Recommended Free Tools
SMolESY is a computational method reported in 2020 for suppressing macromolecular signals in proton NMR metabolomics while aiming to retain quantitative information about small molecules. It offers a different approach to signal suppression—not evidence that every sample, instrument, or NMR preparation step can be replaced.
What is SMolESY?
SMolESY is a signal-processing method for proton nuclear magnetic resonance (1H-NMR) analysis of biological samples. Its stated purpose is to reduce signal contributions from macromolecules while preserving quantitative information from smaller molecules, such as metabolites. Chemistry World described the approach as mathematical suppression of macromolecular signals without losing quantitative small-molecule data (Chemistry World, 30 June 2020).
| # | Preview | Product | Price | |
|---|---|---|---|---|
| 1 |
|
Understanding NMR Spectroscopy | $39.17 | Buy on Amazon |
| 2 |
|
Understanding NMR Spectroscopy | $17.76 | Buy on Amazon |
| 3 |
|
Basic One- and Two-Dimensional NMR Spectroscopy | $69.82 | Buy on Amazon |
| 4 |
|
Spin Dynamics: Basics of Nuclear Magnetic Resonance | $65.25 | Buy on Amazon |
| 5 |
|
Introduction to Spectroscopy | $75.59 | Buy on Amazon |
As an Amazon Associate I earn from qualifying purchases.
The researchers behind the work were Takis, Jimenez, Sands, Chekmeneva, and Lewis. Their paper appeared in Chemical Science in 2020. Imperial College London lists the publication as “An efficient and quantitative alternative to on-instrument macromolecular 1H-NMR signals suppression” (Imperial College London publication listing).
What does it challenge about NMR metabolomics?
Macromolecules in biological samples contribute signals that can complicate the analysis of smaller compounds. The conventional framing in the available coverage is to suppress those contributions on the NMR instrument. SMolESY’s distinguishing idea is to address macromolecular signals computationally, after or as part of signal processing, rather than treating on-instrument suppression as the only option.
#1 Best Overall
That is a challenge to a particular workflow assumption, not proof that SMolESY replaces sample preparation, instrument-based methods, or other analytical steps. The available descriptions do not specify the full range of sample types, instruments, or operating conditions for which it is suitable.
Does SMolESY preserve quantitative metabolite information?
Preserving quantitative small-molecule information is the method’s stated goal, and the paper’s institutional listing describes it as a “quantitative alternative.” Those descriptions support the intended benefit, but they do not provide enough detail to establish how accurately or consistently it performs in particular experimental settings.
Rank #2
The accessible source material does not report performance figures, sample counts, independent validation, or a head-to-head ranking against other suppression approaches. It therefore cannot support claims that SMolESY is more accurate, faster, or universally superior. The method’s quantitative value should be assessed against the results and conditions reported in the full paper before relying on it for a specific study.
Is SMolESY available to run?
The cited descriptions establish that the method was published, but they do not establish a current downloadable implementation, software license, or installation procedure. Researchers considering it should verify availability, licensing, and compatibility directly through the publication and its authors or institution before planning an implementation.
Rank #3
What is known about the research context?
Imperial College London’s profile for Panteleimon Takis describes work applying NMR spectroscopy to bioanalytical and metabolomics studies, including software for processing complex mixtures such as biofluids (Imperial College London researcher profile). This is relevant background, but it is not independent validation of SMolESY’s performance.
Quick Recap
Best Value
Rank #4
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
