反應性醛與極性麻醉氯酚之混合毒性試驗

Combined Toxicity of Reactive and Polar

陳欣妤(Xin-Yu Chen)

指導教授 ： 陳重元

國立交通大學/工學院/環境工程系所/碩士(2009年)

https://doi.org/10.6842/NCTU.2009.00848

摘要

本研究以反應性醛與極性麻醉物氯酚針對Microtox進行混合毒性試驗，並引用Christensen ＆ Chen 混合毒性理論預測其混合毒性變化。Microtox混合毒性實驗結果大致符合非交互作用混合理論。實驗結果發現不同機制的物質混合，小斜率的物質產生毒性增強的機率極高，斜率較大的物質混合則以相加及拮抗作用為主。

實驗中發現三組混合毒性不符合交互作用理論：2,3-DP+丙醛、2-CP +丙醛、4-CP +丁醛，且丙醛的isobologram中更出現了complex joint action的現象，推測兩化合物間產生了化學反應，故利用HPLC作進一步分析，發現混合後面積大為減少。

許多混合毒性文獻皆指出CA 模式的預測力較IA佳，不過這是基於當ρ= 0的情形下成立，本研究特別考慮了當ρ= -1時的IA 模式。實驗發現當化合物具小斜率的劑量-反應關係曲線時，以IA模式所預測的結果較為嚴重；反之，若混合毒物的斜率較大時則應選擇CA 模式較為保守。

關鍵字

混合毒性 ； 相加作用 ； 獨立作用 ； 機制

並列摘要

The joint action of reactive aldehydes and polar narcosis chlorophenols was analyzed using the Microtox test. The experimental results were compared with the predictive model. The results of this research agree with the non-interactive combined toxicity theory. The majority of synergistic joint actions observed were related to reactive toxicants having different mechanisms of toxicity and flat concentration-response curves.

There was three interactive multiple toxicity cases：2-CP + propionaldehyde, 2,3-DP+ propionaldehyde, and the 4-CP+butyraldehyde. The complex joint action could be found between the propionaldehyde and the chlorophenol, indicated that interactive action happened. To study the chemical interactions, here uses the HPLC for analyze.

Many toxicologists thought that concentration addition (CA) had a higher predictive power than independent action (IA). But they just ignored the condition of ρ= -1. In this study, we find that if the slope parameter is lower than 2, the IA model predicts a higher effect than CA. On the contrary, if the chemical has the sharp concentration-response curve, CA is more conservative than IA.

並列關鍵字

mixture toxicity ； Microtox ； mechanism ； concentration addition ； independent action

參考文獻

[2] Ren S, Frymier PD. 2003. Use of multidimensional scaling in the selection of wastewater toxicity test battery components. Water Res. 37:1655-1661

[4] Trevizo C, Nirmalakhandan N. 1999. Prediction of microbial toxicity of industrial organic chemicals. Wat Si. Tech 39:63-69

[5] Ren S, Frymier PD. 2003. Use of multidimensional scaling in the selection of wastewater toxicity test battery components. Water Res. 37:1655-1661

[6] Ren S, Frymier PD. 2002. Modeling the toxicity of polar and nonpolar narcotic compounds to luminescent bacterial SHK1. Environ Toxicol and Chem. 21:2649-2653

[7] Ren S, Frymier PD. 2002. Toxicity estimation of phenolic compounds by bioluminescent bacterium. J Environ Eng.