Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic Algorithm

Quantitative NMR experiments are an essential part of NMR analysis, which play a critical role in component analysis and compound structure identification. Carbon atoms form the framework of organic compounds, and 13C NMR has unique advantages in organic analysis due to its wide chemical shift range...

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Main Authors: SONG Linhong, CHAI Xin, ZHANG Xu, JIANG Bin, LIU Maili
Format: Article
Language:zho
Published: Science Press 2023-12-01
Series:Chinese Journal of Magnetic Resonance
Subjects:
Online Access:http://121.43.60.238/bpxzz/article/2023/1000-4556/1000-4556-40-4-365.shtml
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author SONG Linhong
CHAI Xin
ZHANG Xu
JIANG Bin
LIU Maili
author_facet SONG Linhong
CHAI Xin
ZHANG Xu
JIANG Bin
LIU Maili
author_sort SONG Linhong
collection DOAJ
description Quantitative NMR experiments are an essential part of NMR analysis, which play a critical role in component analysis and compound structure identification. Carbon atoms form the framework of organic compounds, and 13C NMR has unique advantages in organic analysis due to its wide chemical shift range, narrow spectral peaks, and broadband decoupling capability. However, the low natural abundance, low gyromagnetic ratio, and long longitudinal relaxation time of 13C nuclei hinder its wider application in quantitative experiments. In our previous work, we proposed the Q-DEPT+ pulse sequence and designed a double loop of pulse flip angle and polarization transfer time, which allows for uniform sensitivity enhancement for the three types of carbon nuclei, CH, CH2, and CH3, within a wide 1JCH range, making it suitable for quantitative 13C NMR. In this study, we further optimized the polarization transfer time and read pulse width of the Q-DEPT+ experiment by using a genetic algorithm, and replaced the 180° hard pulse in the 13C channel with a G5 composite pulse that compensates for the frequency offset effect. The optimized pulse sequence was named Q-DEPT ++. Quantitative experiments were performed on cholesterol acetate in CDCl3 by using the reverse-gated decoupling pulse sequence (zgig), Q-DEPT+, and Q-DEPT++ respectively, and the quantification accuracy and sensitivity of the three pulse sequences were compared. The results showed that Q-DEPT++ has obvious improvement in both quantification accuracy and sensitivity.
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spelling doaj.art-ab021584164d47adae8466e5f13008072023-12-07T02:33:36ZzhoScience PressChinese Journal of Magnetic Resonance1000-45562023-12-0140436537510.11938/cjmr20233057Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic AlgorithmSONG Linhong0CHAI Xin1ZHANG Xu2JIANG Bin3LIU Maili41. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan (Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences), Wuhan 430071, China 2. University of Chinese Academy of Sciences, Beijing 100049, China1. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan (Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences), Wuhan 430071, China 2. University of Chinese Academy of Sciences, Beijing 100049, China1. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan (Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences), Wuhan 430071, China 2. University of Chinese Academy of Sciences, Beijing 100049, China1. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan (Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences), Wuhan 430071, China 2. University of Chinese Academy of Sciences, Beijing 100049, China1. State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan (Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences), Wuhan 430071, China 2. University of Chinese Academy of Sciences, Beijing 100049, ChinaQuantitative NMR experiments are an essential part of NMR analysis, which play a critical role in component analysis and compound structure identification. Carbon atoms form the framework of organic compounds, and 13C NMR has unique advantages in organic analysis due to its wide chemical shift range, narrow spectral peaks, and broadband decoupling capability. However, the low natural abundance, low gyromagnetic ratio, and long longitudinal relaxation time of 13C nuclei hinder its wider application in quantitative experiments. In our previous work, we proposed the Q-DEPT+ pulse sequence and designed a double loop of pulse flip angle and polarization transfer time, which allows for uniform sensitivity enhancement for the three types of carbon nuclei, CH, CH2, and CH3, within a wide 1JCH range, making it suitable for quantitative 13C NMR. In this study, we further optimized the polarization transfer time and read pulse width of the Q-DEPT+ experiment by using a genetic algorithm, and replaced the 180° hard pulse in the 13C channel with a G5 composite pulse that compensates for the frequency offset effect. The optimized pulse sequence was named Q-DEPT ++. Quantitative experiments were performed on cholesterol acetate in CDCl3 by using the reverse-gated decoupling pulse sequence (zgig), Q-DEPT+, and Q-DEPT++ respectively, and the quantification accuracy and sensitivity of the three pulse sequences were compared. The results showed that Q-DEPT++ has obvious improvement in both quantification accuracy and sensitivity.http://121.43.60.238/bpxzz/article/2023/1000-4556/1000-4556-40-4-365.shtmlliquid-state nmrquantitative nmr13c nmrdeptgenetic algorithmsensitivity enhancement
spellingShingle SONG Linhong
CHAI Xin
ZHANG Xu
JIANG Bin
LIU Maili
Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic Algorithm
Chinese Journal of Magnetic Resonance
liquid-state nmr
quantitative nmr
13c nmr
dept
genetic algorithm
sensitivity enhancement
title Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic Algorithm
title_full Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic Algorithm
title_fullStr Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic Algorithm
title_full_unstemmed Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic Algorithm
title_short Optimizing Sensitivity-enhanced Quantitative 13C NMR Experiment by Genetic Algorithm
title_sort optimizing sensitivity enhanced quantitative 13c nmr experiment by genetic algorithm
topic liquid-state nmr
quantitative nmr
13c nmr
dept
genetic algorithm
sensitivity enhancement
url http://121.43.60.238/bpxzz/article/2023/1000-4556/1000-4556-40-4-365.shtml
work_keys_str_mv AT songlinhong optimizingsensitivityenhancedquantitative13cnmrexperimentbygeneticalgorithm
AT chaixin optimizingsensitivityenhancedquantitative13cnmrexperimentbygeneticalgorithm
AT zhangxu optimizingsensitivityenhancedquantitative13cnmrexperimentbygeneticalgorithm
AT jiangbin optimizingsensitivityenhancedquantitative13cnmrexperimentbygeneticalgorithm
AT liumaili optimizingsensitivityenhancedquantitative13cnmrexperimentbygeneticalgorithm