Reading ¹H and ¹³C NMR — A working chemist's guide to proton, carbon and quantitative spectra
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Reading ¹H and ¹³C NMRA working chemist's guide to proton, carbon and quantitative spectra
For chemists at home at the bench but not fluent in NMR — how to read a proton and a carbon spectrum, separate your compound from the solvent, and turn integration into a purity figure.
NMR Series
- Part 1 — Reading ¹H and ¹³C NMR (this article)
- Part 2 — Reading ¹⁹F, ³¹P and ¹¹B NMR
- Part 3 — Reading 2D NMR: COSY, HSQC and HMBC
An NMR spectrum is read, not decoded — and the everyday reading skill is separate from the spin physics beneath it, which you do not need to interpret a routine spectrum.
This guide covers that skill for the two experiments you run constantly: what a ¹H and a ¹³C spectrum each tell you, how to tell your compound from the solvent, and how full relaxation plus a weighed standard turns integration into an absolute purity.
What NMR measures
Two experiments cover almost all routine structure work. They answer different questions, and they look different because the two nuclei differ sharply in natural abundance and sensitivity.
The two everyday experiments
| ¹H | ¹³C | |
|---|---|---|
| Natural abundance | ~99.98% | 1.1% |
| Sensitivity | high — seconds to minutes | low — minutes to hours (many scans) |
| What you read | proton count, environments, coupling to neighbours | the carbon skeleton |
| Typical appearance | integrated multiplets | one sharp line per distinct carbon (decoupled); usually not integrated |
A ¹H spectrum carries three independent readouts at once — position, area and splitting — and each answers a different question about your molecule.
Reading a ¹H spectrum
Chemical shift (δ) — the environment
Position, in parts per million, reports the electronic environment of a proton: electron-poor environments (near oxygen, or an aromatic ring) sit downfield, at higher δ. A working map:
¹H chemical shift · approximate regions
| δ (ppm) | Typical protons |
|---|---|
| 0.8 – 2.0 | alkyl C–H (CH₃, CH₂, CH) |
| 2.0 – 3.0 | C–H next to a carbonyl or ring (CH₃CO, ArCH₃, benzylic) |
| 3.0 – 4.5 | C–H next to N or O (OCH₃, NCH₂, OCH) |
| 4.5 – 6.5 | vinyl =CH; some O–CH |
| 6.5 – 8.5 | aromatic Ar–H |
| 9.5 – 10.0 | aldehyde CHO |
| 10 – 13 | carboxylic acid; exchangeable OH / NH |
Exchangeable protons — OH, NH, COOH — shift with solvent, concentration and temperature and can appear anywhere in the lower band; treat their positions as indicative, not fixed.
Integration — how many
Peak area is proportional to the number of protons giving that signal. Read the areas as a ratio, and the ratio is a proton count.

Coupling: the neighbours, and J
Two protons a few bonds apart sense each other's spin through the bonding electrons — this is scalar, or J, coupling. A neighbour's spin points either with the field or against it, with equal probability, and each case nudges the observed proton's frequency slightly higher or lower. So a proton with one neighbour resonates not at a single frequency but at two, split evenly about where its line would otherwise have been — a doublet. The gap between those two lines is the coupling constant, J, quoted in Hz. Two properties make it useful: J is shared exactly by both partners — the same value appears in each of their multiplets — and, unlike chemical shift, it does not change with the spectrometer, so a 7 Hz coupling is 7 Hz at 300 MHz or at 900 MHz.
Add more equivalent neighbours and the pattern builds up in a fixed way: n equivalent neighbours give n + 1 lines, with intensities following Pascal's triangle.
Multiplicity · the n + 1 rule
| Neighbours (n) | Lines | Pattern | Intensities |
|---|---|---|---|
| 0 | 1 | singlet | 1 |
| 1 | 2 | doublet | 1 : 1 |
| 2 | 3 | triplet | 1 : 2 : 1 |
| 3 | 4 | quartet | 1 : 3 : 3 : 1 |
The size of J is diagnostic in its own right: it depends on how the two protons are connected and, for vicinal pairs, on the geometry between them.
Representative ¹H–¹H coupling constants (Hz)
| Coupling | Typical J | Reads as |
|---|---|---|
| Geminal, ²J (H–C–H) | 10–16 | two H on one CH₂, inequivalent |
| Vicinal, ³J (free rotation) | 6–8 | open-chain CH–CH |
| Vicinal, ³J (ring, ax–ax) | 8–12 | trans-diaxial (≈180° dihedral) |
| Vicinal, ³J (ring, ax–eq / eq–eq) | 2–5 | small dihedral (≈60°) |
| Alkene, ³J (cis) | 6–12 | Z double bond |
| Alkene, ³J (trans) | 12–18 | E double bond |
| Aromatic, ³J (ortho) | 7–9 | adjacent ring H |
| Aromatic, ⁴J (meta) | 1–3 | 1,3 ring H |
| Aromatic, ⁵J (para) | 0–1 | 1,4 ring H (often unresolved) |
Vicinal ³J follows the Karplus relationship — largest near 0° and 180° dihedral, near zero around 90° — which is exactly why it reads out ring stereochemistry and alkene E/Z geometry from the number alone.
One step past the n+1 rule, and the step that matters most in real spectra: a proton coupled to two different neighbours does not give a clean n+1 multiplet. Two different J values give a doublet of doublets (dd); a third gives a ddd or a doublet of triplets, and so on. Count the couplings, not just the lines — a four-line signal may be a quartet (three equivalent neighbours) or a dd (two inequivalent ones), and only the spacings tell them apart.
These rules are the first-order picture. When two coupled signals lie close in chemical shift relative to their J, their multiplets lean toward each other — inner lines grow, outer lines shrink, an effect called roofing — and exact intensities and spacings then need a full analysis. Roofing is itself useful: it points to which signals are coupled to one another.
Reading a ¹³C spectrum
A ¹³C spectrum looks sparse and clean for two reasons: at 1.1% abundance the carbons are dilute and need many scans, and routine ¹³C is proton-decoupled — so each chemically distinct carbon collapses to a single sharp line, with no coupling and normally no integration.
¹³C chemical shift · approximate regions
| δ (ppm) | Carbon type |
|---|---|
| 0 – 50 | alkyl C (CH₃, CH₂, CH, quaternary) |
| 50 – 90 | C–O and C–N (OCH₃, C–OH, C–N) |
| 90 – 150 | alkene and aromatic C |
| 110 – 125 | nitrile C≡N |
| 160 – 185 | carboxylic acid, ester, amide C=O |
| 190 – 220 | aldehyde, ketone C=O |
Getting an integral you can trust — and quantitative NMR
An integral is only as good as the conditions it was measured under, and even a careful one is semi-quantitative at best. Five things separate a trustworthy integral from a misleading one:
What makes a good integration
- Full relaxationA recycle delay long enough for every signal to return to equilibrium between scans — in practice ≥ 5 × T₁ for the slowest-relaxing proton. Under-relaxed peaks integrate low.
- Adequate signal-to-noiseBaseline noise adds directly to the measured area, so a weak signal integrated against noise carries a large error. Enough transients to lift every peak well clear of the noise is a precondition, not a refinement.
- A flat, drift-corrected baselineA sloping or rolling baseline is integrated along with the peak, and the wider the integration range the more area it wrongly adds or removes. Baseline offset and curvature — from distortion of the first points of the FID and from the receiver filters — are routine; apply baseline (drift) correction first, then set the integral limits over a genuinely flat stretch.
- A resolved signalOne analyte resonance clear of the internal standard, the residual solvent and any impurity — anything overlapping it is integrated as part of it.
- Integration limits set wideNMR lines are Lorentzian, and the wings carry more area than they appear to: only about half a line's area falls within its width at half height, and roughly 1% still lies beyond ±30 line-widths. Draw the integral well wider than the visible peak, or the clipped tails make the signal read low.
Even measured this way, a bare integral gives only relative proportions. To turn it into an absolute purity — the assay figure on a certificate — you add a weighed internal standard of certified purity: the mole ratio taken from the two integrals gives absolute content. That is quantitative NMR (qNMR), and it stays a demanding measurement rather than a routine one.

Working the assay from the integrals
Two mole ratios do the whole job — one you measure from the spectrum, one you fix on the balance — and the purity is just the first over the second.
Observed — from the integrals (moles go as integral ÷ protons):
nA/nS = (IA/NA) ÷ (IS/NS) = (12.01/12) ÷ (14.30/9) = 0.63
Weighed in — the ratio you would get if the analyte were 100% pure, from the masses and molar masses:
nA/nS = (mA/MA) ÷ (mS/MS)
Purity — how far the measured ratio falls short of the weighed-in one:
P (%) = 100 × (nA/nS)observed / (nA/nS)weighed
I = integral · N = protons per signal · m = weighed mass · M = molar mass. A certified standard is taken as pure; if not, multiply by its own purity.
This is the basis of every purity figure NorrChemica reports, and of our NMR analysis service.
The peaks that aren't yours: solvent, water and contaminants
Every real spectrum shows peaks from the deuterated solvent, the water it carries, and whatever else came through with the sample. None of these belong to your compound, and reading one as an analyte signal is among the commonest mistakes. This is a lookup, so it is meant to be complete rather than short — three reference tables:
¹H NMR · residual solvent and water (δ, ppm)
| Solvent | Residual ¹H signal | H₂O |
|---|---|---|
| CDCl₃ | 7.26 | 1.56 |
| CD₂Cl₂ | 5.32 | 1.52 |
| Acetone-d₆ | 2.05 | 2.84 |
| DMSO-d₆ | 2.50 | 3.33 |
| CD₃CN | 1.94 | 2.13 |
| CD₃OD | 3.31 | 4.87 |
| C₆D₆ | 7.16 | 0.40 |
| D₂O | — | 4.79 |
| THF-d₈ | 1.72, 3.58 | 2.46 |
| Toluene-d₈ | 2.08; 6.97–7.09 | 0.43 |
¹³C NMR · residual solvent (δ, ppm)
| Solvent | ¹³C residual signal |
|---|---|
| CDCl₃ | 77.16 |
| CD₂Cl₂ | 53.84 |
| Acetone-d₆ | 29.84, 206.26 |
| DMSO-d₆ | 39.52 |
| CD₃CN | 1.32, 118.26 |
| CD₃OD | 49.00 |
| C₆D₆ | 128.06 |
| THF-d₈ | 25.31, 67.21 |
| Toluene-d₈ | 20.43, 125.13, 127.96, 128.87, 137.48 |
The residual-solvent line is fixed and doubles as a secondary chemical-shift reference; the water position drifts with solvent, concentration and temperature, so treat it as approximate.
The other everyday culprits are the contaminants themselves — grease from a joint, the solvent you crystallised from, a standard you added. The most common, in the two workhorse solvents:
Common ¹H contaminants · CDCl₃ and DMSO-d₆ (δ, ppm)
| Contaminant | CDCl₃ | DMSO-d₆ |
|---|---|---|
| Water | 1.56 | 3.33 |
| TMS | 0.00 | 0.00 |
| Silicone grease | 0.07 | −0.06 |
| Grease (aliphatic) | 0.86, 1.25 | 0.85, 1.24 |
| Hexamethyldisiloxane | 0.07 | 0.06 |
| Acetone | 2.17 | 2.09 |
| Acetic acid | 2.10 | 1.91 |
| Acetonitrile | 2.10 | 2.07 |
| Benzene | 7.36 | 7.37 |
| tert-Butanol | 1.28 | 1.11 |
| Chloroform | 7.26 | 8.32 |
| Cyclohexane | 1.43 | 1.40 |
| Dichloromethane | 5.30 | 5.76 |
| Diethyl ether | 1.21 t, 3.48 q | 1.09 t, 3.38 q |
| 1,4-Dioxane | 3.71 | 3.57 |
| DMF | 8.02, 2.96, 2.88 | 7.95, 2.89, 2.73 |
| Ethanol | 1.25 t, 3.72 q | 1.06 t, 3.44 q |
| Ethyl acetate | 2.05, 4.12 q, 1.26 t | 1.99, 4.03 q, 1.17 t |
| n-Hexane | 0.88, 1.26 | 0.86, 1.25 |
| Methanol | 3.49 | 3.16 |
| n-Pentane | 0.88, 1.27 | 0.86, 1.27 |
| 2-Propanol | 1.22 d, 4.04 sept | 1.04 d, 3.78 sept |
| Pyridine | 8.62, 7.68, 7.29 | 8.58, 7.79, 7.39 |
| Tetrahydrofuran | 3.76, 1.85 | 3.60, 1.76 |
| Toluene | 2.36, 7.17–7.25 | 2.30, 7.18–7.25 |
| Triethylamine | 1.03 t, 2.53 q | 0.93 t, 2.43 q |
Values from Gottlieb (1997) and Fulmer (2010); water and exchangeable-proton positions depend on concentration and temperature.
NMR Analysis from NorrChemica
We run quantitative and structural NMR — ¹H, ¹³C, ¹⁹F, ³¹P and ¹¹B — on your samples worldwide, with a clear written report and fast turnaround. Research use only.
Request NMR Analysis → About the NMR ServiceKey references
H. E. Gottlieb, V. Kotz, A. Nudelman. NMR Chemical Shifts of Common Laboratory Solvents as Trace Impurities. J. Org. Chem. 1997, 62, 7512–7515.
G. R. Fulmer, A. J. M. Miller, N. H. Sherden, H. E. Gottlieb, A. Nudelman, B. M. Stoltz, J. E. Bercaw, K. I. Goldberg. NMR Chemical Shifts of Trace Impurities: Common Laboratory Solvents, Organics, and Gases in Deuterated Solvents Relevant to the Organometallic Chemist. Organometallics 2010, 29, 2176–2179.
T. D. W. Claridge. High-Resolution NMR Techniques in Organic Chemistry, 3rd ed.; Elsevier, 2016 — on integration accuracy, baseline correction and relaxation.
About the spectra
Every spectrum in this guide is real NorrChemica QC data, acquired in-house on the batches we supply. We also run NMR analysis as a service — worldwide, on your samples.
NMR Series
- Part 1 — Reading ¹H and ¹³C NMR (this article)
- Part 2 — Reading ¹⁹F, ³¹P and ¹¹B NMR
- Part 3 — Reading 2D NMR: COSY, HSQC and HMBC
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