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Modeling praseodymium toxicity in solution to wheat root elongation using the biotic ligand model theory

文献类型： 外文期刊

作者： Guo, Xiaohong 1 ; Li, Mengjia 2 ; Bin, Wang 3 ; Zong, Haiying 2 ; Wang, Fangli 2 ; Huang, Xiaoli 4 ; Liu, Shuaiqi 2 ; Song, Ningning 2 ; Meng, Li 5 ;

作者机构： 1.Ludong Univ, Sch Resources & Environm Engn, Yantai 264025, Peoples R China

2.Qingdao Agr Univ, Sch Resources & Environm, Qingdao 266109, Peoples R China

3.Xinjiang Acad Agr Sci, Inst Soil Fertilizer & Agr Water Saving, Urumqi 830091, Peoples R China

4.Qingdao Agr Univ, Cent Lab, Qingdao 266109, Peoples R China

5.Shandong Inst Sericulture, Yantai 264001, Peoples R China

关键词： Praseodymium; Wheat root elongation; Toxicity; Biotic ligand model (BLM)

期刊名称：ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY （ 影响因子：6.1； 五年影响因子：6.4 ）

ISSN： 0147-6513

年卷期： 2025 年 293 卷

页码：

收录情况： SCI

摘要： Praseodymium (Pr[III]) is a rare earth element (REE) with chronic toxicity. With the increasing use of REE in various fields, considerable amounts of praseodymium have been released into the environment. Consequently, understanding the toxic effects and ecological risks of Pr(III) on organisms is crucial. This study utilized a soil-simulated solution culture method to investigate the influence of Ca2 +, K+, Na+, Mg2+, and pH on acute toxicity to wheat through a single-factor control experiment and established a Pr(III) toxicity prediction model based on the biotic ligand model (BLM). These findings demonstrated that increasing the activities of Mg2+, Ca2+ and H+ reduced the toxicity of Pr(III) on wheat root elongation. In contrast, increasing the activities of K+ and Na+ exhibited no significant effects. Additionally, pH influenced both the solubility and speciation of Pr(III). At pH < 6.5, Pr(III) predominately exists as Pr3+ and PrCl2+, whereas at pH 7.0, the proportion of PrOH2+ significantly increased. Based on DPS9.0 software fitting results, the stability constants were determined as follows: logK(PrBL) = 2.54, logK(PrClBL) = 3.26, logK(PrOHBL) = 3.18, logK(CaBL) = 2.50, logK(MgBL) = 2.61, logK(HBL) = 3.88, and fPrBL50% = 0.36. These results suggest that the BLM effectively predicts Pr(III) toxicity by accounting for toxic species such as Pr3+, PrCl2+, and PrOH2+, along with the competition for binding sites by Mg2+, Ca2+, and H+. The improved Pr(III)-BLM performance is believed to be applicable to a wide range of land plants.

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