interpret-nmr-spectrum
정보
이 스킬은 1차원 및 2차원 NMR 데이터(예: 1H, 13C, COSY, HSQC)를 분석하여 화학적 이동을 배정하고, 커플링 패턴을 해석하며, 다차원 상관관계를 통합합니다. 이를 통해 일관된 구조 단편을 제안함으로써 미지의 분자 구조를 규명하거나 합성 생성물을 확인하는 데 사용됩니다. 개발자들은 복잡하고 중첩된 데이터를 다룰 때 체계적인 스펙트럼 해석을 위해 이 스킬을 적용할 수 있습니다.
빠른 설치
Claude Code
추천npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/interpret-nmr-spectrumClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
Interpret NMR Spectrum
Analyze 1D + 2D NMR → assign peaks, determine coupling, propose structural fragments consistent w/ all data.
Use When
- Structure of unknown organic compound from NMR
- Confirm identity + purity of synthesized product
- Assign peaks in complex spectra w/ overlap
- Correlate multi-exp (1H, 13C, DEPT, COSY, HSQC, HMBC) → unified picture
- Distinguish regioisomers / stereoisomers / conformational
In
- Req: NMR data (min 1H w/ shifts, multiplicities, integration)
- Req: Mol formula / MW (from MS, EA)
- Opt: 13C + DEPT (shifts + multiplicities)
- Opt: 2D (COSY, HSQC, HMBC, NOESY/ROESY correlation tables)
- Opt: Solvent + field strength
- Opt: Known constraints (rxn starting material, IR confirmed groups)
Do
Step 1: Spectrum Type + Acquisition
Establish what data + quality before interpret:
- ID exp types: Catalog which avail (1H, 13C, DEPT-135, DEPT-90, COSY, HSQC, HMBC, NOESY, ROESY, TOCSY). Note nucleus + dimensionality.
- Acquisition params: Spectrometer freq (400 MHz, 600 MHz), solvent, temp, ref standard.
- Solvent + ref peaks: Locate + exclude.
| Solvent | 1H Residual (ppm) | 13C Signal (ppm) |
|---|---|---|
| CDCl3 | 7.26 | 77.16 |
| DMSO-d6 | 2.50 | 39.52 |
| D2O | 4.79 | -- |
| CD3OD | 3.31 | 49.00 |
| Acetone-d6 | 2.05 | 29.84, 206.26 |
| C6D6 | 7.16 | 128.06 |
- Quality: Baseline flatness, multiplet res, S/N. Flag artifacts (spinning sidebands, 13C satellites, solvent impurity H2O ~1.56 ppm CDCl3).
→ Inventory of exps, solvent/ref peaks excluded, quality assessed.
If err: Poor S/N / severe baseline distortion → note limitation + cautious. Flag peaks indistinguishable from noise.
Step 2: 1H Chemical Shifts
Assign each 1H → environment using shift ranges:
- Tabulate: Per peak → shift (ppm), multiplicity, J (Hz), rel int.
- Classify by shift:
| Range (ppm) | Environment | Examples |
|---|---|---|
| 0.0--0.5 | Shielded (cyclopropane, M-H) | Cyclopropyl H, metal hydrides |
| 0.5--2.0 | Alkyl (CH3, CH2, CH) | Saturated aliphatic chains |
| 2.0--4.5 | Alpha to heteroatom/unsaturation | -OCH3, -NCH2, allylic, benzylic |
| 4.5--6.5 | Vinyl / olefinic | =CH-, =CH2 |
| 6.5--8.5 | Aromatic | ArH |
| 9.0--10.0 | Aldehyde | -CHO |
| 10.0--12.0 | Carboxylic acid | -COOH |
| 0.5--5.0 (broad, exchangeable) | OH, NH | Alcohols, amines, amides |
- Count H: Integration ratios rel to formula → # protons per signal. Normalize simplest whole-# ratio.
- Exchangeable protons: Signals disappear on D2O shake (OH, NH, COOH) = exchangeable. Record presence + shift.
→ Table of 1H signals w/ shift, multiplicity, J, integration (# H), prelim env assignment.
If err: Integration doesn't sum to expected → check overlapping, broad peaks hidden in baseline, wrong formula.
Step 3: Coupling Patterns + J-Values
Extract connectivity from splitting:
- Multiplicities: s, d, t, q, dd, etc. Complex m → estimate # coupling partners.
- Measure J: Extract Hz. Match reciprocal (if H_A ↔ H_B J = 7.2, H_B shows same J to H_A).
- Classify J:
| J Range (Hz) | Coupling Type |
|---|---|
| 0--3 | Geminal (2J) or long-range (4J, 5J) |
| 6--8 | Vicinal aliphatic (3J) |
| 8--10 | Vicinal with restricted rotation |
| 10--17 | Vicinal olefinic cis (6--12) or trans (12--18) |
| 0--3 | Aromatic meta |
| 6--9 | Aromatic ortho |
- Map coupling networks: Group mutually coupled protons → spin systems. Each = connected frag.
- Roof effect: AB-type → inner lines of doublets more intense → chemical shift proximity.
→ All J measured + matched reciprocally, spin systems ID'd, coupling types classified.
If err: Multiplets too complex for first-order → note higher-order pattern. Overlapping / strongly coupled (δν/J < 10) → non-first-order requires simulation.
Step 4: 13C + DEPT
Determine C types + count:
- Count distinct 13C signals: Compare # peaks vs formula. Fewer → symmetry.
- Classify by shift:
| Range (ppm) | Carbon Type | Examples |
|---|---|---|
| 0--50 | sp3 Alkyl | CH3, CH2, CH, quaternary C |
| 50--100 | Alpha to O or N | -OCH3, -OCH2, anomeric C |
| 100--150 | Aromatic / vinyl | =CH-, ArC |
| 150--170 | Heteroaromatic / enol / imine | C=N, C-O aromatic |
| 170--185 | Carboxyl / ester / amide | -COOH, -COOR, -CONR2 |
| 185--220 | Aldehyde / ketone | -CHO, >C=O |
- DEPT editing: DEPT-135 (CH + CH3 up, CH2 down, quaternary absent) + DEPT-90 (CH only) → # attached H per C.
- DBE: DBE = (2C + 2 + N - H - X) / 2. Compare # π bonds + rings implied.
→ Every 13C signal classified by type (CH3, CH2, CH, C) + env, DBE consistent w/ observed groups.
If err: No DEPT → infer H attachment from HSQC (Step 5). C count ≠ formula → coincident signals / quaternary Cs in noise.
Step 5: 2D NMR
Build connectivity using 2D exps:
- COSY (1H-1H): Which H 2-3 bonds apart. Map cross-peaks → confirm+extend spin systems Step 3.
- HSQC (1H-13C 1-bond): Assign each H → directly bonded C. Links 1H + 13C unambiguously.
- HMBC (1H-13C long-range): 2-3 bond H-C. Critical for connecting frags across quaternary C, heteroatoms, carbonyls w/o direct H-C.
- NOESY/ROESY (through-space): H's spatially close (<5 Å) regardless bonding. → Stereochem + conformational.
- Build frag connectivity: HMBC → connect COSY spin systems → larger frags. Each HMBC cross-peak = 2-3 bond H-C path.
→ Connectivity map linking spin systems into coherent framework + stereochem from NOE where avail.
If err: 2D incomplete / ambiguous → note tentative connections. Multiple proposals poss. Prioritize HMBC → bridges gaps COSY can't.
Step 6: Propose + Validate Structure
Assemble frags → complete proposal:
- Assemble: Connect frags Steps 2-5 using HMBC + DBE constraints.
- Check formula: Proposed matches formula exactly (atom count, DBE).
- Back-predict shifts: For proposed → predict 1H + 13C shifts. Compare observed; deviations > 0.3 ppm (1H) / > 5 ppm (13C) → re-examine.
- Verify all correlations: Every COSY, HSQC, HMBC explained. Unexplained → error / impurity.
- Alternatives: Multiple structures fit → list distinguishing exps / correlations.
- Stereochem: NOE + J analysis (Karplus for dihedral) + known conformational prefs → relative + (where poss) absolute.
→ Single best-fit proposal w/ all NMR accounted, or ranked candidates + plan to distinguish.
If err: No single structure → check: mixture (extra peaks non-integer int), dynamic processes (broad peaks from conformational exchange), paramagnetic impurities (anomalous broadening). Re-examine formula if multiple equally viable.
Check
- Solvent + ref peaks ID'd + excluded
- Every 1H signal → shift region, multiplicity, J, integration
- J reciprocal (matched between partners)
- 13C classified by DEPT multiplicity + shift
- DBE calc + consistent w/ proposed
- 2D (COSY, HSQC, HMBC) all explained
- Proposed matches formula exactly
- Back-predicted shifts agree w/ observed within tolerance
- Stereochem via NOE / J where applicable
Traps
- Ignore solvent peaks: Common solvents → signals overlap analyte. Always ID + exclude residuals, water, grease.
- Force 1st-order on 2nd-order: Strongly coupled nuclei (small Δshift rel J) → distorted multiplets, can't interpret w/ simple n+1. Roof effects + non-binomial intensity → indicators.
- Overlook exchangeable: OH + NH may be broad, shift w/ conc/temp, absent in protic solvents. D2O shake → clarifies.
- Assume all 13C visible: Quaternary Cs → long relax times + low int. May be absent short-acquisition. HMBC often only way to detect.
- Misinterpret HMBC artifacts: HMBC → 1-bond artifacts (mis-assigned long-range) + weak 4-bond. Cross-check w/ HSQC → filter 1-bond leakthrough.
- Neglect symmetry: Fewer 13C peaks than formula → symmetry element. Account before proposing.
→
interpret-ir-spectrum— func groups → constrain NMR structureinterpret-mass-spectrum— formula + frag for cross-valinterpret-uv-vis-spectrum— chromophores + conjugation extentinterpret-raman-spectrum— complementary vibrational → symmetric modesplan-spectroscopic-analysis— select + sequence techniques pre-acquisition
GitHub 저장소
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