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Continuous vs. segmented second-dimension system gradients for comprehensive two-dimensional liquid chromatography of sugarcane (Saccharum spp.)

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2014
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Title
Continuous vs. segmented second-dimension system gradients for comprehensive two-dimensional liquid chromatography of sugarcane (Saccharum spp.)
Published in
Analytical & Bioanalytical Chemistry, June 2014
DOI 10.1007/s00216-014-7786-8
Pubmed ID
Authors

Gabriel Mazzi Leme, Francesco Cacciola, Paola Donato, Alberto José Cavalheiro, Paola Dugo, Luigi Mondello

Abstract

A comprehensive two-dimensional liquid chromatography system in combination with photodiode array and mass spectrometry detection was developed for analysis of polyphenols in sugarcane (Saccharum spp.) leaf extracts. To achieve this, a micro cyano column and a partially porous octodecylsilica column were used in the first and the second dimension, respectively. The choice of the cyano column over other reversed-phase columns tested for the first-dimension separation was due to its lower correlation selectivity with respect to the octodecylsilica column, which was used for the second-dimension separation. Even when reversed-phase mode was used in both dimensions, a satisfactory degree of orthogonality was achieved by use of different gradient elution modes in the second dimension. By means of the setup investigated, 38 polyphenolic compounds were detected, and among them 24 were positively identified by means of complementary data from photodiode array and mass spectrometry detection and an in-house database. This is the first time such a powerful analytical technique has been used for polyphenolic characterization of sugarcane extracts.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Brazil 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 35%
Professor > Associate Professor 4 17%
Student > Postgraduate 2 9%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Other 3 13%
Unknown 2 9%
Readers by discipline Count As %
Chemistry 14 61%
Agricultural and Biological Sciences 2 9%
Nursing and Health Professions 1 4%
Business, Management and Accounting 1 4%
Engineering 1 4%
Other 0 0%
Unknown 4 17%
Attention Score in Context

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 07 July 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,542
of 9,619 outputs
Outputs of similar age
#208,970
of 242,820 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#79
of 91 outputs
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