Shizhuang Weng

TL;DR: This general method was successfully applied to the detection of 3, 4-methylenedioxy methamphetamine (MDMA) in human urine and it is anticipated that this method will enable rapid, convenient detection of drugs on site for the police.

TL;DR: A 5 min strategy of cyclohexane (CYH) extraction for separating amphetamines from human urine and a spectral classification algorithm realizes the rapid and accurate recognition of weak Raman signals of Amphetamines at trace levels and also clearly distinguish various proportions of multiplex components.

TL;DR: The optimal hotspots created from dynamic surfaced-enhanced Raman spectroscopy (D-SERS) can be used for quantitative SERS measurements and the relative SERS intensity of target molecules demonstrated a linear response versus the negative logarithm of concentrations at the point of strongest SERS signals, which illustrates the great potential for quantitative analysis.

TL;DR: The deep learning networks provide feasible alternatives for the recognition and quantitation of SERS and perform better than the common machine learning methods.

TL;DR: Hyperspectral imaging was conducted to determine rice variety using a deep learning network with multiple features, namely, spectroscopy, texture and morphology and provides an accurate identification of rice variety and can be easily extended to the classification, attribution and grading of other agricultural products.