21 research outputs found
Near infrared reflectance spectroscopy for the determination of free gossypol in cottonseed meal
Gossypol is a toxic polyphenolic compound produced by the pigment glands of the cotton
plant. The free gossypol content of cottonseed meal (CSM) is commonly determined by the
American Oil Chemists’ Society (AOCS) wet chemistry method. The AOCS method, however,
laboratory-intensive, time-consuming, and therefore, not practical for quick field analyses.
To determine if the free gossypol content of CSM could be predicted by near infrared reflectance
spectroscopy (NIRS), CSM samples were collected from all over the world. All CSM samples
were ground and a portion of each analyzed for free gossypol by the AOCS procedure (reference
data) and by NIRS (reflectance data). Both reflectance and reference data were combined in
calibration. The coefficient of determination (r2) and standard error of prediction (SEP) were
used to assess the calibration accuracy. The r2 was 0.728, and the SEP was 0.034 for the
initial calibration that included samples from all over the world. However, the r2 and SEP
improved to 0.921 and 0.014, respectively, if the calibration was made using CSM samples
only from the United States. These results indicate that a general prediction equation can be
developed to predict the free gossypol content of CSM by NIRS. From a practical standpoint,
NIRS technology provides a method for quickly assessing whether a particular batch of CSM
has a free gossypol content low enough to be suitable for use in poultry diets.This research was supported in part by grant 05-635GA from the Georgian Cotton Commission, Perry, G
OBSERVATION OF DOUBLE-GAP-EDGE ANDREEV REFLECTION AT SI/NB INTERFACES BY POINT-CONTACT SPECTROSCOPY
OBSERVATION OF DOUBLE-GAP-EDGE ANDREEV REFLECTION AT SI/NB INTERFACES BY POINT-CONTACT SPECTROSCOPY
Andreev reflection point-contact spectroscopy is performed on a bilayer consisting of 50-nm degenerately doped Si backed with Nb. Due to the short mean free path both injection into and transport across the Si layer are diffusive, in contrast to the ballistic conditions prevailing in clean metal layers. Nevertheless a large Andreev signal is observed in the point-contact characteristics, not reduced by elastic scattering in the Si layer or by interface scattering, but only limited by the transmission coefficient of the metal-semiconductor point contact. Two peaks in the Andreev reflection probability are visible, marking the values of the superconducting energy gap at the interface on the Nb and Si sides. This interpretation is supported by a method of solving the Bogolubov equations analytically using a simplified expression for the variation of the order parameter close to the interface. This observation enables a comparison with theoretical predictions of the gap discontinuity in the proximity effect. It is found that the widely used de Gennes model does not agree with the experimental data
OBSERVATION OF DOUBLE-GAP-EDGE ANDREEV REFLECTION AT SI/NB INTERFACES BY POINT-CONTACT SPECTROSCOPY
Andreev reflection point-contact spectroscopy is performed on a bilayer consisting of 50-nm degenerately doped Si backed with Nb. Due to the short mean free path both injection into and transport across the Si layer are diffusive, in contrast to the ballistic conditions prevailing in clean metal layers. Nevertheless a large Andreev signal is observed in the point-contact characteristics, not reduced by elastic scattering in the Si layer or by interface scattering, but only limited by the transmission coefficient of the metal-semiconductor point contact. Two peaks in the Andreev reflection probability are visible, marking the values of the superconducting energy gap at the interface on the Nb and Si sides. This interpretation is supported by a method of solving the Bogolubov equations analytically using a simplified expression for the variation of the order parameter close to the interface. This observation enables a comparison with theoretical predictions of the gap discontinuity in the proximity effect. It is found that the widely used de Gennes model does not agree with the experimental data