Triplet Network for One-Shot Raman Spectrum Recognition.

Raman spectroscopy is widely used for material detection due to its specificity, but its application to spectral recognition often faces limitations due to insufficient training data, unlike fields such as image recognition. Traditional machine learning or basic neural networks are commonly used, but they have limited ability to achieve high precision. We have proposed a novel approach that combines the Triplet network (TN) and K-nearest neighbor (KNN) techniques to address this issue.

An OPRM1-SNAP-tag/CMC method to directly identify drug components in sewage.

The scourge of drug addiction and abuse poses a significant challenge to society. Opioid drugs acting on μ-opioid receptor (OPRM1) make it one of the pivotal targets for drug addiction. In the past decade, sewage analysis has become a prevalent method of drug monitoring.

Toxicity and Metabolomic Dysfunction Invoked by Febrifugin, a Harmful Component of Edible Nut of .

fruit is a valuable and historically significant medicinal plant with anti-hypertension and anti-diabetes. We identified a toxic component, Febrifugin, from the edible part of the nut following zebrafish toxicity-guided isolation. Febrifugin is a mexicanolide-type limonoid compound.