4.6 Article

Time evolution of amyloid fibril length distribution described by a population balance model

Journal

CHEMICAL ENGINEERING SCIENCE
Volume 78, Issue -, Pages 21-32

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2012.04.031

Keywords

Amyloids; Aggregation kinetics; Population balance; Mathematical modeling; Length distribution; beta-lactoglobulin

Funding

  1. Swiss National Science Foundation [200020-126487/1]
  2. Swiss National Science Foundation (SNF) [200020_126487] Funding Source: Swiss National Science Foundation (SNF)

Ask authors/readers for more resources

The formation of toxic protein aggregates is thought to be the key event in several neurodegenerative human diseases. In the last years, the combination of experimental characterization and kinetics models based on mass action laws or molecular dynamics gained important insights into the mechanistic description of the aggregation process. In this work, we investigate the fibrillation of beta-lactoglobulin, a common model protein for amyloid aggregation studies with relevant applications in the food industry. In addition to the determination of the fibrillation kinetics by Thioflavin-T, we measure the time evolution of the fibril length distribution during the aggregation process, in both stagnant and shaking conditions. A population balance equation model is used to simulate the experimental data. The model describes successfully the kinetics and the complete fibril length distribution in both conditions. We show that the description of the length distribution is fundamental in discriminating the correct mechanistic picture of the aggregation process. In particular, secondary nucleation due to length-dependent breakage is found to occur in both conditions, with larger extent under shaking conditions. However, it is found that, at least for the system under investigation, fragmentation by breakage alone cannot justify the absence of the lag phase when shaking is applied. This is also related to the effect of shaking on the primary nucleation rate and on the morphology of nuclei and fibrils formed in the early stages of aggregation. This effect is possibly to be attributed to the presence of hydrophobic air interfaces created through shaking. (C) 2012 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biotechnology & Applied Microbiology

Process design and development of a mammalian cell perfusion culture in shake-tube and benchtop bioreactors

Moritz K. F. Wolf, Andrea Mueller, Jonathan Souquet, Herve Broly, Massimo Morbidelli

BIOTECHNOLOGY AND BIOENGINEERING (2019)

Article Biochemical Research Methods

Experimental Evaluation of the Impact of Intrinsic Process Parameters on the Performance of a Continuous Chromatographic Polishing Unit (MCSGP)

Sebastian Vogg, Nicole Ulmer, Jonathan Souquet, Herve Broly, Massimo Morbidelli

BIOTECHNOLOGY JOURNAL (2019)

Article Biotechnology & Applied Microbiology

Decision Tree-PLS (DT-PLS) algorithm for the development of process: Specific local prediction models

Harini Narayanan, Michael Sokolov, Alessandro Butte, Massimo Morbidelli

BIOTECHNOLOGY PROGRESS (2019)

Article Biotechnology & Applied Microbiology

A new flow cell and chemometric protocol for implementing in-line Raman spectroscopy in chromatography

Fabian Feidl, Simone Garbellini, Sebastian Vogg, Michael Sokolov, Jonathan Souquet, Herve Broly, Alessandro Butte, Massimo Morbidelli

BIOTECHNOLOGY PROGRESS (2019)

Review Biochemical Research Methods

Bioprocessing in the Digital Age: The Role of Process Models

Harini Narayanan, Martin F. Luna, Moritz von Stosch, Mariano Nicolas Cruz Bournazou, Gianmarco Polotti, Massimo Morbidelli, Alessandro Butte, Michael Sokolov

BIOTECHNOLOGY JOURNAL (2020)

Article Biotechnology & Applied Microbiology

Process intensification by frontal chromatography: Performance comparison of resin and membrane adsorber for monovalent antibody aggregate removal

Sebastian Vogg, Felix Pfeifer, Nicole Ulmer, Massimo Morbidelli

BIOTECHNOLOGY AND BIOENGINEERING (2020)

Article Biochemical Research Methods

Modeling the nonlinear behavior of a bioactive peptide in reversed-phase gradient elution chromatography

Chiara De Luca, Simona Felletti, Marco Macis, Walter Cabri, Giulio Lievore, Tatiana Chenet, Luisa Pasti, Massimo Morbidelli, Alberto Cavazzini, Martina Catani, Antonio Ricci

JOURNAL OF CHROMATOGRAPHY A (2020)

Article Biochemical Research Methods

Design space and robustness analysis of batch and counter-current frontal chromatography processes for the removal of antibody aggregates

Sebastian Vogg, Thomas Mueller-Spaeth, Massimo Morbidelli

JOURNAL OF CHROMATOGRAPHY A (2020)

Article Biotechnology & Applied Microbiology

Hybrid-EKF: Hybrid model coupled with extended Kalman filter for real-time monitoring and control of mammalian cell culture

Harini Narayanan, Lars Behle, Martin F. Luna, Michael Sokolov, Gonzalo Guillen-Gosalbez, Massimo Morbidelli, Alessandro Butte

BIOTECHNOLOGY AND BIOENGINEERING (2020)

Article Biotechnology & Applied Microbiology

Cell culture process metabolomics together with multivariate data analysis tools opens new routes for bioprocess development and glycosylation prediction

Philipp Zurcher, Michael Sokolov, David Bruhlmann, Raphael Ducommun, Matthieu Stettler, Jonathan Souquet, Martin Jordan, Herve Broly, Massimo Morbidelli, Alessandro Butte

BIOTECHNOLOGY PROGRESS (2020)

Article Biochemical Research Methods

From batch to continuous chromatographic purification of a therapeutic peptide through multicolumn countercurrent solvent gradient purification

Chiara De Luca, Simona Felletti, Giulio Lievore, Alessandro Buratti, Sebastian Vogg, Massimo Morbidelli, Alberto Cavazzini, Martina Catani, Marco Macis, Antonio Ricci, Walter Cabri

JOURNAL OF CHROMATOGRAPHY A (2020)

Article Multidisciplinary Sciences

A portable optical-fibre-based surface plasmon resonance biosensor for the detection of therapeutic antibodies in human serum

Luigi Zeni, Chiara Perri, Nunzio Cennamo, Francesco Arcadio, Girolamo D'Agostino, Mario Salmona, Marten Beeg, Marco Gobbi

SCIENTIFIC REPORTS (2020)

Article Biotechnology & Applied Microbiology

Analysis and optimal design of batch and two-column continuous chromatographic frontal processes for monoclonal antibody purification

Ce Shi, Sebastian Vogg, Dong-Qiang Lin, Mattia Sponchioni, Massimo Morbidelli

Summary: A study developed a design procedure (DP) suitable for optimizing both batch frontal chromatography and Flow2 in terms of purity, yield, and productivity. Comparing the two operated at their optimal conditions showed that the Flow2 process demonstrated a more favorable Pareto front of yield and productivity at a specified purity, and exhibited improved robustness compared to the batch process.

BIOTECHNOLOGY AND BIOENGINEERING (2021)

Article Biotechnology & Applied Microbiology

Continuous countercurrent chromatographic twin-column purification of oligonucleotides: The role of the displacement effect

Ismaele Fioretti, Thomas Mueller-Spaeth, Richard Weldon, Sebastian Vogg, Massimo Morbidelli, Mattia Sponchioni

Summary: Oligonucleotides (ONs) are a promising class of biotherapeutics in the biopharmaceutical industry due to their unique way of regulating gene expression and influencing protein synthesis. However, their production cost limits large-scale manufacturing, which can be alleviated through process intensification. In this study, an efficient and continuous chromatographic purification process for ONs was developed, improving productivity and buffer consumption compared to traditional batch processes.

BIOTECHNOLOGY AND BIOENGINEERING (2022)

Article Biochemistry & Molecular Biology

Rational Design of a Peptidomimetic Inhibitor of Gelsolin Amyloid Aggregation

Michela Bollati, Kaliroi Peqini, Luigi Barone, Carmina Natale, Marten Beeg, Marco Gobbi, Luisa Diomede, Michelangelo Trucchi, Matteo de Rosa, Sara Pellegrino

Summary: Gelsolin amyloidosis is a disease characterized by abnormal deposition of gelsolin protein in tissues, for which there is currently no cure. Researchers have designed and synthesized three peptidomimetics that effectively inhibit the aggregation of amyloidogenic peptides and have demonstrated their efficacy in vivo. These findings provide a new pharmacological strategy against gelsolin amyloidosis and suggest potential applications in other amyloidogenic diseases.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2022)

Article Engineering, Chemical

Directly assembling initial metal-organic framework and covalent organic polymer toward bifunctional oxygen electrocatalysts for Zn-air flow battery

Qing Han, Mengqing Shi, Linkai Han, Di Liu, Mingwei Tong, Yuxin Xie, Zhonghua Xiang

Summary: Developing highly efficient bifunctional oxygen electrocatalysts is crucial for zinc-air flow batteries. Metal-organic frameworks (MOFs) and covalent organic polymers (COPs) have emerged as promising alternatives due to their designable and controllable atomic-level structures. However, their catalytic performances are limited by conductivity and catalytic activity. In this study, nanosheet FeNi-MOF and iron phthalocyanine rich COP hybrid materials are assembled through the pi-pi stacking effect to create highly efficient bifunctional electrocatalysts. The resulting catalyst exhibits superior catalytic performance and stability, making it a promising candidate for zinc-air flow batteries.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Phase equilibria modeling of cross-associating systems guided by a quantum chemical multi-conformational framework

Daria Grigorash, Dmytro Mihrin, Rene Wugt Larsen, Erling H. Stenby, Wei Yan

Summary: The article introduces a new approach to describe the cross-association between molecules, allowing for the simulation of weakly bound molecular complexes with different conformations in mixtures. By incorporating this approach into the equation of state, accurate predictions of vapor-liquid equilibrium and liquid-liquid equilibrium can be made. The new method is validated through experiments on alcohol and acid mixtures, with the results compared to experimental data, demonstrating its accuracy and reliability.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Investigating the effect of sintering rate and solvent type on the liquid transport kinetics of α-alumina powder compacts

Mohammed Al-Sharabi, Daniel Markl, Vincenzino Vivacqua, Prince Bawuah, Natalie Maclean, Andrew P. E. York, Axel Zeitler

Summary: This study used terahertz pulsed imaging to investigate the transport process of different solvents into ceramic catalytic materials. The results showed that the heating rate of the samples influenced the water transport rate, while the viscosity of 1-octanol slowed down its transport.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

A new semi-empirical correlation for estimating settling dynamics of suspensions in viscoelastic shear-thinning fluids

Chukwunonso Anyaoku, Sati Bhattacharya, Rajarathinam Parthasarathy

Summary: This study aimed to enhance understanding of settling dynamics in viscoelastic fluids by developing a semi-empirical correlation and a dimensionless ratio, which accurately described the characteristics of settling suspensions.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Pipe rheology of wet aqueous application foams

Antti I. Koponen, Janika Viitala, Atsushi Tanaka, Baranivignesh Prakash, Olli-Ville Laukkanen, Ari Jasberg

Summary: This study focuses on the development of foam application chemicals for the paper and board industry. The research explores the rheology of the polyvinyl alcohol foam used in the process. Measurements were conducted to determine the foam viscosity and slip flow. The results suggest that slip flow contributes significantly to the total flow rate, and the obtained viscosity and slip models provide a solid foundation for industrial processes.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Boosting the visible light photo-thermal catalytic performance of α-Bi2O3 by tuning Fe doping amount in carbonylation of isobutyl amine with CO2

Dalei Sun, Jinghui Cai, Yating Yang, Zhiwu Liang

Summary: In this study, Fe-doped alpha-Bi2O3 catalysts with different Fe/Bi molar ratios were synthesized and utilized in the carbonylation of isobutyl amine with CO2. The results showed that Fe doping significantly enhanced the catalytic abilities of alpha-Bi2O3.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Prediction of nitrogen solubility in ionic liquids by machine learning methods based on COSMO-derived descriptors

Yuan Tian, Xinxin Wang, Yanrong Liu, Wenping Hu

Summary: This paper predicts the solubility of nitrogen gas in ionic liquids (ILs) using two quantitative structure-property relationship (QSPR) models. By combining machine learning methods and ionic fragments contribution method, the accuracy and reliability of the prediction models are improved.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Study on effective phase interfacial area at different injection angles of hydro-jet cyclone

Liwang Wang, Wei Liu, Pan Yang, Yulong Chang, Xiaoxu Duan, Lingyu Xiao, Yaoming Hu, Jiwei Wu, Liang Ma, Hualin Wang

Summary: This study investigates the effective phase interfacial area (ae) of hydro-jet cyclones at different injection angles. The results show that a 45 degrees upward incidence angle yields the most favorable flow field characteristics for efficient mass transfer. The significant enhancement in ae of the hydro-jet cyclones offers the advantage of reducing equipment volume and cost savings.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Experimental determination and thermodynamic modeling of the hydrogen sulfide hydrate solubility in water

Chuanjun Wu, Jiangzhi Chen, Jiyue Sun, I-Ming Chou, Shenghua Mei, Juezhi Lin, Lei Jiang

Summary: In this study, the solubility of H2S hydrate in water was measured using Raman spectroscopy. The results showed that the solubility increases with temperature under certain equilibrium conditions, and the solubility also depends on pressure and temperature under different equilibrium conditions. A thermodynamic model based on the van der Waals-Platteeuw theory was developed to predict the solubility, demonstrating its accuracy.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Chemical recycling of polyethylene terephthalate (PET) to monomers: Mathematical modeling of the transesterification reaction of bis (2-hydroxyethyl) terephthalate to dimethyl terephthalate

Lorenzo Brivio, Serena Meini, Mattia Sponchioni, Davide Moscatelli

Summary: This study investigates the influence of three main parameters and proposes a kinetic model to predict the optimal operating conditions for high yield of dimethyl terephthalate (DMT) in the chemical recycling process of polyethylene terephthalate (PET).

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Hierarchical porous honeycomb NiCo/C catalyst for decarboxylation of fatty acids and upgrading of sludge bio-crude

Hongju Lin, Fanhui Liao, Yanchang Chu, Mingyu Xie, Lun Pan, Yuanyuan Wang, Lijian Leng, Donghai Xu, Le Yang, Gangfeng Ouyang

Summary: A honeycomb NiCo/C-Na catalyst with a micro-meso-macroporous structure has been fabricated and shown to have significantly higher catalytic activity for the decarboxylation of fatty acids. It also proves to be efficient in upgrading sludge HTL bio-crude, resulting in a biofuel with decreased viscosity and increased density.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

High hydrothermal stability Co@NC catalyst for hydrothermal deoxygenation of algae-based bio-oil model compound

Xiaoxian Li, Rui Li, Min Lin, Mingde Yang, Yulong Wu

Summary: A series of coated non-noble metal porous carbon catalysts were synthesized and applied to the aqueous-phase deoxygenation of algal bio-oil. One of the catalysts showed excellent deoxygenation selectivity and catalytic activity at 250 degrees C. The catalyst exhibited good hydrothermal stability and the reaction mechanism was proposed based on product analysis and active site analysis.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Effect of potassium in catalysts obtained by the solution combustion synthesis for co-production of hydrogen and carbon nanofibers by catalytic decomposition of methane

M. V. Chudakova, M. V. Popov, P. A. Korovchenko, E. O. Pentsak, A. R. Latypova, P. B. Kurmashov, A. A. Pimenov, E. A. Tsilimbaeva, I. S. Levin, A. G. Bannov, A. V. Kleymenov

Summary: A series of catalysts with different potassium contents were prepared using solution combustion synthesis and characterized using various techniques. The results showed that the potassium content affected the phase composition and texture of the catalysts. The addition of a small amount of potassium resulted in a change in particle size distribution, leading to higher hydrogen yield. The Ni-1%K2O/Al2O3 catalyst exhibited the highest hydrogen yield at temperatures of 675 and 750 degrees Celsius.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

Modification of e-CPA for estimating phase equilibria and development of predictive models for electrical conductivity in aqueous electrolyte solutions

Aliakbar Roosta, Nima Rezaei

Summary: In this study, we modified the electrolyte cubic plus association equation of state (e-CPA EoS) and integrated it with two electrical conductivity models to estimate the electrical conductivity of 11 monovalent electrolyte solutions in water. The modified e-CPA model demonstrated better performance and the hybridization with electrical conductivity models resulted in two predictive models for estimating the electrical conduction of dilute and concentrated electrolyte solutions. These predictive models showed relative average percentage deviations (AARD) of 11.15% and 13.87% over wide ranges of temperature and electrolyte concentration.

CHEMICAL ENGINEERING SCIENCE (2024)

Article Engineering, Chemical

QSPR models for complexation performance of α-cyclodextrin and β-cyclodextrin complexes by norm indices

Haoren Niu, Jianzheng Wang, Qingzhu Jia, Qiang Wang, Jin Zhao, Fangyou Yan

Summary: A study developed two quantitative structure-property relationship models for the complexation performance of alpha- and beta-cyclodextrins and validated their stability and predictive ability through internal and external validation. The models showed robustness and satisfactory performance, as demonstrated by the experimental results and model validations. These models can effectively predict the binding constants between cyclodextrins and various types of molecules, providing valuable tools for cyclodextrin design.

CHEMICAL ENGINEERING SCIENCE (2024)