Residual melon by-products were explored for the first time as a bioresource of microcrystalline cellulose (MCC) obtention. Two alkaline extraction methods were employed, the traditional (4.5% NaOH, 2 h, 80 °C) and a thermo-alkaline in the autoclave (2% NaOH, 1 h, 100 °C), obtaining a yield of MCC ranging from 4.76 to 9.15% and 2.32 to 3.29%, respectively. The final MCCs were characterized for their chemical groups by Fourier-transform infrared spectroscopy (FTIR), crystallinity with X-ray diffraction, and morphology analyzed by scanning electron microscope (SEM). FTIR spectra showed that the traditional protocol allows for a more effective hemicellulose and lignin removal from the melon residues than the thermo-alkaline process. The degree of crystallinity of MCC ranged from 51.51 to 61.94% and 54.80 to 55.07% for the thermo-alkaline and traditional processes, respectively. The peaks detected in X-ray diffraction patterns indicated the presence of Type I cellulose. SEM analysis revealed microcrystals with rough surfaces and great porosity, which could remark their high-water absorption capacity and drug-carrier capacities. Thus, these findings could respond to the need to valorize industrial melon by-products as raw materials for MCC obtention with potential applications as biodegradable materials.
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http://dx.doi.org/10.3390/molecules29143285 | DOI Listing |
J Colloid Interface Sci
January 2025
School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China. Electronic address:
Currently, the development of high-performance adsorbents for the removal of nanoplastics in complex aquatic environments is challenging. In this study, a functionalized polyethyleneimine-phosphorylated microcrystalline cellulose/MoS (PEI-PMCC/MoS) hybrid aerogel was prepared and applied to remove carboxyl-modified polystyrene (PS-COOH) nanoplastics from the aqueous solution. Benefiting from the introduced functional groups and the expanded lamellar structure in MoS nanosheets as well as the highly porous 3D structure of the aerogel, PEI-PMCC/MoS demonstrated high efficiency in PS-COOH nanoplastics removal, achieving a 402.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Civil Engineering Department, Düzce University, Duzce, Turkey. Electronic address:
Int J Biol Macromol
January 2025
Forest Product Biotechnology/Bioenergy Group, Department of Wood Science, University of British Columbia, 2424 Main Mal, Vancouver V6T 1Z4, Canada. Electronic address:
Modern enzyme cocktails often include lytic polysaccharide monooxygenase (LPMO) as an accessory enzyme that enhances cellulose accessibility during hydrolysis. Although lignin is known to generally impede cellulose hydrolysis, previous research has demonstrated lignin's potential to act as a co-factor in boosting LPMO activity and that the negative impact of lignin limiting enzyme accessibility can be mitigated by sulfonated. When sulphonated lignin was added to microcrystalline cellulose (Avicel) the activity of the lytic polysaccharide monooxygenase (LPMO) was boosted, as determined when using a quartz crystal microbalance and dissipation monitoring (QCM-D).
View Article and Find Full Text PDFPolymers (Basel)
December 2024
Department of Biomedical Engineering, Pamukkale University, Denizli 20160, Türkiye.
Bio-nanomaterials are gaining increasing attention due to their renewable and eco-friendly characteristics. Among these, nanocrystalline cellulose (NCC) stands out as one of the most advanced materials for applications in food, healthcare, composite production, and beyond. In this study, NCC was successfully extracted from cotton-based textile waste using a combination of chemical and mechanical methods.
View Article and Find Full Text PDFPharm Res
January 2025
Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
Purpose: The purpose of this study is to present a correlative microscopy-tomography approach in conjunction with machine learning-based image segmentation techniques, with the goal of enabling quantitative structural and compositional elucidation of real-world pharmaceutical tablets.
Methods: Specifically, the approach involves three sequential steps: 1) user-oriented tablet constituent identification and characterization using correlative mosaic field-of-view SEM and energy dispersive X-ray spectroscopy techniques, 2) phase contrast synchrotron X-ray micro-computed tomography (SyncCT) characterization of a large, representative volume of the tablet, and 3) constituent segmentation and quantification of the imaging data through user-guided, iterative supervised machine learning and deep learning.
Results: This approach was implemented on a real-world tablet containing 15% API and multiple common excipients.
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