Biofuels Institute, School of Environment and safety Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China.
Malaysian Institute of Chemical and Bioengineering Technology (MICET), Universiti Kuala Lumpur, Alor Gajah 78000, Melaka, Malaysia.
Int J Environ Res Public Health. 2019 Jun 13;16(12):2092. doi: 10.3390/ijerph16122092.
The present study reports mathematical modelling of palm oil mill effluent and palm-pressed fiber mixtures (0% to 100%) during vermicomposting process. The effects of different mixtures with respect to pH, C:N ratio and earthworms have been optimized using the modelling parameters. The results of analysis of variance have established effect of different mixtures of palm oil mill effluent plus palm press fiber and time, under selected physicochemical responses (pH, C:N ratio and earthworm numbers). Among all mixtures, 60% mixture was achieved optimal growth at pH 7.1 using 16.29 C:N ratio in 15 days of vermicomposting. The relationship between responses, time and different palm oil mill waste mixtures have been summarized in terms of regression models. The obtained results of mathematical modeling suggest that these findings have potential to serve a platform for further studies in terms of kinetic behavior and degradation of the biowastes via vermicomposting.
本研究报告了在蚯蚓堆肥过程中对棕榈油厂废水和棕榈压榨纤维混合物(0%至 100%)进行数学建模。使用建模参数优化了不同混合物的 pH 值、C:N 比和蚯蚓的影响。方差分析的结果确定了不同的棕榈油厂废水加棕榈压榨纤维混合物和时间对所选理化响应(pH 值、C:N 比和蚯蚓数量)的影响。在所有混合物中,在 15 天的蚯蚓堆肥中,60%的混合物在 pH 值为 7.1 时使用 16.29 的 C:N 比实现了最佳生长。已经根据回归模型总结了响应、时间和不同棕榈油厂废物混合物之间的关系。数学建模的结果表明,这些发现有可能为通过蚯蚓堆肥对生物废物的动力学行为和降解提供进一步研究的平台。