step leaf extract-assisted preparation of α -Fe 2 O 3 nanoparticles
71. Structural, optical, magnetic and electrical properties of hematite ( α-Fe 2 O 3) nanoparticles synthesized by two methods: polyol and precipitation10.1007/s00339-017-1408-1 ↗
72. Williamson-Hall analysis in estimation of lattice strain in nanometer-sized ZnO particles10.1186/2251-7235-6-6 ↗
73. Improved electromagnetic interference shielding response of polyaniline containing magnetic nano-ferrites10.1007/s10948-019-05343-x ↗
74. Fabrication of highly stable Titania photoanode with enhanced photocurrent density10.1007/s00339-022-06198-1 ↗
75. Cyclic voltammetry response of TiO2 nanostructures prepared via fast and facile microwave irradiation10.1007/s12034-022-02703-7 ↗
76. Effect of concentration of Fe-dopant on the photoelectrochemical properties of Titania nanotube arrays10.1016/j.ceramint.2022.09.037 ↗
77. Influence of film thickness and annealing temperature on the structural and optical properties of ZnO thin films on Si (1 0 0) substrates grown by atomic layer deposition10.1016/j.spmi.2015.03.062 ↗
78. The calcination temperature dependence of microstructural, vibrational spectra and magnetic properties of nanocrystalline Mn0.5Zn0.5Fe2O410.1088/1742-6596/776/1/012021 ↗
79. Rietveld and impedance analysis of cold and hot rolled duplex and lean duplex steels for application in paper and pulp industry10.1590/1980-5373-mr-2016-0234 ↗
80. Synthesis, characterization and photocatalytic activity of α-Fe 2O 3 nanoparticles10.1016/j.poly.2011.11.017 ↗
81. Synthesis and characterization of MgFe2O4 nanoparticles and PEG-coated MgFe2O4 nanocomposite10.1016/j.jmrt.2022.03.117 ↗
82. Structural characterization and dielectric studies of superparamagnetic iron oxide nanoparticles10.4191/kcers.2018.55.3.02 ↗
83. The effect of calcination temperature on the structure and performance of nanocrystalline mayenite powders10.3390/ma12213476 ↗
84. Impacts of mesoporous silica nanoparticle size, pore ordering, and pore integrity on hemolytic activity10.1021/ja910846q ↗
85. Hydrothermal synthesis and characterization of monodisperse α-Fe2O3 nanoparticles10.1016/j.matlet.2009.09.054 ↗
86. Synthesis and size-dependent magnetic properties of single-crystalline hematite nanodiscs10.1016/j.jcrysgro.2011.05.030 ↗
87. Self-assembly of α-Fe 2O 3 mesocrystals with high coercivity10.1039/c2ra00796g ↗
88. Effect of calcination temperature on morphology and phase transformation of MnO2 nanoparticles: A step towards green synthesis for reactive dye adsorption10.1016/j.chemosphere.2021.132472 ↗
89. Preparation and characterization of hollow α-Fe2O 3 irregular microspheres10.1016/j.matlet.2010.08.028 ↗
90. Synthesis, photoluminescence and magnetic properties of iron oxide (α-Fe2O3) nanoparticles through precipitation or hydrothermal methods10.1016/j.physe.2018.04.009 ↗
91. Effects of sono-assisted modified precipitation on the crystallinity, size, morphology, and catalytic applications of hematite (α-Fe2O3) nanoparticles: a comparative study10.1016/j.ultsonch.2019.104713 ↗
92. Ayars · Raman Spectrosc. · 2000
93. Photoelectrochemical study of Ti3+ self-doped Titania nanotubes arrays: a comparative study between chemical and electrochemical reduction10.1016/j.cplett.2022.140219 ↗
94. M. Singh, M. Goyal, K. Devlal, Size and shape effects on the band gap of semiconductor compound nanomaterials, 3655 (2018). https://doi.org/10.1080/16583655.2018.1473946.10.1016/j.jtusci.2017.06.007 ↗
95. M. Singh, M. Goyal, K. Devlal, Size and shape effects on the band gap of semiconductor compound nanomaterials, Https://Doi.Org/10.1080/16583655.2018.1473946. 12 (2018) 470–475. https://doi.org/10.1080/16583655.2018.1473946.10.1080/16583655.2018.1473946 ↗
96. Wide band-gap oxide nanoparticles as potential drug carriers
97. Zinc oxide nanoparticles for selective destruction of tumor cells and potential for drug delivery applications10.1517/17425247.2010.502560 ↗
98. Magnetic nanomaterials for magnetically-aided drug delivery and hyperthermia10.3390/app9142927 ↗
99. Graphene-like metal-free 2D nanosheets for cancer imaging and theranostics10.1016/j.tibtech.2018.05.012 ↗
100. Synthesis of biogenic hematite (α-Fe2O3) nanoparticles for antibacterial and nanofluid applications10.1039/C6RA20240C ↗