## 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-
Algorithms for the assessment of peak purity in liquid chromatography with photodiode-array detection. Part II
✍ Scribed by F. Cuesta Sánchez; M.S. Khots; D.L. Massart
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 671 KB
- Volume
- 290
- Category
- Article
- ISSN
- 0003-2670
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✦ Synopsis
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 is not restricted to this experimental model. This method is applied to simulated and experimental data where two compounds are eluting, but can be applied when more compounds are eluting. The results are compared with the ones obtained previously with the first version of this algorithm.
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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
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 i
The performance of the heurlstlc evolvmg latent proJectIons (HELP) method 1s mvestlgated for peak purity control m hqmd chromatography Hrlth photodlode array detectlon HELP and evolvmg factor analysis performed equally well, both techmques could detect less than 1% of a spectrally slmdar lmpunty eve
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