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Differential mobility spectrometry (DMS) separates ions based on mobility differences between high and low electric field conditions. To enhance resolution, solvents such as water and acetonitrile are often used to modify the collision environment and take advantage of differing dynamic clustering behavior between analytes that coelute in hard-sphere environments (., N). When binary solvent mixtures are used to modify the DMS environment, one solvent can have a dominant influence over the other with respect to ion trajectories. For example, for quinoline derivatives, a 9:1 water:acetonitrile solvent mixture exhibited identical behavior to an environment containing only acetonitrile as a modifier. It was hypothesized that this effect arises due to the significantly different binding strengths of the two solvents. Here, we utilize a first-principles model of DMS to study analytes in single and binary solvent mixtures and explore the effects governing the dominance of one solvent over the other. Computed DMS dispersion curves of quinoline derivatives are in excellent agreement with those measured experimentally. For mixed-modifier environments, the predicted cluster populations show a clear preferential solvation of ions with the stronger binding solvent. The influence of ion-solvent binding energies, solvent concentration, and solvent molecule size is discussed in the context of the observed DMS behavior. This work can guide the usage of binary solvent mixtures for improving ion separations in cases where compounds coelute in pure N and in single-solvent modifier environments. Moreover, our results indicate that binary solvent mixtures can be used to create a relative scale for solvent binding energies.
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http://dx.doi.org/10.1021/jasms.3c00117 | DOI Listing |
Int J Biol Macromol
September 2025
Department of Computational Biology, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, India; Infosys Centre for Artificial Intelligence, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, In
Understanding the structural and functional diversity of toxin proteins is critical for elucidating macromolecular behavior, mechanistic variability, and structure-driven bioactivity. Traditional approaches have primarily focused on binary toxicity prediction, offering limited resolution into distinct modes of action of toxins. Here, we present MultiTox, an ensemble stacking framework for the classification of toxin proteins based on their molecular mode of action: neurotoxins, cytotoxins, hemotoxins, and enterotoxins.
View Article and Find Full Text PDFNanomicro Lett
September 2025
Nanomaterials & System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea.
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring, clinical diagnosis, and robotic applications. Nevertheless, it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility, adhesion, self-healing, and environmental robustness with excellent sensing metrics. Herein, we report a multifunctional, anti-freezing, self-adhesive, and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes (CoN CNT) embedded in a polyvinyl alcohol-gelatin (PVA/GLE) matrix.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
College of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China. Electronic address:
Conductive hydrogels have emerged as promising materials for flexible wearable electronics; however, their facile fabrication remains challenging. This study presents an antifreeze, antibacterial, and conductive hydrogel constructed from biomacromolecules sodium carboxymethylcellulose (CMCNa) and polyvinyl alcohol (PVA). The hydrogel was synthesized via a simple one-pot method in an ethylene glycol/water (EG/H₂O) binary solvent system, incorporating lithium chloride (LiCl) and clove essential oil (CEO), followed by a single freeze-thaw cycle.
View Article and Find Full Text PDFSmall Methods
September 2025
Key Laboratory of Advanced Materials Chemistry and Devices (AMCDLab) of the Department of Education of Inner Mongolia Autonomous Region, College of Chemistry and Environment Science, Inner Mongolia Normal University, Hohhot, 010022, China.
Photovoltaic performance of bulkheterojunction (BHJ)-based organic solar cells is critically governed by morphologies of donor:acceptor blends as light-harvesting layers. However, ideal morphological control remains challenging due to the systems' complexity. In this work, a sequential dual-heating (DH) strategy is presented to precisely tailor the BHJ morphology in a D18-Cl:Y6 system, achieving a remarkable 19.
View Article and Find Full Text PDFACS Omega
August 2025
Department of Chemistry, Istanbul Technical University, Maslak, Istanbul 34469, Turkey.
Organohydrogels (OHGs) are a class of soft materials with a biphasic structure consisting of hydrophilic and hydrophobic domains that interact with both water and organic solvents. This gives them unique properties and various applications, e.g.
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