TY - JOUR
T1 - New immobilization method of anti-PepD monoclonal antibodies for the detection of Listeria monocytogenes p60 protein – Part A
T2 - Optimization of a crosslinked film support based on chitosan and cellulose nanocrystals (CNC)
AU - Etty, Marie Christine
AU - D'Auria, Sabato
AU - Shankar, Shiv
AU - Salmieri, Stephane
AU - Coutu, Julie
AU - Baraketi, Amina
AU - Jamshidan, Majid
AU - Fraschini, Carole
AU - Lacroix, Monique
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/1
Y1 - 2020/1
N2 - 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%.
AB - 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%.
KW - Antibody immobilization
KW - Cellulose nanocrystals
KW - Chitosan
KW - Covalent crosslinking
KW - Mathematical modeling
UR - https://www.scopus.com/pages/publications/85068554108
U2 - 10.1016/j.reactfunctpolym.2019.06.021
DO - 10.1016/j.reactfunctpolym.2019.06.021
M3 - Article
AN - SCOPUS:85068554108
SN - 1381-5148
VL - 146
JO - Reactive and Functional Polymers
JF - Reactive and Functional Polymers
M1 - 104313
ER -