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Green synthesis of carbon quantum dots from purslane leaves for the detection of formaldehyde using quartz crystal microbalance
- Source :
- Carbon. 179:159-171
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Carbon quantum dots (CQDs) were synthesized by using a facile one–step hydrothermal treatment of purslane leaves in a green and economical approach. The optical and structural properties of the CQDs have been studied by using many analytical techniques. The research interest in studying the sensing properties of CQDs is based on their good properties in addition to the combination of the developed graphitic carbon and the active functional groups that present in CQDs, which collectively can lead to the detection of some analytes with good sensitivity. The results of the CQDs–based sensor, using the quartz crystal microbalance (QCM) technique, show a good detection sensitivity toward volatile hazardous formaldehyde. The QCM sensor shows the high impact of the oxygen functionalities of CQDs as sensing antennae on the good sensitivity of volatile formaldehyde via enhanced chemisorption as compared to alcohols. Based on calibration graphs of frequency shift against the vapor concentration, the linear increase of CQDs sensor responses with the increased injection of chemical vapor concentration with a high sensitivity allows CQDs to be used for the detection of formaldehyde vapors. The fabricated QCM sensor exhibits a good reproducibility and reversibility. The kinetics of formaldehyde sensing compared to other analytes vapors were discussed.
- Subjects :
- Analyte
Materials science
Kinetics
Formaldehyde
chemistry.chemical_element
Frequency shift
02 engineering and technology
General Chemistry
Quartz crystal microbalance
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Oxygen
0104 chemical sciences
chemistry.chemical_compound
chemistry
Chemical engineering
Chemisorption
Carbon quantum dots
General Materials Science
0210 nano-technology
Subjects
Details
- ISSN :
- 00086223
- Volume :
- 179
- Database :
- OpenAIRE
- Journal :
- Carbon
- Accession number :
- edsair.doi...........7c0bdca4437ac9d554fb8b5ef7bd6417
- Full Text :
- https://doi.org/10.1016/j.carbon.2021.03.047