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寻找预测氟代卡西酮类药物核磁共振化学位移的最佳方法

The Search for the Optimal Methodology for Predicting Fluorinated Cathinone Drugs NMR Chemical Shifts.

作者信息

Makieieva Natalina, Kupka Teobald, Rahmonov Oimahmad

机构信息

Faculty of Chemistry and Pharmacy, University of Opole, 48, Oleska Str., 45-052 Opole, Poland.

Institute of Earth Sciences, Faculty of Natural Sciences, University of Silesia in Katowice, 60, Będzińska, 41-200 Sosnowiec, Poland.

出版信息

Molecules. 2024 Dec 27;30(1):54. doi: 10.3390/molecules30010054.

Abstract

Cathinone and its synthetic derivatives belong to organic compounds with narcotic properties. Their structural diversity and massive illegal use create the need to develop new analytical methods for their identification in different matrices. NMR spectroscopy is one of the most versatile methods for identifying the structure of organic substances. However, its use could sometimes be very difficult and time-consuming due to the complexity of NMR spectra, as well as the technical limitations of measurements. In such cases, molecular modeling serves as a good supporting technique for interpreting ambiguous spectral data. Theoretical prediction of NMR spectra includes calculation of nuclear magnetic shieldings and sometimes also indirect spin-spin coupling constants (SSCC). The quality of theoretical prediction is strongly dependent on the choice of the theory level. In the current study, cathinone and its 12 fluorinated derivatives were selected for gauge-including atomic orbital (GIAO) NMR calculations using Hartree-Fock (HF) and 28 density functionals combined with 6-311++G** basis set to find the optimal level of theory for H, C, and F chemical shifts modeling. All calculations were performed in the gas phase, and solutions were modeled with a polarized-continuum model (PCM) and solvation model based on density (SMD). The results were critically compared with available experimental data.

摘要

卡西酮及其合成衍生物属于具有麻醉特性的有机化合物。它们结构的多样性以及大量的非法使用使得有必要开发新的分析方法来在不同基质中对其进行鉴定。核磁共振光谱法是鉴定有机物质结构最通用的方法之一。然而,由于核磁共振光谱的复杂性以及测量的技术限制,其使用有时可能非常困难且耗时。在这种情况下,分子建模可作为解释模糊光谱数据的良好辅助技术。核磁共振光谱的理论预测包括核磁屏蔽的计算,有时还包括间接自旋 - 自旋耦合常数(SSCC)的计算。理论预测的质量在很大程度上取决于理论水平的选择。在当前研究中,选择卡西酮及其12种氟化衍生物,使用哈特里 - 福克(HF)方法和28种密度泛函结合6 - 311++G**基组进行含规范原子轨道(GIAO)的核磁共振计算,以找到用于氢、碳和氟化学位移建模的最佳理论水平。所有计算均在气相中进行,并使用极化连续介质模型(PCM)和基于密度的溶剂化模型(SMD)对溶液进行建模。将结果与现有的实验数据进行了严格比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d85c/11721958/01e9f2289554/molecules-30-00054-g001.jpg

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