Green Analytical Chemistry-Oriented RPLC Method for Determining the Dissociation Constant of the Nootropic Drug Piracetam in Binary Solvent Systems

Abstract This study introduces a sustainable reverse-phase liquid chromatography (RPLC) framework to evaluate the retention and pH-dependent ionization of piracetam in conventional and environmentally friendly mobile phases with varying solvent concentrations. The dissociation constant (pKa) of the nootropic drug piracetam was determined from chromatographic data obtained in binary mixtures containing 2-propanol, ethanol, methanol, and acetonitrile at low organic modifier concentrations (1%, 2%, 3%, and 4%, v/v) and in pure water. This data evaluation was performed using nonlinear regression (NLREG) and linear solvation energy relationship (LSER) approaches. Furthermore, to verify the obtained data, chromatographic analyses were conducted under the same conditions on both the XTerra RP18 (250 × 4.6 mm, 5 μm) and Gemini NX C18 (250 × 4.6 mm, 5 μm) columns at 37 °C. The pKa (wwpKa) value of this compound in aqueous medium was estimated indirectly using the macroscopic constant values (mole fraction/dielectric constant) of the relevant organic solvents and was estimated directly in pure water. Furthermore, the sustainability of the studied binary mobile-phase systems was assessed according to the Twelve Principles of Green Analytical Chemistry (GAC) using known metric tools. This article provides the first data on the chromatographic evaluation of piracetam using low-toxicity solvents and significantly reducing chemical waste generation.

Authors

Institutions

Publication Details

Journal
Journal of Chemical & Engineering Data
Published
2026-11-09
DOI
https://doi.org/10.1021/acs.jced.6c00482
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Green Analytical Chemistry-Oriented RPLC Method for Determining the Dissociation Constant of the Nootropic Drug Piracetam in Binary Solvent Systems

Y. Doğan Daldal, Ebru Cubuk Demiralay
Journal of Chemical & Engineering Data
Analytical Chemistry and Chromatography
article

Green Analytical Chemistry-Oriented RPLC Method for Determining the Dissociation Constant of the Nootropic Drug Piracetam in Binary Solvent Systems

Y. Doğan Daldal, Ebru Cubuk Demiralay
article en

Abstract

Abstract This study introduces a sustainable reverse-phase liquid chromatography (RPLC) framework to evaluate the retention and pH-dependent ionization of piracetam in conventional and environmentally friendly mobile phases with varying solvent concentrations. The dissociation constant (pKa) of the nootropic drug piracetam was determined from chromatographic data obtained in binary mixtures containing 2-propanol, ethanol, methanol, and acetonitrile at low organic modifier concentrations (1%, 2%, 3%, and 4%, v/v) and in pure water. This data evaluation was performed using nonlinear regression (NLREG) and linear solvation energy relationship (LSER) approaches. Furthermore, to verify the obtained data, chromatographic analyses were conducted under the same conditions on both the XTerra RP18 (250 × 4.6 mm, 5 μm) and Gemini NX C18 (250 × 4.6 mm, 5 μm) columns at 37 °C. The pKa (wwpKa) value of this compound in aqueous medium was estimated indirectly using the macroscopic constant values (mole fraction/dielectric constant) of the relevant organic solvents and was estimated directly in pure water. Furthermore, the sustainability of the studied binary mobile-phase systems was assessed according to the Twelve Principles of Green Analytical Chemistry (GAC) using known metric tools. This article provides the first data on the chromatographic evaluation of piracetam using low-toxicity solvents and significantly reducing chemical waste generation.

Journal of Chemical & Engineering Data
Süleyman Demirel Üniversitesi (TR), Kahramanmaraş Sütçü İmam University (TR)
Analytical Chemistry and Chromatography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon