Role of Hansen solubility parameters in solid phase extraction

• Published in: Journal of Chromatography A Vol. 1217; no. 35; pp. 5564 - 5570
• Main Authors: Bielicka-Daszkiewicz, K., Voelkel, A., Pietrzyńska, M., Héberger, K.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 27.08.2010; Amsterdam; New York: Elsevier; Elsevier
• Subjects: Adsorption; Analytical chemistry; Chemistry; Chemometrics; Chromatographic methods and physical methods associated with chromatography; Eluents; Exact sciences and technology; Extraction; Hansen solubility parameters; Hydrogen Bonding; Mathematical analysis; Multiple linear regression; Pattern recognition; Phenols - chemistry; Phenols - isolation & purification; Polymers - chemistry; Principal component analysis; Ranking; Regression; Solid Phase Extraction - instrumentation; Solid Phase Extraction - methods; Solubility; Solubility parameters; Solvents - chemistry; Sorbents; Hansen solubility parameters; Pattern recognition; Multiple linear regression; Chemometrics; Principal component analysis; Solid phase extraction; Linear regression; Reaction product; Prediction; Benzoquinone; Regression analysis; Chemical enrichment; Organic solvent; Phenol; Sample preparation; Solubility parameter; Oxidation; Adsorbent; Physicochemical properties
• ISSN: 0021-9673; 1873-3778
• DOI: 10.1016/j.chroma.2010.06.066

The sorbent–eluent systems combined from eight polymeric sorbents and seven solvents as eluents were used for the extraction of phenol and its oxidation products from water samples. The individual interactions between sorbents, eluents and analytes were characterized by Hansen solubility parameters. Principal components analysis (PCA) was used for revealing the dominant interactions (dispersive, polar, and hydrogen bonding type) in sorbent–analyte–eluent systems. The importance of solubility parameters was also determined by a novel procedure based on sum of ranking differences (SRD). Although PCA and ranking by SRD are based on different principles and calculations, they have provided very similar results. The recovery in a given system has been predicted from the magnitudes of mutual interactions (sorbent–analyte, sorbent–eluent, analyte–eluent) by multiple linear regression.