Researchers present printable, low-cost sensor technologies using smart materials to enable real-time plant health monitoring and advance smart agriculture solutions.

This study applies UMAP and k-means clustering to LA-ICP-MS imaging, enabling phase-resolved normalization and significantly improving quantitative accuracy in complex geological matrices.

This study develops banana pseudostem activated carbon with ultrahigh surface area and optimized phosphate adsorption using multivariate experimental design.

This study uses thermogravimetric analysis to investigate Co-based catalyst effects on alkali lignin pyrolysis, revealing reduced activation energy and accelerated reaction kinetics.

This study uses in situ Py-GC/MS with complementary analyses to track stage-specific volatile evolution and reaction pathways during lignin slow pyrolysis.

Researchers at IOCB Prague have developed new fluorogenic labels that deliver high-contrast fluorescence microscopy, enabling precise visualization of cellular processes without background noise.

Structure-guided libraries and machine learning enable faster discovery of active nucleic acid sequences beyond random mutagenesis.

This study introduces a biochemometric 2D NMR heterocovariance approach to correlate spectral features with bioactivity, enabling targeted discovery of bioactive compounds in complex extracts.

This study combines metabolomics, structural analysis, and public omics data to uncover the extensive diversity and global distribution of kurstakin lipopeptides linked to Bacillus biocontrol activity.

This study investigates the synthesis and curing of a furan-based glycidyl amine epoxy resin, revealing improved stiffness and Tg through α-chlorohydrin-driven cross-link formation.