Experimental Methodologies for the Characterization of Nanoparticles

Singh, Ashok K.

doi:10.1016/b978-0-12-801406-6.00004-2

Cited by 33 publications

(12 citation statements)

References 264 publications

(173 reference statements)

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“…Although several primary elements, such as carbon, oxygen, were acquired throughout the measurements, only silicon is shown as its presence conrms the presence and distribution of PDMS across the fabric samples. [56][57][58] Signal of silicon on the fabric surface appears to be weak, in comparison to the positive control (data not shown), which is consistent with the uorescence micrographs.…”

Section: Resultssupporting

confidence: 83%

Modulating the surface and mechanical properties of textile by oil-in-water emulsion design

et al. 2022

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Section: Resultssupporting

confidence: 83%

Modulating the surface and mechanical properties of textile by oil-in-water emulsion design

et al. 2022

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“…X-ray diffraction (XRD) is used for structural characterization, such as structural determination, shape, and size [110,144]. Magnetic force microscopy (MFM) is used for the investigation of the magnetic behaviour with high spatial resolution for static magnetic fields [143,145,146].…”

Section: Molecularmentioning

confidence: 99%

Heavy Metal Adsorption Using Magnetic Nanoparticles for Water Purification: A Critical Review

et al. 2021

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Research on contamination of groundwater and drinking water is of major importance. Due to the rapid and significant progress in the last decade in nanotechnology and its potential applications to water purification, such as adsorption of heavy metal ion from contaminated water, a wide number of articles have been published. An evaluating frame of the main findings of recent research on heavy metal removal using magnetic nanoparticles, with emphasis on water quality and method applicability, is presented. A large number of articles have been studied with a focus on the synthesis and characterization procedures for bare and modified magnetic nanoparticles as well as on their adsorption capacity and the corresponding desorption process of the methods are presented. The present review analysis shows that the experimental procedures demonstrate high adsorption capacity for pollutants from aquatic solutions. Moreover, reuse of the employed nanoparticles up to five times leads to an efficiency up to 90%. We must mention also that in some rare occasions, nanoparticles have been reused up to 22 times.

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“…The microscopy images contain abundant information about the sample, because the brightness of a specific point depends on the spatial structure and physical properties 2 . Metal nanoparticles are particularly well detectable using electron microscopy 3 .…”

Section: Background and Summarymentioning

confidence: 99%

Electron microscopy dataset for the recognition of nanoscale ordering effects and location of nanoparticles

et al. 2020

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A unique ordering effect has been observed in functional catalytic nanoscale materials. Instead of randomly arranged binding to the catalyst surface, metal nanoparticles show spatially ordered behavior resulting in formation of geometrical patterns. Understanding of such nanoscale materials and analysis of corresponding microscopy images will never be comprehensive without appropriate reference datasets. Here we describe the first dataset of electron microscopy images comprising individual nanoparticles which undergo ordering on a surface towards the formation of geometrical patterns. The dataset developed in this study spans three levels of nanoscale organization: (i) individual nanoparticles (1-5 nm) and arrays of nanoparticles (5-20 nm), (ii) ordering effects (20-200 nm) and (iii) complex patterns (from nm to μm scales). The described dataset for the first time provides a possibility for the development of machine learning algorithms to study the unique phenomena of nanoparticles ordering and hierarchical organization.

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Experimental Methodologies for the Characterization of Nanoparticles

Cited by 33 publications

References 264 publications

Modulating the surface and mechanical properties of textile by oil-in-water emulsion design

Modulating the surface and mechanical properties of textile by oil-in-water emulsion design

Heavy Metal Adsorption Using Magnetic Nanoparticles for Water Purification: A Critical Review

Electron microscopy dataset for the recognition of nanoscale ordering effects and location of nanoparticles

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