Sentence examples for maximum degradation efficiency from inspiring English sources
Maximum degradation efficiency of 87 and 85% were achieved for the MO and RhB dyes, respectively.
Meanwhile, the maximum degradation efficiency of these substrates and COD (chemical oxygen demand) removal were up to 90% and 88%, respectively.
The effect of various process parameters such as initial concentration of phenol, ZnO loading, initial solution pH, and air superficial velocity on the photo-degradation reaction was investigated to achieve maximum degradation efficiency.
It was observed that the maximum degradation efficiency of ∼98% was achieved at pH 6, temperature of 40 °C, time 9 h and an enzyme concentration of 8 IU ml 1.
The resultant CuO/ZnO (ZnCO3-SLS, 1.00 g) nanocomposites exhibit a maximum degradation efficiency of 91.5% for Rhodamine B and 74.3% for Congo Red under visible light irradiation for 240 min, respectively.
The maximum degradation efficiency of cyanide was found to be 99.87% at pH of 10 and light intensity of 750 W/m2 by using 100 mg/l cyanide initial concentration after 5 hour irradiation.
The maximum substrate degradation efficiency, the maximum hydrogen yield and the maximum average hydrogen production rate was predicted at the temperature of 37.8 °C and the initial pH of 7.1, 37.4 °C and 6.9, and 38.2 °C and 7.2, respectively.
The maximum experimental degradation efficiency was 95.07%.
The maximum substrate degradation efficiency of 96.9% was estimated at the temperature of 39.3 °C, the initial pH of 7.0 and the glucose concentration of 26.8 g/L.
The maximum ACT degradation efficiency for EF and PEF processes was 99% at 40 min under pH 3, initial [Fe2+] of 0.10 mM and initial [H2O2] of 25 mM.
The maximum substrate degradation efficiency of 95.3%, hydrogen yield of 305.3 mL/g glucose and average hydrogen production rate of 23.9 mL/h were all obtained at the optimal temperature of 39.0 °C, initial pH of 7.0 and glucose concentration of 24.6 g/L identified by the method of desirability function based on a neural network.
