Ammonia-N removal using soil mixed culture : factorial analysis / Nurul Izzati Abd Ghalib

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2013Description: xviii, 98 p. : ill. ; 30 cm. + 1 CD-ROMISBN:
  • THE0002184(Local)
Subject(s): Dissertation note: Project paper (Bachelor of Chemical Engineering (Biotechnology)) -- Universiti Malaysia Pahang – 2013 Abstract: Ammonia-N content in the soil around poultry farm can harm on the poultry itself because it can cause diseases and the worst effect is mortality; causes the breeders to have a great number of losses. This research studied the factors that influence ammonia-N removal using soil mixed culture in order reduce the ammonia-N content in soil around the poultry farm. The ammonia-N solution treated with soil mixed culture that believed containing high density of soil mixed culture microbes. These microbes undergone some reactions that reduced the ammonia-N concentration. The parameters of this research were agitation, reaction time, type of soil, temperature, and soil to water ratio. Preliminary experiments conducted to find the suitable reaction time, were done by treating ammonia-N solution with UMP soil. The five factors were applied for 32 runs experiment, involving poultry farm soil, UMP soil and ammonia-N solution. The experimental design was done by Design Expert software. The single factor that gave highest contribution was type temperature (16.84%) while for interaction factor, type of soil-temperature showed the most significant removal with 9.1%. Verification experiments done using poultry farm wastewater treated with UMP and PF soil. Run 3 (no agitation, 5-hours reaction time, 1:6, PF soil, 250C), Run 4 (no agitation, 5-hours reaction time, 1:6, UMP soil, 250C ) and Run 7 (no agitation, 2-hours reaction time, 1:1, PF soil, 300C) removed 48.28%, 48.28% and 41.38% of the actual ammonia-N concentration in poultry farm wastewater accordingly. The error of predicted and actual percentages removal of Run 3, 4 and 7 were 1.25%, 0.71% and 2.39% respectively. The coefficient r2 of this model for factorial analysis was 0.8383. Optimization on the factors in nitrification process is highly recommended.
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Project paper (Bachelor of Chemical Engineering (Biotechnology)) -- Universiti Malaysia Pahang – 2013

Bibliography : p. 68-86

Ammonia-N content in the soil around poultry farm can harm on the poultry itself because it can cause diseases and the worst effect is mortality; causes the breeders to have a great number of losses. This research studied the factors that influence ammonia-N removal using soil mixed culture in order reduce the ammonia-N content in soil around the poultry farm. The ammonia-N solution treated with soil mixed culture that believed containing high density of soil mixed culture microbes. These microbes undergone some reactions that reduced the ammonia-N concentration. The parameters of this research were agitation, reaction time, type of soil, temperature, and soil to water ratio. Preliminary experiments conducted to find the suitable reaction time, were done by treating ammonia-N solution with UMP soil. The five factors were applied for 32 runs experiment, involving poultry farm soil, UMP soil and ammonia-N solution. The experimental design was done by Design Expert software. The single factor that gave highest contribution was type temperature (16.84%) while for interaction factor, type of soil-temperature showed the most significant removal with 9.1%. Verification experiments done using poultry farm wastewater treated with UMP and PF soil. Run 3 (no agitation, 5-hours reaction time, 1:6, PF soil, 250C), Run 4 (no agitation, 5-hours reaction time, 1:6, UMP soil, 250C ) and Run 7 (no agitation, 2-hours reaction time, 1:1, PF soil, 300C) removed 48.28%, 48.28% and 41.38% of the actual ammonia-N concentration in poultry farm wastewater accordingly. The error of predicted and actual percentages removal of Run 3, 4 and 7 were 1.25%, 0.71% and 2.39% respectively. The coefficient r2 of this model for factorial analysis was 0.8383. Optimization on the factors in nitrification process is highly recommended.

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