| Title |
Graphene oxide for solid-phase extraction of bioactive phenolic acids
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, April 2017
|
| DOI | 10.1007/s00216-017-0291-0 |
| Pubmed ID | |
| Authors |
Xiudan Hou, Xusheng Wang, Yingxin Sun, Licheng Wang, Yong Guo |
| Abstract |
A solid-phase extraction (SPE) method for the efficient analysis of trace phenolic acids (PAs, caffeic acid, ferulic acid, protocatechuic acid, cinnamic acid) in urine was established. In this work, a graphene oxide (GO) coating was grafted onto pure silica to be investigated as SPE material. The prepared GO surface had a layered and wrinkled structure that was rough and well organized, which could provide more open adsorption sites. Owing to its hydrophilicity and polarity, GO showed higher extraction efficiency toward PAs than reduced GO did, in agreement with the theoretical calculation results performed by Gaussian 09 software. The adsorption mechanism of PAs on GO@Sil was also investigated through static state and kinetic state adsorption experiments, which showed a monolayer surface adsorption. Extraction capacity of the as-prepared material was optimized using the response surface methodology. Under the optimized conditions, the as-established method provided wide linearity range (2-50 μg L(-1) for protocatechuic acid and 1-50 μg L(-1) for caffeic acid, ferulic acid, and cinnamic acid) and low limits of detection (0.25-1 μg L(-1)). Finally, the established method was applied for the analysis of urine from two healthy volunteers. The results indicate that the prepared material is a practical, cost-effective medium for the extraction and determination of phenolic acids in complex matrices. Graphical Abstract A graphene oxide coating was grafted onto pure silica as the SPE material for the extraction of phenolic acids in urines and the extraction mechanism was also mainly investigated. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Professor | 2 | 7% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 16 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 8 | 30% |
| Psychology | 1 | 4% |
| Unknown | 18 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2017.
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#22,764,772
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Outputs from Analytical & Bioanalytical Chemistry
#7,543
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Outputs of similar age from Analytical & Bioanalytical Chemistry
#91
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