Title |
Proton‐Functionalized Two‐Dimensional Graphitic Carbon Nitride Nanosheet: An Excellent Metal‐/Label‐Free Biosensing Platform
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Published in |
Small, March 2014
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DOI | 10.1002/smll.201303827 |
Pubmed ID | |
Authors |
Tian Yi, Youhong Tang, Sheng Dai, Shi Zhang Qiao |
Abstract |
Ultrathin graphitic carbon nitride (g-C3 N4 ) nanosheets, due to their interesting two-dimensional graphene-like structure and unique physicochemical properties, have attracted great research attention recently. Here, we develop a new approach to prepare, for the first time, proton-functionalized ultrathin g-C3 N4 nanosheets by sonication-exfoliation of bulk g-C3 N4 under an acid condition. This method not only reduces the exfoliation time from more than 10 h to 2 h, but also endows the nanosheets with positive charges. Besides retaining the properties of g-C3 N4 , the obtained nanosheets with the thickness of 2-4 nm (i.e. 6-12 atomic monolayers) also exhibit large specific surface area of 305 m(2) g(-1) , enhanced fluorescence intensity, and excellent water dispersion stability due to their surface protonation and ultrathin morphology. The well-dispersed protonated g-C3 N4 nanosheets are able to interact with negatively charged heparin, which results in the quenching of g-C3 N4 fluorescence. A highly sensitive and highly selective heparin sensing platform based on protonated g-C3 N4 nanosheets is established. This metal-free and fluorophore label-free system can reach the lowest heparin detection limit of 18 ng mL(-1) . |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 201 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 47 | 23% |
Student > Master | 25 | 12% |
Researcher | 11 | 5% |
Student > Bachelor | 11 | 5% |
Other | 7 | 3% |
Other | 28 | 14% |
Unknown | 72 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 55 | 27% |
Materials Science | 18 | 9% |
Chemical Engineering | 11 | 5% |
Physics and Astronomy | 10 | 5% |
Engineering | 10 | 5% |
Other | 10 | 5% |
Unknown | 87 | 43% |