An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH<sub>3</sub> gas sensor applications

Akbari, Elnaz; Arora, Vijay K.; Enzevaee, Aria; Ahmadi, Mohammad Taghi; Saeidmanesh, Mehdi; Khaledian, Mohsen; Karimi, Hamid; Yusof, Rubiya

doi:10.3762/bjnano.5.85

Cited by 23 publications

(13 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When combined with non‐equilibrium Arora distribution function (NEADF) as used for graphene , and CNT it can make predictions for both ballistic and quantum transport . Similarly, transformation to bilayer GNR and application to gas sensors can proceed on those lines . Both CNTs and GNRs are also expected to find applications in sensor technology .…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Unified bandgap engineering of graphene nanoribbons

Arora

Bhattacharyya

2014

Physica Status Solidi (b)

View full text Add to dashboard Cite

Unified bandgap engineering, valid both for the armchair and zigzag graphene nanoribbons (GNRs), is enunciated. Using the boundary condition appropriate for K-K 0 points of the Dirac cones, GNRs are shown to exhibit three distinct semiconducting states SC0, SC1, and SC2 with complete absence of metallic state. The experimental bandgap for 7-AGNR and 13-AGNR armchair (A) is found to be in excellent agreement with SC1 state. Similar associations are pointed out for other configurations. Both the experimental data and theoretical results show bandgap and effective mass inversely proportional to the GNR width. The effective mass is directly proportional to the bandgap. The indexing scheme connects chiral index of carbon nanotubes (CNTs) to that used for GNR by making edge corrections for the dangling bonds.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Similarly, transformation to bilayer GNR and application to gas sensors can proceed on those lines . Both CNTs and GNRs are also expected to find applications in sensor technology . Complete landscape of graphene folding into CNT and GNR is described in the forthcoming book .…”

Section: Discussionmentioning

confidence: 99%

Unified bandgap engineering of graphene nanoribbons

Arora

Bhattacharyya

2014

Physica Status Solidi (b)

View full text Add to dashboard Cite

show abstract

“…In this model, the gate voltage changes while the channel is exposed to gas. 68,69 It can be seen clearly that by increasing the temperature, the current value increases too. The performance of the GNSbased gas sensor is evaluated by the current-voltage characteristics before exposure to the gas and aer exposure to NH 3 gas.…”

Section: Proposed Modelmentioning

confidence: 94%

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

et al. 2015

Self Cite

View full text Add to dashboard Cite

Graphene nanoscrolls (GNSs) as a new category of quasi one dimensional (1D) materials belong to the carbon-based nanomaterials, which have recently captivated the attention of researchers. The latest discoveries of the outstanding characteristics of GNSs in terms of their structural and electronic properties such as, high mobility, controllable band gap, tunable core size, high mechanical strength, high sensing capability and large surface-to-volume ratio make them a great candidate for nanoelectronic devices in future work. Due to the importance and critical role of nanoscale sensors and biosensors in medical facilities and human life, using promising materials like graphene and graphene nanoscrolls has widely attracted the interest and attention of researchers to achieve better accuracy and sensitivity in these devices. Up until now, the majority of surveys conducted previously have focused on experimental studies for sensors. Therefore, there is a lack of analytical models in comparison to experimental surveys. In order to start and understand the modeling of gas sensor structure, the field effect transistor (FET)-based structure has been employed as a basic model for a gas detection sensor.The graphene nanoscroll conductance has been affected under exposure to the NH 3 gas molecules. The adsorption of NH 3 gas concentration on the GNSs surface which is caused by a chemical reaction between NH 3 and the GNSs. Therefore it makes the changes in the GNS conductance and currentvoltage characteristics of the proposed GNS based gas sensor. This phenomenon is considered as the sensing mechanism with proposed sensing parameters. The I-V characteristics of a GNS-based sensor have been proposed as a criterion to detect the effect of gas adsorption. Finally, in order to verify the accuracy of the proposed model, the results are compared with the existing experimental works.

show abstract

“…The p-and n-type semiconducting behavior can be detected by applying and modulating gate voltage. Among all gas molecules considered, the absorption of the NH 3 molecule can enhance conductance [46]. In the case of CO and NO molecules, the charge transfer towards graphene is observed, thus the conductivity of the sensor is increased [47].…”

Section: Sensors Based On Graphene and Graphene Oxidesmentioning

confidence: 99%

Electronic Nose: Recent Developments in Gas Sensing and Molecular Mechanisms of Graphene Detection and Other Materials

et al. 2019

View full text Add to dashboard Cite

The aim of the study was to present the possibility of the sensitivity improvement of the electronic nose (e-nose) and to summarize the detection mechanisms of trace gas concentrations. Our main area of interest is graphene, however, for the better understanding of the sensing mechanisms, it is crucial to review other sensors of similar functions. On the basis of our previous research, we explained the detection mechanism which may stay behind the graphene sensor’s sensitivity improvement. We proposed a qualitative interpretation of detection mechanisms in graphene based on the theory regarding the influence of metals and substituents on the electronic systems of carbon rings and heterocyclic aromatic ligands. The analysis of detection mechanisms suggests that an increase of the electronic density in graphene by attaching a substituent and stabilization of electronic charge distribution leads to the increase of graphene sensor conductivity. The complexation of porphyrins with selected metals stabilizes the electronic system and increases the sensitivity and selectivity of porphyrin-based sensors. Our research summary and proposed conclusions allow us to better understand the mechanisms of a radical change of graphene conductivity in the presence of trace amounts of various gases.

show abstract

An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH₃ gas sensor applications

Cited by 23 publications

References 51 publications

Unified bandgap engineering of graphene nanoribbons

Unified bandgap engineering of graphene nanoribbons

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

Electronic Nose: Recent Developments in Gas Sensing and Molecular Mechanisms of Graphene Detection and Other Materials

Contact Info

Product

Resources

About

An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH3 gas sensor applications

Cited by 23 publications

References 51 publications

Unified bandgap engineering of graphene nanoribbons

Unified bandgap engineering of graphene nanoribbons

Analytical modeling of the sensing parameters for graphene nanoscroll-based gas sensors

Electronic Nose: Recent Developments in Gas Sensing and Molecular Mechanisms of Graphene Detection and Other Materials

Contact Info

Product

Resources

About

An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH₃ gas sensor applications