13C-NMR Spectrum Analyzer online Tool - with 130+ Solved Examples

13C-NMR Spectrum Analyzer online Tool - Carbon-13 NMR Interpretation with 130+ Solved Examples, Carbon-13 nuclear magnetic resonance.

Explore carbon-13 NMR interpretation with our 13C-NMR Spectrum Analyzer online Tool. Featuring 120+ fully solved examples covering alkanes, aromatics, heterocycles, pharmaceuticals, and complex organic structures. A must-have for chemistry students, researchers, and educators.

💡 This tool offers more than just a spectrum. Use the "Show Analysis Steps" button to see a breakdown of chemical shifts, DEPT interpretation, and splitting patterns. You can also save the spectrum as a PNG image or export the data as a CSV file for your records.

¹³C-NMR Spectrum Analyzer

Enter a chemical name or structure (e.g., Ethanol or CH3CH2OH), or select from the examples below.

Your ¹³C-NMR analysis results will appear here.

Understanding ¹³C-NMR Spectroscopy

Carbon-13 NMR (¹³C-NMR) is a crucial analytical technique that provides information about the carbon skeleton of a molecule. Since the ¹³C isotope is only about 1.1% abundant, the technique is less sensitive than ¹H-NMR. The spectra are typically run in a "broadband decoupled" mode, which simplifies them greatly by removing C-H splitting, resulting in a spectrum where each unique carbon appears as a single sharp line (a singlet).

Key Information from a ¹³C Spectrum:
1. Number of Signals: Each chemically non-equivalent carbon atom in the molecule gives a distinct signal. This allows you to count the number of different carbon environments. For example, in ethanol (CH₃CH₂OH), there are two signals because there are two unique carbon environments.
2. Chemical Shift (δ): The position of a signal (typically in the range of 0-220 ppm) tells you about the type of carbon atom. For instance, sp³ carbons (like in alkanes) appear upfield (0-50 ppm), while sp² carbons (like in alkenes or carbonyls) and sp carbons (alkynes) appear much further downfield.

Note on Peak Heights: While not strictly quantitative, the heights of peaks in a ¹³C-NMR spectrum are often different. Carbons with no attached hydrogens (quaternary carbons, like C=O) typically give much weaker (shorter) signals than carbons with attached hydrogens (CH, CH₂, CH₃) due to relaxation effects and the Nuclear Overhauser Effect (NOE). This tool simulates this behavior to provide a more realistic spectrum.

Disclaimer: This tool is for educational purposes only. The predicted spectra are based on a curated database and are excellent for learning but may not perfectly match experimental spectra.


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