Sorption Characteristics and Fraction Distribution Changes of Selenite in Soil

Fan, Jintai; Zhao, Guoliang

doi:10.3390/su10072491

Cited by 5 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meanwhile, Se is present in diverse forms, particularly as selenide [Se (-II)], elemental selenium [Se (0)], selenite [Se (IV)], or selenate [Se (VI)], all of which exist naturally [14]. Changes in pH have a major impact on selenite adsorption in soil, principally via altering the valence state of heavy metals [15]. According to the current study, Se can limit heavy metal uptake via immobilizing the compounds generated by plants.…”

Section: Introductionmentioning

confidence: 99%

Effect of Soil Acidification on the Production of Se-Rich Tea

Yang,

Zhang,

et al. 2023

Plants

View full text Add to dashboard Cite

Selenium (Se)-enriched tea is a well-regarded natural beverage that is often consumed for its Se supplementation benefits. However, the production of this tea, particularly in Se-abundant tea plantations, is challenging due to soil acidification. Therefore, this study aimed to investigate the effects of changes in Se under acidified soil conditions. Eight tea plantation soil monitoring sites in Southern Jiangsu were first selected. Simulated acid rain experiments and experiments with different acidification methods were designed and soil pH, as well as various Al-ion and Se-ion concentrations were systematically determined. The data were analyzed using R statistical software, and a correlation analysis was carried out. The results indicated that as the pH value dropped, exchangeable selenium (Exc-Se) and residual selenium (Res-Se) were transformed into acid-soluble selenium (Fmo-Se) and manganese oxide selenium (Om-Se). As the pH increased, exchange state aluminum (Alex) and water-soluble aluminum (Alw) decreased, Fmo-Se and Om-Se declined, and Exc-Se and Res-Se increased, a phenomenon attributed to the weakened substitution of Se ions by Al ions. In the simulated acid rain experiment, P1 compared to the control (CK), the pH value of the YJW tea plantation decreased by 0.13, Exc-Se decreased by 4 ug mg−1, Res-Se decreased by 54.65 ug kg−1, Fmo-Se increased by 2.78 ug mg−1, and Om-Se increased by 5.94 ug mg−1 while Alex increased by 28.53 mg kg−1. The decrease in pH led to an increase in the content of Alex and Alw, which further resulted in the conversion of Exc-Se to Fmo-Se and Om-Se. In various acidification experiments, compared with CK, the pH value of T6 decreased by 0.23, Exc-Se content decreased by 8.35 ug kg−1, Res-Se content decreased by 40.62 ug kg−1, and Fmo-Se content increased by 15.52 ug kg−1 while Alex increased by 33.67 mg kg−1, Alw increased by 1.7 mg kg−1, and Alh decreased by 573.89 mg kg−1. Acidification can trigger the conversion of Exc-Se to Fmo-Se and Om-Se, while the content of available Se may decrease due to the complexation interplay between Alex and Exc-Se. This study provides a theoretical basis for solving the problem of Se-enriched in tea caused by soil acidification.

show abstract

Section: Introductionmentioning

confidence: 99%

Effect of Soil Acidification on the Production of Se-Rich Tea

Yang,

Zhang,

et al. 2023

Plants

View full text Add to dashboard Cite

show abstract

“…The overall concentration of selenium (Se) in a given soil is also influenced by the various transport mechanisms taking place inside the solid or solution phase. The transformations between different geochemical fractions in the field of interest are primarily influenced by factors such as pH and redox potential (Nakamaru and Altansuvd, 2014;Xing et al, 2015;, organic matter (Xing et al, 2015), soil texture and mineralogy (Antoniadis et al, 2017;Munier-Lamy et al, 2007), Fe/Al oxides extractable with dithionite-citrate-bicarbonate (Araujo et al, 2019;Fan and Zhao, 2018;Hyun et al, 2006), microbial characteristics (Munier-Lamy et al, 2007), Se content (Winkel et al, 2015;Saha et al, 2017), topographic features (Xu et al, 2018), and the presence of competitive anions such as sulphates and phosphates (Lee et al, 2011). The impact of competitive anions is particularly apparent in soils that receive excessive amounts of fertilizer, particularly phosphorus.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, the adsorption characteristics of Se are influenced by several factors such as the presence of different iron/aluminum oxides, organic matter, and pH levels. Nevertheless, the allocation of Se across different fractions is subject to variation, which is contingent upon the elemental form of Se and the duration of time that Se ion has been adsorbed, as shown by Fan and Zhao (2018).…”

Section: Introductionmentioning

confidence: 99%

Investigation of the relationships between selenium fractions and soil properties by canonical correlation

ÖZKAN,

ÖZSOY,

UYGUR

2023

Soil Studies

View full text Add to dashboard Cite

The availability and distribution of an element are determined by soil conditions and the geochemical fractions. In this study, canonical correlation (CCA) was used to examine the associations between the soil parameters (X set) of the Amik plain and the fractions of selenium (Se) (Y set). A statistically significant correlation (P < 0.01) of 0.391 ± 0.06 was observed between the first canonical variable pair (FCVP). The clay, sand, and silt variables exhibited the greatest standardized canonical coefficients, with values of 74.55, 75.83, and 94.77, respectively. Additionally, the B3 percent had a standardized canonical coefficient of 1.029. The analysis of the FCVP showed that the original variables of the X set and/or its canonical variable (U1) had the strongest linear connection (0.770) with organic matter (OM) and the B3 percentage in the Y set (0.603). The OM (0.3012) exhibited the most substantial linear structural correlations between the canonical variables of the Y set and the original variables of the X set. However, the canonical redundancy analysis revealed that in the FCVP, the variance of the X set was described by its canonical variables to the extent of 20.97%, whereas the Y set was explained by 21.96%. Hence, it can be inferred that the use of canonical correlation is effective in elucidating the relationship between soil parameters and various components of plant nutrition.

show abstract