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All Journal JITIPARI (Jurnal Ilmiah Teknologi dan Industri Pangan UNISRI) Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)
Devy Ulandari
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering

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Response surface methodology in the optimization of walur (Amorphophallus paeoniifolius var. Sylvestris) starch pregelatinization process Simon Bambang Widjanarko; Devy Ulandari; Kiki Fibrianto
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 6, No 1 (2023)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2023.006.01.6

Abstract

This study aimed to determine the effect of temperature and time of the pregelatinization process on the physical and functional properties of pregelatinized and native walur starch using the central composite design method of response surface methodology (CCD-RSM). Several analyses, including rapid visco analyzer (RVA), scanning electron microscopy (SEM), and X-ray diffraction (XRD), were used to characterize an optimum pregelatinized walur starch (PWS). The optimum conditions for producing PWS were at 87.51oC and 9.71 minutes. The experimental verification data, repeated three times, were not significantly different (P>0.05) from the prediction optimization data generated by the Design Expert Software 7.1.5 Trial Version, which produces PWS with 19.56 ± 0.68 % swelling, 9.87 ± 0.18 % solubility and 835.62 ± 0.84 % water holding capacity (WHC). The result from RVA analysis showed that the pregelatinization process of walur starch increases the peak, final and setback viscosity, peak time, and pasting temperatures but decreases breakdown viscosity. Native walur starch (NWS) had a more crystalline form than PWS on XRD analysis. The SEM analysis revealed that NWS had smooth surface granules compared to PWS granules.
Physical and Sensory Characteristics of Gluten Free Cookies Prepared from Black Glutinous Rice and MOCAF Flour Combination Destiana Adinda Putri; Husnita Komalasari; Devy Ulandari; Fuad Sauqi Isnain
JITIPARI Vol 8 No 2 (2023)
Publisher : Universitas Slamet Riyadi Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33061/jitipari.v8i2.9149

Abstract

Extensive research has been conducted to investigate the formulation of a new generation of cereal-based Gluten Free (GF) foods formulated with High-Resistant Starch (RS) sources and high in nutritional value. Black glutinous rice flour is a rich in bioactive compound and MOCAF is known for its high RS content often used as an alternative to wheat flour in the production of gluten-free cookies. The formulation of the combination of these two ingredients needs to be investigated to produce gluten free cookies that have good physical and sensory characteristics. The aims of these research was to investigate the effect of different ratio of Black Glutinous Rice Flour (BGRF) and MOCAF (MF) formulation (F1 = 100:0, F2= 75:25, F3=50:50, F4= 25:75, F5= 0:100) on physical and sensory parameter of resultant GF cookies. The results shows that, cookies with high amount of BGRF showed interesting physical properties with higher diameter, spread ratio, and ∆E of the cookies, lower weight, thickness, baking loss, L*, a*, b*, C* value, and the hedonic score of color, aroma, taste, texture, overall compared to cookies with 100% MF. The best formula that produces gluten free cookies with the highest taste score score is F4 (BGRF 25%:MF 75%) with physical characteristics weight 10.70 g, diameter 48.40 mm, thickness 8.60 mm, spread ratio 5.63, baking loss 17.37 %, L* 53.96, a* 0.63, b* 17.65, C* 17.66, ∆E 48.78. With the combination of BGRF and MF on cookies dough, we manage to obtain cookies that has great potential to increase the nutritional quality of gluten-free food.
Co-Authors Fuad Sauqi Isnain Husnita Komalasari KIKI FIBRIANTO Putri, Destiana Adinda SIMON BAMBANG WIDJANARKO