Tetracycline antibiotics, valued for potent antibacterial effects, are widely used in livestock but raise concerns over unsafe residues in milk. In this study, a surface-enhanced Raman spectroscopy (SERS) method based on an amino-functionalized coval...
Langmuir : the ACS journal of surfaces and colloids
Oct 8, 2025
Dopamine (DA) plays a pivotal role in modulating various physiological systems. Therefore, the ultrasensitive detection of DA holds substantial importance for the diagnosis and treatment of neurological disorders. Herein, a deep-learning-assisted sma...
The development of low-power, sensitive, and selective gas sensors capable of detecting and differentiating toxic gases is pivotal for safety and environmental monitoring. This paper describes a chemiresistive sensor array comprising a series of thre...
Gas sensing is vital for environmental monitoring, safety, and healthcare. This review highlights the role of noncovalent interactions, hydrogen bonding, π-π stacking, and electrostatic forces in enhancing the sensitivity and selectivity of metal-coo...
Journal of chemical information and modeling
Oct 1, 2025
The expansion of large-scale materials databases has facilitated the development of graph-based representations, encoding structural and functional similarities as edges in data-driven networks. These enable machine learning models to leverage both l...
Journal of chemical information and modeling
Sep 29, 2025
Hydrogen is a clean and high-energy fuel, yet its safe and efficient storage remains a key obstacle to widespread adoption. Metal-organic frameworks (MOFs), with their high surface area and tunable porosity, have emerged as promising candidates for s...
The development of sensors for monitoring breath acetone, a key biomarker for ketosis in diabetes mellitus, represents a critical frontier in medical diagnostics, promising a painless alternative to invasive blood tests. This review provides a compre...
Journal of chemical information and modeling
Aug 28, 2025
The discovery of Metal-Organic Frameworks (MOFs) with application-specific properties remains a central challenge in materials chemistry, owing to the immense size and complexity of their structural design space. Conventional computational screening ...
The unique structures and complex characteristics of Metal-organic frame (MOFs) obscure understanding the processes and mechanisms of heavy metal (HM) removal. This study established an interpretable machine learning (ML) framework predicting adsorpt...
High-throughput screening of deep eutectic solvents (DESs) was performed using artificial intelligence/quantum mechanical models. Ni-amorphous metal-organic frameworks (aMOFs) was synthesized through amine-DES aqueous solution. The target-specific DE...
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