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RISS 인기검색어
- 검색키워드
- 저자 : Bozkir, Samet M. (검색결과 3 건)
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Ultrasound as pretreatment for drying garlic slices in microwave and convective dryer
Hamza Bozkir,Ahsen Rayman Ergun,Yeliz Tekgul,Taner Baysal 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.2
The effects of ultrasound pretreatment (US)before hot air drying (HAD) and microwave drying(MWD) of garlic slices were investigated. For this aimultrasonic bath at 30 C for 30 min (35 kHz), microwaveoven at 540 W power and tray dryer at 60 C and with1.0 m/s air flow rate were used to reach the final moisturecontent of 5%. Drying rate increased in the US ? HADand the US ? MWD groups by 19.30% and 13.82%respectively in comparison with control groups. Theeffective moisture diffusivity (Deff) of garlic slices werecalculated from Fick’s diffusion model for the HAD,US ? HAD, MWD and the US ? MWD groups as1.420 9 10-10, 1.826 9 10-10, 1.177 9 10-8,1.363 9 10-8 m2/s respectively. The rehydration ratesincreased, and bulk densities were decreased in the US ?HAD and the US ? MWD compared to the control groups. The color values were significantly affected after ultrasoundpretreatment. Redness, and yellowness increasedmost in the US ? HAD group.
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Observation of nano powders and fly ash usage effects on the fluidity features of grouts
Celik, Fatih,Yildiz, Oguzhan,Bozkir, Samet M. Techno-Press 2022 Advances in nano research Vol.13 No.1
The pumpability of the grouts is significant issue in concept of the rheological and workability properties during penetrating to voids and cracks. To improve the fluidity features of the grout mixes, the usage of Colloidal Nano Particular Powders (CNPPs) with mineral additives such as fly ash (FA) can contribute. Therefore, the main purpose of this study can be explained as investigating the usage effects of four types of Colloidal Nano Particular Powders (n-TiO<sub>2</sub>, n-ZnO, n-Al<sub>2</sub>O<sub>3</sub> and n-SiO<sub>2</sub>) as nano additives on the rheological, workability and bleeding properties of cement-based grout incorporated with fly as. Test results showed that the usage of FA in the grout samples positively contribute to increase on the fluidity of the grout samples as expected. The dilatant behavior was observed from the results for all mixes. Observing the effect of nano-sized additives in such cement-based grout mixtures with high fluidity has presented remarkable effects in this study.
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Umut Can Oz,Berrin Küçüktürkmen,Burcu Devrim,Ongun Mehmet Saka,Asuman Bozkir 한국고분자학회 2019 Macromolecular Research Vol.27 No.9
Alendronate sodium (AS) which supresses the activity of osteoclastic cells and leads to the inhibition of bone resorption, is one of the most clinically preferred drug for the treatment of osteoporosis. The purpose of this research is to develop an optimization method for AS loaded poly(lactide-co-glycolide) (PLGA) nanoparticle formulation which is prepared by nanoprecipitation method and is intended for local application to provide enhanced guided bone regeneration. Nanoparticle formulation parameters including AS content, polymer/surfactant ratio and organic to aqueous phase ratio were optimized to evaluate their effects on particle size, polydispersity index (PDI), zeta potential and entrapment efficiency by using central composite experimental design (CCD). Morphology of nanoparticles was visualized with transmission electron microscopy (TEM) and interaction between nanoparticle components was analyzed by Fourier transform infrared (FTIR) spectroscopy, differential scanning calorimetry (DSC) and X-ray diffraction (XRD). The developed quadratic model showed high correlation (R2>0.89) between predicted response and evaluated parameters. Spherical nanoparticles with mean particle size of <84 nm and encapsulation efficiency with >34.68% were produced with the optimized nanoparticle preparation method. The optimization of AS encapsulating PLGA nanoparticles by utilizing CCD method, allowed us to prepare the nanoparticle formulation with optimum properties with less experiments. Consequently, this optimized model can be applied to predict the characteristics of nanoparticles prepared with nanoprecipitation method by using PLGA polymer.
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