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Evaluation of Novel Sample Identification Approach Based on Chromatographic Fingerprint Set Correlation Homogenity Analysis (CROSBI ID 110051)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Debeljak, Željko ; Srečnik, Goran ; Madić, Tomislav ; Petrović, Marinko ; Knežević, Natalija ; Medić-Šarić, Marica 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

Podaci o odgovornosti

Debeljak, Željko ; Srečnik, Goran ; Madić, Tomislav ; Petrović, Marinko ; Knežević, Natalija ; Medić-Šarić, Marica

engleski

Evaluation of Novel Sample Identification Approach Based on Chromatographic Fingerprint Set Correlation Homogenity Analysis

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.

sample identification; fingerprint; homogenity analysis

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Podaci o izdanju

1062 (1)

2005.

79-86

objavljeno

0021-9673

10.1016/j.chroma.2004.11.012

Povezanost rada

Kemija, Farmacija

Poveznice
Indeksiranost