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P S, Kumari A, Kundu S, Sankar VR, Thella PK, Shah K, Bhargava SK. Design and Optimization of Antisolvent Crystallization of L-aspartic acid using Response Surface Model: Focused Beam Reflectance Measurements. Chem Eng Res Des 2023. [DOI: 10.1016/j.cherd.2023.01.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Sharma A, McDonald MA, Rose HB, Chernoff YO, Behrens SH, Bommarius AS. Modeling Amyloid Aggregation Kinetics: A Case Study with Sup35NM. J Phys Chem B 2021; 125:4955-4963. [PMID: 33961433 DOI: 10.1021/acs.jpcb.0c11250] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Understanding the aggregation mechanism of amyloid proteins, such as Sup35NM, is essential to understanding amyloid diseases. Significant recent work has focused on using the fluorescence of thioflavin T (ThT), which undergoes a red shift when bound to amyloid aggregates, to monitor amyloid fibril formation. In the present study, the progression of the total mass of aggregates during fibril formation is monitored for initial monomer concentrations in order to infer the relevant aggregation mechanisms. This workflow was implemented using the amyloid-forming fragment Sup35NM under different agitation conditions and for initial monomer concentrations spanning 2 orders of magnitude. The analysis suggests that primary nucleation, monomeric elongation, secondary nucleation, and fragmentation might all be relevant, but their relative importance could not be determined unambiguously, despite the large set of high-quality data. Discriminating between the fibril-generating processes is shown to require additional information, such as a fibril length distribution. Using Sup35NM as a case study, a framework for fitting the parameters of arbitrary amyloid aggregation kinetics is developed based on a population balance model (PBM), which resolves not only the total aggregate mass (monitored experimentally via ThT fluorescence) but the entire fibril length distribution over time. In addition to the rich new set of ThT fluorescence data, we have reanalyzed a previously published aggregate size distribution using this method. With the size distribution, it was determined that in the reanalyzed in vitro experiment, secondary nucleation generated significantly fewer new Sup35NM fibrils than fragmentation. The proposed strategy of applying the same PBM to a combination of kinetic data from fluorescence monitoring and experimental fibril length distributions will allow the inference of aggregation mechanisms with far greater confidence than fluorescence studies alone.
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Affiliation(s)
- Aditi Sharma
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Matthew A McDonald
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Harrison B Rose
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Yury O Chernoff
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.,Laboratory of Amyloid Biology, St. Petersburg State University, St. Petersburg 199034, Russia
| | - Sven H Behrens
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.,Polymer Science & Materials Chemistry, Exponent, Inc., Atlanta, Georgia 30326, United States
| | - Andreas S Bommarius
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.,School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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Keshavarz L, Pishnamazi M, Rao Khandavilli U, Shirazian S, Collins MN, Walker GM, Frawley PJ. Tailoring crystal size distributions for product performance, compaction of paracetamol. ARAB J CHEM 2021. [DOI: 10.1016/j.arabjc.2021.103089] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Kutluay S, Ceyhan AA, Şahin Ö, İzgi MS. Utilization of In Situ FBRM and PVM Probes to Analyze the Influences of Monopropylene Glycol and Oleic Acid as Novel Additives on the Properties of Boric Acid Crystals. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c00551] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Sinan Kutluay
- Department of Chemical Engineering, Faculty of Engineering, Siirt University, 56100 Siirt, Turkey
| | - A. Abdullah Ceyhan
- Department of Chemical Engineering, Faculty of Engineering and Natural Sciences, Konya Technical University, 42130 Konya, Turkey
| | - Ömer Şahin
- Department of Chemical Engineering, Faculty of Engineering, Siirt University, 56100 Siirt, Turkey
| | - M. Sait İzgi
- Department of Chemical Engineering, Faculty of Engineering, Siirt University, 56100 Siirt, Turkey
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Abstract
In this paper, theories on anisotropic crystal growth and crystallization of atropisomers are reviewed and a model for anisotropic crystal growth from solution containing slow inter-converting conformers is presented. The model applies to systems with growth-dominated crystallization from solutions and assumes that only one conformation participates in the solute integration step and is present in the crystal lattice. Other conformers, defined as the wrong conformers, must convert to the right conformer before they can assemble to the crystal lattice. The model presents a simple implicit method for evaluating the growth inhibition effect by the wrong conformers. The crystal growth model applies to anisotropic growth in two main directions, namely a slow-growing face and a fast-growing face and requires the knowledge of solute crystal face integration coefficients in both directions. A parameter estimation algorithm was derived to extract those coefficients from data about temporal concentration and crystal size during crystallization and was designed to have a short run time, while providing a high-resolution estimation. The model predicts a size-dependent growth rate and simulations indicated that for a given seed size and solvent system and for an isothermal anti-solvent addition crystallization, the seed loading and the supersaturation at seeding are the main factors impacting the final aspect ratio. The model predicts a decrease of the growth inhibition effect by the wrong conformer with increasing temperature, likely due to faster equilibration between conformers and/or a decrease of the population of the wrong conformer, if of low energy, at elevated temperatures. Finally, the model predicts that solute surface integration becomes the rate-limiting mechanism for high solute integration activation energies, resulting in no impact of the WC on the overall crystal growth process.
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Fysikopoulos D, Benyahia B, Borsos A, Nagy Z, Rielly C. A framework for model reliability and estimability analysis of crystallization processes with multi-impurity multi-dimensional population balance models. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2018.09.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Graphical processing unit (GPU) acceleration for numerical solution of population balance models using high resolution finite volume algorithm. Comput Chem Eng 2016. [DOI: 10.1016/j.compchemeng.2016.03.023] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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