APA (7th ed.) Citation

Iorgulescu, E., Voicu, V., Sârbu, C., Tache, F., Albu, F., & Medvedovici, A. (2016). Experimental variability and data pre-processing as factors affecting the discrimination power of some chemometric approaches (PCA, CA and a new algorithm based on linear regression) applied to (+/−)ESI/MS and RPLC/UV data: Application on green tea extracts. Talanta (Oxford), 155, 133-144. https://doi.org/10.1016/j.talanta.2016.04.042

Chicago Style (17th ed.) Citation

Iorgulescu, E., V.A Voicu, C. Sârbu, F. Tache, F. Albu, and A. Medvedovici. "Experimental Variability and Data Pre-processing as Factors Affecting the Discrimination Power of Some Chemometric Approaches (PCA, CA and a New Algorithm Based on Linear Regression) Applied to (+/−)ESI/MS and RPLC/UV Data: Application on Green Tea Extracts." Talanta (Oxford) 155 (2016): 133-144. https://doi.org/10.1016/j.talanta.2016.04.042.

MLA (9th ed.) Citation

Iorgulescu, E., et al. "Experimental Variability and Data Pre-processing as Factors Affecting the Discrimination Power of Some Chemometric Approaches (PCA, CA and a New Algorithm Based on Linear Regression) Applied to (+/−)ESI/MS and RPLC/UV Data: Application on Green Tea Extracts." Talanta (Oxford), vol. 155, 2016, pp. 133-144, https://doi.org/10.1016/j.talanta.2016.04.042.