NH4H2PO4-extractable arsenic provides a reliable predictor for arsenic accumulation and speciation in pepper fruits (Capsicum annum L.)

被引:16
|
作者
Yang, Yu-Ping [1 ,2 ]
Wang, Peng [3 ]
Yan, Hui-Jun [1 ]
Zhang, Hong-Mei [4 ]
Cheng, Wang-Da [4 ]
Duan, Gui-Lan [1 ,2 ]
Zhu, Yong-Guan [1 ,2 ,5 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Nanjing Agr Univ, Coll Resources & Environm Sci, Nanjing 210095, Jiangsu, Peoples R China
[4] Jiaxing Acad Agr Sci, Xiuzhou Dist 314016, Jiaxing, Peoples R China
[5] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Arsenic; Pepper; Bioavailability; Predictive model; Arsenic species; PUBLIC-HEALTH; SOIL; RICE; FRACTIONATION; METABOLISM; VEGETABLES; MINERALS; CADMIUM; RELEASE; FATE;
D O I
10.1016/j.envpol.2019.05.042
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Dietary arsenic (As) intake from food is of great concern, and developing a reliable model capable of predicting As concentrations in plant edible parts is desirable. In this study, pot experiments were performed with 16 Chinese upland soils spiked with arsenate [As(V)] to develop a predictive model for As concentrations in pepper fruits (Capsicum annum L). Our results showed that after three months' aging, concentrations of bioavailable As (extracted by 0.05 M NH4H2PO4) in various soils varied widely, depending on soil total As concentrations and soil properties such as soil pH and amorphous iron (Fe) contents. Furthermore, both the bioconcentration factor (BCF, denoted as the ratio of fruit As to soil As) and total As concentrations in pepper fruits were largely determined by concentrations of bioavailable As, which explained 27% and 69% variations in the BCF and fruit As concentrations, respectively. Apart from bioavailable As, soil pH and Fe contents were another two important factors influencing As accumulation in pepper fruits. Taking the three factors into account, concentrations of fruit As can be well predicted using a stepwise multiple linear regression (SMLR) analysis (R-2= 0.80, RMSE = 0.17). Arsenic species in soils and edible parts were also analyzed. Although As(V) predominated in soils (>96%), As in pepper fruits presented as As(V) (46%) and arsenite [As(III)] (39%) with small amount of methylated As (<15%). Aggregated boosted tree (ABT) analysis revealed that inorganic As concentrations in pepper fruits were determined by concentrations of bioavailable As, phosphorus (P) and Fe in soils. In contrast to inorganic As, methylated As concentrations were not correlated with those factors in soils. Taken together, this study established an empirical model for predicting As concentrations in pepper fruits. The predictive model can be used for establishing the As threshold in fruit vegetable farming soils. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:651 / 658
页数:8
相关论文
共 2 条
  • [1] Effect of Triple Super Phosphate (TSP) and KH2PO4 at Different Application Rates on Biomass and Arsenic Uptake by Pteris vittata L.
    NurAini, A. B.
    Fauziah, I. Che
    MALAYSIAN JOURNAL OF SOIL SCIENCE, 2019, 23 : 109 - 118
  • [2] Uptake Kinetics of NH4+, NO3- and H2PO4- by Typha orientalis, Acorus calamus L., Lythrum salicaria L., Sagittaria trifolia L. and Alisma plantago-aquatica Linn
    Wang, Kunlun
    Hu, Qian
    Wei, Yumin
    Yin, Hui
    Sun, Changhong
    Liu, Guizhong
    SUSTAINABILITY, 2021, 13 (01) : 1 - 14