Fast dopamine detection based on evanescent wave detection platform
A compact evanescent wave detection platform (EWDP) is developed for the detection of fluorescence gold nanoclusters. The EWDP employs a simple optical system and a Si-based photodetector SOP-1000 assembly to improve the optical efficiency and detection sensitivity. A microfluidic sample cell is als...
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Published in | Analytica chimica acta Vol. 1191; p. 339312 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
25.01.2022
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Subjects | |
Online Access | Get full text |
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Summary: | A compact evanescent wave detection platform (EWDP) is developed for the detection of fluorescence gold nanoclusters. The EWDP employs a simple optical system and a Si-based photodetector SOP-1000 assembly to improve the optical efficiency and detection sensitivity. A microfluidic sample cell is also used to decrease the amount of analyte to 200 μL (The volume of sample cell is really about 30 μL). On this basis, we design a strategy for detecting dopamine (DA) based on the photoinduced electron transfer (PET) quenching mechanism. By introduction of tyrosinase (TYR) during the detection, the testing time is shortened to 1 min. The fluorescence emission signal decreased dramatically and the quenching ratio (F0–F)/F0 is linearly related to the concentration of DA in the range of 0.03–60 μM with a detection limit of 0.03 μM. Additionally, this detection platform has potential applications for DA fast detection in the microsamples.
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•A novel platform is built for detection of dopamine (DA) based on evanescent wave.•The volume of sample for detection only needs 200 μL totally.•The reaction time shorten to 1 min under the catalysis of tyrosinase.•Conditions were optimized to get excellent comprehensive property and recoveries.•It was proved that the quenching was caused by photoinduced electron transfer. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0003-2670 1873-4324 |
DOI: | 10.1016/j.aca.2021.339312 |