Facile exfoliation and physicochemical characterization of biomass-based cellulose derived from Lantana aculeata leaves for sustainable environment
Researchers are focusing their efforts on developing high-performance bio-based composites due to increased interest in the production of natural fiber-based polymer composites utilizing novel cellulosic fillers. The primary goal of this study is to comprehend physicochemical and morphological characteristics, crystallinity, and thermal behavior of Lantana aculeata leaf cellulose (LALC) fillers. The extracted cellulose has some unique properties, such as excellent mechanical properties, lower density, bio-compatibility, heat resistance, and processability. Using X-ray diffraction, crystallinity index and size of Lantana aculeata leaf cellulose were calculated to be 73.7 and 7.42 nm, respectively. Furthermore, the morphology of the extracted LALC filler was examined using Scanning Electron Microscopy (SEM) and ImageJ software, and its average size was determined to be 69.21 nm. In addition, Fourier-transform infrared spectroscopy (FTIR) revealed that the extracted LALC contained no other non-cellulosic components due to alkali treatment, as they isolate cellulose and minimize the presence of non-cellulosic components. Furthermore, atomic force microscopy (AFM) revealed that the surface roughness of the cellulose is less than 4.630 nm, paving the way for an agricultural residue to be transformed into a desirable cellulosic filler material for developing polymeric composites. It can also withstand temperatures of maximum up to 247.23 °C, making it a viable substitute for more traditional sources. It can be used in a variety of polymer composite applications, including packaging materials, automotive parts, and building materials.
Graphical abstractCharacterization of biomass-based Cellulose derived from Lantana aculeata leave
» Reference: 10.1007/s13233-023-00197-8
» Publication Date: 06/09/2023
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737