Chirality, volume 34, issue 11, pages 1472-1488

Rational design of highly enantioselective composite voltammetric sensors using a computationally predicted chiral modifier

Publication typeJournal Article
Publication date2022-09-08
Journal: Chirality
Quartile SCImago
Q3
Quartile WOS
Q3
Impact factor2
ISSN08990042, 1520636X
Catalysis
Organic Chemistry
Drug Discovery
Spectroscopy
Pharmacology
Analytical Chemistry
Abstract
The use of chiral modifiers is among the simplest and most popular strategies for synthesizing enantioselective voltammetric sensors that are applied for the analysis and discrimination of enantiomerical drugs in various media. The type and structure of the chiral modifier are the key factors for the creation of enantioselectivity to a specified analyte. We suggest a novel approach to the prediction of the quality of a chiral modifier for preparing highly enantioselective sensors. The suggested approach is based on the molecular mechanics modeling of the adsorption of analyte enantiomers on chiral modifiers and on the comparison of the corresponding adsorption energies (ΔEads ). The efficiency of our approach is demonstrated using the example of cyclodextrins and chiral single-wall carbon nanotubes as chiral modifiers, and a wide range of chiral analytes. We found that the experimental enantioselectivity (ϑexp ) measured using voltammetry linearly correlates with ΔEads . The suggested approach also showed good predictive power in application to enantioselective chromatography, which further validates its general applicability.

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Zilberg R. A. et al. Rational design of highly enantioselective composite voltammetric sensors using a computationally predicted chiral modifier // Chirality. 2022. Vol. 34. No. 11. pp. 1472-1488.
GOST all authors (up to 50) Copy
Zilberg R. A., Vakulin I. V., Teres J. B., Galimov D. I., Maistrenko V. N. Rational design of highly enantioselective composite voltammetric sensors using a computationally predicted chiral modifier // Chirality. 2022. Vol. 34. No. 11. pp. 1472-1488.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1002/chir.23502
UR - https://doi.org/10.1002%2Fchir.23502
TI - Rational design of highly enantioselective composite voltammetric sensors using a computationally predicted chiral modifier
T2 - Chirality
AU - Zilberg, Rufina A
AU - Vakulin, Ivan V
AU - Teres, Julia B
AU - Galimov, Dim I
AU - Maistrenko, Valery N
PY - 2022
DA - 2022/09/08 00:00:00
PB - Wiley
SP - 1472-1488
IS - 11
VL - 34
SN - 0899-0042
SN - 1520-636X
ER -
BibTex |
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BibTex Copy
@article{2022_Zilberg,
author = {Rufina A Zilberg and Ivan V Vakulin and Julia B Teres and Dim I Galimov and Valery N Maistrenko},
title = {Rational design of highly enantioselective composite voltammetric sensors using a computationally predicted chiral modifier},
journal = {Chirality},
year = {2022},
volume = {34},
publisher = {Wiley},
month = {sep},
url = {https://doi.org/10.1002%2Fchir.23502},
number = {11},
pages = {1472--1488},
doi = {10.1002/chir.23502}
}
MLA
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MLA Copy
Zilberg, Rufina A., et al. “Rational design of highly enantioselective composite voltammetric sensors using a computationally predicted chiral modifier.” Chirality, vol. 34, no. 11, Sep. 2022, pp. 1472-1488. https://doi.org/10.1002%2Fchir.23502.
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