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Artico M, Roux C, Peruch F, Mingotaud AF, Montanier CY. Grafting of proteins onto polymeric surfaces: A synthesis and characterization challenge. Biotechnol Adv 2023; 64:108106. [PMID: 36738895 DOI: 10.1016/j.biotechadv.2023.108106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
This review aims at answering the following question: how can a researcher be sure to succeed in grafting a protein onto a polymer surface? Even if protein immobilization on solid supports has been used industrially for a long time, hence enabling natural enzymes to serve as a powerful tool, emergence of new supports such as polymeric surfaces for the development of so-called intelligent materials requires new approaches. In this review, we introduce the challenges in grafting protein on synthetic polymers, mainly because compared to hard surfaces, polymers may be sensitive to various aqueous media, depending on the pH or reductive molecules, or may exhibit state transitions with temperature. Then, the specificity of grafting on synthetic polymers due to difference of chemical functions availability or difference of physical properties are summarized. We present next the various available routes to covalently bond the protein onto the polymeric substrates considering the functional groups coming from the monomers used during polymerization reaction or post-modification of the surfaces. We also focus our review on a major concern of grafting protein, which is avoiding the potential loss of function of the immobilized protein. Meanwhile, this review considers the different methods of characterization used to determine the grafting efficiency but also the behavior of enzymes once grafted. We finally dedicate the last part of this review to industrial application and future prospective, considering the sustainable processes based on green chemistry.
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Affiliation(s)
- M Artico
- Laboratory IMRCP, CNRS UMR 5623, University Paul Sabatier, Toulouse, France; TBI, Université de Toulouse, CNRS, INRAE, INSA, Toulouse, France
| | - C Roux
- Laboratory IMRCP, CNRS UMR 5623, University Paul Sabatier, Toulouse, France
| | - F Peruch
- Univ. Bordeaux, CNRS, Bordeaux INP, LCPO, UMR 5629, Pessac, France
| | - A-F Mingotaud
- Laboratory IMRCP, CNRS UMR 5623, University Paul Sabatier, Toulouse, France.
| | - C Y Montanier
- TBI, Université de Toulouse, CNRS, INRAE, INSA, Toulouse, France.
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Malar CG, Seenuvasan M, Murugesan M, Ron Carter SB, Kumar KS. Modelling of urea hydrolysis kinetics using genetic algorithm coupled artificial neural networks in urease immobilized magnetite nanoparticles. CHEMOSPHERE 2022; 303:134929. [PMID: 35577134 DOI: 10.1016/j.chemosphere.2022.134929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/21/2022] [Accepted: 05/07/2022] [Indexed: 06/15/2023]
Abstract
The presence of urea in runoff from fertilized soil could be contributing to the growth of dangerous blooms. Enzymatic urea hydrolysis is a well-known outstanding process that, when integrated with nanotechnology, would be much more efficient. This research provides a novel perspective on magnetic nanobiocatalysts that reduce diffusion barriers in effective urea hydrolysis. Surprisingly, the model developed with the use of a Genetic Algorithm (GA) and an Artificial Neural Network (ANN) demonstrated that the system's diffusion restrictions were reduced. In order to forecast accurate outputs using artificial intelligence (AI), a neural network with one hidden layer and 20 neurons was built utilizing multilayer feed-forward network and showed highest output (diffusion co-efficient) with least mean square error (MSE). The diffusion coefficients of free urease, urease immobilized onto porous MNs (U-aMNs), and nanobiocatalyst, i.e. urease immobilized onto surface modified MNs (U-MNβ), were 1.9 × 10-17, 12.62 × 10-16, and 15.48 × 10-16 cm2/min, respectively. These results revealed that the addition of Chitosan to the surface of MNs had a considerable impact on enzyme dispersion. The decrease in Damkohler number (Da) from 2.37 ± 0.26 for U-aMNs to 2.19 ± 0.11 for U-MNβ suggested a beneficial effect in overcoming diffusion constraints. Pseudo-first order and pseudo-second order models were used to analyze urea uptake kinetics, with the former model offering the best fit to the system, with R2 values that were much closer to unity.
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Affiliation(s)
- Carlin Geor Malar
- Department of Biotechnology, Rajalakshmi Engineering College, Thandalam, Tamilnadu, 602105, India.
| | - Muthulingam Seenuvasan
- Department of Chemical Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, India.
| | - Mohanraj Murugesan
- Department of Mechanical Engineering, Hindusthan College of Engineering and Technology, Coimbatore, 641032, India
| | - S B Ron Carter
- Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Thandalam, Tamilnadu, 602105, India
| | - Kannaiyan Sathish Kumar
- Department of Chemical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamilnadu, 603110, India
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Zhao YZ, Chen R, Xue PP, Luo LZ, Zhong B, Tong MQ, Chen B, Yao Q, Yuan JD, Xu HL. Magnetic PLGA microspheres loaded with SPIONs promoted the reconstruction of bone defects through regulating the bone mesenchymal stem cells under an external magnetic field. MATERIALS SCIENCE & ENGINEERING. C, MATERIALS FOR BIOLOGICAL APPLICATIONS 2021; 122:111877. [PMID: 33641893 DOI: 10.1016/j.msec.2021.111877] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 12/17/2020] [Accepted: 01/07/2021] [Indexed: 02/06/2023]
Abstract
Superparamagnetic iron oxide nanoparticles (SPIONs) have been presented to regulate the migration and osteogenic differentiation of bone mesenchymal stem cells (BMSCs) under magnetic field (MF). However, the toxicity and short residence for the massively exposed SPIONs at bone defects compromises their practical application. Herein, SPIONs were encapsulated into PLGA microspheres to overcome these shortcomings. Three types of PLGA microspheres (PFe-I, PFe-II and PFe-III) were prepared by adjusting the feeding amount of SPIONs, in which the practical SPIONs loading amounts was 1.83%, 1.38% and 1.16%, respectively. The average diameter of the fabricated microspheres ranged from 160 μm to 200 μm, having the porous and rough surfaces displayed by SEM. Moreover, they displayed the magnetic property with a saturation magnetization of 0.16 emu/g. In vitro cell studies showed that most of BMSCs were adhered on the surface of PFe-II microspheres after 2 days of co-culture. Moreover, the osteoblasts differentiation of BMSCs was significantly promoted by PFe-II microspheres after 2 weeks of co-culture, as shown by detecting osteogenesis-related proteins expressions of ALP, COLI, OPN and OCN. Afterward, PFe-II microspheres were surgically implanted into the defect zone of rat femoral bone, followed by exposure to an external MF, to evaluate their bone repairing effect in vivo. At 6th week after treatment with PFe-II + MF, the bone mineral density (BMD, 263.97 ± 25.99 mg/cm3), trabecular thickness (TB.TH, 0.58 ± 0.08 mm), and bone tissue volume/total tissue volume (BV/TV, 78.28 ± 5.01%) at the defect zone were markedly higher than that of the PFe-II microspheres alone (BMD, 194.34 ± 26.71 mg/cm3; TB.TH, 0.41 ± 0.07 mm; BV/TV, 50.49 ± 6.41%). Moreover, the higher expressions of ALP, COLI, OPN and OCN in PFe-II + MF group were displayed in the repairing bone. Collectively, magnetic PLGA microspheres together with MF may be a promising strategy for repairing bone defects.
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Affiliation(s)
- Ying-Zheng Zhao
- Department of Ultrasonography, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, Zhejiang Province 325000, China; Department of Pharmaceutics, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou City, Zhejiang Province 325035, China.
| | - Rui Chen
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou City, Zhejiang Province 325035, China
| | - Peng-Peng Xue
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou City, Zhejiang Province 325035, China
| | - Lan-Zi Luo
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou City, Zhejiang Province 325035, China
| | - Bin Zhong
- Department of Pharmacy, the First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China
| | - Meng-Qi Tong
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou City, Zhejiang Province 325035, China
| | - Bin Chen
- Department of Ultrasonography, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, Zhejiang Province 325000, China
| | - Qing Yao
- Department of Ultrasonography, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, Zhejiang Province 325000, China
| | - Jian-Dong Yuan
- Department of Orthopaedics, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - He-Lin Xu
- Department of Ultrasonography, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, Zhejiang Province 325000, China; Department of Pharmaceutics, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou City, Zhejiang Province 325035, China.
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