📄 Category

chemistry

1013 papers

📄 chemistry

Fabrication of a colorimetric ammonia nitrogen indicator using ube peel-derived anthocyanins in a gellan gum/carboxymethyl cellulose matrix

This study develops a sustainable, porous colorimetric indicator for ammonia nitrogen monitoring by encapsulating ube peel-derived anthocyanins in an optimized gellan gum and carboxymethyl cellulose matrix crosslinked with calcium chloride, which demonstrated effective encapsulation, structural stability, and a strong correlation (R² = 0.9058) for ammonia detection.

Josh Xavier Fiscal, Carlo Antonio Gomorera, Vaughn Derek Ligan, Cynthia Madrazo, John Ray Estrellado2026-08-28
📄 chemistry

Design of A Novel Phosphohydrolase Mimic Enzyme And Its Enhanced Phosphohydrolase Activity for Rapid and Colorimetric Detection of Organophosphorus Pesticides

Inspired by structural biomimicry, researchers developed a highly active CeO₂@ZIF-90 nanorod nanozyme that enables rapid, dual-mode colorimetric and electrochemical detection of organophosphorus pesticides with high sensitivity, selectivity, and successful application in real food samples.

Xiaoyue Yue, Yuewen Peng, Qianyi Huang, Yanhong Bai2026-08-28
📄 chemistry

Optimized Microwave-Assisted Fenton Oxidation for Simultaneous Reduction of COD, BOD, and Emerging Organic Pollutants in Mixed Industrial Wastewater

This study demonstrates that an optimized microwave-assisted Fenton oxidation process effectively reduces chemical and biochemical oxygen demand while eliminating or significantly degrading emerging organic pollutants in mixed industrial wastewater from Nigerian pharmaceutical and clinical facilities, offering a viable pre-treatment solution for resource-limited settings.

Mathew Gideon2026-08-28
📄 chemistry

Ultra-high hydrostatic pressure combined with tea saponin micelles enhances naringin extraction from pomelo peel

This study demonstrates that combining ultra-high hydrostatic pressure with tea saponin micelles significantly enhances naringin extraction from pomelo peel by simultaneously disrupting the tissue matrix and solubilizing the flavonoid, achieving superior yield and energy efficiency compared to conventional methods.

Wen Zhu, Xiaoxue Nie, Cuiman Tang, Zhicun Liu, Yankun Liu, Shuo Yang, Chaofan Sun, Xiuhua Zhao2026-08-28
📄 chemistry

Enhanced Cd(II) ion Chemosensing by a Curcumin Extract -Silver nanoparticle Nanocomposite: Synthesis, Optimization and Characterization

This study presents the synthesis and characterization of an eco-friendly, curcumin-functionalized silver nanoparticle nanocomposite that serves as a sensitive and selective chemosensor for detecting toxic Cadmium (II) ions in water and industrial effluent with a detection limit of 0.0013 ppm.

Muritala Adeniyi Olusola, Olufemi Stephen Odulaja, Tawakalt Adeola Olusola, Emmanuel Damilare Olatunji, Taofeeq Folawiwo (…)2026-08-28
📄 chemistry

Class-Specific HPTLC Fingerprinting of Triterpenoid Saponins and Protoberberine Alkaloids: A Comparative Standardization Model for Gymnema sylvestre and Berberis aristata Hydroalcoholic Extracts

This study establishes reproducible, class-specific HPTLC fingerprinting methods for the qualitative standardization of hydroalcoholic extracts of *Gymnema sylvestre* and *Berberis aristata*, successfully resolving and identifying key triterpenoid saponins and protoberberine alkaloids to ensure batch-to-batch identity confirmation for these co-formulated antihyperglycemic herbs.

Shivaprasad Hudeda, Spandana Malatesh2026-08-28
📄 chemistry

A novel chloride and dicyanamide bridged multinuclear copper(I/II) complex derived from N’-(pyridin-2-ylmethylene)benzohydrazide: Crystal structure and antibacterial activity

A novel mixed-valence copper(I/II) complex featuring a unique one-dimensional framework bridged by chloride and dicyanamide ligands was synthesized, structurally characterized, and demonstrated enhanced antibacterial activity against bacterial strains compared to its free hydrazone ligand.

Zhong-Lu You, Zheng-Wei Wu, Hao-Jie Yuan, Hao-Dong Zhang, Jia-Yan Dai, Lv-Shan Zhou2026-08-28
📄 chemistry

Identification of Zeolite Frameworks from limited X-ray Diffraction patterns using a machine learning approach

This paper presents a physics-informed machine learning framework that successfully identifies zeolite frameworks from limited and imperfect experimental X-ray diffraction patterns by combining realistic data augmentation with multi-scale convolutional neural networks, thereby bridging the simulation-to-experiment gap and enabling automated analysis in resource-limited research environments.

Michael Yeboah, Linus Kweku Labik, Athanasius Christopher Kojo Amuzu, Steven Yirenkyi, Yakubu Seidu Bubaki, Mohammed Abd (…)2026-08-28