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Routine sample preparation and HPLC analysis for ascorbic acid (vitamin C) determination in wheat plants andArabidopsisleaf tissues

Overview of attention for article published in Acta Biologica Hungarica, June 2014
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Title
Routine sample preparation and HPLC analysis for ascorbic acid (vitamin C) determination in wheat plants andArabidopsisleaf tissues
Published in
Acta Biologica Hungarica, June 2014
DOI 10.1556/abiol.65.2014.2.8
Pubmed ID
Authors

Gabriella Szalai, T. Janda, Magda Pál

Abstract

Plants have developed various mechanisms to protect themselves against oxidative stress. One of the most important non-enzymatic antioxidants is ascorbic acid. There is thus a need for a rapid, sensitive method for the analysis of the reduced and oxidised forms of ascorbic acid in crop plants. In this paper a simple, economic, selective, precise and stable HPLC method is presented for the detection of ascorbate in plant tissue. The sensitivity, the short retention time and the simple isocratic elution mean that the method is suitable for the routine quantification of ascorbate in a high daily sample number. The method has been found to be better than previously reported methods, because of the use of an economical, readily available mobile phase, UV detection and the lack of complicated extraction procedures. The method has been tested on Arabidopsis plants with different ascorbate levels and on wheat plants during Cd stress.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Algeria 1 3%
United States 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Researcher 5 17%
Student > Doctoral Student 5 17%
Student > Ph. D. Student 5 17%
Student > Master 3 10%
Other 4 14%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 48%
Chemistry 4 14%
Engineering 2 7%
Nursing and Health Professions 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 6 21%

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 12 August 2014.
All research outputs
#10,781,963
of 12,159,148 outputs
Outputs from Acta Biologica Hungarica
#68
of 127 outputs
Outputs of similar age
#167,044
of 204,032 outputs
Outputs of similar age from Acta Biologica Hungarica
#3
of 5 outputs
Altmetric has tracked 12,159,148 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% 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 204,032 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.