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Solid-Contact Potentiometric Sensors and Multisensors Based on Polyaniline and Thiacalixarene Receptors for the Analysis of Some Beverages and Alcoholic Drinks

Overview of attention for article published in Frontiers in Chemistry, April 2018
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Title
Solid-Contact Potentiometric Sensors and Multisensors Based on Polyaniline and Thiacalixarene Receptors for the Analysis of Some Beverages and Alcoholic Drinks
Published in
Frontiers in Chemistry, April 2018
DOI 10.3389/fchem.2018.00134
Pubmed ID
Authors

Michail Sorvin, Svetlana Belyakova, Ivan Stoikov, Rezeda Shamagsumova, Gennady Evtugyn

Abstract

Electronic tongue is a sensor array that aims to discriminate and analyze complex media like food and beverages on the base of chemometrics approaches for data mining and pattern recognition. In this review, the concept of electronic tongue comprising of solid-contact potentiometric sensors with polyaniline and thacalix[4]arene derivatives is described. The electrochemical reactions of polyaniline as a background of solid-contact sensors and the characteristics of thiacalixarenes and pillararenes as neutral ionophores are briefly considered. The electronic tongue systems described were successfully applied for assessment of fruit juices, green tea, beer, and alcoholic drinks They were classified in accordance with the origination, brands and styles. Variation of the sensor response resulted from the reactions between Fe(III) ions added and sample components, i.e., antioxidants and complexing agents. The use of principal component analysis and discriminant analysis is shown for multisensor signal treatment and visualization. The discrimination conditions can be optimized by variation of the ionophores, Fe(III) concentration, and sample dilution. The results obtained were compared with other electronic tongue systems reported for the same subjects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 24%
Researcher 6 18%
Student > Ph. D. Student 5 15%
Professor 4 12%
Lecturer > Senior Lecturer 1 3%
Other 2 6%
Unknown 8 24%
Readers by discipline Count As %
Chemistry 11 32%
Materials Science 4 12%
Computer Science 3 9%
Engineering 2 6%
Agricultural and Biological Sciences 2 6%
Other 1 3%
Unknown 11 32%
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 24 April 2018.
All research outputs
#20,483,282
of 23,045,021 outputs
Outputs from Frontiers in Chemistry
#2,936
of 6,018 outputs
Outputs of similar age
#287,530
of 326,481 outputs
Outputs of similar age from Frontiers in Chemistry
#65
of 151 outputs
Altmetric has tracked 23,045,021 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 6,018 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.