Electronic reference to access in vivo concentrations
Term · Chemistry · MLC-T-CHM-003754
A quantitative NMR method in which an electronic signal generated by the spectrometer is detected at the same time as the sample free induction decay and serves as an intensity reference. Comparing sample peak areas with this synthetic peak gives concentrations without internal or external reference compounds. The signal is calibrated once against a sample of known concentration, and the method is also used in high-resolution solution NMR.
| Identifier | MLC-T-CHM-003754 |
|---|---|
| Field | Chemistry |
| Subject | Analytical Chemistry |
| References | PAC, 2021, 93, 647. 'Glossary of methods and terms used in analytical spectroscopy (IUPAC Recommendations 2019)' on page 687 (https://doi.org/10.1515/pac-2019-0203) |
| See also | Nuclear magnetic resonance spectrum; Free induction decay; Nuclear magnetic resonance spectroscopy |
Record as JSON
{
"id": "MLC-T-CHM-003754",
"term": "Electronic reference to access in vivo concentrations",
"field": "Chemistry",
"definition": "A quantitative NMR method in which an electronic signal generated by the spectrometer is detected at the same time as the sample free induction decay and serves as an intensity reference. Comparing sample peak areas with this synthetic peak gives concentrations without internal or external reference compounds. The signal is calibrated once against a sample of known concentration, and the method is also used in high-resolution solution NMR.",
"subject": "Analytical Chemistry",
"see_also": [
"nuclear magnetic resonance spectrum",
"free induction decay",
"nuclear magnetic resonance spectroscopy"
],
"references": [
"PAC, 2021, 93, 647. 'Glossary of methods and terms used in analytical spectroscopy (IUPAC Recommendations 2019)' on page 687 (https://doi.org/10.1515/pac-2019-0203)"
],
"url": "https://mlchart.com/terminology/chemistry/electronic-reference-to-access-in-vivo-concentrations/"
}
Record 3,983 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.