Pregled bibliografske jedinice broj: 175265
Evaluation of Novel Sample Identification Approach Based on Chromatographic Fingerprint Set Correlation Homogenity Analysis
Evaluation of Novel Sample Identification Approach Based on Chromatographic Fingerprint Set Correlation Homogenity Analysis // Journal of Chromatography A, 1062 (2005), 1; 79-86 doi:10.1016/j.chroma.2004.11.012 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 175265 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Evaluation of Novel Sample Identification Approach Based on Chromatographic Fingerprint Set Correlation Homogenity Analysis
Autori
Debeljak, Željko ; Srečnik, Goran ; Madić, Tomislav ; Petrović, Marinko ; Knežević, Natalija ; Medić-Šarić, Marica
Izvornik
Journal of Chromatography A (0021-9673) 1062
(2005), 1;
79-86
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
sample identification; fingerprint; homogenity analysis
Sažetak
Instead of usual rationale for chromatographic fingerprint based sample identification which relies upon visual inspection or principal component analysis of raw or aligned chromatograms novel nonparametric statistical measure of fingerprint set homogeneity is proposed. Randomization test is applied for significance analysis of fingerprint set homogeneity while average maximum crosscorrelation is used as a merit function. Chromatogram sets generated by random selection from standard and unknown sample chromatogram collections are compared with respect to merit function values with set of chromatograms that represents standard and/or unknown sample. In that instance fingerprint homogeneity significance is represented by the fraction of random chromatogram sets that have higher merit values than the standard and/or unknown sample sets. A set of peptide maps corresponding to different haemoglobin variants has been selected for evaluation of proposed test. This approach is compared to chromatogram alignment based on correlation optimized warping coupled with principal component or cluster analysis. Proposed method is simple i.e. straightforward sample identification procedure which reliability has been evaluated here. Impact of this approach on peptide mapping validation and system suitability analysis is discussed.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Farmacija
POVEZANOST RADA
Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb,
Pliva-Istraživački institut,
Fakultet kemijskog inženjerstva i tehnologije, Zagreb
Profili:
Marica Medić-Šarić
(autor)
Natalija Knežević
(autor)
Željko Debeljak
(autor)
Marinko Petrović
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
Uključenost u ostale bibliografske baze podataka::
- CA Search (Chemical Abstracts)