Two-dimensional layered reduced graphene oxide-tungsten disulphide nanocomposite for highly sensitive and selective determination of para nitrophenol

Singh, Dalwinder; Kalia, Shiwani; Kumar, Rajesh; Thakur, Nagesh; Singh, Rajesh Kumar

doi:10.1016/j.enmm.2022.100724

Cited by 11 publications

(4 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These values indicate the exceptional sensitivity of the MIP@MnO:CNT in detecting P-NP, as compared to other reported sensor systems for P-NP monitoring. We compared our obtained values with already reported data (Table 1) [41][42][43][44][46][47][48][49]. This showed satisfactory performance of our designed sensor, where analytical values are significant in comparison of other techniques.…”

Section: Sensor Investigationsupporting

confidence: 63%

“…for P-NP monitoring utilizing assorted nanomaterials. Among them include MOF-derived Co@N-doped CNT nanocomposites [39], hierarchical MnO 2 enveloped MWCNTs [40] and graphene oxide based tungsten disulphide nanocomposite [41], etc. All techniques execute their own merits and challenges, however, in our efforts to develop an advanced and sensitive platform, we assembled MnO nanowires (NWs) with CNTs to obtain a composite mesh network.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A mesh network of MnO nanowires and CNTs reinforced by molecularly imprinted structures for the selective detection of para-nitrophenol

Tehseen

Rehman

Schirhagl

et al. 2023

Journal of Materials Research

View full text Add to dashboard Cite

Advanced material architecture can be used to develop tailor-made interfaces for innovative and selective sensor platforms. An intricate mesh structure of manganese oxide nanowires and carbon nanotubes was synthesized. Further, the mesh was strengthened by a molecularly imprinted network to generate template cavities and impart selective recognition. Termed as MIP@MnO:CNT, this mesh structure was used as the receptor interface for microarray transducers. The unique hybrid composition and morphology enhanced binding performance for detection of para-nitrophenol (P-NP), an important pollutant. The sensor showed exceptional sensitivity towards P-NP monitoring with a limit of detection of 3 nM (S/N = 3). Benefitted from the imprinting strategy, the designed sensor exhibited 85-99% selectivity when compared to other aromatic compounds. Moreover, the designed interface was able to detect P-NP in water samples. As demonstrated in this study, other chemical compositions and morphology of multidimensional materials can be crafted for the improved and specific detection of analytes.

show abstract

Section: Sensor Investigationsupporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

A mesh network of MnO nanowires and CNTs reinforced by molecularly imprinted structures for the selective detection of para-nitrophenol

Tehseen

Rehman

Schirhagl

et al. 2023

Journal of Materials Research

View full text Add to dashboard Cite

show abstract

“…Graphene is the world’s thinnest two-dimensional carbon material with a honeycomb-like pattern. − It is one of the most exciting materials, and many aspects of its potential applications are explored in diverse fields such as electronics, smart coatings, sensing, energy management systems, photonics, and biomedicine with drug delivery. − Moreover, since graphene was first isolated in 2004, it has shown outstanding physical properties that make it a hot spot in research. For instance, the unique energy band structure, ultrathin body, and high electron mobility of graphene contribute to its appeal and make it the material of the future .…”

Section: Introductionmentioning

confidence: 99%

Geminal Dicationic Ionic Liquids (GDILs) and Their Adsorption on Graphene Nanoflakes

Shakourian-Fard,

Ghenaatian,

Kamath

2024

ACS Omega

View full text Add to dashboard Cite

In this work, the configuration and stability of 15 geminal dicationic ionic liquids (GDILs) and their adsorption mechanism on the graphene nanoflake (GNF) are investigated using the density functional theory (DFT) method. We find that the interactions of dications ([DAm] + , [DIm] + , [DImDm] + , [DPy] + , and [DPyrr] + )) are stabilized near the anions ([BF 4 ] − , [PF 6 ] − , and [Tf 2 N] − ) in the most stable configurations of GDILs through electrostatic interactions, van der Waals (vdW) interactions, and hydrogen bonding (H-bonding). Our calculations show that the adsorption of the GDILs on the GNF is consistent with the charge transfer and occurs via Xleading to a decrease in the strength of the intermolecular interactions between the dications and anions in the GDILs. The thermochemistry calculations reveal that the formation of GDIL@GNF complexes is an exothermic and favorable reaction. The adsorption energy (E ads ) calculations show that the highest E ads values for the interaction of GDILs containing [BF 4 ] − , [PF 6 ] − , and [Tf 2 N] − anions with the GNF are observed for the [DPy][BF 4 ]@GNF (−23.56 kcal/mol), [DPy][PF 6 ]@GNF (−29.29 kcal/mol), and [DPyrr][Tf 2 N]@GNF (−24.74 kcal/mol) complexes, respectively. Our results show that the adsorption of the GDILs on the GNF leads to the decrease of the chemical potential (μ), chemical hardness (η), and HOMO−LUMO energy gap (E g ) values and an increase in the electrophilicity index (ω) value of the GNF. In addition, the effect of GDIL adsorption on the UV−vis absorption spectrum was studied at the TD-M06-2X/cc-pVDZ level of theory. We find that the adsorption of GDILs results in minimal change in the shape of the main absorption peak (at λ = 363 nm) in the GNF spectrum and only shifts it to higher wavelengths. On the other hand, a new peak appears in the GNF spectrum upon adsorption of [DPy][Y] (Y = [BF 4 ] − , [PF 6 ] − , and [Tf 2 N] − ) due to the relatively strong π•••π interactions between the [DPy] + dication and GNF. Finally, the transition density matrix (TDM) heat maps show that electron transfers related to the excitation states in the GDIL@GNF complexes occur mainly through π(C�C) → π*(C�C) transitions in the GNF and the transitions from [DPy] + dication to the GNF.

show abstract

“…8 Various kinds of nanomaterials (0D-3D) have been utilized to enhance the sensor selectivity, sensitivity and limit of detection amongst various metrics. With the incorporation of these nanostructures into electrochemical, 9,10 optical spectroscopy, high-performance liquid chromatography (HPLC) and gas/liquid chromatography-mass spectrometry (GC-MS) techniques, the analytical features of these techniques are greatly improved. 11 For instance, in a report rGO nanosheets were decorated with Pd NPs by utilizing microwave-assisted in situ reduction and exfoliation methods in order to examine their hydrogen detection ability under various conditions.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of molybdenum nanoclusters from Vitex negundo leaves for sensing epinephrine in a pharmaceutical composition

et al. 2023

View full text Add to dashboard Cite

show abstract

Two-dimensional layered reduced graphene oxide-tungsten disulphide nanocomposite for highly sensitive and selective determination of para nitrophenol

Cited by 11 publications

References 54 publications

A mesh network of MnO nanowires and CNTs reinforced by molecularly imprinted structures for the selective detection of para-nitrophenol

A mesh network of MnO nanowires and CNTs reinforced by molecularly imprinted structures for the selective detection of para-nitrophenol

Geminal Dicationic Ionic Liquids (GDILs) and Their Adsorption on Graphene Nanoflakes

Synthesis of molybdenum nanoclusters from Vitex negundo leaves for sensing epinephrine in a pharmaceutical composition

Contact Info

Product

Resources

About