Chemical and Environmental Engineering Department, Technical University Federico Santa María, Av. España 1680, Casilla 110, Valparaíso, Chile.
Advanced Water Management Centre, The University of Queensland, St. Lucia Campus, 4072 QLD, Australia.
Waste Manag. 2018 Jan;71:19-24. doi: 10.1016/j.wasman.2017.10.009. Epub 2017 Oct 21.
Biochemical methane potential (BMP) test is a key analytical technique to assess the implementation and optimisation of anaerobic biotechnologies. However, this technique is characterised by long testing times (from 20 to >100days), which is not suitable for waste utilities, consulting companies or plants operators whose decision-making processes cannot be held for such a long time. This study develops a statistically robust mathematical strategy using sensitivity functions for early prediction of BMP first-order model parameters, i.e. methane yield (B) and kinetic constant rate (k). The minimum testing time for early parameter estimation showed a potential correlation with the k value, where (i) slowly biodegradable substrates (k≤0.1d) have a minimum testing times of ≥15days, (ii) moderately biodegradable substrates (0.1<k<0.2d) have a minimum testing times between 8 and 15 days, and (iii) rapidly biodegradable substrates (k≥0.2d) have testing times lower than 7days.
生物化学甲烷潜能（BMP）测试是评估厌氧生物技术实施和优化的关键分析技术。然而，该技术的测试时间通常较长（20 天到>100 天），这对于废物处理设施、咨询公司或工厂运营商来说并不适用，因为他们的决策过程不能拖延这么长时间。本研究使用灵敏度函数开发了一种具有统计学稳健性的数学策略，用于对 BMP 一级模型参数（即甲烷产量（B）和动力学常数速率（k））进行早期预测。早期参数估计的最短测试时间显示出与 k 值的潜在相关性，其中：（i）缓慢可生物降解的底物（k≤0.1d）的最短测试时间≥15 天；（ii）中等可生物降解的底物（0.1<k<0.2d）的最短测试时间在 8 到 15 天之间；（iii）快速可生物降解的底物（k≥0.2d）的测试时间低于 7 天。
