2019
DOI: 10.1002/pssa.201900279
|View full text |Cite
|
Sign up to set email alerts
|

Tailoring of Double‐Walled Carbon Nanotubes for Formaldehyde Sensing through Encapsulation of Selected Materials

Abstract: Tailoring carbon nanomaterials for specific applications is of great importance in the quest to improve the properties of these materials, increasing their functionalities. Using a simple and easy to apply technique, zinc, zinc oxide, and iodine are encapsulated and confined within double‐walled carbon nanotubes (DWNTs) whose internal diameter ranges from 1.2 to 2.5 nm. The simultaneous confinement of zinc and iodine is shown to improve the sensitivity by 100 times while, at the same time, enhancing the select… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 9 publications
(11 citation statements)
references
References 29 publications
0
11
0
Order By: Relevance
“…21 In addition, Chimowa et al tested encapsulated zinc, zinc oxide, and iodine within double-walled carbon nanotubes (CNTs) for detection of various mass concentrations of formaldehyde ranging from 1.8 to 4%. 22 In this research, we selected ZIF-8 as an acceptable sensing material for sensing formaldehyde based on the literature. However, it should be used in a composite form with some conductive or semiconductive material.…”
Section: ■ Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…21 In addition, Chimowa et al tested encapsulated zinc, zinc oxide, and iodine within double-walled carbon nanotubes (CNTs) for detection of various mass concentrations of formaldehyde ranging from 1.8 to 4%. 22 In this research, we selected ZIF-8 as an acceptable sensing material for sensing formaldehyde based on the literature. However, it should be used in a composite form with some conductive or semiconductive material.…”
Section: ■ Introductionmentioning
confidence: 99%
“…For example, Jia et al fabricated a formaldehyde sensor by ZnSnO 3 , which could detect formaldehyde at a concentration range of 5–100 ppm; however, the working temperature for this sensor was higher than 200 °C . In addition, Chimowa et al tested encapsulated zinc, zinc oxide, and iodine within double-walled carbon nanotubes (CNTs) for detection of various mass concentrations of formaldehyde ranging from 1.8 to 4% …”
Section: Introductionmentioning
confidence: 99%
“…Yang et al further studied the temperature-dependent charge transport characteristics of Dy@C 82 peapods FET. A transition from p-type to n-type conduction has been observed as the temperature decreases from room temperature to 265 K, indicating that charge transfers from the Dy@C 82 to the conductance band of carbon nanotubes at low temperatures [Figure 9E] [23] . At a temperature lower than 215 K, metallic behavior occurred, suggesting that additional electrons are continuously injected into the conductance band, shifting the Fermi level into the conduction band.…”
Section: Nanoelectronicsmentioning
confidence: 99%
“…For weakly interacting heterostructure systems, although the electron transfer is hindered, the radial vibrations of the carbon nanotubes are suppressed, causing them to deform [22] . The single CNT in discrete-filled heterostructure systems would split into a series of quantum dots [23] . Therefore, CNTs can be designed with the help of filling for particular applications, such as sensors [24] , p-n junctions [25] , transistors [26] and so forth.…”
Section: Introductionmentioning
confidence: 99%
“…There are biosensors based on pristine and functionalized SWCNTs for different biomolecules [167][168][169]. In Reference [170], double-walled carbon nanotubes (DWCNTs) filled with zinc iodide were employed as sensors for formaldehyde. This study proved that the sensitivity and selectivity of the sensors can be tunedfor better performance by filling the DWCNT.…”
Section: Overview Of Reportsmentioning
confidence: 99%