The Optimization of Parameters for the Spray Drying Process of Wood Apple Extract using Response Surface Methodology
Pham Bao Nguyen1, Vo Thi Diem Kieu2, Nguyen Hai Dang3, Nguyen Hong Anh4, Tran Thanh Dai5, Ma Thai Hoa6
1Pham Bao Nguyen, Postharvest Technology Center, Faculty of Agriculture – Aquaculture, Tra Vinh University, Tra Vinh City, Vietnam.
2Vo Thi Diem Kieu, Faculty of Applied Sciences–Health, Dong Nai Technology University, Dong Nai, Vietnam.
3Nguyen Hai Dang, Faculty of Applied Sciences–Health, Dong Nai Technology University, Dong Nai, Vietnam.
4Nguyen Hong Anh, Faculty of Applied Sciences–Health, Dong Nai Technology University, Dong Nai, Vietnam.
5Tran Thanh Dai, Faculty of Applied Sciences–Health, Dong Nai Technology University, Dong Nai, Vietnam.
6Ma Thai Hoa, Department of Active Polymers and Nanomaterials Applications, Faculty of Applied Chemistry, Tra Vinh University, Tra Vinh City, Vietnam.
Manuscript received on November 16, 2019. | Revised Manuscript received on 22 November, 2019. | Manuscript published on December 10, 2019. | PP: 1528-1535 | Volume-9 Issue-2, December 2019. | Retrieval Number: B9020129219/2019©BEIESP | DOI: 10.35940/ijitee.B9020.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wood apple is a fruit, which containing many nutrient values and bioactive compounds. In the present study, The response surface methodology (RSM) was used to optimize the input variables of the spray drying process. Three coded independent variables viz. input dry substance concentration (X1 ), input flow (X2 ), spray drying temperature (X3 ), corresponds to the encoded variables Z1 (from 20 to 24 %), Z2 (from 5.35 to 6.72 mL/min.), Z3 (from 140 to 160oC). The R2 correlation coefficient between the experimental values and the predicted values from the model up to 0.967 indicated the satisfactorily of the predicted model. Three optimal input parameters to get the highest efficiency of dry matter recovery (51.80 %) were derived at Z1 = 24 %, Z2 = 5.35 mL/min., Z3 = 160oC. The powder product obtained has a good sensory quality, high contents of antioxidants and nutritional components.
Keywords: Optimization, Spray Drying, Wood Apple, Response Surface Methodology.
Scope of the Article: Discrete Optimization