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Untersuchungen zum Gleichgewicht und der Dynamik der Absorption von Bor auf Calciumalginat‐Gelkügelchen mittels Hauptkomponentenanalyse und partiellen kleinsten Quadraten
Author(s) -
Ruiz M.,
Roset L.,
Demey H.,
Castro S.,
Sastre A. M.,
Pérez J. J.
Publication year - 2013
Publication title -
materialwissenschaft und werkstofftechnik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.285
H-Index - 38
eISSN - 1521-4052
pISSN - 0933-5137
DOI - 10.1002/mawe.201300144
Subject(s) - adsorption , partial least squares regression , calcium alginate , chemistry , principal component analysis , correlation coefficient , chromatography , boron , analytical chemistry (journal) , calcium , mathematics , statistics , organic chemistry
In this paper, boron removal from aqueous solutions by adsorption on calcium alginate gel beads was investigated. Based on the batch tests, calcium alginate gel beads demonstrated a good capacity of adsorption; the maximum capacity obtained was 121 mg/g at pH 6. The aim of this paper is the study of analytical tools for extracting more analytical information from a few experiments. Principal component analysis (PCA) was employed to perform a comparative analysis between different isotherms obtained by varying the percentage of alginate on the adsorbent beads. The calculated fraction of the cumulative sum of squares for all the components (R2X(cum)) and the predictive reliability model based on the value of the correlation coefficient of cross validation (Q 2 (cum)) obtained were 0.9639 and 0.8523, respectively. Dynamic system study using 20 different columns was carried out. Partial least squares (PLS) modeling are applied to characterize the effect of the experimental variables on the adsorption process. Some of the descriptors studied were the initial boron concentration ( C o ), adsorbent mass ( m ), pH , column diameter ( d c ), column depth ( Z ) and superficial flow velocity ( U 0 ). Experimental adsorptions were compared against predicted adsorptions and a correlation coefficient (r 2 ) of 0.9927 was obtained.