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Through numerous examples, the principles of the relationship between chemical structure and the NMR spectrum are developed in a logical, step-by-step fashion
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Cover
Title Page
Copyright
Examples
Preface
Acknowledgments
About the Companion Website
Chapter 1: Spectroscopy and the Proton NMR Experiment
1.1 What is the Structure of a Molecule?
1.2 Mass Spectrometry
1.3 Infrared (IR) Spectroscopy
1.4 Ultraviolet (UV) and Visible Spectroscopy
1.5 A Highly Simplified View of the NMR Experiment
Chapter 2: Chemical Shifts and Splitting Patterns
1 Chemical Shifts in the Proton Spectrum
2 Splitting: The Effect of One Neighbor: A Doublet
3 Splitting: The Effect of two Neighbors: A Triplet
4 Splitting: The Effect of Three Neighbors: A Quartet
5 Splitting: The Effect of “n” Neighbors: A Multiplet
6 Using Splitting Patterns to Choose from a Group of Isomers
7 Peak Intensities (Peak Areas) and the Number of Protons in A Peak
8 Publication Format for Proton NMR Data
9 Recognizing Common Structure Fragments
10 Overlap in Proton NMR Spectra. Example: 1-Methoxyhexane
11 Protons Bound to Oxygen: OH Groups. Example: 2-Ethyl-1-Butanol
12 Summary of Chemical Shifts and Splitting Patterns
Chapter 3: Proton (
1
H) NMR of Aromatic Compounds
1 Benzene: The Aromatic Ring Current and The Shielding Cone
2 Monsubstituted Benzene: X-C
6
H
5
3 Disubstituted Benzene: X–C
6
H
4
–Y
4 Coupling Between Aromatic Ring Protons and Substitutent Protons; Homonuclear Decoupling
5 Trisubstituted Aromatic Rings: The Ab
2
System
6 Other Aromatic Ring Systems: Heteroaromatics, Five-Membered Rings and Fused Rings
7 Summary of New Concepts: Proton NMR of Aromatic Compounds
Chapter 4: Carbon-13 (
13
C) NMR
1 Natural Abundance and Sensitivity of
13
C
2 Proton Decoupling—Removing the Splitting Effect of Nearby Protons
3 Intensity of
13
C Peaks—Symmetry and Relaxation
4 Chemical Shifts of Carbon-13 (
13
C) Nuclei
5 Quaternary Carbons: the Carbonyl Group
6 Simple Aromatic Compounds: Substituent Effects on
13
C Chemical Shifts
7 Highly Oxygenated Benzene Rings and Coumarin
8 Fused Rings and Heteroaromatic Compounds
9 Edited
13
C Spectra: DEPT
10 The Effect of Other Magnetic Nuclei on the
13
C Spectrum:
31
P,
19
F,
2
H and
14
N
11 Direct Observation of Nuclei Other Than Proton (
1
H) and Carbon (
13
C)
Chapter 5: Alkenes (Olefins)
1 Proton Chemical Shifts of Simple Olefins
2 Short-Range (Two and Three Bond) Coupling Constants (J Values) in Olefins
3 The Allylic Coupling: A Long-Range (Four-Bond) J Coupling
4 Long-Range Olefin Couplings in Cholesterol: The bis-Allylic Coupling (
5
J)
5 Carbon-13 Chemical Shifts of Hydrocarbon Olefins (Alkenes)
6 Resonance Effects on Olefinic
13
C Chemical Shifts
7 Alkynes
Chapter 6: Chirality and Stereochemistry: Natural Products
1 The Molecules of Nature
2 Chirality, Chiral Centers, Chiral Molecules, and the Chiral Environment
3 The AB System
4 Detailed Analysis of the AB Spectrum: Calculating the Chemical Shifts
5 The ABX System
6 Variations on the ABX Theme: ABX
3
, ABX
2
and ABXY
7 The Effect of Chirality on
13
C Spectra. Diastereotopic Carbons
8 A Closer Look at Chemical Shift Equivalence in an Asymmetric Environment
9 J Couplings and Chemical Shifts in the Rigid Cyclohexane Chair System
10 A Detailed Look at the Dependence of
3
JHH on Dihedral Angle: The Karplus Relation
11 Magnetic Non-Equivalence. The X-CH
2
-CH
2
-Y Spin System: A
2
B
2
and AA'BB' Patterns
12 Bicyclic Compounds and Small Rings (Three- and Four-Membered)
Reference
Chapter 7: Selective Proton Experiments: Biological Molecules
1 Sugars: Monosaccharides and Oligosaccharides
2 Slowing of OH Exchange in Polar Aprotic Solvents Like DMSO
3 Selective TOCSY Applied to the Assignment of the
1
H Spectra of Sugars
4 The Selective NOE (Nuclear Overhauser Effect) Experiment
5 Amino Acids and Peptides
6 Nucleic Acids
7 Parameter Settings for NMR Experiment Setup and NMR Data Processing
Bibliography
Chapter 8: Homonuclear Two-Dimensional NMR: Correlation of One Hydrogen (
1
H) to Another
1 Selective Tocsy Experiments Displayed as a Stacked Plot
2 The Two-Dimensional COSY Experiment
3 Shape and Fine Structure of COSY Crosspeaks; Contour Plots
4 2D-COSY Spectra of Sugars
5 2D-COSY Spectra of Aromatic Compounds
6 Parameter Settings in the 2D COSY Experiment; The DQF-COSY Experiment
7 COSY Spectra of Peptides
8 COSY Spectra of Natural Products
9 Two-Dimensional (2D) TOCSY (Total Correlation Spectroscopy)
10 Two-Dimensional (2D) NOESY (Nuclear Overhauser Effect Spectroscopy)
Parameter Settings Used for 2D Spectra in this Chapter
Chapter 9: Heteronuclear Two-Dimensional NMR: Correlation of One Hydrogen (
1
H) to One Carbon (
13
C)
1 3-Heptanone: A Thought Experiment
2 Edited HSQC: Making the CH2 Protons Stand Out
3 The 2D-HSQC Spectrum of Cholesterol
4 A Detailed Look at the HSQC Experiment
5 Parameters and Settings for the 2D-HSQC Experiment
6 Data Processing: Phase Correction in two Dimensions
7 Long-Range Couplings between
1
H and
13
C
8 2D-HMBC (Heteronuclear Multiple-Bond Correlation)
9 Parameters and Settings for the 2D-HMBC Experiment
10 Comparison of HSQC and HMBC
11 HMBC Variants
Parameter Settings Used For 2D Spectra in this Chapter
References
Chapter 10: Structure Elucidation Using 2D NMR
1 Literature Structure Problems
2 Sesquiterpenoids
3 Steroids
4 Oligosaccharides
5 Alkaloids
6 Triterpenes
Reference
Index
End User License Agreement
Table 3.1
Table 4.1
Table 4.2
Table 4.3
Table 4.4
Table 4.5
Table 4.6
Table 5.1
Table 5.2
Table 7.1
Table 9.1
Figure 1.1
Figure 1.2
Figure 1.3
Figure 1.4
Figure 1.5
Figure 1.6
Figure 1.7
Figure 1.8
Figure 1.9
Figure 1.10
Figure 1.11
Figure 1.12
Figure 1.13
Figure 1.14
Figure 1.15
Figure 2.1
Figure 2.2
Figure 2.3
Figure 2.4
Figure 2.5
Figure 2.6
Figure 2.7
Figure 2.8
Figure 2.9
Figure 2.10
Figure 2.11
Figure 2.12
Figure 2.13
Figure 2.14
Figure 2.15
Figure 2.16
Figure 2.17
Figure 2.18
Figure 2.19
Figure 2.20
Figure 2.21
Figure 2.22
Figure 2.23
Figure 2.24
Figure 2.25
Figure 2.26
Figure 2.27
Figure 2.28
Figure 2.29
Figure 2.30
Figure 3.1
Figure 3.2
Figure 3.3
Figure 3.4
Figure 3.5
Figure 3.6
Figure 3.7
Figure 3.8
Figure 3.9
Figure 3.10
Figure 3.11
Figure 3.12
Figure 3.13
Figure 3.14
Figure 3.15
Figure 3.16
Figure 3.17
Figure 3.18
Figure 3.19
Figure 3.20
Figure 3.21
Figure 3.22
Figure 3.23
Figure 3.24
Figure 3.25
Figure 3.26
Figure 3.27
Figure 3.28
Figure 3.29
Figure 3.30
Figure 3.31
Figure 3.32
Figure 3.33
Figure 3.34
Figure 3.35
Figure 3.36
Figure 3.37
Figure 3.38
Figure 3.39
Figure 3.40
Figure 3.41
Figure 3.42
Figure 3.43
Figure 3.44
Figure 3.45
Figure 3.46
Figure 3.47
Figure 3.48
Figure 3.49
Figure 3.50
Figure 3.51
Figure 3.52
Figure 3.53
Figure 3.54
Figure 3.55
Figure 3.56
Figure 3.57
Figure 3.58
Figure 3.59
Figure 3.60
Figure 3.61
Figure 3.62
Figure 3.63
Figure 3.64
Figure 3.65
Figure 3.66
Figure 3.67
Figure 3.68
Figure 3.69
Figure 3.70
Figure 3.71
Figure 3.72
Figure 3.73
Figure 4.1
Figure 4.2
Figure 4.3
Figure 4.4
Figure 4.5
Figure 4.6
Figure 4.7
Figure 4.8
Figure 4.9
Figure 4.10
Figure 4.11
Figure 4.12
Figure 4.13
Figure 4.14
Figure 4.15
Figure 4.16
Figure 4.17
Figure 4.18
Figure 4.19
Figure 4.20
Figure 4.21
Figure 4.22
Figure 4.23
Figure 4.24
Figure 4.25
Figure 4.26
Figure 4.27
Figure 4.28
Figure 4.29
Figure 4.30
Figure 4.31
Figure 4.32
Figure 4.33
Figure 4.34
Figure 4.35
Figure 4.36
Figure 4.37
Figure 4.38
Figure 4.39
Figure 4.40
Figure 4.41
Figure 4.42
Figure 4.43
Figure 4.44
Figure 4.45
Figure 4.46
Figure 4.47
Figure 4.48
Figure 4.49
Figure 4.50
Figure 4.51
Figure 4.52
Figure 4.53
Figure 4.54
Figure 4.55
Figure 4.56
Figure 4.57
Figure 4.58
Figure 4.59
Figure 4.60
Figure 5.1
Figure 5.2
Figure 5.3
Figure 5.4
Figure 5.5
Figure 5.6
Figure 5.7
Figure 5.8
Figure 5.9
Figure 5.10
Figure 5.11
Figure 5.12
Figure 5.13
Figure 5.14
Figure 5.15
Figure 5.16
Figure 5.17
Figure 5.18
Figure 5.19
Figure 5.20
Figure 5.21
Figure 5.22
Figure 5.23
Figure 5.24
Figure 5.25
Figure 5.26
Figure 5.27
Figure 5.28
Figure 5.29
Figure 5.30
Figure 5.31
Figure 5.32
Figure 5.33
Figure 5.34
Figure 5.35
Figure 6.1
Figure 6.2
Figure 6.3
Figure 6.4
Figure 6.5
Figure 6.6
Figure 6.7
Figure 6.8
Figure 6.9
Figure 6.10
Figure 6.11
Figure 6.12
Figure 6.13
Figure 6.14
Figure 6.15
Figure 6.16
Figure 6.17
Figure 6.18
Figure 6.19
Figure 6.20
Figure 6.21
Figure 6.22
Figure 6.23
Figure 6.24
Figure 6.25
Figure 6.26
Figure 6.27
Figure 6.28
Figure 6.29
Figure 6.30
Figure 6.31
Figure 6.32
Figure 6.33
Figure 6.34
Figure 6.35
Figure 6.36
Figure 6.37
Figure 6.38
Figure 6.39
Figure 6.40
Figure 6.41
Figure 6.42
Figure 6.43
Figure 6.44
Figure 6.45
Figure 6.46
Figure 6.47
Figure 6.48
Figure 6.49
Figure 6.50
Figure 6.51
Figure 6.52
Figure 6.53
Figure 6.54
Figure 6.55
Figure 6.56
Figure 6.57
Figure 6.58
Figure 6.59
Figure 6.60
Figure 6.61
Figure 6.62
Figure 6.63
Figure 6.64
Figure 6.65
Figure 6.66
Figure 6.67
Figure 6.68
Figure 6.69
Figure 6.70
Figure 6.71
Figure 6.72
Figure 6.73
Figure 7.1
Figure 7.2
Figure 7.3
Figure 7.4
Figure 7.5
Figure 7.6
Figure 7.7
Figure 7.8
Figure 7.9
Figure 7.10
Figure 7.11
Figure 7.12
Figure 7.13
Figure 7.14
Figure 7.15
Figure 7.16
Figure 7.17
Figure 7.18
Figure 7.19
Figure 7.20
Figure 7.21
Figure 7.22
Figure 7.23
Figure 7.24
Figure 7.25
Figure 7.26
Figure 7.27
Figure 7.28
Figure 7.29
Figure 7.30
Figure 7.31
Figure 7.32
Figure 7.33
Figure 7.34
Figure 7.35
Figure 7.36
Figure 7.37
Figure 7.38
Figure 7.39
Figure 7.40
Figure 7.41
Figure 7.42
Figure 7.43
Figure 7.44
Figure 7.45
Figure 7.46
Figure 7.47
Figure 8.1
Figure 8.2
Figure 8.3
Figure 8.4
Figure 8.5
Figure 8.6
Figure 8.7
Figure 8.8
Figure 8.9
Figure 8.10
Figure 8.11
Figure 8.12
Figure 8.13
Figure 8.14
Figure 8.15
Figure 8.16
Figure 8.17
Figure 8.18
Figure 8.19
Figure 8.20
Figure 8.21
Figure 8.22
Figure 8.23
Figure 8.24
Figure 8.25
Figure 8.26
Figure 8.27
Figure 8.28
Figure 8.29
Figure 8.30
Figure 8.31
Figure 8.32
Figure 8.33
Figure 8.34
Figure 8.35
Figure 8.36
Figure 8.37
Figure 8.38
Figure 8.39
Figure 8.40
Figure 8.41
Figure 8.42
Figure 8.43
Figure 8.44
Figure 8.45
Figure 8.46
Figure 8.47
Figure 9.1
Figure 9.2
Figure 9.3
Figure 9.4
Figure 9.5
Figure 9.6
Figure 9.7
Figure 9.8
Figure 9.9
Figure 9.10
Figure 9.11
Figure 9.12
Figure 9.13
Figure 9.14
Figure 9.15
Figure 9.16
Figure 9.17
Figure 9.18
Figure 9.19
Figure 9.20
Figure 9.21
Figure 9.22
Figure 9.23
Figure 9.24
Figure 9.25
Figure 9.26
Figure 9.27
Figure 9.28
Figure 9.29
Figure 9.30
Figure 9.31
Figure 9.32
Figure 9.33
Figure 9.34
Figure 9.35
Figure 9.36
Figure 9.37
Figure 9.38
Figure 9.39
Figure 9.40
Figure 9.41
Figure 9.42
Figure 9.43
Figure 9.44
Figure 9.45
Figure 9.46
Figure 9.47
Figure 9.48
Figure 9.49
Figure 9.50
Figure 9.51
Figure 9.52
Figure 9.53
Figure 10.1
Figure 10.2
Figure 10.3
Figure 10.4
Figure 10.5
Figure 10.6
Figure 10.7
Figure 10.8
Figure 10.9
Figure 10.10
Figure 10.11
Figure 10.12
Figure 10.13
Figure 10.14
Figure 10.15
Figure 10.16
Figure 10.17
Figure 10.18
Figure 10.19
Figure 10.20
Figure 10.21
Figure 10.22
Figure 10.23
Figure 10.24
Figure 10.25
Figure 10.26
Figure 10.27
Figure 10.28
Figure 10.29
Figure 10.30
Figure 10.31
Figure 10.32
Figure 10.33
Figure 10.34
Figure 10.35
Figure 10.36
Figure 10.37
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Neil E. Jacobsen, Ph.D.
University of Arizona
Copyright © 2017 by John Wiley & Sons, Inc. All rights reserved.
Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.
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Library of Congress Cataloging-in-Publication Data:
Names: Jacobsen, Neil E.
Title: NMR data interpretation explained : understanding 1D and 2D NMR spectra of organic compounds and natural products / Neil E. Jacobsen, Ph.D., University of Arizona.
Other titles: Nuclear magnetic resonance data interpretation explained
Description: Hoboken, New Jersey : John Wiley & Sons, Inc., 2016. | Includes bibliographical references and index.
Identifiers: LCCN 2016009193 | ISBN 9781118370223 (cloth)
Subjects: LCSH: Nuclear magnetic resonance spectroscopy. | Nuclear magnetic resonance. | Organic compounds–Spectra. | Spectrum analysis.
Classification: LCC QD96.N8 J325 2016 | DDC 543/.66–dc23 LC record available at https://lccn.loc.gov/2016009193
n‐Propyl Acetate
1‐Methoxyhexane
2‐Ethyl‐1‐Butanol
n‐Propyl Acetate: Mismatch of Nearly Equal J Values.
Acetaminophen (para‐acetaminophenol)
Methyl m‐Nitrobenzoate
Acetylsalicylic Acid (Aspirin)
ortho‐Chloroacetophenone (o‐Cl‐C6H4‐CO‐CH3): Strong Coupling Effects
2,6‐Di‐(o‐anisyl)‐anisole, a meta‐terphenyl: the AB2 System
Saturated Fatty Acids: Methyl Stearate
Methyl β‐D‐Riboside 2,3‐Acetonide
N‐(tert‐Butoxycarbonyl)‐L‐Glutamine
Anisole (methoxybenzene): 13C Substituent Effects
Acetaminophen (para‐acetamidophenol): 13C Substituent Effects
Methyl meta‐Nitrobenzoate (methyl 3‐nitrobenzate): 13C Substituent Effects
cis‐6a‐Hydroxymaackiain Analog: 13C Substituent Effects
Phlorizin
4‐Methoxy‐1‐Naphthaldehyde: 13C Spectrum
Indole‐2‐Carboxylic Acid
Cinchonidine
1,1,1‐Trifluoro‐2‐Propanol
Fluorobenzene
Triphenylphosphine Oxide
Adenosine Triphosphate (ATP): 31P Spectrum
4‐Fluorobenzonitrile (C7H4NF): 19F Spectrum
Perfluorooctanesulfonic acid (PFOS, C8F17SO3H): 19F Spectrum
Cinnamic Acid
n‐Butyl Acrylate (CH3‐CH2‐CH2‐CH2‐O‐CO‐CH=CH2)
1‐Octene (CH3‐CH2‐CH2‐CH2‐CH2‐CH2‐CH=CH2)
Limonene (C10H16)
Linalool (C10H18O)
6α‐Methylprednisolone (C22H30O5)
Elemol (C15H26O)
2‐Hydroxy‐2‐methylsuccinic acid: the AB System
2‐Hydroxysuccinic acid: the ABX System
Diethyl Ethyl(phenyl)malonate: ABX3
2‐Butanol (sec‐butanol): ABXY3
Cholesterol (A Ring)
3‐n‐Butylcyclohexanone
1‐n‐Butylcyclohex‐2‐en‐1‐ol
A Synthetic Pyrrolidine: Determining the Major and Minor Diastereomers
Menthol
Hydrocinnamic Acid: AA′BB′
3‐Phenyl‐1‐propanol: AA′BB′
trans,trans‐1,4‐diphenyl‐1,3‐butadiene: AA′BB′
cis,trans‐1,4‐diphenyl‐1,3‐butadiene: First Order
endo‐Borneol
Synthetic Bicyclo[2.2.1] Compounds
α‐Thujone and β‐Thujone
α‐Pinene (Unknown Monoterpene)
D‐Glucose in D2O
Methyl α‐D‐Glucoside in CD3OD
Methyl α‐D‐Glucoside in DMSO‐d6
Methyl α‐D‐Glucoside (1D TOCSY): Selection of H1 Peak
Methyl α‐D‐Glucoside (1D TOCSY): Sequential Selection of All Peaks
β‐D‐Glucose in D2O: Assignment of the 1H Spectrum Using Selective TOCSY
α‐D‐Glucose in D2O: Assignment of the 1H Spectrum Using Selective TOCSY
5‐Ethyl‐2‐Methylpyridine: Regiochemistry of Alkyl Substituents by NOE
Thujone Isomers (α and β): Stereochemistry of CH3 Group by NOE
Sucralose: Selective NOE Experiment
Aspartame (L‐Asp‐L‐Phe‐OCH3)
Leucine Enkephalin Acetate (Tyr‐Gly‐Gly‐Phe‐Leu) in DMSO‐d6
Adenosine Triphosphate (ATP): 1H Spectrum
Methyl β‐D‐Glucopyranoside in D2O: COSY Spectrum
D‐Glucose in D2O: COSY Spectrum
2‐Naphthol (2‐hydroxynaphthalene) in CDCl3: COSY Spectrum
Cholesterol in CDCl3: COSY Spectrum
3‐Heptanone: 2D‐TOCSY Spectrum
Leucine Enkephalin Acetate (Tyr‐Gly‐Gly‐Phe‐Leu): 2D‐TOCSY Spectrum
β‐D‐Lactose Peracetate (β‐D‐Lactose Octaacetate): 2D‐TOCSY Spectrum
α‐Thujone in CDCl3: 2D‐NOESY Spectrum
Leucine Enkephalin Acetate (Tyr‐Gly‐Gly‐Phe‐Leu): 2D‐NOESY Spectrum
D‐Glucose in D2O. HSQC Spectrum
Cholesterol in CDCl3: HSQC Spectrum
Ethyl Acetate in CDCl3: 13C Spectrum without Decoupling
Ethyl Acetate in CDCl3: HMBC Spectrum
Oxybenzone: HMBC Spectrum
Testosterone: HMBC Spectrum
β‐D‐Lactose Peracetate in CDCl3: HMBC Spectrum
Telekin: Unknown A, a Sesquiterpene Natural Product
Ergosterol Analog: Unknown B, a Steroid Natural Product
Raffinose: Unknown C, a Trisaccharide
Monocrotaline: Unknown D, an Alkaloid Natural Product
Pristimerin Analog: Unknown E, a Triterpene Natural Product
Nuclear magnetic resonance (NMR) spectroscopy is a technique used to determine the structure of molecules at the level of individual atoms and covalent bonds. While it does not provide a direct picture or image of the molecule, the NMR data can be interpreted to determine which atoms in a molecule are connected to which atoms, and whether these bonds connecting them are single, double, or triple bonds. Further information can be obtained from this data about the distances between atoms that are not bonded, and the angles between bonds, leading to a complete three-dimensional model of the molecule.
The field of NMR can be divided into three categories: imaging (MRI), solid-state NMR, and solution-state (liquids) NMR. NMR imaging is familiar to anyone who has gone to a hospital or clinic for an MRI “scan,” which yields a picture of “slices” through the human body that is extremely useful in medical diagnosis. Solid-state NMR is the analysis of solid materials, usually ground into a powder; this is applied primarily to the analysis of materials such as polymers, but it can also be applied to biological membranes. Solution-state NMR looks at molecules dissolved in a solvent, which can be water or an organic solvent such as acetone or chloroform. This book is focused on solution-state NMR, the primary tool used by organic chemists and biochemists to determine molecular structure.
A further distinction is made between “small molecules” and “large molecules” in solution. In the context of solution-state NMR, a large molecule is a biological molecule such as a protein or nucleic acid, made up of many repeating units that all have similar structures. A small molecule has a molecular weight less than 1000 Da and is usually made up of diverse structural elements (carbon chains, rings, and functional groups) rather than a repeating pattern. Small molecules are the domain of the organic chemist: natural products, drugs, and the intermediates and products of organic synthesis. Also included in this category are the short chains of biological molecules: peptides, oligonucleotides, and oligosaccharides (sugars). This book will focus on the use of NMR data to determine the covalent structure (which atoms are connected to which atoms) and three-dimensional shape (stereochemistry and conformation) of these small molecules.
This book is different from most books on NMR because it is focused on examples and exercises. Each topic is introduced with one of more examples of NMR data with detailed explanations of the interpretation of that data. Examples are then followed by a number of exercises using detailed images of NMR data, and these are followed by solutions, again with detailed explanation of the step-by-step reasoning used to solve the exercise. The title, NMR Data Interpretation Explained, is an indication of this focus on example and explanation. Every detail and aspect of the NMR data is explained, not just the simple and beautiful spectra but also the complex and surprising spectra. A large number of additional exercises, almost all of them showing detailed graphics of NMR data, have been provided at www.wiley.com/go/jacobsen/nmrdata. Solutions with detailed explanations are provided for half of the exercises, with the remaining solutions provided to instructors on the same website in a forum accessible by instructors only. All of the commonly used techniques of small-molecule solution-state NMR are covered: simple one-dimensional (H1 and C13), edited (DEPT) C13, selective one-dimensional H1 (NOE, ROE, and TOCSY), and two-dimensional (COSY, TOCSY, NOESY, ROESY, HSQC, and HMBC). The final chapter puts all of these techniques together to solve the structures of a number of complex natural products: sesquiterpenes, steroids, alkaloids, sugars, and triterpenes. Many exercises are provided for each of these molecule types.
Another unique aspect of this book is that it does not attempt to explain the theory of NMR. Other books, including my own book (NMR Spectroscopy Explained, Wiley-Interscience, 2007), do an excellent job of explaining the theoretical basis of NMR and how the experiments actually work to give the NMR data. In my experience, the actual users of NMR spectrometers are more interested in solving a chemical problem using NMR data, and have little interest in how the spectrometer works or how the nuclei respond to magnetic fields and radio frequency pulses. It is for these NMR users, industry researchers as well as undergraduates, graduate students, and postdoctoral researchers in chemistry, biochemistry, medicinal chemistry, and pharmacy, that this book was written.
The NMR data used in this book came primarily from the NMR facility in the Department of Chemistry and Biochemistry at the University of Arizona. The instruments used include a Bruker Avance-III (400.13 MHz), a Bruker DRX-500 (499.28 MHz), a Bruker DRX-600 (600.13 MHz), and a Varian Inova-600 (599.7 MHz) with cryogenic probe. Every attempt was made to obtain the highest-quality NMR data from pure samples. Data was processed using the Felix software package (Felix NMR, Inc., San Diego, CA) and the MestReNova software package (MestReLab Research, Santiago de Compostela, Spain). Literature data was also used, downloaded from the Japanese database SDBS (Spectral Database for Organic Compounds, National Institute of Advanced Industrial Science and Technology, AIST). In a few cases, NMR spectra were simulated using parameters (chemical shifts and J values) obtained from the literature.
NMR spectrometers are expensive (around $800,000 for a 600 MHz instrument), and require specialized expertise and expensive cryogens (liquid nitrogen and liquid helium) to operate, so many teaching institutions are unable to obtain a high-field NMR instrument. It was also with these colleges and universities in mind, all over the world, that this book was written, so that students can learn the technique using high-quality data from a wide variety of samples.
The idea for this book came from a Chemistry course created by Professor Eugene Mash at the University of Arizona. The course, Chemistry 447, is a laboratory course in the identification of organic compounds, and over the years the technique used by students has become almost exclusively NMR. Prof. Mash gathered together an amazing collection of unknown samples, including a large number of simple aromatics and monoterpenes, and more than 50 different steroids. I began giving a series of lectures on two-dimensional NMR in this course in 2006, and gradually acquired complete 1D and 2D data sets at 600 MHz for all of the steroid unknowns. Prof. Mash encouraged me to write a book that would include this data as well as data on a large number of organic compounds, so that students all over the world, especially in small colleges and in developing countries, would have access to high-quality 600 MHz NMR data.
In 2012, a new graduate course was created by Professor Hamish Christie at the University of Arizona, aimed at preparing new graduate students in Organic Chemistry for their research work. The course, Chemistry 545, teaches all of the latest laboratory techniques in organic synthesis while using the synthetic intermediates and products to teach students to use our NMR instruments and to interpret the NMR data. In this course I developed a deeper look at one-dimensional proton NMR data, beyond the simple spectra found in most undergraduate courses. Two of these laboratory experiments—isolation of the α- and β-isomers of the monoterpene thujone from cedar leaf oil, and preparation of a Shi oxidation catalyst from fructose—adapted well to teaching selective NOE and 2D NMR experiments, forming the core of the more advanced portions of this book.
I would like to thank Prof. Mash and Prof. Christie for these unique opportunities to develop an NMR curriculum and to gain years of experience in explaining and discussing NMR data with undergraduate and graduate students.
I also thank Prof. Robert Bates and Prof. Leslie Gunatilaka, both experts in natural product isolation and structure elucidation, for many exciting collaborations that ignited my fascination with using NMR to solve these complex structures. In the course of these studies, I developed the systematic method outlined in this book for solving structure problems using NMR data.
Dr. Jixun Dai, Assistant Director of the NMR Facility at the University of Arizona, prepared a large number of samples and ran the NMR experiments for those samples. He optimized many of the experiments on the Bruker DRX-500 and DRX-600 instruments, doing especially difficult work of implementing the most modern versions of the selective TOCSY and selective NOE experiments. His programming and data handling skills also saved me more than once from challenging issues in using old NMR data from obsolete platforms, and in simulation of NMR data. I thank him for the significant contribution he made to this book.
A large number of 1D H1 and C13 exercises in this book came from literature data provided by the National Institute of Advanced Industrial Science and Technology (AIST, Japan). Their website (SDBSWeb: http://sdbs.riodb.aist.go.jp) is a goldmine of NMR data for a wide variety of organic compounds. Their line lists (lists of NMR line frequencies) were used to reconstruct the literature spectra used in these exercises (e.g., 300 and 399.65 MHz H1 spectra). I am grateful for being able to use this data for educational purposes.
Finally, I would like to thank my wife, Dr. Linda Breci, for her unwavering support and patience, especially in the last year, as I completed this enormously time-consuming project. She also taught me what little I know about mass spectrometry (MS) and helped me with the section on MS, and she compiled the index of this book.
This book is accompanied by a companion website:
www.wiley.com/go/jacobsen/nmrdata
The Student's website includes:
Additional Chapter Exercises
A large number of exercises are provided, many showing detailed graphics of NMR data
Solutions to Exercises
With detailed explanations are provided for half of the exercises
The Instructor's website includes:
Instructor's Solutions Manual
Provides remaining solutions to exercises
