r_char

Accurately identifying gemstones is important for authentication and quality control. In this study, we developed an artificial intelligence method that uses self-organizing maps (SOMs) combined with Monte Carlo testing to classify gemstones from their Raman vibrational patterns. The model was optimized for map size and training cycles, and its reliability was evaluated through repeated random …

One class self-organizing maps with Monte Carlo permutation for gemstone classification using Raman spectroscopy Read More »

Micro-solid phase extraction (μSPE) has been applied for sample preparation steps in trace analysis. The development of μSPE is trending toward miniaturization through a reduction in device dimensions, a decrease in sorbent amounts, and/or an incorporation of micro-sized or nano-sized materials. Various materials, both synthetic and organic in source, have been used as sorbents. Biochar, …

Laser-induced biochar as a miniaturized sorbent for μSPE of organophosphorus pesticides from environmental waters Read More »