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dc.contributor.authorAsma’ Hannani, Ahmad Daud
dc.date.accessioned2014-09-12T07:10:27Z
dc.date.available2014-09-12T07:10:27Z
dc.date.issued2013-06
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/37115
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractPressurized hot water extraction (PHWE) method was implemented in order to reduce the usage of organic solvent in extracting phenolic compound from the rhizome of Zingiber aromaticum. At first, the screening studies using single factorial experiments were performed prior to optimization. The range of the independent variables, namely as extraction temperature (60-150 °C), extraction time (10-50 minutes) and particle size of plant sample (63-750 μm) were determined, then the values of independent variables were selected for optimization. Next, the optimum conditions of the process parameters were determined by employing Response Surface Methodology (RSM) in conjunction with central composite design (CCD). The effects of extraction temperature, time and particle size towards total phenolic content (TPC) were investigated. Results showed that the extraction temperature was significant factor affecting on the TPC. It was predicted that the optimum extraction condition would be the temperature of 160 °C, extraction time of 45 min and particle size of 599.67 μm. Under the optimized condition, the highest value of TPC obtained was 7.078 mg GAE/g dry weight which reasonably close to the predicted value of 7.098 mg GAE/g dry weight. Thus, the results showed that the second order polynomial model was significant since the data were adequately fitted into the model.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectPhenolicen_US
dc.subjectZingiber aromaticumen_US
dc.subjectExtractionen_US
dc.subjectPressurized hot water extraction (PHWE)en_US
dc.titleExtraction optimization of phenolic compond from Zingiber Aromaticum Rhizome using pressurized hot water extraction (PHWE)en_US
dc.typeLearning Objecten_US
dc.contributor.advisorNor Helya Iman Kamaludinen_US
dc.publisher.departmentSchool of Bioprocess Engineeringen_US


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