Incorporation of low energy activated nitrogen onto HOPG surface: Chemical states and thermal stability studies by in-situ XPS and Raman spectroscopy

Chandran, Maneesh; Shasha, Michal; Michaelson, Sh.; Hoffman, A.

doi:10.1016/j.apsusc.2016.04.030

Cited by 11 publications

(4 citation statements)

References 47 publications

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“…The N 1s XPS spectrum of the AC@GFF synthesized with 0.8 g of KOH is shown in Figure a. Referring to the assignment of bonding configurations of the N 1s components in the literature, three different N 1s chemical components (denoted hereafter as N 1 , N 2 , and N 3 ) located at 398.4 (N 1 ), 400.1 (N 2 ), and 401.3 eV (N 3 ) are identified in the sample, suggesting the existence of at least three different N–C bonding environments . The N 1 component (398.50 eV) is one of the major components of the N 1s peaks.…”

Section: Resultsmentioning

confidence: 94%

“…Referring to the assignment of bonding configurations of the N 1s components in the literature, 42 three different N 1s chemical components (denoted hereafter as N 1 , N 2 , and N 3 ) located at 398.4 (N 1 ), 400.1 (N 2 ), and 401.3 eV (N 3 ) are identified in the sample, suggesting the existence of at least three different N−C bonding environments. 43 The N 1 component (398.50 eV) is one of the major components of the N 1s peaks. It is correspondent to C-NH 2 and CN−C type chemical environment, where sp 2 N is bonded to two sp 2 carbons as in pyridine (nitrogen atom contributing one p-electron to the π system).…”

Section: ■ Results and Discussionmentioning

confidence: 99%

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Waste Glass Fiber Fabric as a Support for Facile Synthesis of Microporous Carbon To Adsorb Cr(VI) from Wastewater

Huang

Mishra

Liu

2017

ACS Sustainable Chem. Eng.

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Activated carbon coated glass fiber fabric (AC@GFF) was successfully synthesized by the carbonization of polyvinylpyrrolidone with the assistance of KOH onto waste glass fiber fabric (GFF). The samples were characterized by XRD, SEM, N 2 -sorption, FTIR, XPS, TG, and DSC measurements. It is shown that KOH not only acted as an activator during the carbonization process but also facilitated the adherence of PVP onto the surface of the glass fibers by increasing the viscosity of the PVP precursor solutions. The prepared AC@GFF was applied to uptake Cr(VI) from synthetic wastewater, and the factors such as the pH, initial concentration of adsorbate, contact time, and adsorption temperature influencing the adsorption of the Cr(VI) were investigated. The adsorption data were fitted with the isotherm and kinetic models. The adsorption of metal ions by the AC@GFF from a real metal passivation wastewater proved that the synthesized adsorbent was highly selective to Cr(VI) against its inferring Zn(II). The spent adsorbent together with the adsorbed Cr ions was used as an effective glass colorant. The method provided a sustainable entrapment of toxic chromium ions in a glass matrix to produce a color glass, eliminating pollutions from the Cr(VI), waste GFF, and spent adsorbent.

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Section: Resultsmentioning

confidence: 94%

Section: ■ Results and Discussionmentioning

confidence: 99%

Waste Glass Fiber Fabric as a Support for Facile Synthesis of Microporous Carbon To Adsorb Cr(VI) from Wastewater

Huang

Mishra

Liu

2017

ACS Sustainable Chem. Eng.

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“…The testing dataset for HOPG, 30–51 GC, 30,44,52–74 and DLC 15,30–32,75–91 were obtained from the literature. A web tool (WebPlotDigitizer) was used to extract the data points from the Raman spectra in the interval between 1050 and 1800 cm −1 from the literature data 92…”

Section: Experimental Partmentioning

confidence: 99%

A machine learning approach for the automated classification of bulk sp² and sp³ carbon materials

daFonseca,

Thind,

Booth

et al. 2023

J Raman Spectroscopy

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Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to classify different types of carbon material based on their Raman spectra. The selected reference materials were highly oriented pyrolytic graphite (HOPG), diamond‐like carbon (DLC), glassy carbon (GC), hydrogenated graphite‐like carbon (GLCH), and hydrogenated polymer‐like carbon (PLCH). These materials vary in crystallinity, predominant carbon hybridization, and hydrogen content. The training dataset was Raman spectra collected from commercial samples (HOPG, DLC, GC) and samples synthesized in our laboratory (GLCH, PLCH). The Raman spectra were collected using 532 nm laser excitation. The classification model revealed that the first principal component (PC1) was the determinant source of information to separate the crystalline from the amorphous carbon samples. PC2 allowed the separation of amorphous material with different levels of hybridization (sp2 and sp3). Finally, both PC2 and PC3 contributed to separate materials with different levels of hydrogenation. The classification model was tested using a library of Raman spectra of carbon materials reported in the literature, and the results showed a high accuracy prediction (97%). The model presented here provides an avenue for automated classification of carbon materials using Raman spectroscopy and machine learning.

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“…The qualitative chemical compositions of the PyG surface before and after molten salt exposure for 2000 h were determined by XPS analysis. It is evident from the XPS survey spectra shown in Figure 6(a) for the as-received PyG that the major intense peak was from C 1s and minor peaks corresponding to Si-2p, 2s, Ca-2p and Na-1s were observed as surface contaminant [37]. The low-intensity peak corresponding to O-1s was observed at the binding energy value of 533.2 eV revealed that the O is bonded to Si in the form of SiO 2 [38].…”

Section: X-ray Photoelectron Spectroscopymentioning

confidence: 99%

Corrosion resistance of pyrolytic graphite in LiCl-KCl-UCl₃molten salt for pyrochemical reprocessing application

Madhura

Rao

Vetrivendan

et al. 2017

Corrosion Engineering, Science and Technology

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Pyrolytic graphite (PyG) is a highly oriented, dense and crystalline form of graphite, which exhibits superior air oxidation resistance, corrosion resistance, and favourable mechanical, thermal, and electrical properties compared to conventional graphite materials. It is proposed as the material of construction for high-temperature molten LiCl-KCl for pyrochemical reprocessing of metallic fuel. In the present study, long-term corrosion behaviour of PyG in LiCl-KCl molten salt with 5 wt-% UCl 3 was evaluated by immersion studies at 873 K for 2000 h, under inert argon atmosphere. Characterisation of PyG before and after molten salt exposure was carried out using X-ray diffraction technique, scanning electron microscope with energy dispersive spectroscopy, laser Raman spectroscopy and X-ray photo-electron spectroscopy. The results revealed the superior corrosion resistance and excellent phase stability of PyG with negligible weight change and no appreciable change in the surface chemistry and morphology up to the exposure time of 2000 h.

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Incorporation of low energy activated nitrogen onto HOPG surface: Chemical states and thermal stability studies by in-situ XPS and Raman spectroscopy

Cited by 11 publications

References 47 publications

Waste Glass Fiber Fabric as a Support for Facile Synthesis of Microporous Carbon To Adsorb Cr(VI) from Wastewater

Waste Glass Fiber Fabric as a Support for Facile Synthesis of Microporous Carbon To Adsorb Cr(VI) from Wastewater

A machine learning approach for the automated classification of bulk sp² and sp³ carbon materials

Corrosion resistance of pyrolytic graphite in LiCl-KCl-UCl₃molten salt for pyrochemical reprocessing application

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Incorporation of low energy activated nitrogen onto HOPG surface: Chemical states and thermal stability studies by in-situ XPS and Raman spectroscopy

Cited by 11 publications

References 47 publications

Waste Glass Fiber Fabric as a Support for Facile Synthesis of Microporous Carbon To Adsorb Cr(VI) from Wastewater

Waste Glass Fiber Fabric as a Support for Facile Synthesis of Microporous Carbon To Adsorb Cr(VI) from Wastewater

A machine learning approach for the automated classification of bulk sp2 and sp3 carbon materials

Corrosion resistance of pyrolytic graphite in LiCl-KCl-UCl3molten salt for pyrochemical reprocessing application

Contact Info

Product

Resources

About

A machine learning approach for the automated classification of bulk sp² and sp³ carbon materials

Corrosion resistance of pyrolytic graphite in LiCl-KCl-UCl₃molten salt for pyrochemical reprocessing application