In recent years, various alternatives to fossil fuels have been developed. One of them involves the production of bio-oils from lignocellulosic-based biomass through pyrolysis. However, bio-oils present numerous heteroatoms and, in particular, oxygen atoms that need to be removed by an upgrading process. To optimize these processes, it is necessary to have good knowledge of the composition of the bio-oils at the molecular level. This work aims to establish the usefulness of laser desorption ionization (LDI) and matrix-assisted laser desorption/ionization (MALDI) techniques on lignocellulosic biomass-based bio-oils. Using a Fourier transform ion cyclotron mass spectrometer (FTICR MS), we showed that MALDI gives more information than LDI. The selectivity of a series of MALDI matrices was investigated, showing that some matrices are selective toward compound families and others ionize a wider range of compounds. In this study, nine proton-transfer matrices and three electron-transfer matrices were used and compared to results obtained in LDI. Dithranol, acetosyringone, and graphene oxide were the three promising matrices selected from all matrices, giving an overall characterization of oxygenated classes in a bio-oil. They allowed the ionization of many more species covering a wide range of polarity, aromaticity, and mass with a homogeneous relative intensity for all molecular classes such as lignin-derivative species, sugars, and lipid-derivative species.
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http://dx.doi.org/10.1021/jasms.3c00197 | DOI Listing |
Genome Biol Evol
January 2025
Department of Biological Sciences, University of Alberta, BS CW405 Edmonton, AB, T6G 2R3, Canada.
Fungi are well known for their ability to both produce and catabolize complex carbohydrates to acquire carbon, often in the most extreme of environments. Glucuronoxylomannan (GXM)-based gel matrices are widely produced by fungi in nature and though they are of key interest in medicine and pharmaceuticals, their biodegradation is poorly understood. Though some organisms, including other fungi, are adapted to life in and on GXM-like matrices in nature, they are almost entirely unstudied, and it is unknown if they are involved in matrix degradation.
View Article and Find Full Text PDFCurr Environ Health Rep
January 2025
School of Health Sciences, Purdue University, West-Lafayette, IN, 47906, USA.
Purpose Of Review: This review explores the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-ray Fluorescence (XRF) for quantifying metals and metalloids in biological matrices such as hair, nails, blood, bone, and tissue. It provides a comprehensive overview of these methodologies, detailing their technological limitations, application scopes, and practical considerations for selection in both laboratory and field settings. By examining traditional and novel aspects of each method, this review aims to guide researchers and clinical practitioners in choosing the most suitable analytical tool based on their specific needs for sensitivity, precision, speed, and sample preparation.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Physics, Hasanuddin University, Makassar 90245, Indonesia. Electronic address:
The increasing reliance on electronic devices has created a pressing demand for high-performance and sustainable electromagnetic interference shielding materials. While conventional materials, such as metals and carbon-based composites, offer excellent shielding capabilities, they are hindered by high costs, environmental concerns, and limitations in scalability. Polysaccharide-based materials, including cellulose, chitosan, and alginate, represent a promising alternative due to their biodegradability, renewability, and versatility.
View Article and Find Full Text PDFJ Colloid Interface Sci
January 2025
State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, No. 308 Ningxia Road, Qingdao 266071 PR China. Electronic address:
Luminescent solar concentrators (LSCs) are large scale sunlight collector and can be used for building-integrated photovoltaics (BIPV). Achieving high-performance LSCs requires fluorophores with broad absorption, high quantum yield and a large Stokes shift. Nevertheless, conventional high-efficiency LSCs typically rely on heavy metal-based quantum dots as fluorophores.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Management, Shanghai University of International Business and Economics, Shanghai 201620, China. Electronic address:
Multi-view learning aims on learning from the data represented by multiple distinct feature sets. Various multi-view support vector machine methods have been successfully applied to classification tasks. However, the existed methods often face the problems of long processing time or weak generalization on some complex datasets.
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