This paper presents the development of a support membrane based on chitosan, cellulose nanocrystals and glycerol (m-CCG) for the antibody immobilization by a covalent crosslinking using glutaraldehyde. The chemical characterization of the support by FTIR showed that m-CCG formation process was stabilized by the formation of hydrogen bonding between each component of m-CCG and the reactive amine groups allowing the antibody immobilization on m-CCG via glutaraldehyde. Moreover, this immobilization on m-CCG was optimized by mathematics modeling approaches, and it exhibited robustness and predictable detection in presence of 0.6% of cellulose nanocrystals (CNCs), 0.5 g of CCG solution per well, after 2 h of antibody immobilization. Results also showed that CNCs (0.6% w/v) was the most important factor of the optimization. At this concentration, CNCs improve the resistance of m-CCG during the crosslinking treatment by a modification of the surface topography and the reinforcement of the tensile strength of m-CCG at > 30%.

New immobilization method of anti-PepD monoclonal antibodies for the detection of Listeria monocytogenes p60 protein - Part A: Optimization of a crosslinked film support based on chitosan and cellulose nanocrystals (CNC)

D'Auria Sabato;
2019-01-01

Abstract

This paper presents the development of a support membrane based on chitosan, cellulose nanocrystals and glycerol (m-CCG) for the antibody immobilization by a covalent crosslinking using glutaraldehyde. The chemical characterization of the support by FTIR showed that m-CCG formation process was stabilized by the formation of hydrogen bonding between each component of m-CCG and the reactive amine groups allowing the antibody immobilization on m-CCG via glutaraldehyde. Moreover, this immobilization on m-CCG was optimized by mathematics modeling approaches, and it exhibited robustness and predictable detection in presence of 0.6% of cellulose nanocrystals (CNCs), 0.5 g of CCG solution per well, after 2 h of antibody immobilization. Results also showed that CNCs (0.6% w/v) was the most important factor of the optimization. At this concentration, CNCs improve the resistance of m-CCG during the crosslinking treatment by a modification of the surface topography and the reinforcement of the tensile strength of m-CCG at > 30%.
2019
Istituto di Scienze dell'Alimentazione - ISA
Chitosan
Cellulose nanocrystals
Antibody immobilization
Covalent crosslinking
Mathematical modeling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/383194
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