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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

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2015
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Citations

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Readers on

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35 Mendeley
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 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 > Bachelor 1 3%
Other 1 3%
Student > Master 1 3%
Student > Postgraduate 1 3%
Student > Ph. D. Student 1 3%
Other 2 6%
Unknown 28 80%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Chemistry 2 6%
Agricultural and Biological Sciences 1 3%
Unspecified 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 28 80%

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.
All research outputs
#9,382,814
of 12,230,555 outputs
Outputs from Analytical & Bioanalytical Chemistry
#2,675
of 4,657 outputs
Outputs of similar age
#155,776
of 247,147 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#65
of 243 outputs
Altmetric has tracked 12,230,555 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,657 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 247,147 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.