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An assessment model for the risk of wastewater of pharmaceutical manufacturers(mixing and formulation) taking methane-oxidizing bacteria as an indicator

机译:药物制造商废水风险评估模型(混合和配方)作为指示剂服用甲烷氧化细菌

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In order to assess the environmental risk of water pollutants, a fitting function of the dose-effective relationship among microbial indicator and pollutants was reached. The microbial fauna in the microcosm of the pharmaceutical manufacturers of mixing and formulation were measured. The correlationship among different concentrations of artificial composed water and the mass growth of target microbial was calculated to set a fitting function. The methane-oxidizing bacteria was selected as the indicator owing to its better reactivity of mass growth, the highest correlationship(r=-0.968) along with the change of the wastewater concentrations and the coefficient of fitting function as R2=1. The fitting function equation was y=-1.63x4+2.908x3- 1.783x2+0.299x+0.276; Thus, different risk levels were divided: No risk(OD600≥0.276), Low risk(0.276< OD600< 0.138), Medium risk (0.138≤OD600<0.000), High risk (OD600≤ 0.000). The sensitivity of microbial indicator incresaes the precision of warning and the time of crisis response with very strong practicability.
机译:为了评估水污染物的环境风险,达到微生物指标和污染物之间剂量有效关系的拟合功能。测量了混合和配方的药物制造商微观的微生物动物群。计算不同浓度的人工组成水和靶微生物的质量生长的相关性以设定配合功能。由于其质量生长的更好反应性,选择甲烷氧化细菌作为指示剂,其具有最高的相关性(R = -0.968)以及废水浓度的变化和拟合函数的变化作为R2 = 1。拟合功能方程为y = -1.63x4 + 2.908x3- 1.783x2 + 0.299x + 0.276;因此,不同的风险水平分为:没有风险(OD600≥0.276),风险低(0.276

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