| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1185110 | Food Chemistry | 2016 | 7 Pages |
•The reflection IR imaging approach was proposed to characterize thick plant samples.•The PHAC algorithm was proposed to create chemical images of multiple compounds.•Chemical morphology of Areca nut was studied by reflection NIR and ATR-MIR imaging.•Structures and distributions of primary compounds in Areca nut were revealed.
Fourier transform near-infrared (NIR) and mid-infrared (MIR) imaging techniques are essential tools to characterize the chemical morphology of plant. The transmission imaging mode is mostly used to obtain easy-to-interpret spectra with high signal-to-noise ratio. However, the native chemical compositions and physical structures of plant samples may be altered when they are microtomed for the transmission tests. For the direct characterization of thick plant samples, the combination of the reflection NIR imaging and the attenuated total reflection (ATR) MIR imaging is proposed in this research. First, the reflection NIR imaging method can explore the whole sample quickly to find out typical regions in small sizes. Next, each small typical region can be measured by the ATR-MIR imaging method to reveal the molecular structures and spatial distributions of compounds of interest. As an example, the chemical morphology of Areca nut section is characterized directly by the above approach.
