Abstract
A technique based on pattern recognition of data obtained by supersonic jet spectrometry is employed for the prediction of chemical structure. The degree of similarity is evaluated quantitatively by calculating a cross correlation factor between sample and reference molecules. A probability density function is determined by fitting the data to a specified equation. The functional group and its position are also predicted by a similar technique. The pattern recognition provides a method for prediction of the chemical structure and is applicable to samples that have not been examined by supersonic jet spectrometry.
| Original language | English |
|---|---|
| Pages (from-to) | 1111-1119 |
| Number of pages | 9 |
| Journal | Talanta |
| Volume | 42 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 1995 Aug |
| Externally published | Yes |
ASJC Scopus subject areas
- Analytical Chemistry