标准HSQC-ME脉冲序列在台式核磁共振定量设备上的应用

IF 0.4 4区 化学 Q4 CHEMISTRY, PHYSICAL
Klaudia Adels, Bernd Diehl, Margit Schulze, Yulia Monakhova
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引用次数: 0

摘要

异核单量子相关(HSQC) NMR方法被广泛用于复杂混合物的结构表征。本研究将多重增强HSQC (HSQC- me)光谱的应用范围扩大到具有标准测量可能性的低场核磁共振器件的定量分析。采集参数如扫描次数和t1增量以及重复时间进行了优化,以实现所需最小测量时间的最佳信号比和分辨率。对药品和膳食补充剂中的活性药物成分/兴奋剂采用内标校正因子法和外标法进行标准化,平均绝对偏差分别为5.0%和7.7%。HSQC-ME核磁共振波谱法测定不确定度小于4%,测定时间为2 h,检出限小于3 mg/mL。低场核磁共振仪在1D核磁共振维数重叠和存在巨大溶剂信号的情况下,对电子烟中有机酸进行半定量HSQC-ME分析,准确度在25%以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Application of Standard HSQC-ME Pulse Sequence on Benchtop NMR Devices for Quantitative Applications

Application of Standard HSQC-ME Pulse Sequence on Benchtop NMR Devices for Quantitative Applications

The heteronuclear single quantum correlation (HSQC) NMR method is widely used for the structural characterization of complex mixtures. In this study, the application range of multiplicity-enhanced HSQC (HSQC-ME) spectroscopy was broadened to quantitative analysis on low-field NMR devices with standard measurement possibilities. Acquisition parameters such as number of scans and t1 increments as well as repetition time were optimized to achieve the best signal-to-ratio and resolution requiring minimum measurement time. Standardization with internal standard using correction factor and external calibration approaches for active pharmaceutical ingredients/stimulants in pharmaceutical products and dietary supplements showed average absolute bias of 5.0% and 7.7%, respectively. The HSQC-ME NMR spectroscopic method was characterized by measurement uncertainty below 4% and limits of detection below 3 mg/mL for 2-h measurement time. Semiquantitative HSQC-ME analysis of organic acids in e-cigarettes can be performed within the accuracy of 25% at low-field NMR instruments in case of overlap in 1D NMR dimension and in the presence of huge solvent signals.

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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: Concepts in Magnetic Resonance Part A brings together clinicians, chemists, and physicists involved in the application of magnetic resonance techniques. The journal welcomes contributions predominantly from the fields of magnetic resonance imaging (MRI), nuclear magnetic resonance (NMR), and electron paramagnetic resonance (EPR), but also encourages submissions relating to less common magnetic resonance imaging and analytical methods. Contributors come from academic, governmental, and clinical communities, to disseminate the latest important experimental results from medical, non-medical, and analytical magnetic resonance methods, as well as related computational and theoretical advances. Subject areas include (but are by no means limited to): -Fundamental advances in the understanding of magnetic resonance -Experimental results from magnetic resonance imaging (including MRI and its specialized applications) -Experimental results from magnetic resonance spectroscopy (including NMR, EPR, and their specialized applications) -Computational and theoretical support and prediction for experimental results -Focused reviews providing commentary and discussion on recent results and developments in topical areas of investigation -Reviews of magnetic resonance approaches with a tutorial or educational approach
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