Abstract
Four fluorescent tricyclic basic dyes with two hollow organic capsules namely cucurbit[n]urils (CB[n]), n = 7 and 8, compose the chemical tongue that is examined for α-amino acids recognition. This array is able to identify and discriminate 18 α-amino acids up to 10-4 M without the need of enzyme activation. The paper shows the importance of the classification technique employed in order to reach the highest recognition rate at this concentration.
Keywords: Amino acids, chemical tongue, classification, clustering, colorimetric, machine learning, statistics.
Combinatorial Chemistry & High Throughput Screening
Title:A Study on Factors Affecting the Reproducibility of a Chemical Tongue Analysis Responding to Amino Acids
Volume: 16 Issue: 7
Author(s): Laurent A. Baumes and Jose Ranilla
Affiliation:
Keywords: Amino acids, chemical tongue, classification, clustering, colorimetric, machine learning, statistics.
Abstract: Four fluorescent tricyclic basic dyes with two hollow organic capsules namely cucurbit[n]urils (CB[n]), n = 7 and 8, compose the chemical tongue that is examined for α-amino acids recognition. This array is able to identify and discriminate 18 α-amino acids up to 10-4 M without the need of enzyme activation. The paper shows the importance of the classification technique employed in order to reach the highest recognition rate at this concentration.
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Cite this article as:
Baumes A. Laurent and Ranilla Jose, A Study on Factors Affecting the Reproducibility of a Chemical Tongue Analysis Responding to Amino Acids, Combinatorial Chemistry & High Throughput Screening 2013; 16 (7) . https://dx.doi.org/10.2174/1386207311316070007
DOI https://dx.doi.org/10.2174/1386207311316070007 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
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