| Title |
Tailored 96-well μElution solid-phase extraction combined with UFLC-MS/MS: a significantly improved approach for determination of free 3-nitrotyrosine in human urine
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, August 2015
|
| DOI | 10.1007/s00216-015-8934-5 |
| Pubmed ID | |
| Authors |
Xiaoguang (Sunny) Li, Shu Li, Gottfried Kellermann |
| Abstract |
We developed and validated a simple and fast UFLC-MS/MS method for the accurate determination of 3-nitrotyrosine (3-NT) in human urine as a noninvasive biomarker for oxidative stress. The method, involving tailored 96-well μElution solid-phase extraction (SPE) combined with UFLC-MS/MS, allows 3-NT to be determined in biological samples without the need for hydrolysis, derivatization, evaporation, and two-dimensional LC for the first time. Using ammonium acetate (pH 9, 25 mM) as an elution buffer was found to improve SPE selectivity. Fast chromatographic elution of 3-NT with a total run time of 7 min was achieved on a PFPP column (150 mm × 2.1 mm, 3 μm). This fine-tuned integrated method delivered significantly improved throughput, specificity, and sensitivity while reducing the matrix effect, solvent usage, and waste disposal. Using this simple and rapid method, two plates of urine samples (n = 192) can be processed within 24 h. The lower limit of quantification for 3-NT is 10 pg/mL, which represents a notable sensitivity enhancement over reported methods. Less than 6.0 % variations for intraday and interday assay precisions and 97.7-106.3 % for accuracies in terms of recovery were obtained. The applicability and reliability of the method were demonstrated by determining the reference range in human urine for 82 healthy people. Considering the noninvasive and inexpensive nature of urine sampling, this novel method could be used to re-evaluate the role of 3-NT as an oxidative stress biomarker in pre-clinical and clinical studies. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 14% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 1 | 3% |
| Other | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 21 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Chemistry | 2 | 6% |
| Social Sciences | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 22 | 63% |
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 09 November 2015.
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#19,942,887
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,060
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Outputs of similar age
#190,528
of 277,646 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#50
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