Abstract: The mechanism for extraction bioactive compounds
from plant matrix is essential for optimizing the extraction process. As
a benchmark technique, a soxhlet extraction has been utilized for
discussing the mechanism and compared with an accelerated water
extraction. The trends of both techniques show that the process
involves extraction and degradation. The highest yields of 6-, 8-,
10-gingerols and 6-shogaol in soxhlet extraction were 13.948, 7.12,
10.312 and 2.306 mg/g, respectively. The optimum 6-, 8-,
10-gingerols and 6-shogaol extracted by the accelerated water
extraction at 140oC were 68.97±3.95 mg/g at 3min, 18.98±3.04 mg/g
at 5min, 5.167±2.35 mg/g at 3min and 14.57±6.27 mg/g at 3min,
respectively. The effect of temperature at 3mins shows that the
concentration of 6-shogaol increased rapidly as decreasing the
recovery of 6-gingerol.
Abstract: In this paper, an ultrasonic technique is proposed to
predict oil content in a fresh palm fruit. This is accomplished by
measuring the attenuation based on ultrasonic transmission mode.
Several palm fruit samples with known oil content by Soxhlet
extraction (ISO9001:2008) were tested with our ultrasonic
measurement. Amplitude attenuation data results for all palm samples
were collected. The Feedforward Neural Networks (FNNs) are
applied to predict the oil content for the samples. The Root Mean
Square Error (RMSE) and Mean Absolute Error (MAE) of the FNN
model for predicting oil content percentage are 7.6186 and 5.2287
with the correlation coefficient (R) of 0.9193.