Pampanga State Agricultural University

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Optimization of Spray Drying of Mango Leaves using Response Surface Mathodology (Record no. 16095)

MARC details
000 -LEADER
fixed length control field 02421ntm a2200169 a 4500
001 - CONTROL NUMBER
control field 135248
003 - CONTROL NUMBER IDENTIFIER
control field 0000000000
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250408094719.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230403n 000 0 eng d
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Baysac,James Ashley E.
245 00 - TITLE STATEMENT
Title Optimization of Spray Drying of Mango Leaves using Response Surface Mathodology
Medium [manuscript] /
Statement of responsibility, etc. James Ashley E. Baysac.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Magalang, Pampanga :
Name of publisher, distributor, etc. Pampanga State Agricultural University,
Date of publication, distribution, etc. August 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 72 leaves ;
Dimensions 28 cm. + 1 computer disc (4 3/4 in.)
500 ## - GENERAL NOTE
General note ABSTRACT The main objective of the study was to optimize the spray drying of mango leaves using Response Surface Methodology (RSM). The Box-Behnken experimental design (BBD) was used to obtain the optimum process parameters for spray drying Carabao mango leaves given the seventeen (17) completely randomized factorial experimental design values. The effects of the process variables namely: inlet temperature m °C, concentration ratio, and maltodextrin on the responses [product moisture content, dry basis (MCdb) in %, drying capacity (dc) in kg/hr, and product recovery rate (RR) in kg/hr] were studied using RSM and BBD. According to ANOVA, the factors had no significant effects on the responses (p > 0.05) stating that all the treatments under varying optimization factor combinations had no difference to one another and that all treatments were the same. The response surface analysis revealed that there was no significant lack of fit for the MC of the product thus considering the model to be inadequate. The lack of fit test for the model for DC was significant hence the model was adequate. The model for RR was also adequate as there was a considerable lack of fit. The optimal conditions estimated for the process were inlet temperature of 89 °C, concentration ratio of :4.44 leaf-water, and maltodextrin of 14.56%. Mango leaves were run under these optimal conditions and underwent toxicological testing, shelf-life analysis, sensory evaluation, and cost analysis. The product was proven safe to consume, yet has a slightly high selling price value of P 1,727.76 per kg. The shelf-life analysis for 14 days revealed no harm to the product and consumers.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mari Rowena c. Tanquilut,
Relator term Adviser.
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
      Not for loan BSAg Eng'g PSAU OLM PSAU OLM Dissertation, Theses 04/03/2023   UT B36 2022 UT12843 04/08/2025 04/08/2025 Theses