…more and more analytical and industrial laboratories have started employing quantitative nuclear magnetic resonance (qNMR) spectroscopy as a tool for content assignment (due to its superb structural elucidation abilities) and quantification of purity in a sample. Read More.

2D NMR experiments provide chemists with evidence to clarify and confirm resonance assignment.  Nowadays every organic chemist uses these experiments called COSY, HMBC and HSQC as routine analytics. Basically, with 2D experiments you correlate some kind of information between two 1D spectra. If we correlate two 1D spectra of the same nucleus we are dealing with homonuclear 2D NMR experiments. The most famous representative of this group is the COSY experiment (find theory here and application here).

‘The spectra were analyzed according to first order’. Does this sound familiar to you? Most of the supporting information documents out there contain this sentence. You find yourself asking ‘why does nobody care about second order effects?’, then check out this high-order blog entry on the topic.

Are you familiar with the apodization tool in Mnova? Apodization (also referred to as Weighting or Windowing) literally translates to ‘cutting off the feet’ from the original Greek. In this case…

In the average case one can simply dissolve an analyte in an appropriate deuterated solvent and acquire a simple 1D spectrum to obtain all the required structural information. However, sometimes doing so may not provide you with all of the information you need!

NMR spectroscopy is by far the most useful characterization technique in organic chemistry, especially if you have to elucidate the structure or configuration of your products. Arguably, 2D experiments such as COSY, HSQC, and HMBC have simplified this task tremendously. In this post I wanted to highlight the COSY of α-humulene. Read more.

One of the questions that we always get at tradeshows and conferences is how our instrument compares to high-field data. There are significant inherent differences between low-field and high-field instruments, but the most important from a chemistry point of view are sensitivity (S/N) and resonance dispersion (signal separation). Read More.

What is process analytical technology (PAT) and why is it so important?PAT is an extremely powerful and useful tool for analyzing, optimizing and controlling chemical processes. Chemical, food and pharmaceutical industries could especially benefit from this technique. In earlier days, chemical processes were primarily monitored by physical techniques, such as temperature, pH, pressure etc..

Last month (which you can see here), we learned about how an acidic proton behaves in a 1H NMR experiment, particularly when it’s surrounded by D2O. For example, when an H+ leaves CH3COOH to join an accommodating D2O molecule, the resulting acetate (H3CCOO–) segment is reasonably comfortable bearing that negative charge. This phenomenon is the reason the solution is “acidic” in the first place. But why is acetate so capable of dealing with this negative electronic charge?

Distortionless Enhancement by Polarization Transfer (DEPT) is a double resonance pulse program that transfers polarization from an excited nucleus to another – most commonly 1H → 13C. This results in a sensitivity enhancement relative to the standard decoupled 1D carbon spectra (13C), which benefits only from the small Nuclear Overhauser Effect (NOE) enhancements.