Two-Stage Prediction on Effects of Mixtures Containing Phenolic Compounds and Heavy Metals on Vibrio qinghaiensis sp Q67
Two-Stage Prediction on Effects of Mixtures Containing Phenolic Compounds and Heavy Metals on Vibrio qinghaiensis sp Q67
复制标题
酚类和重金属混合物对青海弧菌Q67影响的两阶段预测
DOI：
10.1007/s00128-017-2099-1
复制
发表时间：
2017
影响因子：
2.7
通讯作者：
Liang Yan-Peng
中科院分区：
文献类型：
--
作者：
Mo Ling-Yun;Liu Jie;Qin Li-Tang;Zeng Hong-Hu;Liang Yan-Peng
两阶段预测（TSP）模型已被用于预测含有复杂成分的混合物的毒性，但其预测能力有待进一步验证。选择6种酚类化合物和6种重金属作为混合组分。采用等效浓度比设计了1种混合物（M1），采用固定浓度比设计了4种混合物（M2-M5）。在m1 ~ m5中，TSP模型预测毒性较好，CA高估，IA低估。在M1-M5中，与实际混合EC50值相比，TSP模型的预测误差（分别为13.9%、17.9%、19.2%和17.3%、15.8%）显著低于CA模型（分别大于30%）和IA模型（分别为20.9%、33.0%、20.6%、21.8%和12.5%）。因此，TSP模型优于CA和IA模型。
Two-stage prediction (TSP) model had been developed to predict toxicities of mixtures containing complex components, but its prediction power need to be further validated. Six phenolic compounds and six heavy metals were selected as mixture components. One mixture (M1) was built with equivalent-effect concentration ratio and four mixtures (M2–M5) were designed with fixed concentration ratio. In M1–M5, the toxicities were well predicted by TSP model, while CA overestimated and IA underestimated the toxicities. In M1–M5, compared with the actual mixture EC50 value, the prediction errors of TSP model (13.9%, 17.9%, 19.2%, and 17.3% and 15.8%, respectively) were significantly lower than those in the CA (higher than 30%) and IA models (20.9%, 33.0%, 20.6%, 21.8% and 12.5%, respectively). Thus, the TSP model performed better than the CA and IA model.