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In this study, we conducted a comprehensive comparative analysis of the physicochemical properties of natural musk (NM) and artificial musk (AM), focusing on their ultrastructure, volatile constituents, alcohol-soluble compounds, amino acid composition, inorganic element content and anti-inflammatory activity. Advanced analytical techniques such as scanning electron microscopy (SEM), gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), amino acid auto analyzer (AAA), and inductively coupled plasma-mass spectrometry (ICP-MS) were utilized to evaluate the differences in their physicochemical properties. The results of the study showed that SEM could distinguish NM and AM based on their surface morphology. GC-MS and LC-MS results identified 15 volatile compounds and 25 alcohol-soluble compounds in NM, whereas AM contained 8 volatile compounds and 22 alcohol-soluble compounds, indicating a more complex chemical constituent in NM. Amino acid analysis revealed that AM contained 787.1 mg/g total amino acids, significantly higher than the 156.4 mg/g found in NM. The determination of inorganic elements highlighted the differences in elemental content and identified the characteristic elements in both musks Specifically, K, Al, Ni, As, and Hg were characteristic of NM, while Na, Fe, Al, Co, Cu, Ag, Ba, and Pb were characteristic of AM. In addition, the results of in vitro anti-inflammatory tests showed the starting concentration of NM (0.025 mg/mL) and AM (0.05 mg/mL), indicating that NM and AM cannot be used interchangeably in clinical applications. This study provides a valuable reference for differentiating between NM and AM, providing insights into their utilization and development.
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http://dx.doi.org/10.1038/s41598-025-00968-6 | DOI Listing |
Appl Biochem Biotechnol
September 2025
School of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, 341000, China.
This study integrates machine learning (ML) and density functional theory (DFT) to systematically investigate the oxygen electrocatalytic activity of two-dimensional (2D) TM(HXBHYB) (HX/YB = HIB (hexaaminobenzene), HHB (hexahydroxybenzene), HTB (hexathiolbenzene), and HSB (hexaselenolbenzene)) metal-organic frameworks (MOFs). By coupling transition metals (TM) with the above ligands, stable 2D TM(HXBHYB)@MOF systems were constructed. The Random Forest Regression (RFR) model outperformed the others, revealing the intrinsic relationship between the physicochemical properties of 2D TM(HXBHYB)@MOF and their ORR/OER overpotentials.
View Article and Find Full Text PDFJ Food Sci
September 2025
Department of Food Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor Darul Ehsan, Malaysia.
Advanced intelligent systems are becoming a significant trend, especially in the classification of tropical fruits due to their unique flavor and taste. As one of the most popular tropical fruits worldwide, pineapple (Ananas comosus) has a great chemical composition and is high in nutritional value. A non-destructive method for the determination of pineapple varieties was developed, which utilized thermal imaging and deep learning techniques.
View Article and Find Full Text PDFDalton Trans
September 2025
Faculty of Chemistry, Nicolaus Copernicus University in Toruń, Gagarina 7, 87-100 Toruń, Poland.
This study comprehensively analyses two new ruthenium(III) complexes, [RuCl(Nic)][(CH)NH]DMF, 1, and [RuCl(3-HPA)][3-HHPA](EtOH), 2, (where Nic = nicotinic acid (vitamin B3), 3-HPA = anion of a 3-hydroxypicolinic acid), as potential antimicrobial agents, highlighting their physicochemical properties, nanoparticle formation, and cytotoxic activity. The complexes were fully characterised by a single crystal X-ray diffraction technique, Fourier-transform infrared, energy-dispersive X-ray, and electron paramagnetic resonance spectroscopies. The synthesis of micro- and nanoparticles (NPs) of these complexes was performed using the liquid anti-solvent crystallisation method.
View Article and Find Full Text PDFJ Biomed Mater Res B Appl Biomater
September 2025
Abyss Ingredients, Caudan, France.
The development of functional materials for osteoporosis is essential for effective bone remodeling. In this context, the extraction of biocompatible implantable biomaterials from bio-waste emerges as a valuable strategy, addressing both environmental challenges and promoting human health. The objective of this work was to evaluate the physicochemical properties of the added-value by-product biomaterial (SS-90), extracted from sardine scales (Sardina Pilchardus) and combined with chitosan (SS-90-CH).
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