Theory and last developments of the method List of papers related to the MCR-ALS, MCR-WALS and MCR-BANDS theory and development. |
Applications: spectroscopic studies of biomolecules MCR-ALS has been extensively applied to the study of acid-base equilibria, temperature stability and kinetic evolution of DNA and proteins. |
Applications: chromatographical and environmental studiesMCR-ALS has been applied to the resolution of overlapped chromatographic peaks and to the study of environmental data sets in order to identify the main sources of pollution. |
Applications: -omics and image analysisMCR methods have been proposed for the resolution of image analysis and for the -omics data. |
Applications: voltammetric studies of metal complexation equilibriaApplications of the MCR-ALS method to the study of data obtained by means of electroanalytical tecnhiques. |
Applications: other fields MCR-ALS has been also applied in other examples (industrial processes, FIA analysis, ...). |
Literature
Last Articles
List of some of the last papers published related to the development and/or application of the MCR methods:
1. Mas S, Tauler R, de Juan A. Chromatographic and spectroscopic data fusion analysis for interpretation of photodegradation processes. Journal of Chromatography A. 2011;1218(51):9260-8.
2. Stanimirova I, Tauler R, Walczak B. A comparison of positive matrix factorization and the weighted multivariate curve resolution method. application to environmental data. Environmental Science and Technology. 2011;45(23):10102-10.
3. Jaumot J, Eritja R, Gargallo R. Chemical equilibria studies using multivariate analysis methods. Analytical and Bioanalytical Chemistry. 2011;399(6):1983-97.
4. Piqueras S, Duponchel L, Tauler R, De Juan A. Resolution and segmentation of hyperspectral biomedical images by multivariate curve resolution-alternating least squares. Anal Chim Acta. 2011;705(1-2):182-92.
5. Abdollahi H, Tauler R. Uniqueness and rotation ambiguities in multivariate curve resolution methods. Chemometrics Intellig Lab Syst. 2011;108(2):100-11.
6. Jaumot J, Piña B, Tauler R. Application of multivariate curve resolution to the analysis of yeast genome-wide screens. Chemometrics Intellig Lab Syst. 2010;104(1):53-64.
7. Jaumot J, Tauler R. MCR-BANDS: A user friendly MATLAB program for the evaluation of rotation ambiguities in multivariate curve resolution. Chemometrics Intellig Lab Syst. 2010;103(2):96-107.
More published works are: