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

Area of Science:

• Nuclear Magnetic Resonance Spectroscopy
• Analytical Chemistry

Background:

• Quantitative analysis of Nuclear Magnetic Resonance (NMR) data, specifically ¹H-¹³C HSQC₀, traditionally requires complex data processing.
• The standard method involves acquiring three separate 2D constant-time (CT) HSQC experiments (HSQC_i) and analyzing their integral data via linear regression.

Purpose of the Study:

• To introduce a novel pseudo-3D HSQC₀ approach for simplified recording and analysis of quantitative HSQC₀ data.
• To provide an alternative method that enhances the ease of data analysis for quantitative NMR experiments.

Main Methods:

• The pseudo-3D HSQC₀ method integrates HSQC_i experiments as one dimension within a single dataset, recorded in an interleaved manner.
• Utilizes backward linear prediction on the 3D data to reconstruct a time-zero 2D HSQC₀ spectrum.
• The reconstructed spectrum can be analyzed using standard 2D integration procedures.

Main Results:

• The pseudo-3D approach allows for the calculation of an actual time-zero 2D HSQC₀ spectrum.
• Quantitative analysis is achieved through normal 2D integration procedures on the reconstructed spectrum.
• The original HSQC_i planes are preserved, enabling traditional linear regression analysis if needed.

Conclusions:

• Pseudo-3D HSQC₀ offers a straightforward, intuitive, and easy method for analyzing quantitative 2D HSQC₀ spectra.
• This technique simplifies the process of obtaining quantitative results from HSQC₀ NMR experiments.
• The method retains the capability for classic linear regression analysis, offering flexibility.