Back to Search Start Over

Derivation of empirical model to predict the accumulation of Pb in rice grain.

Authors :
Xu, Qiao
Gao, Yu
Wu, Xiaoshuai
Ye, Jien
Ren, Xinyue
Zhou, Zhen
Cai, Qiongyao
Wu, Hanxin
Pang, Jingli
Luo, Yating
Shi, Jiyan
Source :
Environmental Pollution; Apr2021, Vol. 274, pN.PAG-N.PAG, 1p
Publication Year :
2021

Abstract

Lead contamination in soil has become a worldwide threat on food security and human health. To assess the Pb bioavailability and evaluate the safe use of low Pb polluted soil for food production, the speciation of Pb in 19 types of paddy soil were investigated by chemical extraction and X-ray absorption near-edge structure (XANES), and the uptake and accumulation characteristics of Pb in different soil-rice systems were investigated. Moreover, an empirical model was established to predict the content of Pb in rice grain, and field validation was conduct to evaluate model performance. Results showed that the proportion of available Pb in different soil satisfied normal distribution N (0.47, 0.23). Pb(CH 3 COO) 2 , GSH-Pb, PbO, PbHPO 4 and Pb 3 (PO 4) 2 performed well in characterizing the speciation of Pb in different rhizosphere soils, and PbHPO 4 accounted for more than 70%. The exceedance of Pb in grain in CK, 0.5X and 1X treatment were 10.5%, 36.1% and 42.1%, respectively, and the accumulation of Pb in grain was significantly related with Pb content in root. Carbonate and organic bound Pb in rhizosphere soil were two major Pb species that influenced the accumulation of Pb in rice. Moreover, content of total Pb, clay and SOM performed well in predicting the Pb content in grain, both for pot and field samples. Above all, our predicting model worked well in evaluating Pb accumulation in rice grain among low polluted paddy farmland (Total Pb < 300 mg/kg). Image 1 • Edible Pb content was positively related to the carbonate and organic bounded Pb in rhizosphere soil. • The specific speciation of Pb in different rhizosphere soils was clarified using XANES. • The content of total Pb, clay and SOM performed well in predicting the Pb content in rice grain. • Our model worked well in evaluating Pb content in rice grain among low polluted farmland. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02697491
Volume :
274
Database :
Supplemental Index
Journal :
Environmental Pollution
Publication Type :
Academic Journal
Accession number :
148930859
Full Text :
https://doi.org/10.1016/j.envpol.2021.116599