کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4513987 | 1624869 | 2012 | 7 صفحه PDF | دانلود رایگان |

The optimum conditions of extraction time, solid to solvent ratio, and methanol concentration for extracting total phenolic content (TPC) from mangosteen (Garcinia mangostana L.) hull powder have been investigated using response surface methodology. The experimental data obtained was adequately fitted into second-order polynomial models with coefficient of determination (R2) of 0.897. Response surface analysis showed that the optimal extraction parameters which gave a maximum TPC yield of 140.66 mg gallic acid equivalent (GAE)/g powder were from a 2 h extraction with 0.05 solid to solvent ratio and at 69.77% methanol concentration. Analysis using artificial neural network (ANN) predicted data which showed a higher R2 value of 0.945 and average absolute deviation (ADD) values of 4.01% versus 5.37% for the RSM. This suggests that ANN is a better modelling technique for nonlinear data for predicting TPC extracted from mangosteen hull powder compared to the response surface methodology (RSM).
► Mangosteen hull has great potential for its bioactive compounds have many medicinal benefits.
► This paper investigates the extraction process of total phenolic contents from mangosteen hull.
► The process of extraction is studied using modelling techniques of RSM and ANN.
► RSM is proven useful for modelling of the extraction process and optimizing the factors of extraction conditions.
► However, ANN has been proven a better technique in data fitting and estimation of total phenolic contents extracted than the RSM.
Journal: Industrial Crops and Products - Volume 40, November 2012, Pages 247–253