Crystalline nanocellulose/lauric arginate complexes. (1st November 2017)

• Record Type: Journal Article
• Authors: Chi, Kai; Catchmark, Jeffrey M.
• Is Part Of: Carbohydrate polymers. Volume 175(2017)
• Page Start: 320
• Page End: 329
• Publication Date: 2017-11-01
• Subjects: Crystalline nanocellulose -- Cationic surfactant -- Dewatering -- Interface compatibilization -- Micelle -- Nanocomposite; Polysaccharides -- Periodicals; Polysaccharides -- Periodicals; Polysaccharides -- Périodiques; Electronic journals; 547.78
• DOI: 10.1016/j.carbpol.2017.08.005
• Languages: English
• ISSNs: 0144-8617

Abstract

Highlights: Ionic strength and pH could dominate CNC-LAE binding interactions. Three driving forces were identified for CNC-LAE binding interactions. The adsorption of LAE to CNC notably impacted the properties of CNC. LAE adsorption is a green, sustainable surface modification way for CNC. Abstract: As a novel sustainable nanomaterial, crystalline nanocellulose (CNC) possesses many unique characteristics for emerging applications in coatings, emulsions, paints, pharmaceutical formulations, and other aqueous composite systems where interactions with oppositely charged surfactants are commonly employed. Herein, the binding interactions between sulfated CNC and a novel biologically-derived cationic surfactant lauric arginate (LAE) were comprehensively examined. Ionic strength and solution pH are two crucial factors in determining the adsorption of LAE to the CNC surface. Three different driving forces were identified for CNC-LAE binding interactions. Additionally, it was found that the adsorption of LAE to the CNC surface could notably impact the surface potential, aggregation state, hydrophobicity and thermal stability of the CNC. This work provides insights on the binding interactions between oppositely charged CNC and surfactants, and highlights the significance of optimizing the concentration of surfactant required to ionically decorate CNC for its enhanced dispersion and compatibilization in non-polar polymer matrices.