Structural Elucidation of Small Organic Molecules by 1D, 2D and Multi Dimensional-Solution NMR Spectroscopy

Neeraj Kumar Fuloria^* and Shivkanya Fuloria

Anuradha College of Pharmacy, Amravati University, Maharashtra, India

*Corresponding Author:

Dr. Neeraj Kumar Fuloria
M.Pharm (Pharmaceutical Chemistry)
Head, M.Pharm (Quality Assurance)
Anuradha College of Pharmacy
Chikhli, Buldhana, Maharashtra, India
Tel: 8805680423
E-mail: nfuloria@gmail.com, nfuloria@rediffmail.com

Received date: January 10, 2013; Accepted date: January 30, 2013; Published date: February 07, 2013

Citation: Fuloria NK, Fuloria S (2013) Structural Elucidation of Small Organic Molecules by 1D, 2D and Multi Dimensional-Solution NMR Spectroscopy. J Anal Bioanal Tech S11:001. doi: 10.4172/2155-9872.S11-001

Copyright: © 2013 de Francisco TMG, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

For the last fifty years nuclear magnetic resonance spectroscopy, generally referred as NMR, is one of the most versatile techniques for elucidation of structure of organic compounds. Among all available spectrometric methods, NMR is the only technique which offers a complete analysis and interpretation of the entire spectrum. Due to improved experimental technology and novel approaches, over the last decade nuclear magnetic resonance (NMR) has shown a tremendous progress. Generally, NMR spectroscopy makes use of three approaches; those are one dimension (1D), two dimensions (2D) and three dimensions (3D). Usually, the first approach of 1D-NMR (1H DEPT, 13C, 15N, 19F, 31P, etc.) generates good information about the structure of simple organic compounds, but in case of larger molecules the 1D-NMR spectra are generally overcrowded. Hence, the second approach of 2D-NMR (COSY, DQFCOSY, MQFCOSY, HETCOR, HSQC, HMQC, HMBC, TOCSY, NOESY, EXSY, etc.) is used for the further larger molecules, but 2D-NMR spectra also becomes complex and overlapping when used for further very large molecules like proteins. Hence, so as to achieve high resolution and reduced overlapping in spectra of very large molecules, Multi Dimensional-NMR (Homonuclear and Heteronuclear) are generally used. This paper supports interpretation of structure of different organic compounds by different NMR techniques.

Keywords

NMR; COSY; 1D; 2D; Multi dimensional

Introduction

NMR spectroscopy was discovered after the second world war and was developed from experiments performed to accurately measure the nuclear magnetogyric ratio about seventy years ago [1]. Purcell et al. at Harvard and Bloch et al. at Stanford in 1945 reported the first observation of nuclear magnetic resonance in bulk matter for which they were jointly awarded with Nobel Prize for physics in 1952. Since then NMR applications to chemistry have been expanding continuously. The importance of NMR spectroscopy is paramount in the fields of organic, inorganic and analytical chemistry for the investigation of molecular structure and dynamics [2]. In the recent years, the applications of NMR have been extended to biology and medicine, so they have also become an integral part of life sciences. As the objective of life sciences is to understand the mechanisms of life at molecular level, so, it has inspired the investigators to study the interaction between and among biomolecules, also between biomolecules and ligands through NMR spectroscopy. NMR facilitates three-dimensional (3D) structure determination of biomolecules in high resolution and also provides information on their dynamics at an atomic level. In last two decades the tremendous technological and methodological advancements in NMR spectroscopy has proved it to be a powerful tool in structural biology [3].

The technical advancement in NMR is attributed to availability of large magnetic field strengths and increasingly refined probes, which resulted in increased sensitivity, resolution, reduction in amount of sample for data collection and development of procedures for isotope labeling and structure determination of proteins. The investigation of size of biomolecules through NMR in solution is steadily growing method. NMR spectroscopy has contributed immensely to structural genomics initiatives world-wide, which aim at exploring the protein ‘fold space’ and making available at least one experimental structure for each family of protein sequence homologues [3]. NMR spectroscopy has been a tool of great importance in identification and characterization of organic [4], inorganic and organometallic [5] and natural products [6]. NMR spectrometry is an analytical technique that involves placement of atomic nuclei in an external magnetic field, to cause generation of two spin states of unequal energy. Low energy spin state nuclei absorb energy of radiofrequency range to change their spin orientation with respect to applied magnetic field. Thereby the absorption frequencies peaks are plotted against peak intensities to offer an NMR spectrum [7].

NMR is a powerful technique that provides detailed information on topology, dynamics and 3D structure of molecules, in MRI [7]. Nowadays, NMR probably is the most important technique for structure elucidation, material characterization and studying molecular motion. Continuing efforts have been made to develop different NMR methods so as to obtain more information from NMR measurements, a number of experiments such as 1D-NMR (¹H DEPT, ¹³C, ¹⁵N, ¹⁹F, ³¹P, etc.), 2D-NMR (COSY, DQFCOSY, MQFCOSY, HETCOR, HSQC, HMQC, HMBC, TOCSY, NOESY, EXSY, etc.) and Multidimensional-NMR (Homonuclear and Heteronuclear) are developed [7-26]. This paper focuses mainly on interpretation of structure of different organic compounds by different NMR techniques. A few of the strategies of NMR experiments that are used in determination of different compounds are described as follows.

1D-NMR

¹H-NMR: In ¹H-NMR spectroscopy, spin transitions of only hydrogen nuclei are noticed. Interpretation of ¹H-NMR spectra can be well understood from data presented in table 1 representing different δ values, couplings, coupling constants and chemical shifts of ¹H nuclei processing in different chemical environments. Commonly, δ value scale of ¹H-NMR ranges from 0-10 ppm with respect to Tetra methyl Silane (TMS) as internal standard.

Table 1: ∂ Values, couplings and coupling constants of different ¹H nuclei¹⁰.

The chemical shift range of ¹H nuclei can also be understood from a chart given in figure 1.

Figure 1: Chart representing ¹H nuclei chemical shift due to different chemical environments.

For example ¹H-NMR spectrum of Ethyl-2-butenoate in CDCl₃ given in figure 2a, represents five different signals at 1.3, 1.7, 4.2, 5.8, and 6.9 ppm respectively corresponding to a, f, b, d and e hydrogen’s respectively.

Figure 2a: ¹H-NMR proton coupled spectrum of Ethyl-2-butenoate in CDCl₃.

The multiplicity of peaks of ¹H-NMR spectrum of Ethyl-2- butenoate in CDCl₃ is confirmed by observing its decoupled peaks in ¹H-NMR decoupled spectrum given in figure 2b. Similarly, ¹H-NMR spectra of other compounds can be determined.

Figure 2b: ¹H-NMR proton decoupled spectrum of Ethyl-2-butenoate in CDCl₃.

¹³C-NMR: In ¹³C-NMR spectroscopy also transitions of only ¹³C nuclei are noticed. ¹³C-NMR spectral interpretation can be best understood from chart given in figure 3, representing different δ values (in ppm), couplings, coupling constants (in Hz) and chemical shifts of ¹³C nuclei processing in different chemical environments. Usually, δ value scale of ¹³C-NMR ranges from 0-220 ppm with respect to TMS as internal standard.

Figure 3: Chart representing ¹³C nuclei chemical shift due to different chemical environments.

For example ¹³C-NMR spectrum of Ethyl-2-butenoate in CDCl₃, given in figure 4, represents six different signals at 14.2, 18.6, 61.4, 122.6, and 144.4 and 166.5 ppm, corresponding to a, f, b, d, e and c carbons respectively.

Figure 4: ¹³C-NMR proton decoupled spectrum of Ethyl-2-butenoate in CDCl₃.

¹⁵N-NMR: In case of ¹⁵N-NMR spectroscopy transitions of ¹⁵N nuclei are noticed. ¹⁵N-NMR spectral interpretation can be best understood from chart given in figure 5, representing different δ values (in ppm), couplings, coupling constants (in Hz) and chemical shifts of ¹⁵N nuclei processing in different chemical environments. In practice, δ value scale of ¹⁵N-NMR ranges from 0-850 ppm using liquid ammonia as standard.

Figure 5: Chart representing ¹⁵N nuclei chemical shift due to different chemical environments.

For example ¹⁵N-NMR spectrum of formamide in CDCl₃ exhibits a signal for nitrogen nuclei at 112.5 ppm. Whereas ethane 1,2 diamine in CDCl₃ exhibits signal for nitrogen nuclei at 12.2 ppm (Figure 6).

Figure 6: ¹⁵N-NMR proton decoupled spectrum of formamide and ethane 1, 2 diamine in CDCl₃.

³¹P-NMR: In ³¹p-nmr spectroscopy only ³¹p nuclei are observed. ³¹P -nmr spectral interpretation can be best understood from chart given in figure 7, representing different δ values, couplings, coupling constants and chemical shifts of ³¹P nuclei processing in different chemical environments. Usually, δ value scale of ³¹P-nmr ranges from -140-250 ppm with respect to 85% phosphoric acid as internal standard.

Figure 7: Chart representing ³¹P nuclei chemical shift due to different chemical environments.

For example ³¹P-NMR spectrum of Diethyl Chloro Phosphate in CDCl₃ given in figure 8, shows a signal at 5 for ³¹P nuclei.

Figure 8: ³¹P-NMR proton decoupled spectrum of Diethyl Chloro Phosphate in CDCl₃.

¹⁹F-NMR: In ¹⁹F-NMR spectroscopy also transitions of only ¹⁹F nuclei are noticed. ¹⁹F-NMR spectral interpretation can be best understood from chart given in figure 9, representing different δ values, couplings, coupling constants and chemical shifts of ¹⁹F nuclei processing in different chemical environments.

Figure 9: Chart representing ¹⁹F nuclei chemical shift due to different chemical environments.

Usually, δ value scale of ¹⁹F-NMR ranges from -300-50 ppm with respect to CFCl₃ (Tri Fluoro Methane) as standard. For example ¹⁹F-NMR spectrum of fluoroacetone in CDCl₃ given in figure 10, shows a signal at -226 ppm for ¹⁹F nuclei.

Figure 10: ¹⁹F-NMR proton decoupled spectrum of fluoroacetone in CDCl₃.

¹⁷O-NMR: In ¹⁷O-NMR spectroscopy involves transitions of only ¹⁷O nuclei. ¹⁷O-NMR spectral interpretation can be best understood from chart given in figure 11, representing different δ values, couplings, coupling constants and chemical shifts of ¹⁹F nuclei processing in different chemical environments. Commonly, δ value scale of ¹⁷O-NMR ranges from 0-1200 ppm using water or dioxane as internal standards.

Figure 11: Chart representing ¹⁷O nuclei chemical shift due to different chemical environments.

For example ¹⁷O-NMR spectrum of primary, secondary and tertiary alcohol given in figure 12, shows a signal at 30, 50 and 70 ppm for ¹⁷O nuclei.

Figure 12: Chart representing ¹⁷O nuclei proton decoupled chemical shift due to different chemical environments.

DEPT: DEPT is an advance technique to determine the number of hydrogens attached to a given carbon atom. DEPT employs introduction of a complex sequence of pulses in both ¹H and ¹³C channel. In DEPT experiment pulses are selected on the basis of their flip angle such as (π/2)_z with flip angle of 45°, (π/2)_y with 90°, (π/2)_x with 135° and also their delay time. In DEPT- 45 - carbon that possesses hydrogen (number 1 or 2 or 3) shows peak. Where as carbon that doesn’t possess hydrogens does not show any peak. In DEPT-90 -carbon that possesses only one hydrogen, exhibits peak in spectrum, whereas carbon with two or three hydrogen does not show any peak. In DEPT-135-carbon with one and three hydrogens shows positive peaks, whereas, carbon with two hydrogens shows negative peak. So, carbons with different number of hydrogens behave differently with different DEPT experiments. This variation indicates presence of number of hydrogen on each carbon. DEPT requires a Fourier transformed pulse spectrometer with a computer interface. The DEPT interpretation can be very well understood from DEPT spectrum of Ethyl-2-butenoate given in figure 13, which represents conventional spectrum at bottom. DEPT 45 exhibits shows coupled peaks for only those carbons that possess hydrogens, whereas nuclei like ‘c’ carbon does not exhibit any signal as it do not possess any hydrogen. The DEPT 90 exhibits peaks only for those carbon nuclei which possess only one hydrogen. The DEPT 135 spectrum shows two types of signals. One of the types is carbon having two hydrogens that exhibits signal downside. Another type is for carbon having one hydrogen or three hydrogens that exhibits signal upside [7-13].

Figure 13: DEPT spectrum of Ethyl-2-butenoate.

2D NMR

COSY: COSY is a homonuclear 2D NMR correlation spectroscopy. COSY correlates chemical shift of two hydrogen nuclei located on two different carbons that are separated by a single bond via J coupling. Thereby detects the chemical shift for hydrogen’s on both F1 and F2 axis. COSY experiment is categorized as follows:

• Simple COSY

• DQF COSY

• TQF COSY

• MQF COSY

Simple COSY

Simple COSY technique involves simple pulse sequence in which firstly a (π/2)_x pulse is introduced in ¹H channel to create an evolution phase. There after some time a second (π/2)_y pulse is introduced to create an acquisition phase. In ¹H-¹H COSY pulse sequence contains variable relaxation delay time (t₁) and acquisition time (t₂). Experiment is repeated with different values of t₁ and t₂. So that value of t₁ is increased at regular intervals, to generate a series of different FID data during t₂. COSY offers three bond coupling (³J_H-H). The COSY interpretation can be best understood from COSY spectrum of Ethyl-2-butenoate given in figure 14. The off diagonal peaks at point 1, 2, and 3 represents coupling of protons of hydrogens on ‘a’ with ‘b’, ‘e’ with ‘f ’, and ‘e’ with ‘d’ protons of molecule of Ethyl-2-butenoate. There is no cross peak for c because it does not possess any hydrogens.

Figure 14: COSY spectrum of Ethyl-2-butenoate.

DQFCOSY

¹H-¹H DQF COSY is a modified technique of COSY that incorporates a typical pulse sequence, in which firstly a (π/2)_x pulse is introduced in ¹H channel. Nextly, after first pulse a second (π/2)_y pulse with just immediate third (π/2)_z pulse is introduced to eliminate singlet peaks. This simplifies the complex COSY spectrum. The DQF COSY interpretation can be best understood from Ethyl acetate (liquid) in CDCl₃, simple COSY and DQF COSY spectra given in figure 15. In simple COSY spectrum of ethyl acetate the isolated ‘d’ hydrogen produces a singlet cross peak at spot ‘1’. But in case of ¹H-¹H DQF COSY spectrum of ethyl acetate spot ‘1’ is removed and the spectra is simplified.

Figure 15: Ethyl acetate simple COSY and DQF COSY spectra.

TQF COSY

¹H-¹H TQF COSY employs further typical pulse sequence, in which initially a (π/2)_x pulse is introduced in ¹H channel. Which is followed by introduction of a second (π/2)_y pulse along with just immediate third (π/2)_z and fourth (π/2)_z1 pulse. This eliminates singlet and doublet peaks.

MQF COSY

¹H-¹H MQF COSY employs a pulse sequence, in which firstly a (π/2)_x pulse is introduced in ¹H channel. This initial pulse is followed by introduction of a second (π/2)_y pulse along with a just immediate multiple number of (π/2)_zm pulse (as desired). This eliminates triplets or any unwanted multiple peaks and simplifies complex COSY spectrum.

HETCOR: HETCOR is a heteronuclear 2D NMR correlation experiment, which correlates two nuclei e.g. ¹³C or ¹⁵N with hydrogens separated by single bond. This detects chemical shift for hydrogen’s on F1 axis and hetero nucleus on F2 axis. No cross peak signifies no hydrogen present over carbon. One cross peak indicates there can be one, two or three hydrogens. Two cross peaks indicates presence of diastereotype carbon (hydrogen). Interpretation of HETCOR spectra can be understood from HETCOR spectrum of ethyl-2-butenoate given in figure 16.

Figure 16: HETCOR spectrum of Ethyl-2-butenoate.

Peaks at point 1, 2, 3, 4 and 5 accounts for a, b, d, e and f carbons and attached hydrogens couplings. No cross peak for ‘c’ as does not contain any hydrogen so no coupling. Hence, with HETCOR, one can easily determine the single bonded hetero nuclear correlation.

HMQC and HSQC: HSQC is better than HMQC. This can be best supported from HSQC and HMQC spectrum of menthol given in figure 17. So, when high ¹³C resolution is required, then pulses should be calibrated on a well tuned and matched probe and HSQC should be run. But when high ¹³C resolution is not an essential requirement then HMQC can be run.

Figure 17: HSQC and HMQC spectrum of menthol.

HMBC: HMBC is a heteronuclear 2D-NMR correlation spectroscopy. This technique correlates chemical shift of hetero nuclei e.g. ¹³C or ¹⁵N with hydrogens, through a multiple bond. So, detects chemical shift for hydrogen’s nuclei on F2 axis and hetero nuclei on F1 axis. Interpretation of HMBC can be understood from HMBC spectrum given in figure 18.

Figure 18: HMBC spectrum of ethyl benzene.

Line drawn from 16.2 (C-2’) ppm, parallel to ¹H axis, intersects three cross peaks of H-1’, which correlates C-2’ with two H attached on C-1’. Other cross peaks doesn’t show correlation. The line drawn from C-1’ at 29 ppm, intersects one cross peak correlates C-1’ to hydrogens present on C-2’. Similarly, C-1 correlated with hydrogens of C-1’, C-2’ and C-3; C-2 with hydrogens of C-3, C-4, and C-of 1’; C-4 with hydrogens of C-3 and C-2; C-3 with hydrogens of C-2 and C-4; C-4 with hydrogens of C-3 and C-2.

TOCSY: 2D TOCSY (Total Correlation Spectroscopy) is a homonuclear experiment which produces a COSY-like plot. TOCSY possesses two dimensions or axis of ¹H-NMR. A 2D-TOCSY, gives correlations between all protons in a given spin system. Interpretation of TOCSY spectrum can be best learnt from the TOCSY and COSY spectrum of 3-heptanone given in figure 19. TOCSY and COSY spectrum of 3-heptanone can be easily distinguished on the basis of correlation, such as COSY correlations occurs among hydrogens 4-5, 5-6 and 6-7, but not between 4-7 and 5-7. TOCSY correlation occurs between hydrogens 4-7 and 5-7 also. Similarly, other correlations can also be easily distinguished between two spectra of TOCSY and COSY for any given compound.

Figure 19: TOCSY and COSY spectrum of 3-heptanone.

EXSY: This is a homonuclear correlation spectroscopy that correlates between nuclei which are physically close to each other regardless of whether there is a bond between them exists or not. Interpretation of EXSY spectrum can be understood from figure 20.

Figure 20: EXSY spectrum of N,N-dimethyl acetamide.

¹H EXSY spectrum of N, N-dimethyl acetamide is recorded at room temperature. At this temperature, the molecule exhibits slow rotation about the (CH₃)₂N-C bond such that both methyl groups represented as ‘a’ and ‘b’ exchange with one another rotationally yet are distinct in the spectrum. This is evident by the cross peaks in the spectrum between the two methyl groups on the nitrogen.

NOESY: NOESY is a homonuclear correlation spectroscopy that correlates between the nuclei which are physically close to each other regardless of whether there is a bond between them exists or not. The interpretation can be understood from NOESY and COSY spectrum of a quinoline derivative given in figure 21. The two experiments differentiates on the diastereotopic protons of the CH₂ group. NOESY spectrum, shows two NOE correlations at (4.29, 1.28) and (4.29, 3.13) ppm. There are no NOE’s to the proton signal at 2.68 ppm. The DQFCOSY below shows ²J and ³J correlations at (4.29,3.13), (4.29,1.28) and (3.13, 2.68) ppm. There are no four-bond correlations present as the ⁴J coupling constants are close to zero. [7-14].

Figure 21: NOESY and COSY spectrum quinoline derivative.

Multi dimensional NMR

As 1D-NMR spectroscopy possess one frequency axis with one intensity axis, which usually generates a very crowded and complex spectrum for larger molecules like proteins due to peak overlapping. Hence to overcome such problems of 1D NMR, a one more dimension is applied so called 2D NMR spectroscopy for assignment of peaks. If we see the case of 2D-NMR spectroscopy this possesses two frequency axes with one intensity axis and this also generates a very crowded and complex spectrum for larger molecules like proteins. Hence to further avoid and remove overlapping of peaks a third dimension is applied so called 3D NMR spectroscopy that possess three frequency axis and one intensity axis [15-21].

Introduction of third dimension provides much better resolution and reduces the overlapping of peaks. Similarly introduction of further higher number of frequency axis generates other multi dimensional NMR experiments such as 4D, 5D and 6D NMR. For example combination of 2D NOESY and 2D TOCSY offers a new 3D NMR i.e. NOESY-TOCSY spectroscopy. Protons of NH group of amino acid unit ‘B’ can be correlated with protons of NH group of amino acid unit ‘C’ and CHα of amino acid unit ‘A’ (figure 22). Other experiments like 2D HSQC-TOCSY, 2DNOESY-HSQC, ¹H-¹⁵N ROESY-HMQC, ¹H-¹³C ROESY-HMQC, ¹H-¹⁵N HMQC-NOESY-HMQC can also be used. 5D NMR commonly makes use of four types of NMR pulse sequences such as sequence of HACA(N)CONH, HNCOCACB, (HACA)CON(CA) CONH and (H)NCO(NCA)CONH). Whereas for 6D NMR make use of a pulse sequences such as (H)NCO(N)CACONH. Usually, it takes several minutes to measure resonance in 2D NMR, several hours in 3DNMR, several days in 4DNMR, and several weeks in 5D and 6D NMR with conventional FTNMR methods. This is because of number of free inductions decays, that are number of data points sampled in the indirect dimensions, increases exponentially with increase in the number of dimensions. Such that to scan more than 15 complex points in each indirect dimension, when it takes one second per FID, then it takes about 30 minutes for 3DNMR, and 12 days for 5D NMR of measurement time. The time required for data collection is a rate limiting step for structural characterization or resonance measurements. In order to make the NMR measurements fast, following are the strategies that can be used such as [22-25]:

Figure 22: Amino acid sequence in proteins.

a. Ultrafast (single-scan) NMR Slice-selective excitation.

b. Non-linear sampling-Restricted time-domain sampling in the indirect dimension by omission of increments randomly or in a selective manner followed by spectral reconstruction.

i. Maximum Entropy Reconstruction

ii. Frequency Diagonalization Method

iii. Three-way decomposition (Multiway decomposition)

c. Time-shared approach (Simultaneous Data Acquisition) -Parallel execution of two or more magnetization transfer pathways in the RF pulse sequence.

d. Projection NMR spectroscopy-Phase sensitive or non-phase sensitive joint sampling of two or more chemical shifts in the indirect dimension(s).

i. RD-NMR (Relaxation Dispersion NMR)

ii. GFT NMR (G-Matrix Fourier Transform)

iii. GFT-based data collection followed by spectral re-construction

e. Hadamard NMR spectroscopy- elective excitation and encoding of phases of signals using Hadamard matrix.

f. Fast pulsing methods-Reduction of relaxation delay period between scans.

i. L-optimization

ii. SO-FAST NMR (Selective Optimized Flip-Angle Short-Transient NMR)

iii. Variable relaxation delay

g. DNP-Dynamic nuclear polarization [26].

A drawback of NMR is the low sensitivity attributed to small magnetic moment of the nuclei (¹H, ¹³C, ¹⁵N etc.) having small polarization and small signal intensity. So, requires extensive signal averaging to have a high signal-to-noise ratio. Whereas at same magnetic field and temperature, the polarization of electron spin reservoir (e.g. free, stable paramagnetic polarizing agent) is significantly larger due to the much higher magnetic moment of the electron spin. With Dynamic Nuclear Polarization (DNP) it is possible to transfer the large Boltzman polarization of electron spin reservoir to the nuclear spin reservoir, which causes enhancement in NMR signal intensities by several orders of magnitude; ultimately signal intensity and data acquisition rate are increased by DNPNMR.

Conclusion

None of the analytical technique is good or bad. All the other analytical techniques of NMR play an equally important role in the structural elucidation individually or in combination.

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