a Department of Environmental Engineering , Technical University of Denmark , Kongens Lyngby , Denmark.
b Department of Environmental Biotechnology , UFZ-Helmholtz Centre for Environmental Research, Leipzig , Germany.
SAR QSAR Environ Res. 2017 Aug;28(8):629-650. doi: 10.1080/1062936X.2017.1365762. Epub 2017 Sep 12.
In biodegradation studies with isotope-labelled pesticides, fractions of non-extractable residues (NER) remain, but their nature and composition is rarely known, leading to uncertainty about their risk. Microbial growth leads to incorporation of carbon into the microbial mass, resulting in biogenic NER. Formation of microbial mass can be estimated from the microbial growth yield, but experimental data is rare. Instead, we suggest using prediction methods for the theoretical yield based on thermodynamics. Recently, we presented the Microbial Turnover to Biomass (MTB) method that needs a minimum of input data. We have estimated the growth yield of 40 organic chemicals (31 pesticides) using the MTB and two existing methods. The results were compared to experimental values, and the sensitivity of the methods was assessed. The MTB method performed best for pesticides. Having the theoretical yield and using the released CO as a measure for microbial activity, we predicted a range for the formation of biogenic NER. For the majority of the pesticides, a considerable fraction of the NER was estimated to be biogenic. This novel approach provides a theoretical foundation applicable to the evaluation and prediction of biogenic NER formation during pesticide degradation experiments, and may also be employed for the interpretation of NER data from regulatory studies.
在使用放射性标记农药进行生物降解研究时,会残留部分不可提取的残留物(NER),但其性质和组成很少被了解,这导致其风险存在不确定性。微生物生长会导致碳掺入微生物质量中,从而形成生物成因的 NER。可以根据微生物生长产率来估计微生物质量的形成,但实验数据很少。相反,我们建议使用基于热力学的理论产率预测方法。最近,我们提出了微生物周转至生物质(MTB)方法,该方法需要最少的输入数据。我们使用 MTB 和两种现有方法估算了 40 种有机化学品(31 种农药)的生长产率。将结果与实验值进行了比较,并评估了方法的敏感性。MTB 方法在农药方面表现最佳。通过理论产率并使用释放的 CO 作为微生物活性的衡量标准,我们预测了生物成因 NER 形成的范围。对于大多数农药,估计有相当一部分 NER 是生物成因的。这种新方法为评价和预测农药降解实验中生物成因 NER 的形成提供了理论基础,也可用于解释监管研究中 NER 数据。