Optimized size sorting of MXene particles via centrifugal sedimentation: a practical approach using an empirical model and image processing technique

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dc.authoridEskizeybek, Volkan / 0000-0002-5373-0379
dc.contributor.authorOnat, Buket
dc.contributor.authorHaspulat Taymaz, Bircan
dc.contributor.authorEskizeybek, Volkan
dc.contributor.authorKamış, Handan
dc.date.accessioned2025-05-29T02:57:46Z
dc.date.available2025-05-29T02:57:46Z
dc.date.issued2025
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractControlling the physical, mechanical, and electrochemical properties of MXene-based materials is crucial for their effectiveness in macroscale applications and is closely tied to the particle size distribution of MXene. This study aimed to accomplish dimensional control and sorting of MXene colloids with different particle sizes using centrifugal sedimentation based on an empirical model. Centrifuge time and rotating speed were identified as key parameters and optimized using a mathematical formula generated from the model, considering particle forces in the solution. A novel image processing technique aimed at ease of use was devised to evaluate the separation process, assuring the audience of its usability. The separation efficiencies were measured individually at rotating speeds ranging from 2900 to 6000 rpm. The optimal experimental settings differed between the supernatant and sediment fractions. The maximum separation efficiency was reached at 86% for the supernatant at 3500 rpm for 49 min and 43% for the sediment at 4200 rpm for 34 min, suggesting that supernatant-based separation is more efficient than sediment-based techniques. This study offers a valuable guideline for separating the sizes of 2D materials. Image processing offers scalable particle size measurement, which improves material property control for a variety of applications.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) under TUBITAK 1001-The Scientific and Technological Research Projects Funding Program [221M523]; Canakkale Onsekiz Mart University Scientific Research Projects [FBA-2024-4644]
dc.description.sponsorshipThis research is financially supported by the Scientific and Technological Research Council of Turkey (TUBITAK) under TUBITAK 1001-The Scientific and Technological Research Projects Funding Program [Grant no: 221M523] and Canakkale Onsekiz Mart University Scientific Research Projects [Project No: FBA-2024-4644].
dc.identifier.doi10.1080/02726351.2025.2486605
dc.identifier.issn0272-6351
dc.identifier.issn1548-0046
dc.identifier.scopus2-s2.0-105002608377
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1080/02726351.2025.2486605
dc.identifier.urihttps://hdl.handle.net/20.500.12428/30170
dc.identifier.wosWOS:001461323800001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Inc
dc.relation.ispartofParticulate Science and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250529
dc.subjectMXene
dc.subjectparticle size
dc.subjectcentrifugation
dc.subjectimage processing
dc.subjectsize separation
dc.titleOptimized size sorting of MXene particles via centrifugal sedimentation: a practical approach using an empirical model and image processing technique
dc.typeArticle

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