Retention of hydrophilic compounds on porous graphitic carbon (PGC) is afforded by polar interactions with induced dipoles within this polarizable stationary phase. These interactions depend on the redox state of PGC, which can be influenced by application of an electrical field or by chemical means. We explored the impact of oxidizing and reducing agents on the retention of fluorescence labeled neutral oligosaccharides. Malto-oligosaccharides were employed as simple model system. Subsequently, the effects on the retention of glycans typical for immunoglobulin G (IgG) antibodies were investigated. Chemical oxidation of the PGC surface increased the retention of all analytes tested. Selectivities were significantly altered by the redox treatment, emphasizing the need for controlling the redox state of PGC to achieve reproducible conditions. Furthermore a column pre-conditioning protocol is presented, which allowed for reproducible chromatography of neutral IgG glycans.
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http://dx.doi.org/10.1016/j.chroma.2010.06.069 | DOI Listing |
Int J Biol Macromol
January 2025
Institute of Biophysics, The Czech Academy of Sciences, v.v.i., Královopolská 135, 61200 Brno, Czech Republic. Electronic address:
Galectin-1 (Gal-1) displays unique sensitivity to oxidative inactivation which appears critical in regulating its spatial and temporal activity. The two physicochemical states, i.e.
View Article and Find Full Text PDFTalanta
December 2024
NanoBiosensors and Biodevices Lab, School of Medical Science and Technology, Indian Institute of Technology Kharagpur, West Bengal, 721302, India. Electronic address:
This work presents a robust strategy for quantifying overlapping electrochemical signatures originating from complex mixtures and real human plasma samples using nickel-based electrochemical sensors and machine learning (ML). This strategy enables the detection of a panel of analytes without being limited by the selectivity of the transducer material and leaving accommodation of interference analysis to ML models. Here, we fabricated a non-enzymatic electrochemical sensor for L-lactic acid detection in complex mixtures and human plasma samples using nickel oxide (NiO) nanoparticle-modified glassy carbon electrodes (GCE).
View Article and Find Full Text PDFWater Res
December 2024
Hubei Key Laboratory of Yangtze River Basin Environmental Aquatic Science, School of Environmental Studies & State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074, Wuhan, PR China. Electronic address:
Steep redox gradients and diverse microbial communities in the anaerobic hyporheic zone create complex pathways for the degradation of herbicides, often linked to various terminal electron-accepting processes (TEAPs). Identifying the degradation pathways and their controlling factors under various TEAPs is of great significance for understanding mechanisms of water purification in the hyporheic zone. However, current research on herbicides in this area remains insufficient.
View Article and Find Full Text PDFChemSusChem
January 2025
Washington State University, School of Mechanical and Materials Engineering, PO Box 642920, 99164-2920, Pullman, UNITED STATES OF AMERICA.
Advancement of sulfur (S) cathode of lithium-sulfur (Li-S) batteries is hindered by issues such as insulating nature of sulfur, sluggish redox kinetics, polysulfide dissolution and shuttling. To address these issues, we initiate a study on applying an important amino acid of protein, arginine (Arg), as a functional additive into S cathodes. Based on our simulation study, the positively charged Arg facilitates strong interactions with polysulfides.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China.
This study reconstructs the environmental history of Xincun Lagoon over the past 167 years using sediment core XCW, employing Cu/Zn as a proxy for redox changes. Time-series analysis of Cu/Zn ratios reveals a significant decline (linear regression slope = -0.00082, p < 0.
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