JOURNAL ARTICLE

Acetylation of Cellulose Nanocrystals Extracted from Cotton for Drilling Fluid Application: Structural and Thermal Characterization.

  • Published In: International Journal of Nanoscience, 2023, v. 22, n. 5. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Benchikh, Lilia; Yazid, Aitferhat; Maya, Kebaili; Hichem, Chorfi; Ilyes, Abacha; Melia, Guessoum; Abdelhafid, Merzougui; Mohamed, Benia Hadj; Yves, Grohens 3 of 3

Abstract

In petroleum exploration, cellulose derivatives such as carboxymethylcellulose (CMC) are frequently used in drilling, cementing and fracturing fluids. However, under extreme drilling conditions, these additives have limited performance. In this regard, cellulose nanocrystals particles (CNCs) which are also derived from cellulose material are a suitable candidate due to their shear thinning rheology and thixotropy properties, even at low concentrations, among so many properties thanks to their crystalline structure and their nanometric dimensions. In this work, hydrolyzed fibers from industrial cotton are acetylated using acetic anhydride and sulfuric acid as catalysts, with the aim to modify surface properties of the obtained CNCs without changing their fiber structure and morphology. FTIR analysis pointed out the acetylation success of the obtained nanocrystals whose dimensions were found to be unaltered by the modification process. SEM images of cotton nanocrystal indicate that CNCc surface modification preserves the nanoscale dimensions of the nanoparticles. Also, TGA analysis showed thermal stability for the acetylated CNCc. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Nanoscience. 2023/10, Vol. 22, Issue 5, p1
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2023
  • ISSN:0219-581X
  • DOI:10.1142/S0219581X23500369
  • Accession Number:172917022
  • Copyright Statement:Copyright of International Journal of Nanoscience is the property of World Scientific Publishing Company 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.)

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