📄 chemistry

A mechanically embodied, double-network hydrogel adaptive memory element for reprogrammable actuation

This paper presents a light-driven double-network hydrogel actuator that integrates rapid photothermal bending with non-volatile, optically rewritable mechanical memory, enabling reprogrammable, history-dependent soft actuation through coupled thermal and viscoelastic relaxation timescales.

Rafael Moreno Tortolero, Jack Stoney, Ted Garry, Rohit Varshney, Charles de Kergariou, James Armstrong, Sean Davis, Fabr (…)2026-08-27
📄 chemistry

Evaluation and Utilization of Iron Oxide Nanoparticles Impregnated Onto Polyurethane for the Removal of Contaminants From River Wudil

This study demonstrates that a sustainable polyurethane foam composite impregnated with iron oxide nanoparticles and synthesized using plantain peel waste effectively removes turbidity, organic pollutants, and heavy metals from River Wudil through spontaneous physical adsorption, offering a cheap, regenerable, and eco-friendly solution for wastewater treatment.

Paul Ocheje Ameh2026-08-27
📄 chemistry

Preparation and Properties Research of Cellulose Nanocrystals from Flax Straw

This study demonstrates the feasibility of producing high-crystallinity cellulose nanocrystals from flax straw through a multi-step process involving alkali treatment, bleaching, and ultrasonic-assisted acid hydrolysis, revealing that specific acid types and durations significantly influence the resulting nanomaterials' morphology, thermal stability, and dispersion properties.

jieying chen, kailun cao, dawei shi, zhichao song2026-08-27
📄 chemistry

Atmospheric UV synthesis of aldehydes and oxidant from CO2, CO and H2O initiating the first ancestral metabolism

This study demonstrates that atmospheric UV irradiation of CO₂, CO, and H₂O on the early Earth or Mars can spontaneously generate a self-sustaining "Primitive Respiration Cycle" of aldehydes, organic acids, and amino acids, offering a plausible non-enzymatic pathway bridging geochemistry and the emergence of ancestral metabolism.

Yuichiro Ueno, Xiaofeng Zang, Yuta Asakura, Andy Fong, Waka Kawade, Kenta Isoda, Tetsuya Yokoyama, Norio Kitadai2026-08-27
📄 chemistry

Mechanism of In-depth Correlation between Soil Nitrogen, Physico-chemical Properties and Cr Storage-Transformation Process

This study utilizes an optimized carbon quantum dot fluorescence method to demonstrate that soil nitrogen, pH, ferrous iron, and humic substances collectively promote the reduction and passivation of toxic hexavalent chromium (Cr(VI)) to trivalent chromium (Cr(III)), thereby reducing its mobility and bioactivity in agricultural soils.

Shuyu Liu, Yilei Chen, Ruiying Du, Lu Ni2026-08-26
📄 chemistry

Dual-Function Metal–Organic Framework for Enhanced Fuel Efficiency in Composite Solid Propellants: Metal-Coordinated Catalytic Sites and Linker-Derived Polymeric Additive in Ammonium Perchlorate Decomposition 

This study demonstrates that dual-function metal–organic frameworks (MOFs), particularly those with single-linker structures and high nitrogen content like Co-MOF-I, significantly enhance ammonium perchlorate decomposition and fuel efficiency in composite solid propellants by lowering decomposition temperatures and increasing combustion pressure.

Muhammad Amjad Majeed, Farhan Ahmad, Jie Wang, Aifeng Jiang, Jianyong Xu, Wenchao Zhang, Yanchun Li2026-08-26
📄 chemistry

AQbD-Based Development and Green Analytical Assessment of a Stability-Indicating HPTLC Method for Bilastine, Dextromethorphan HBr, and Phenylephrine HCl in Pharmaceutical Formulations

This study presents the development and validation of a robust, stability-indicating, and eco-friendly HPTLC method for the simultaneous quantification of Bilastine, Dextromethorphan HBr, and Phenylephrine HCl in pharmaceutical formulations, utilizing an AQbD approach and achieving a greenness score of 0.62 via AGREE software.

Pallavi Badhan, Bhavin Varia2026-08-26
📄 chemistry

Evaluating the Impact of Tokenization Schemes on the Performance of Chemical Language Models

This study presents the first systematic evaluation of nine SMILES tokenization strategies across three model scales, revealing that while rule-based tokenizers excel in generative validity, corpus-based and hybrid approaches outperform in downstream property prediction, ultimately recommending a hybrid strategy for generalizable chemical language models.

Naafey Aamer, Arooj Zaib, Faiza Hassan, Tayyaba Asif, Sebastian Vollmer, Andreas Dengel, Muhammad Nabeel Asim2026-08-26