Hyperspectral imaging in the quality control of herbal medicines - the case of neurotoxic Japanese star anise.

摘要: Abstract Illicium verum (Chinese star anise) dried fruit is popularly used as a remedy to treat infant colic. However, instances of life-threatening adverse events in infants have been recorded after use, some cases due substitution and/or adulteration I. with anisatum (Japanese anise), which toxic. It evident that rapid and efficient quality control methods are utmost importance prevent re-occurrence such dire consequences. The potential short wave infrared (SWIR) hyperspectral imaging image analysis method distinguish between whole was investigated. Images were acquired using sisuChema SWIR pushbroom system spectral range 920–2514 nm. Principal component (PCA) applied the images reduce high dimensionality data, remove unwanted background visualise data. A classification model 4 principal components an R2X_cum 0.84 R2Y_cum 0.81 developed for 2 species partial least squares discriminant (PLS-DA). subsequently accurately predict identity (98.42%) (97.85%) introduced into external dataset. results show objective non-destructive can be successfully identify verum. In addition, this has detect fruits within large batches through upscaling conveyor belt system.