Chlorpromazine
Compound with spectra: 1 FTIR
| SpectraBase Compound ID | K8fRYnf9al |
|---|---|
| Mol Weight | 0.0 g/mol |
| Molecular Formula | C17H19ClN2S |
| Exact Mass | 0.0 g/mol |
| Copyright | Copyright © 1980, 1981-2024 John Wiley & Sons, Inc. All Rights Reserved. |
|---|---|
| Source of Sample | Glaxosmithkline |
| Technique | KBr WAFER |
- Thorazine
- CHLORDERAZIN
- CONTOMIN
- PROZIL
This compound is available in the following databases:
Wiley Registry of Tandem Mass Spectral Data: MS for ID
Author: Herbert Oberacher, Institute of Legal Medicine, Innsbruck/Austria
The Wiley Registry® of Tandem Mass Spectral Data: MS for ID contains 10,000 positive and negative mode spectra of over 1200 compounds of interest for forensics, toxicology, and pathology. Learn more.
Mass Spectra of Designer Drugs 2024
Author: Peter Rösner
This library enables fast and reliable identification of the latest illegal designer drugs. It is updated annually. Learn more.
Maurer, Meyer, Pfleger, Weber: GC-MS Library of Drugs, Poisons, and Their Metabolites 6th Edition
Author: Hans H. Maurer, Markus Meyer, Karl Pfleger, Armin A. Weber
Identification of trace drugs, poisons, and pollutants requires broad coverage of specific compound classes: metabolites, acetylated, methylated, trimethylsilylated, trifluoroacetylated, pentafluoropropionylated, and heptafluorobutyrylated compounds. Learn more.
Wiley Registry of Mass Spectral Data 2023
Author: Wiley
The foundation library for any analytical laboratory running mass spectrometry, the Wiley Registry provides the broadest coverage available in any mass spectral library Learn more.
Maurer, Meyer, Helfer, Weber: LC-HR-MS & MS Library of Drugs, Poisons, and Their Metabolites
Author: Hans H. Maurer, Markus Meyer, Andreas G. Helfer, Armin A. Weber
Developed by toxicologist Hans H. Maurer and his team, the Maurer/Meyer/Helfer/Weber LC-HR-MS/MS Library of Drugs, Poisons, and Their Metabolites consists of spectra for parent drugs or poisons, and their metabolites or artifacts, in various compound classification groups. This metabolite-based library helps minimize the risk of false negative LC-MS results. Learn more.