Pseudo-3D HSQC0, a method to create a true 2D HSQC0-plane. Application to softwood extract analysis

Pseudo-3D HSQC<sub>0</sub> provides an alternative and easy way to record and analyze quantitative HSQC<sub>0</sub>-data. In the original time-zero extrapolated <sup>1</sup>H-<sup>13</sup>C HSQC (HSQC<sub>0</sub>), three separate 2D constant-time (CT) HSQC-experiments (HSQC<sub>i</sub>, i = 1-3) are acquired, where either 1,2 or 3 consecutive CT-HSQC-propagators are repeated in each pulse sequence, and the 2D integral data from the three 2D experiments is analyzed via linear regression. In the presented pseudo-3D HSQC<sub>0</sub>, HSQC<sub>i</sub> is one of the dimensions and all data is contained within one dataset, which is recorded in interleaved manner by acquiring the same t<sub>1</sub>-value for each HSQC<sub>i</sub>-point before t<sub>1</sub>-incrementation. The 3D-nature of the data allows the utilization of backward linear prediction to calculate an actual time-zero 2D HSQC<sub>0</sub> spectrum, which can be analyzed using normal 2D integration procedures for quantitative results. In all, the pseudo-3D enables straightforward, intuitive and easy analysis of the quantitative 2D HSQC<sub>0</sub> spectrum/plane. As the recorded pseudo 3D data contains the normal HSQC<sub>i</sub> planes, also the classic linear regression analysis can be applied.

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Publication Details

Journal
Journal of Magnetic Resonance
Published
2024-12-19
DOI
https://doi.org/10.1016/j.jmr.2024.107825
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
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article

Pseudo-3D HSQC0, a method to create a true 2D HSQC0-plane. Application to softwood extract analysis

Ilkka Kilpeläinen, Danila Morais de Carvalho, Kirsi S. Mikkonen, Maarit H. Lahtinen et al.
Journal of Magnetic Resonance
Hydrocarbon exploration and reservoir analysis
article

Pseudo-3D HSQC0, a method to create a true 2D HSQC0-plane. Application to softwood extract analysis

Ilkka Kilpeläinen, Danila Morais de Carvalho, Kirsi S. Mikkonen, Maarit H. Lahtinen, Sami Heikkinen, Tuomas Niemi-Aro
article en

Abstract

Pseudo-3D HSQC<sub>0</sub> provides an alternative and easy way to record and analyze quantitative HSQC<sub>0</sub>-data. In the original time-zero extrapolated <sup>1</sup>H-<sup>13</sup>C HSQC (HSQC<sub>0</sub>), three separate 2D constant-time (CT) HSQC-experiments (HSQC<sub>i</sub>, i = 1-3) are acquired, where either 1,2 or 3 consecutive CT-HSQC-propagators are repeated in each pulse sequence, and the 2D integral data from the three 2D experiments is analyzed via linear regression. In the presented pseudo-3D HSQC<sub>0</sub>, HSQC<sub>i</sub> is one of the dimensions and all data is contained within one dataset, which is recorded in interleaved manner by acquiring the same t<sub>1</sub>-value for each HSQC<sub>i</sub>-point before t<sub>1</sub>-incrementation. The 3D-nature of the data allows the utilization of backward linear prediction to calculate an actual time-zero 2D HSQC<sub>0</sub> spectrum, which can be analyzed using normal 2D integration procedures for quantitative results. In all, the pseudo-3D enables straightforward, intuitive and easy analysis of the quantitative 2D HSQC<sub>0</sub> spectrum/plane. As the recorded pseudo 3D data contains the normal HSQC<sub>i</sub> planes, also the classic linear regression analysis can be applied.

Journal of Magnetic ResonanceVol. 371
University of Helsinki (FI), Helsinki Institute of Physics (FI)
Openalex Percentile: Top 74%
Hydrocarbon exploration and reservoir analysis
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