| Chapter title |
NMR Analysis of Fecal Samples
|
|---|---|
| Chapter number | 24 |
| Book title |
Clinical Metabolomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7592-1_24 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7591-4, 978-1-4939-7592-1
|
| Authors |
Hye Kyong Kim, Sarantos Kostidis, Young Hae Choi, Kim, Hye Kyong, Kostidis, Sarantos, Choi, Young Hae |
| Abstract |
Fecal analysis can generate data that is relevant for the exploration of gut microbiota and their relationship with the host. Nuclear magnetic resonance (NMR) spectroscopy is an excellent tool for the profiling of fecal extracts as it enables the simultaneous detection of various metabolites from a broad range of chemical classes including, among others, short-chain fatty acids, organic acids, amino acids, bile acids, carbohydrates, amines, and alcohols. Compounds present at low μM concentrations can be detected and quantified with a single measurement. Moreover, NMR-based profiling requires a relatively simple sample preparation. Here we describe the three main steps of the general workflow for the NMR-based profiling of feces: sample preparation, NMR data acquisition, and data analysis. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 23% |
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Other | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
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| Agricultural and Biological Sciences | 3 | 9% |
| Medicine and Dentistry | 2 | 6% |
| Unspecified | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Other | 7 | 20% |
| Unknown | 14 | 40% |