Fractional Factorial Design to Evaluate the Synthesis and Electrochemical Transfer Parameters of h-BN Coatings.
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| Title: | Fractional Factorial Design to Evaluate the Synthesis and Electrochemical Transfer Parameters of h-BN Coatings. |
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| Authors: | Figueroa, Helen1,2 (AUTHOR) cristian.ramirez@usm.cl, Aristizabal, Juliet1,3 (AUTHOR) juliet.aristizabal@usm.cl, Reinoso-Guerra, Elías1,4 (AUTHOR) elias.reinoso.12@sansano.usm.cl, Arce, Bárbara1 (AUTHOR) barbara.arce.lopez@gmail.com, Vargas-Straube, María José1 (AUTHOR) maru.vs@gmail.com, Gentil, Dana1 (AUTHOR) dana.gentil@usm.cl, Ramírez, Cristian2 (AUTHOR), Cordero, José5 (AUTHOR) jocorderf@gmail.com, Barrera, Nelson P.5 (AUTHOR) nbarrera@bio.puc.cl, Parra, Carolina1,4 (AUTHOR) carolina.parra@usm.cl |
| Source: | Nanomaterials (2079-4991). Dec2023, Vol. 13 Issue 23, p2992. 22p. |
| Subjects: | Factorials, Factorial experiment designs, Surface coatings, Boron nitride, Mass media influence, Surface roughness |
| Abstract: | In this study, we present a fractional factorial design approach for exploring the effects and interactions of key synthesis and electrochemical transfer parameters on the roughness and wettability of hexagonal boron nitride (h-BN) coatings, due to their essential role in biofilm formation. The studied parameters for the synthesis process include precursor mass, growth time, and substrate conditioning, whereas for the transfer process, applied voltage and aqueous medium concentration were studied. Through this polynomial model, we confirmed the strong influence of precursor mass and medium concentration parameters on h-BN surface roughness and its resulting antibiofilm properties. [ABSTRACT FROM AUTHOR] |
| Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 174113496 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fractional Factorial Design to Evaluate the Synthesis and Electrochemical Transfer Parameters of h-BN Coatings. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Figueroa%2C+Helen%22">Figueroa, Helen</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> cristian.ramirez@usm.cl</i><br /><searchLink fieldCode="AR" term="%22Aristizabal%2C+Juliet%22">Aristizabal, Juliet</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> juliet.aristizabal@usm.cl</i><br /><searchLink fieldCode="AR" term="%22Reinoso-Guerra%2C+Elías%22">Reinoso-Guerra, Elías</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> elias.reinoso.12@sansano.usm.cl</i><br /><searchLink fieldCode="AR" term="%22Arce%2C+Bárbara%22">Arce, Bárbara</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> barbara.arce.lopez@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Vargas-Straube%2C+María+José%22">Vargas-Straube, María José</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> maru.vs@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Gentil%2C+Dana%22">Gentil, Dana</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dana.gentil@usm.cl</i><br /><searchLink fieldCode="AR" term="%22Ramírez%2C+Cristian%22">Ramírez, Cristian</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cordero%2C+José%22">Cordero, José</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> jocorderf@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Barrera%2C+Nelson+P%2E%22">Barrera, Nelson P.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> nbarrera@bio.puc.cl</i><br /><searchLink fieldCode="AR" term="%22Parra%2C+Carolina%22">Parra, Carolina</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> carolina.parra@usm.cl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nanomaterials+%282079-4991%29%22">Nanomaterials (2079-4991)</searchLink>. Dec2023, Vol. 13 Issue 23, p2992. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Factorials%22">Factorials</searchLink><br /><searchLink fieldCode="DE" term="%22Factorial+experiment+designs%22">Factorial experiment designs</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+coatings%22">Surface coatings</searchLink><br /><searchLink fieldCode="DE" term="%22Boron+nitride%22">Boron nitride</searchLink><br /><searchLink fieldCode="DE" term="%22Mass+media+influence%22">Mass media influence</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+roughness%22">Surface roughness</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this study, we present a fractional factorial design approach for exploring the effects and interactions of key synthesis and electrochemical transfer parameters on the roughness and wettability of hexagonal boron nitride (h-BN) coatings, due to their essential role in biofilm formation. The studied parameters for the synthesis process include precursor mass, growth time, and substrate conditioning, whereas for the transfer process, applied voltage and aqueous medium concentration were studied. Through this polynomial model, we confirmed the strong influence of precursor mass and medium concentration parameters on h-BN surface roughness and its resulting antibiofilm properties. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/nano13232992 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 2992 Subjects: – SubjectFull: Factorials Type: general – SubjectFull: Factorial experiment designs Type: general – SubjectFull: Surface coatings Type: general – SubjectFull: Boron nitride Type: general – SubjectFull: Mass media influence Type: general – SubjectFull: Surface roughness Type: general Titles: – TitleFull: Fractional Factorial Design to Evaluate the Synthesis and Electrochemical Transfer Parameters of h-BN Coatings. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Figueroa, Helen – PersonEntity: Name: NameFull: Aristizabal, Juliet – PersonEntity: Name: NameFull: Reinoso-Guerra, Elías – PersonEntity: Name: NameFull: Arce, Bárbara – PersonEntity: Name: NameFull: Vargas-Straube, María José – PersonEntity: Name: NameFull: Gentil, Dana – PersonEntity: Name: NameFull: Ramírez, Cristian – PersonEntity: Name: NameFull: Cordero, José – PersonEntity: Name: NameFull: Barrera, Nelson P. – PersonEntity: Name: NameFull: Parra, Carolina IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 20794991 Numbering: – Type: volume Value: 13 – Type: issue Value: 23 Titles: – TitleFull: Nanomaterials (2079-4991) Type: main |
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