Study of the retention behavior of trinucleotides in HPLC

MIKULÁŠEK, Kamil, Miroslava BITTOVÁ and Jan HAVLIŠ. Study of the retention behavior of trinucleotides in HPLC. In Acta Universitatis Palackianae Olomucensis Chemica 51S. Olomouc: Palacký University, Olomouc, 2014, p. 161-162. ISBN 978-80-244-3950-1.

Basic information

• Original name: Study of the retention behavior of trinucleotides in HPLC
• Name in Czech: Studium retenčního chování trinukleotidů pomocí HPLC
• Authors: MIKULÁŠEK, Kamil (203 Czech Republic), Miroslava BITTOVÁ (203 Czech Republic) and Jan HAVLIŠ (203 Czech Republic, guarantor, belonging to the institution).
• Edition: Olomouc, Acta Universitatis Palackianae Olomucensis Chemica 51S, p. 161-162, 2 pp. 2014.
• Publisher: Palacký University, Olomouc

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10406 Analytical chemistry
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• RIV identification code: RIV/00216224:14310/14:00075244
• Organization unit: Faculty of Science
• ISBN: 978-80-244-3950-1
• ISSN: 0232-0061
• Keywords (in Czech): trinukleotidy; RP-HPLC
• Keywords in English: trinucleotides; RP-HPLC

Abstract

Trinucleotides are short DNA sequences of three nucleobases; in our study we used guanine, adenine and thymine. It was shown that a useful tool to study the effect of sequence on retention was achieved by reversed phase liquid chromatography in ion-interaction mode (II-RPLC). Retention mechanism in the II-RPLC is based on addition of the ion interaction agent (in a form of buffer ions) to the mobile phase, which can effectively compensate the charge on the phosphate groups of a sugar-phosphate backbone, thereby increasing the hydrophobicity and thus the retention in system with reversed phase. To study the retention behavior we have chosen a combination of experimental design (ED) and artificial neural networks (ANN). ED was used to target more variable parameters in parallel while monitoring the system response. This method allows to determine the size of the effect of the various factors involved in the retention and to possibly reveal their mutual correlation. It is commonly connected to approximation of the response function using artificial neural networks (ANN), which then enables prediction of the retention time of an unknown sequence. This approach could be used as a tool to identify unknown short nucleotide sequences in mixtures

Links

• MUNI/A/0972/2013, interní kód MU: Name: Vývoj metod a instrumentace pro analýzu biologicky významných látek 2014 (Acronym: MIAB)

Investor: Masaryk University, Category A