fid-to-frequency-domain-fourier-transformation
Summary
Transform time-domain free-induction decay (FID) data into frequency-domain 1H NMR spectra by applying Fourier transformation. This is a standard signal processing step in NMR spectral simulation that converts combined metabolite FID arrays into interpretable chemical-shift-resolved spectra.
When to use
Apply this skill after simulating and convolving individual metabolite multiplets with realistic lineshapes (Lorentzian or Gaussian) and combining them into a single time-domain FID array. Use this step when you have completed the generation of all metabolite spin systems for a given 1D proton NMR simulation and need to convert to the frequency domain for display or analysis.
When NOT to use
- Input is already a 2D COSY, HSQC, or HMQC correlation spectrum (apply 2D Fourier transformation instead, with indirect-dimension evolution).
- Input FID has not yet been convoluted with a realistic lineshape function (apply lineshape broadening before Fourier transformation to ensure realistic peak widths).
- Spectra are to be generated for nuclei other than 1H (e.g., 13C or 31P), where chemical shift ranges and J-coupling patterns differ.
Inputs
- Combined 1D free-induction decay (FID) array from simulated metabolite spin systems
- Time-domain array with lineshape-broadened multiplets for each metabolite
- Receiver offset and spectral width parameters (Hz)
Outputs
- Frequency-domain 1H NMR spectrum (complex or magnitude array)
- Chemical shift axis (ppm or Hz)
- HDF5 or netCDF spectral array file compatible with standard NMR formats
How to apply
After constructing the combined 1D FID by superposing individual metabolite contributions (each accounting for chemical shift, J-coupling, and lineshape broadening), apply a discrete Fourier transformation to convert from the time domain to the frequency domain. This produces a complex-valued or magnitude spectrum indexed by chemical shift (typically expressed in ppm relative to a reference like tetramethylsilane). The Fourier-transformed output should yield peaks at positions corresponding to the metabolite 1H chemical shifts, with multiplet fine structure (doublets, triplets, etc.) preserved by the prior J-coupling simulation. Save the resulting frequency-domain spectrum in a standard NMR data format (HDF5 or netCDF) for downstream visualization or quantitative analysis.
Related tools
- MetAssimulo 2 (Web application that orchestrates 1D and 2D metabolomic 1H NMR spectral simulation, including FID generation, Fourier transformation, and output in HDF5/netCDF format) — https://github.com/yanyan5420/MetAssimulo_2
Examples
python3 apps/index.py -p Input/parameters.txt
Evaluation signals
- Frequency-domain spectrum peaks align with the known 1H chemical shifts of input metabolites (within ±0.05 ppm tolerance for standard aqueous NMR).
- Multiplet fine structure (coupling patterns from J-values) is preserved and visible in the transformed spectrum.
- Peak intensity ratios in the frequency domain match the relative metabolite concentrations and proton counts input to the simulation.
- Output file format (HDF5 or netCDF) is readable by standard NMR software and contains expected metadata (axis labels, chemical shift scale, acquisition parameters).
- Real and imaginary components (if retained) show conjugate symmetry properties expected from a real-valued time-domain signal.
Limitations
- First-order or density-matrix NMR simulation assumptions may fail for strongly coupled or overlapping spin systems at low magnetic field strength; the article does not specify handling of these edge cases.
- Lineshape broadening is applied as Lorentzian or Gaussian convolution; realistic lineshapes in metabolomic samples may be more complex (e.g., Voigt profile, field inhomogeneity).
- No changelog or discussion of validation against experimental spectra is provided in the available documentation.
- The README does not specify numerical precision (32-bit vs. 64-bit float), zero-filling strategy, or apodization window parameters, which can affect spectral resolution and artifact magnitude.
Evidence
- [other] Combine individual metabolite spectra into a single 1D FID and apply Fourier transformation to produce frequency-domain 1H NMR spectrum.: "Combine individual metabolite spectra into a single 1D FID and apply Fourier transformation to produce frequency-domain 1H NMR spectrum."
- [other] Convolve simulated multiplets with a Lorentzian or Gaussian lineshape function to approximate realistic peak broadening.: "Convolve simulated multiplets with a Lorentzian or Gaussian lineshape function to approximate realistic peak broadening."
- [other] Save simulated 1D and 2D spectra as HDF5 or netCDF spectral arrays compatible with standard NMR data formats.: "Save simulated 1D and 2D spectra as HDF5 or netCDF spectral arrays compatible with standard NMR data formats."
- [other] Generate theoretical spin multiplets using first-order or density-matrix NMR simulation for each spin system, accounting for chemical shift and J-coupling.: "Generate theoretical spin multiplets using first-order or density-matrix NMR simulation for each spin system, accounting for chemical shift and J-coupling."
1---2name: fid-to-frequency-domain-fourier-transformation3description: Use when after simulating and convolving individual metabolite multiplets with realistic lineshapes (Lorentzian or Gaussian) and combining them into a single time-domain FID array.4license: CC-BY-4.05---67# fid-to-frequency-domain-fourier-transformation89## Summary1011Transform time-domain free-induction decay (FID) data into frequency-domain 1H NMR spectra by applying Fourier transformation. This is a standard signal processing step in NMR spectral simulation that converts combined metabolite FID arrays into interpretable chemical-shift-resolved spectra.1213## When to use1415Apply this skill after simulating and convolving individual metabolite multiplets with realistic lineshapes (Lorentzian or Gaussian) and combining them into a single time-domain FID array. Use this step when you have completed the generation of all metabolite spin systems for a given 1D proton NMR simulation and need to convert to the frequency domain for display or analysis.1617## When NOT to use1819- Input is already a 2D COSY, HSQC, or HMQC correlation spectrum (apply 2D Fourier transformation instead, with indirect-dimension evolution).20- Input FID has not yet been convoluted with a realistic lineshape function (apply lineshape broadening before Fourier transformation to ensure realistic peak widths).21- Spectra are to be generated for nuclei other than 1H (e.g., 13C or 31P), where chemical shift ranges and J-coupling patterns differ.2223## Inputs2425- Combined 1D free-induction decay (FID) array from simulated metabolite spin systems26- Time-domain array with lineshape-broadened multiplets for each metabolite27- Receiver offset and spectral width parameters (Hz)2829## Outputs3031- Frequency-domain 1H NMR spectrum (complex or magnitude array)32- Chemical shift axis (ppm or Hz)33- HDF5 or netCDF spectral array file compatible with standard NMR formats3435## How to apply3637After constructing the combined 1D FID by superposing individual metabolite contributions (each accounting for chemical shift, J-coupling, and lineshape broadening), apply a discrete Fourier transformation to convert from the time domain to the frequency domain. This produces a complex-valued or magnitude spectrum indexed by chemical shift (typically expressed in ppm relative to a reference like tetramethylsilane). The Fourier-transformed output should yield peaks at positions corresponding to the metabolite 1H chemical shifts, with multiplet fine structure (doublets, triplets, etc.) preserved by the prior J-coupling simulation. Save the resulting frequency-domain spectrum in a standard NMR data format (HDF5 or netCDF) for downstream visualization or quantitative analysis.3839## Related tools4041- **MetAssimulo 2** (Web application that orchestrates 1D and 2D metabolomic 1H NMR spectral simulation, including FID generation, Fourier transformation, and output in HDF5/netCDF format) — https://github.com/yanyan5420/MetAssimulo_24243## Examples4445```46python3 apps/index.py -p Input/parameters.txt47```4849## Evaluation signals5051- Frequency-domain spectrum peaks align with the known 1H chemical shifts of input metabolites (within ±0.05 ppm tolerance for standard aqueous NMR).52- Multiplet fine structure (coupling patterns from J-values) is preserved and visible in the transformed spectrum.53- Peak intensity ratios in the frequency domain match the relative metabolite concentrations and proton counts input to the simulation.54- Output file format (HDF5 or netCDF) is readable by standard NMR software and contains expected metadata (axis labels, chemical shift scale, acquisition parameters).55- Real and imaginary components (if retained) show conjugate symmetry properties expected from a real-valued time-domain signal.5657## Limitations5859- First-order or density-matrix NMR simulation assumptions may fail for strongly coupled or overlapping spin systems at low magnetic field strength; the article does not specify handling of these edge cases.60- Lineshape broadening is applied as Lorentzian or Gaussian convolution; realistic lineshapes in metabolomic samples may be more complex (e.g., Voigt profile, field inhomogeneity).61- No changelog or discussion of validation against experimental spectra is provided in the available documentation.62- The README does not specify numerical precision (32-bit vs. 64-bit float), zero-filling strategy, or apodization window parameters, which can affect spectral resolution and artifact magnitude.6364## Evidence6566- [other] Combine individual metabolite spectra into a single 1D FID and apply Fourier transformation to produce frequency-domain 1H NMR spectrum.: "Combine individual metabolite spectra into a single 1D FID and apply Fourier transformation to produce frequency-domain 1H NMR spectrum."67- [other] Convolve simulated multiplets with a Lorentzian or Gaussian lineshape function to approximate realistic peak broadening.: "Convolve simulated multiplets with a Lorentzian or Gaussian lineshape function to approximate realistic peak broadening."68- [other] Save simulated 1D and 2D spectra as HDF5 or netCDF spectral arrays compatible with standard NMR data formats.: "Save simulated 1D and 2D spectra as HDF5 or netCDF spectral arrays compatible with standard NMR data formats."69- [other] Generate theoretical spin multiplets using first-order or density-matrix NMR simulation for each spin system, accounting for chemical shift and J-coupling.: "Generate theoretical spin multiplets using first-order or density-matrix NMR simulation for each spin system, accounting for chemical shift and J-coupling."
