Influencing Factors and Prediction Models of Mercury Phytoavailability and Transference in a Soil–Lettuce System under Chinese Agricultural Soils

Author:

Ullah Subhan12,Hussain Sajjad3ORCID,Noor Yousaf4,Khanam Tasawar56,Xia Xing3,Darma Aminu Inuwa1,Feng Ya3,Yang Jianjun1ORCID

Affiliation:

1. State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences), Beijing 100081, China

2. Cereal Crops Research Institute (CCRI), Pirsabak, Nowshera 24050, Pakistan

3. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China

4. Agriculture Research Institute (ARI), Tarnab, Peshawar 24330, Pakistan

5. Ecohealth and Toxicology Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad 44000, Pakistan

6. Department of Zoology, University of Chakwal, Chakwal 48800, Pakistan

Abstract

Mercury (Hg) is a highly toxic contaminant posing serious ecological and human health risks. This study investigates the Hg transfer characteristics and prediction models in a soil–lettuce system, employing bioconcentration factors (BCF), path analysis (PA), and Freundlich-type functions. A pot experiment was conducted in a greenhouse, where lettuce was grown in a range of Chinese agricultural soils (n = 21) and deliberately spiked with Hg using Hg(NO3)2 solution. The results indicated that lettuce grown in Hg-spiked acidic soils (pH < 6.5) accumulated total Hg (THg) levels up to 14.01 µg kg−1, surpassing the safe consumption limit of 10 µg kg−1. The BCF for lettuce THg was less than 1.0, suggesting a low transfer of Hg from soil to lettuce. Notably, BCF values were significantly higher in acidic soils (0.02) compared to alkaline soils (0.005). Path analysis accounted for 82% of the variation in lettuce THg content, identifying soil THg, pH, and amorphous (Amo) Al and Fe oxides as primary direct factors. Additionally, soil-available Hg (AvHg), exchangeable Hg (ExHg), clay, and organic matter (OM) were significant indirect factors affecting lettuce THg content. To validate the findings of the path analysis, an extended Freundlich-type equation was developed using stepwise multiple linear regression (SMLR). This model exhibited high predictive accuracy (R2 = 0.82, p ≤ 0.001), with soil pH, THg, and amorphous Al and Fe oxides being the key variables for predicting Hg transfer in the soil–lettuce system. The insights from this study can guide the management of safe lettuce production in Hg-contaminated soils, ensuring the mitigation of Hg exposure through agricultural produce.

Funder

Top-Notch Young Talents Program of China

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences

Publisher

MDPI AG

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