The application of SIMPLISMA for the investigation of peak purity with liquid chromatography and diode array detection (LC-DAD) is proposed. SIMPLISMA is applied in the chromatographic direction, and is used to detect pure zones in the chromatogram. The performance of SIMPLISMA and of an approach ba
Eigenstructure tracking analysis for assessment of peak purity in high-performance liquid chromatography with diode array detection
✍ Scribed by F.Cuesta Sánchez; J Toft; O.M Kvalheim; D.L Massart
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 808 KB
- Volume
- 314
- Category
- Article
- ISSN
- 0003-2670
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✦ Synopsis
The application of eigenstructure tracking analysis (ETA) for the detection of an impurity under a chromatographic peak is discussed. A window of size three seems to be the most adequate for this problem. Some guidelines for interpretation of the ETA plots are given. A new normalization of spectra is proposed to remove heteroscedastic noise. The effect of this new normalization is compared with other data pretreatments.
The results obtained are compared with the performance of methods such as fixed size window evolving factor analysis (FSW EFA), the methods based on the Gram-Schmidt orthogonalization and SIMPLISMA.
📜 SIMILAR VOLUMES
## AbStlWt An algorithm for peak purity analysis based on the Gram-Schmidt orthogonalization method is described. The data are pretreated by using two different normalization techniques. The performance of this approach is investigated for liquid chromatography with photodiode-array detection (LC-
Evolvmg factor analysis and related techmques are pronuamg methods for peak punty control m hqmd chromatography mth photodmde-array detection (DAD) Practical apphcatlon of these techmques, however, can be hnuted by Instrumental and expenmental non-ldeahtles Possible reasons Include a non-zero or slo
## Ahstraet Two modifications of the algorithm based on the Gram-Schmidt orthogonalization technique for the assessment of peak purity are presented. The performance of this approach is investigated for liquid chromatography with photodiode-array detection (LC-DAD) data, although its applicability