Analytical figures of merit : from univariate to multi-way calibration
The search for new ways to improve analytical figures of merit is an important driving force in modern analytical chemistry research, with the sensitivity occupying one of the prominent places among these figures. Whether the purpose is the comparison of the performance of different experimental pro...
Guardado en:
| Autor principal: | |
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| Lenguaje: | Inglés |
| Publicado: |
American Chemical Society
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/2133/10490 http://hdl.handle.net/2133/10490 |
| Aporte de: |
| id |
I15-R121-2133-10490 |
|---|---|
| record_format |
dspace |
| institution |
Universidad Nacional de Rosario |
| institution_str |
I-15 |
| repository_str |
R-121 |
| collection |
Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR) |
| language |
Inglés |
| orig_language_str_mv |
eng |
| topic |
Multivariate Calibration with ANN Figures of Merit Grain Quality Control |
| spellingShingle |
Multivariate Calibration with ANN Figures of Merit Grain Quality Control Olivieri, Alejandro César Analytical figures of merit : from univariate to multi-way calibration |
| topic_facet |
Multivariate Calibration with ANN Figures of Merit Grain Quality Control |
| description |
The search for new ways to improve analytical figures of merit is an important driving force in modern analytical chemistry research, with the sensitivity occupying one of the prominent places among these figures. Whether the purpose is the comparison of the performance of different experimental procedures or the optimization of a given methodology under various experimental conditions, a consistent numerical sensitivity parameter is required in order to judge about the real improvement obtained from various experimental strategies. Analytical figures of merit are an integral part of official protocols of analysis, as documented in international standards. The International Union of Pure and Applied Chemistry (IUPAC) has set sensitivity definitions for various calibration scenarios. What is even more worrying, the plainly extrapolated expressions to data arrays with higher number of modes appeared to lead to a serious underestimation of true sensitivities. |
| author |
Olivieri, Alejandro César |
| author_facet |
Olivieri, Alejandro César |
| author_sort |
Olivieri, Alejandro César |
| title |
Analytical figures of merit : from univariate to multi-way calibration |
| title_short |
Analytical figures of merit : from univariate to multi-way calibration |
| title_full |
Analytical figures of merit : from univariate to multi-way calibration |
| title_fullStr |
Analytical figures of merit : from univariate to multi-way calibration |
| title_full_unstemmed |
Analytical figures of merit : from univariate to multi-way calibration |
| title_sort |
analytical figures of merit : from univariate to multi-way calibration |
| publisher |
American Chemical Society |
| publishDate |
2018 |
| url |
http://hdl.handle.net/2133/10490 http://hdl.handle.net/2133/10490 |
| work_keys_str_mv |
AT olivierialejandrocesar analyticalfiguresofmeritfromunivariatetomultiwaycalibration |
| bdutipo_str |
Repositorios |
| _version_ |
1764820408421318658 |