Biosorption of Escherichia coli Using ZnO-Trimethyl Chitosan Nanocomposite Hydrogel Formed by the Green Synthesis Route.
Ibrahim Birma BwatanglangFaruq MohammadJohn Nahadi JanetWasmia Mohammed DahanHamad A Al-LohedanAhmed A SoleimanPublished in: Gels (Basel, Switzerland) (2023)
In this study, we tested the biosorption capacity of trimethyl chitosan (TMC)-ZnO nanocomposite (NC) for the adsorptive removal of Escherichia coli ( E. coli ) in aqueous suspension. For the formation of ZnO NPs, we followed the green synthesis route involving Terminalia mantaly (TM) aqueous leaf extract as a reducing agent, and the formed ZnO particles were surface-coated with TMC biopolymer. On testing of the physicochemical characteristics, the TM@ZnO/TMC (NC) hydrogel showed a random spherical morphology with an average size of 31.8 ± 2.6 nm and a crystal size of 28.0 ± 7.7 nm. The zeta potential of the composite was measured to be 23.5 mV with a BET surface area of 3.01 m 2 g -1 . The spectral profiles of TM@ZnO/TMC NC hydrogel on interaction with Escherichia coli ( E. coli ) revealed some conformational changes to the functional groups assigned to the stretching vibrations of N-H, C-O-C, C-O ring, and C=O bonds. The adsorption kinetics of TM@ZnO/TMC NC hydrogel revealed the pseudo-second-order as the best fit mechanism for the E. coli biosorption. The surface homogeneity and monolayer adsorption of the TM@ZnO/TMC NC hydrogel reflects majorly the entire adsorption mechanism, observed to display the highest correlation for Jovanovic, Redlich-Peterson, and Langmuir's isotherm models. Further, with the use of TM@ZnO/TMC NC hydrogel, we measured the highest adsorption capacity of E. coli to be 4.90 × 10 mg g -1 , where an in-depth mechanistic pathway was proposed by making use of the FTIR analysis.
Keyphrases
- escherichia coli
- quantum dots
- reduced graphene oxide
- room temperature
- drug delivery
- visible light
- hyaluronic acid
- wound healing
- aqueous solution
- light emitting
- ionic liquid
- gold nanoparticles
- tissue engineering
- biofilm formation
- klebsiella pneumoniae
- computed tomography
- single cell
- molecular dynamics simulations
- molecular dynamics
- staphylococcus aureus
- multidrug resistant
- highly efficient
- carbon nanotubes
- climate change
- high resolution