Design of monoliths through their mechanical properties

Hybrid machine learning model based predictions for properties of poly(2-hydroxyethyl methacrylate)-poly(vinyl alcohol) composite cryogels embedded with bacterial cellulose

Supermacroporous composite cryogels with enhanced adjustable functionality have received extensive interest in bioseparation, tissue engineering, and drug delivery. However, the variations in their components significantly impactfinal properties. This study presents a two-step hybrid machine learning approach for predicting the properties of innovative poly(2-hydroxyethyl methacrylate)-poly(vinyl alcohol) composite cryogels embedded with bacterial cellulose (pHEMA-PVA-BC) based on their compositions. By considering the ratios of HEMA (1.0-22.0 wt%), PVA (0.2-4.0 wt%), poly(ethylene glycol) diacrylate (1.0-4.5 wt%), BC (0.1-1.5 wt%), and water (68.0-96.0 wt%) as investigational variables, overlay sampling uniform design (OSUD) was employed to construct a high-quality dataset for model development. The random forest (RF) model was used to classify the preparation conditions. Then four models of artificial neural network, RF, gradient boosted regression trees (GBRT), and XGBoost were developed to predict the basic properties of the composite cryogels. The results showed that the RF model achieved an accurate three-class classification of preparation conditions. Among the four models, the GBRT model exhibited the best predictive performance of the basic properties, with the mean absolute percentage error of 16.04 %, 0.85 %, and 2.44 % for permeability, effective porosity, and height of theoretical plate (1.0 cm/min), respectively. Characterization results of the representative pHEMA-PVA-BC composite cryogel showed an effective porosity of 81.01 %, a permeability of 1.20 × 10-12 m2, and a range of height of theoretical plate between 0.40-0.49 cm at flow velocities of 0.5-3.0 cm/min. These indicate that the pHEMA-PVA-BC cryogel was an excellent material with supermacropores, low flow resistance and high mass transfer efficiency. Furthermore, the model output demonstrates that the alteration of the proportions of PVA (0.2-3.5 wt%) and BC (0.1-1.5 wt%) components in composite cryogels resulted in significant changes in the material basic properties. This work represents an attempt to efficiently design and prepare target composite cryogels using machine learning and providing valuable insights for the efficient development of polymers.

Wall-Immobilized Biocatalyst vs. Packed Bed in Miniaturized Continuous Reactors: Performances and Scale-Up

Sustainable biocatalysis syntheses have gained considerable popularity over the years. However, further optimizations - notably to reduce costs - are required if the methods are to be successfully deployed in a range of areas. As part of this drive, various enzyme immobilization strategies have been studied, alongside process intensification from batch to continuous production. The flow bioreactor portfolio mainly ranges between packed bed reactors and wall-immobilized enzyme miniaturized reactors. Because of their simplicity, packed bed reactors are the most frequently encountered at lab-scale. However, at industrial scale, the growing pressure drop induced by the increase in equipment size hampers their implementation for some applications. Wall-immobilized miniaturized reactors require less pumping power, but a new problem arises due to their reduced enzyme-loading capacity. This review starts with a presentation of the current technology portfolio and a reminder of the metrics to be applied with flow bioreactors. Then, a benchmarking of the most recent relevant works is presented. The scale-up perspectives of the various options are presented in detail, highlighting key features of industrial requirements. One of the main objectives of this review is to clarify the strategies on which future study should center to maximize the performance of wall-immobilized enzyme reactors.

Influence of porosity and microstructure on compression behavior of methacrylate polymers in flow-through applications

Mechanical properties of a material play a pivotal role in its performance when such porous material is used in a flow-through mode. This study delves into the effect of porosity and microstructure on the compressibility of methacrylate polymer, focusing on two distinct microstructures: cauliflower and high internal phase emulsion. Samples with various porosities yet identical chemical composition were prepared and their Young's modulus was measured. The effect of porosity on Young's modulus was described by an exponential law model with the cauliflower microstructure exhibiting an exponent of 3.61, while the high internal phase emulsion of only 1.86. A mathematical analysis of the compression caused by a liquid flow unveiled significant disparities in the porosity threshold where minimal compression is observed, being around 0.45 for the cauliflower while there is monotone decrease in compression with porosity increase for the high internal phase emulsion microstructure. Evaluating exponent integer values between 1 and 5 over entire porosity range reveals that the porosity where the minimal compression occurs increases with a decrease in exponent value, being approximately 0.33 for n = 5, 0.4 for n = 4, 0.55 for n = 3, 0.65 for n = 2 while no minimum occurs for n = 1. These findings indicate that lower exponent value results in lower compression under identical experimental conditions.

Flow-through enzymatic reactors using polymer monoliths: From motivation to application

The application of monolithic materials as carriers for enzymes has rapidly expanded to the realization of flow-through analysis and bioconversion processes. This expansion is partly attributed to the absence from diffusion limitation in many monoliths-based enzyme reactors. Particularly, the relatively ease of introducing functional groups renders polymer monoliths attractive as enzyme carriers. After summarizing the motivation to develop enzymatic reactors using polymer monoliths, this review reports the most recent applications of such reactors. Besides, the present review focuses on the crucial characteristics of polymer monoliths affecting the immobilization of enzymes and the processing parameters dictating the performance of the resulting enzymatic reactors. This review is intended to provide a guideline for designing and applying flow-through enzymatic reactors using polymer monoliths.

Wide-Bore Columns of Poly(Glycidyl Methacrylate-Co-Divinylbenzene)-Based Monolithic Beds for Reversed-Phase and Anion-Exchange Chromatographic Separation of Biomolecules

Three monoliths based on poly(glycidyl methacrylate-co-divinylbenzene) were prepared in the confines of borosilicate glass columns (100 × 3 mm I.D.). The first monolith was applied for analysis of proteins by reversed-phase high-performance liquid chromatography. It furnished a fast base-line separation for four proteins (ribonuclease A, cytochrome c, α-lactalbumin and myoglobin) in <80 s, with optimum resolution range of 2.11-2.84, and extremely small values of peak width at half height with a range of 1.0-1.6 s. The second and third monoliths were surface-modified into weak and strong anion-exchangers, respectively, and were investigated for anion-exchange (AE) high-performance liquid chromatography of four proteins with acidic isoelectronic points (bovine carbonic anhydrase, conalbumin, ovalbumin and soybean trypsin inhibitor) and of 5-phosphorylated oligodeoxythymidylic acids fragments [d(pT)12-18]. The weak AE monolith experienced complete elution of the four proteins applying a basic Tris-HCl buffer (0.02 M, pH 8.9); however, the strong AE monolith established a base-line separation of these proteins in ~14 min. Both monoliths showed base-line separation of the seven fragments of d(pT)12-18 in ~6 min. The ion-exchange capacity determined by frontal and elemental analyses was comparable for the weak AE monolith (0.75 and 0.80 meq/g) and for the strong AE monolith (0.81 and 0.87 meq/g), respectively. Finally, a run-to-run and monolith-to-monolith reproducibility showed a relative standard deviation in retention time of d(pT)12-18 fragments of <2%.

Reversible and easy post-crosslinking method for developing a surface ion-imprinted hypercrosslinked monolith for specific Cd(ii) ion removal from aqueous solutions

In this study, a new surface imprinting technique for preparing a hypercrosslinked monolith to selectively remove Cd(ii) ions out from aqueous solutions was proposed.

Ionic liquid-based zwitterionic organic polymer monolithic column for capillary hydrophilic interaction chromatography

A novel ionic liquid-based zwitterionic organic polymer monolithic column was developed, by copolymerization in a quaternary porogenic solvent, for capillary hydrophilic interaction chromatography.