Institute for Agricultural Engineering and Animal Husbandry, Bavarian State Research Center for Agriculture, Am Staudengarten 3, 85354 Freising, Germany.
Chair of Urban Water Systems Engineering, Technical University of Munich, Am Coulombwall 3, 85748 Garching, Germany.
Bioresour Technol. 2023 Jun;378:128963. doi: 10.1016/j.biortech.2023.128963. Epub 2023 Mar 25.
The aim of this study was to improve the quality of estimations of the first-order kinetic constant k, in Biochemical Methane Potential (BMP) tests. The results showed that existing guidelines for BMP tests are not sufficient to improve the estimation of k. The methane production of the inoculum itself exerted a major influence on the estimation of k. A flawed value in k was correlated with a high endogenous methane production. Excluding blanks that showed a distinct lag-phase of >1 day and a mean relative standard deviation >10% during the first ten days of a BMP test helped to retrieve more consistent estimates for k. For improving the repeatability in the determination of k in BMP tests, it is strongly recommended to inspect the methane production rate of the blanks. The proposed threshold values may be applied by other researchers but need further verification with different data.
本研究旨在提高生化甲烷潜能（BMP）测试中一级动力学常数 k 的估计质量。结果表明，现有的 BMP 测试指南不足以改善 k 的估计。接种物本身的甲烷生成对 k 的估计有重大影响。k 的一个有缺陷的值与高内源性甲烷生成有关。排除在 BMP 测试的前 10 天内显示出明显滞后期>1 天和平均相对标准偏差>10%的空白，可以帮助获得更一致的 k 估计值。为了提高 BMP 测试中 k 测定的可重复性，强烈建议检查空白的甲烷生成速率。其他研究人员可以应用建议的阈值，但需要用不同的数据进一步验证。
