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首页> 外文期刊>International Biodeterioration & Biodegradation >Bioaccessibility-based predictions for estimating PAH biodegradation efficacy - comparison of model predictions and measured endpoints.
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Bioaccessibility-based predictions for estimating PAH biodegradation efficacy - comparison of model predictions and measured endpoints.

机译:用于评估PAH生物降解功效的基于生物可及性的预测-模型预测与测量终点的比较。

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In this study, PAH biodegradation was assessed in historically contaminated soils collected from former manufacturing gas plant (MGP), wood preservation (WPS) and tram yard (TY) sites. Measured enhanced natural attenuation (ENA) endpoints were compared to bioaccessibility-based endpoint predictions (i.e. using non-exhaustive extraction or oxidation methodologies) to determine the suitability of previously published bioaccessibility-biodegradability models for predicting the efficacy of bioremediation. Under ENA conditions, the concentration of total PAHs in MGP, WPS and TY was reduced by 24.7, 22.4 and 41.7% respectively, however, the extent of PAH removal varied for individual compounds with limited degradation of the high molecular weight PAHs. PAH bioaccessibility assessment using butanol, hydroxypropyl- beta -cyclodextrin (HP- beta -CD) extraction or persulfate oxidation gave varying results with butanol extraction providing the highest estimates of individual PAH bioaccessibility (27.3-97.4%). Similarly, when bioaccessibility data were used as input values into bioaccessibility-biodegradability linear regression models, butanol extraction predicted the greatest extent of PAH biodegradability. When predicted and measured biodegradation endpoints were compared, a high correlation (R2=0.62) was observed for predictions using HP- beta -CD extraction and the model of Reid et al. (2000), however, discrepancies were highlighted following Bland-Altman analysis. These discrepancies may be overcome by strengthening model correlation and validation by increasing the size of the data set (number of soils) which vary in soil characteristics and contaminant loading.
机译:在这项研究中,评估了从以前的天然气生产厂(MGP),木材防腐(WPS)和电车场(TY)地点收集的历史污染土壤中的PAH生物降解。将测得的增强自然衰减(ENA)端点与基于生物可及性的端点预测(即使用非穷举提取或氧化方法)进行比较,以确定先前发布的生物可及性-生物降解性模型对预测生物修复功效的适用性。在ENA条件下,MGP,WPS和TY中总PAHs的浓度分别降低了24.7、22.4和41.7%,但是,对于高分子量PAHs降解受限的单个化合物,PAH的去除程度各不相同。使用丁醇,羟丙基-β-环糊精(HP-β-CD)萃取或过硫酸盐氧化进行的PAH生物可及性评估给出了不同的结果,丁醇萃取可提供最高的单个PAH生物可及性估计值(27.3-97.4%)。同样,当将生物可及性数据用作生物可及性-生物降解性线性回归模型的输入值时,丁醇提取可预测PAH生物可降解性的最大程度。当比较预测和测量的生物降解终点时,使用HP-β-CD提取和Reid等人的模型进行预测时,观察到高度相关性(R 2 = 0.62)。 (2000年),然而,根据布兰德-奥特曼分析的差异突出。通过增加模型的相关性和通过增加数据集的大小(土壤数量)可以克服这些差异,数据集的大小(土壤数量)因土壤特性和污染物负荷的不同而不同。

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