Evidence map›Paper›PMID 37798351›Full record

ArticleScientific reports2023

Advancing chirality analysis through enhanced enantiomer characterization and quantification via fast Fourier transform capacitance voltammetry.

Mehrnaz Ebrahimi, Parviz Norouzi, Jahan B Ghasemi, Ali Akbar Moosavi-Movahedi, Meissam Noroozifar, Razieh Salahandish

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mehrnaz EbrahimiChemistry Faculty, School of Sciences, University of Tehran, POB 14155-6455, Tehran, Iran.
Parviz NorouziChemistry Faculty, School of Sciences, University of Tehran, POB 14155-6455, Tehran, Iran. pnorouzi@yorku.ca.
Jahan B GhasemiChemistry Faculty, School of Sciences, University of Tehran, POB 14155-6455, Tehran, Iran.
Ali Akbar Moosavi-MovahediInstitute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Meissam NoroozifarDepartment of Physical and Environmental Sciences, University of Toronto Scarborough, 1265 Military Trail, Toronto, ON, M1C 1A4, Canada.
Razieh SalahandishLaboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada. raziehs@yorku.ca.

Funding

NSERC Discovery RGPIN-2023-0509University of Tehran 234/18737
6 · The paper itself

Abstract

The exploration of the chiral configurations of enantiomers represents a highly intriguing realm of scientific inquiry due to the distinct roles played by each enantiomer (D and L) in chemical reactions and their practical utilities. This study introduces a pioneering analytical methodology, termed fast Fourier transform capacitance voltammetry (FFT-CPV), in conjunction with principal component analysis (PCA), for the identification and quantification of the chiral forms of tartaric acid (TA), serving as a representative model system for materials exhibiting pronounced chiral characteristics. The proposed methodology relies on the principle of chirality, wherein the capacitance signal generated by the adsorption of D-TA and L-TA onto the surface of a platinum electrode (Pt-electrode) in an acidic solution is harnessed. The capacitance voltammograms were meticulously recorded under optimized experimental conditions. To compile the final dataset for the analyte, the average of the FFT capacitance voltammograms of the acidic solution (without the presence of the analyte) was subtracted from those containing the analyte. A distinct arrangement was obtained by employing PCA as a linear data transformation method, representing D-TA and L-TA in a two/three-dimensional space. The outcomes of the study reveal the successful detection of the two chiral forms of TA with a considerable degree of precision and reproducibility. Moreover, the proposed method facilitated the establishment of two linear response ranges for the concentration values of each enantiomer, spanning from 1 to 20 µM, and 50 to 500 µM. The respective detection limits were also determined to be 0.4 µM for L-TA and 1.3 µM for D-TA. These findings underscore the satisfactory sensitivity and efficiency of the proposed method in both qualitative and quantitative assessments of the chiral forms of TA.

Identifiers

PMID37798351
PMCPMC10556018

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