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Nuclear magnetic resonance spectroscopy: History & Regions
Nuclear magnetic resonance spectroscopy, commonly known as NMR spectroscopy or magnetic resonance spectroscopy (MRS), is a spectroscopic technique based on re-orientation of atomic nuclei with non-zero nuclear spins in an external magnetic field. This re-orientation occurs with absorption of electromagnetic radiation in the radio frequency region from…
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Nuclear magnetic resonance spectroscopy topic overview
The analysis highlights History and Regions as prominent areas in the source structure around Nuclear magnetic resonance spectroscopy.
Related topics
100
Source areas
7
Connected nodes
107
Extracted relationships
77
Concept neighborhoods
33
Bridge connections
107
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 29 topics
Biomolecular NMR spectroscopy · 27 topics
Main aspects of NMR techniques · 19 topics
Spectral interpretation · 10 topics
Correlation spectroscopy · 8 topics
History · 6 topics
Solid-state nuclear magnetic resonance · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Nuclear magnetic resonance spectroscopy connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Nuclear magnetic resonance spectroscopy shows recurring relationship patterns in the source. For example, Nuclear magnetic resonance spectroscopy → Advanced Methods, Analysis, Basic, California, Cambridge, Chemistry, Dr, GAMMA, Irvine, James Keeler, Jaroslaw Jazwinski, Joseph Hornak, Measurement Techniques, MR, NMR, Olga Staszewska-Krajewska, Organic Chemistry, Professor, Pulses, PyGAMMA Another extracted example is Nuclear magnetic resonance spectroscopy → Abragam, Bernstein, Charles, Clarendon Press, Date, Harper, High Resolution Nuclear Magnetic, High-resolution Nuclear Magnetic Resonance, ISBN, James Feeney, John, John Emsley, Leslie Howard Sutcliffe, McGraw-Hill Book Company, Nuclear Magnetic Resonance, Nuclear Magnetism, Pergamon, Pople, Principles, Resonance Spectroscopy. Use these groups to spot repeated connection types before inspecting the individual relationships.
Nuclear magnetic resonance spectroscopy
Top relations
related to External links· 35
Nuclear magnetic resonance spectroscopy → Advanced Methods, Analysis, Basic, California, Cambridge, Chemistry, Dr, GAMMA, Irvine, James Keeler, Jaroslaw Jazwinski, Joseph Hornak, Measurement Techniques, MR, NMR, Olga Staszewska-Krajewska, Organic Chemistry, Professor, Pulses, PyGAMMA
related to Further reading· 25
Nuclear magnetic resonance spectroscopy → Abragam, Bernstein, Charles, Clarendon Press, Date, Harper, High Resolution Nuclear Magnetic, High-resolution Nuclear Magnetic Resonance, ISBN, James Feeney, John, John Emsley, Leslie Howard Sutcliffe, McGraw-Hill Book Company, Nuclear Magnetic Resonance, Nuclear Magnetism, Pergamon, Pople, Principles, Resonance Spectroscopy
Nuclear magnetic resonance spectroscopy relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 77 structured relationships around Nuclear magnetic resonance spectroscopy. Examples in this analysis include color reagents or typical chromatography for identification.The most significant drawback of NMR spectroscopy is its poor sensitivity → instance of → NMR has largely replaced traditional wet chemistry tests and reaction monitoring → instance of → which still give sufficient performance for certain applications. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
color reagents or typical chromatography for identification.The most significant drawback of NMR spectroscopy is its poor sensitivity
instance of
NMR has largely replaced traditional wet chemistry tests
0.80
text
reaction monitoring
instance of
which still give sufficient performance for certain applications
0.80
text
quick checking of samples
instance of
which still give sufficient performance for certain applications
0.80
text
phosphorus-31 or fluorine-19 works in this fashion
instance of
Coupling to any spin-1/2 nuclei
0.80
text
35Cl splits a signal into a 1
instance of
a spin-3/2 nucleus
0.80
text
glycosidic bond angles
instance of
can be used to determine local structural features
0.80
text
dihedral angles
instance of
can be used to determine local structural features
0.80
text
bent helices
instance of
NMR is also useful for investigating nonstandard geometries
0.80
text
non-Watson
instance of
NMR is also useful for investigating nonstandard geometries
0.80
text
stem-loops
instance of
which tend to adopt complex conformations
0.80
text
pseudoknots
instance of
which tend to adopt complex conformations
0.80
text
Nuclear magnetic resonance spectroscopy
related to External links
James Keeler
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Nuclear magnetic resonance spectroscopy bring nearby vocabulary together. In this analysis, examples include Nuclear, Resonance and Spectroscopy. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Nuclear magnetic resonance spectroscopy
Nuclear
Resonance
Spectroscopy
Spin
Field
Effect
Sample
Nmr
Spectra
Structure
Spins
Used
nuclear magnetic resonance spectroscopy
Field
Resonance
Nuclear
Spectroscopy
Spin
Frequency
Spectra
Nuclei
Sample
Nmr
Citation
Effect
atomic nuclei
Coupling
Citation
Needed
Different
Spin
Effect
Spins
Molecule
Number
Sample
Protons
Spectra
nuclear spins
Resonance
Coupling
Spectroscopy
Spin
Field
Two
Different
Usually
Citation
Effect
Sample
Needed
nmr
Spectroscopy
Spectra
Nuclei
Needed
Citation
Field
Nuclear
Usually
Molecules
Also
1h
Chemical
carbon-13 nmr
Spectroscopy
Spectra
Nuclei
Needed
Citation
Field
Nuclear
Usually
Molecules
Also
1h
Chemical
solid-state nmr
Spectroscopy
Spectra
Nuclei
Needed
Citation
Field
Nuclear
Usually
Molecules
Also
1h
Chemical
two-dimensional nmr
Spectroscopy
Spectra
Nuclei
Needed
Citation
Field
Nuclear
Usually
Molecules
Also
1h
Chemical
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Nuclear magnetic resonance spectroscopy, one of the stronger structural bridges in this analysis connects Nuclear magnetic resonance spectroscopy with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Nuclear magnetic resonance spectroscopy — Overview· splits 78 ⟂ 30Nuclear magnetic resonance spectroscopy — Biomolecular NMR spectroscopy· splits 80 ⟂ 28Nuclear magnetic resonance spectroscopy — Main aspects of NMR techniques· splits 88 ⟂ 20Nuclear magnetic resonance spectroscopy — Spectral interpretation· splits 97 ⟂ 11Nuclear magnetic resonance spectroscopy — Correlation spectroscopy· splits 99 ⟂ 9Nuclear magnetic resonance spectroscopy — History· splits 101 ⟂ 7
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Nuclear magnetic resonance spectroscopy
Nodes108
Edges107
Triples77
Avg. degree1.98
Density0.018519
Components1
Source & methodology
TTTA analyzes the structure around Nuclear magnetic resonance spectroscopy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
