28 research outputs found
Nondestructive classification of mung bean seeds by single kernel near-infrared spectroscopy
Near-infrared spectroscopy (NIRS) in the range 900–1700 nm was performed to develop a classifying model for dead seeds of mung bean using single kernel measurements. The use of the combination of transmission-absorption spectra and reflection-absorption spectra was determined to yield a better classification performance (87.88%) than the use of only transmission-absorption spectra (81.31%). The effect of the orientation of the mung bean with respect to the light source on its absorbance was investigated. The results showed that hilum-down orientation exhibited the highest absorbance compared to the hilum-up and hilum-parallel-to-ground orientations. We subsequently examined the spectral information related to the seed orientation by developing a classifying model for seed orientation. The wavelengths associated with classification based on seed orientation were obtained. Finally, we determined that the re-developed classifying model excluding the wavelengths related to the seed orientation afforded better accuracy (89.39%) than that using the entire wavelength range (87.88%)
Effects of Hydrogen Bond Intermolecular Interactions on the Crystal Spherulite of Poly(3-hydroxybutyrate) and Cellulose Acetate Butyrate Blends: Studied by FT-IR and FT-NIR Imaging Spectroscopy
The crystal melting behaviors of polyÂ(3-hydroxybutyrate)
(PHB) and cellulose acetate butyrate (CAB) blends were studied using
infrared (IR) and near-infrared (NIR) imaging, which provided information
about spherulite growth in dynamic blend systems. By analyzing the
changes in the IR and NIR imaging spectra in the regions of the first
and second overtones of the Cî—»O stretching vibrations of PHB
and CAB, the evolution of heterogeneous spherulite during the time-resolved
isothermal crystallization process was explored. Time-resolved IR
and NIR imaging and polarized microscopic studies detected the PHB
domains are able to separate from the PHB/CAB blends early in the
process. Principal component analysis (PCA) was used to classify the
distribution of the different morphologies of spherulite. The first
principal component suggests that the discrimination of the imaging
spectra relies largely upon the crystallinity, while the second principal
component indicates the variations in the amorphous portion of PHB,
the CAB contents, and the intermolecular hydrogen bonding of PHB and
CAB. The PC1–PC2 scores of different parts of the spherulite
suggest that the areas of low crystallinity in the blend spherulite
contain both PHB and CAB