S,N co-doped graphene quantum dots-induced ascorbic acid fluorescent sensor: Design, characterization and performance
| Autor: | Mohammad Hassanpour, Hossein Moayedi, Mokhtar Panahi-Kalamuei, Omid Amiri, Masoud Salavati-Niasari, Hossein Safardoust-Hojaghan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Materials science
Photoluminescence Nitrogen Ascorbic Acid 01 natural sciences Analytical Chemistry law.invention chemistry.chemical_compound 0404 agricultural biotechnology law Limit of Detection Quantum Dots Detection limit Graphene 010401 analytical chemistry 04 agricultural and veterinary sciences General Medicine Ascorbic acid 040401 food science Fluorescence 0104 chemical sciences Nanostructures Spectrometry Fluorescence Thiourea chemistry Quantum dot Graphite Luminescence Sulfur Food Science Nuclear chemistry |
| Zdroj: | Food chemistry. 295 |
| ISSN: | 1873-7072 |
| Popis: | In this work, new detection route for ascorbic acid was designed. First, highly luminescent sulfur and nitrogen doped graphene quantum dots (S,N-GQDs) were prepared via simple hydrothermal method using citric acid and thiourea as the C, N and S sources respectively. The prepared S,N-GQDs are characterized by XRD, HRTEM, FTIR, EDS and PL. Investigations showed that prepared S,N-GQDs have a good photostability and excitation-dependent emission fluorescence. Prepared S,N-GQDs showed maximum excitation wavelength and emission wavelength at 400 and 462 nm, respectively. In the following, prepared S,N-GQDs were applied as a photoluminescence probe for detection of ascorbic acid (AA). The designed sensor was based on “off-on” detection mode. The developed sensor had a linear response to AA over a concentration range of 10–500 μM with a detection limit of 1.2 μM. The regression equation is Y = 0.0014 X + 1.2036, where Y and X denote the fluorescence peak intensity and AA concentration, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect