000152058 001__ 152058
000152058 005__ 20250326144155.0
000152058 0247_ $$2doi$$a10.1016/j.cartre.2021.100084
000152058 0248_ $$2sideral$$a126852
000152058 037__ $$aART-2021-126852
000152058 041__ $$aeng
000152058 100__ $$0(orcid)0000-0002-0048-3036$$aCiria J.C.$$uUniversidad de Zaragoza
000152058 245__ $$aRational description and modelling of the separation of nanotubes from solid nanoparticles in centrifugation processes
000152058 260__ $$c2021
000152058 5060_ $$aAccess copy available to the general public$$fUnrestricted
000152058 5203_ $$aCentrifugation of liquid dispersions is a typical technique being employed to separate single-walled carbon nanotubes (SWCNTs) from big aggregates and impurities. Shining light on the underlying mechanism contributes to a more efficient preparation of corresponding suspensions or inks with improved properties. In this work, we model the sedimentation process by applying fundamental equations and a mathematical algorithm for the centrifugation routine, which takes into account centrifugation parameters and the geometry of nanoparticles. The model is fed with experimental data, namely, the centrifugation mass yield, the SWCNT purity index, metal contents, and nanoparticle sizes measured for pristine, thermally-oxidized, and chemically functionalized SWCNT samples. Particle aggregation, including SWCNT bundling, and changes due to physicochemical pretreatments are taken into account. It is shown that the complete experimental data set can be quantitatively well understood in terms of the particle sedimentation coefficient. The proposed model thus provides a rational concept to optimize centrifugation protocols for the separation of mixtures containing nanoparticles of different shapes.
000152058 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T03-20R$$9info:eu-repo/grantAgreement/ES/MICINN-AEI/PID2019-104272RB-C51/AEI/10.13039/501100011033
000152058 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000152058 594__ $$a0.7$$b2021
000152058 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000152058 700__ $$0(orcid)0000-0002-3134-8566$$aAnsón-Casaos A.
000152058 700__ $$0(orcid)0000-0002-8654-7386$$aBenito A.M.
000152058 700__ $$aMaser W.K.
000152058 7102_ $$15007$$2075$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ciencia Comput.Intelig.Ar
000152058 773__ $$g5 (2021), 100084 [9 pp.]$$tCarbon trends$$x2667-0569
000152058 8564_ $$s1413002$$uhttps://zaguan.unizar.es/record/152058/files/texto_completo.pdf$$yVersión publicada
000152058 8564_ $$s2832163$$uhttps://zaguan.unizar.es/record/152058/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000152058 909CO $$ooai:zaguan.unizar.es:152058$$particulos$$pdriver
000152058 951__ $$a2025-03-26-13:54:13
000152058 980__ $$aARTICLE