New tracer for anthropogenic pollution in the atmosphere: Stable potassium isotopes in rainwater

Qu, Rui; Han, Guilin; Zeng, Jie

doi:10.1016/j.jclepro.2024.140574

Cited by 14 publications

(4 citation statements)

References 67 publications

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“…The average age of patients with stones was 55. 38. There are only 13 cases of urinary stones in individuals below the age of 40, while the highest number of stone cases, 20 in total, occurs in the age group of 51-60 years.…”

Section: Resultsmentioning

confidence: 99%

“…Finally, the computer plotted the spectrum and automatically analyzed the composition of the stones (Software: LIIR 7.2.1.50u, Lambda Scientific). According to previous research, the digestion method for urinary stones involved HF-HNO 3 -HClO 4 -HCl [17,38]. In polytetrafluoroethylene (PFA) crucibles containing the samples, 3 ml of concentrated HF, 1 ml of concentrated HNO 3 , and 0.5 ml of HClO 4 were added and heated at 120 °C for 48 h. The solution was subsequently evaporated, and 1 ml of concentrated HNO 3 and 3 ml of concentrated HCl (aqua regia) were introduced to the PFA crucibles, followed by heating at 120 °C for 48 h [38].…”

Section: Methodsmentioning

confidence: 99%

“…According to previous research, the digestion method for urinary stones involved HF-HNO 3 -HClO 4 -HCl [17,38]. In polytetrafluoroethylene (PFA) crucibles containing the samples, 3 ml of concentrated HF, 1 ml of concentrated HNO 3 , and 0.5 ml of HClO 4 were added and heated at 120 °C for 48 h. The solution was subsequently evaporated, and 1 ml of concentrated HNO 3 and 3 ml of concentrated HCl (aqua regia) were introduced to the PFA crucibles, followed by heating at 120 °C for 48 h [38]. Prior to measurement, all solutions underwent final drying and redissolving to a constant volume.…”

Section: Methodsmentioning

confidence: 99%

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The key role of major and trace elements in the formation of five common urinary stones

Tian,

Han,

Zhang

et al. 2024

BMC Urol

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Background Urolithiasis has emerged as a global affliction, recognized as one of the most excruciating medical issues. The elemental composition of stones provides crucial information, aiding in understanding the causes, mechanisms, and individual variations in stone formation. By understanding the interactions between elements in various types of stones and exploring the key role of elements in stone formation, insights are provided for the prevention and treatment of urinary stone disease. Methods This study collected urinary stone samples from 80 patients in Beijing. The chemical compositions of urinary stones were identified using an infrared spectrometer. The concentrations of major and trace elements in the urinary stones were determined using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), respectively. The data were processed using correlation analysis and Principal Component Analysis (PCA) methods. Results Urinary stones are categorized into five types: the calcium oxalate (CO) stone, carbonate apatite (CA) stone, uric acid (UA) stone, mixed CO and CA stone, and mixed CO and UA stone. Ca is the predominant element, with an average content ranging from 2.64 to 27.68% across the five stone groups. Based on geochemical analysis, the high-content elements follow this order: Ca > Mg > Na > K > Zn > Sr. Correlation analysis and PCA suggested significant variations in the interactions between elements for different types of urinary stones. Trace elements with charges and ionic structures similar to Ca may substitute for Ca during the process of stone formation, such as Sr and Pb affecting the Ca in most stone types except mixed stone types. Moreover, the Mg, Zn and Ba can substitute for Ca in the mixed stone types, showing element behavior dependents on the stone types. Conclusion This study primarily reveals distinct elemental features associated with five types of urinary stones. Additionally, the analysis of these elements indicates that substitutions of trace elements with charges and ion structures similar to Ca (such as Sr and Pb) impact most stone types. This suggests a dependence of stone composition on elemental behavior. The findings of this study will enhance our ability to address the challenges posed by urinary stones to global health and improve the precision of interventions for individuals with different stone compositions.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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The key role of major and trace elements in the formation of five common urinary stones

Tian,

Han,

Zhang

et al. 2024

BMC Urol

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“…River water serves as the primary conduit for the transportation of terrigenous materials and functions as a vital source of nutrients for aquatic organisms. − However, the balance of nutrients in aquatic ecosystems is facing potential threats from damming and urbanization. , Two decades ago, Humborg et al first discovered that damming leads to silicon retention, thereby sparking global attention toward the impact of dam development on nutrient dynamics. Subsequent studies have also revealed that damming leads to the retention of nutrient flux or imbalance ratios in world’s large rivers, − increasing the risk of eutrophication in the aquatic environment .…”

Section: Introductionmentioning

confidence: 99%

Nutrient Dynamics under the Coupling Effects of Damming and Urbanization in the Three Gorges Reservoir: Status, Sources, and Driving Factors

Wang,

Han,

Wang

et al. 2024

ACS Earth Space Chem.

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The coupling effect of damming and urbanization on nutrient dynamics renders the aquatic environment sensitive and vulnerable, posing a significant global concern. However, the role of damming as a source or sink of nutrients remains uncertain. In this study, river water samples were collected in the Three Gorges Reservoir (TGR), which is recognized as the world's largest hydropower engineering. By integrating solute chemistry and flux budget modeling, the status, source, and transformation of riverine nutrients were revealed, and the interplay between water storage and human inputs on TGR nutrient dynamics was discussed. The concentrations of TDN and DSi were 100.2 ± 46.1 μmol/L and 115.7 ± 14.1 μmol/L, respectively. NO 3 − −N (77.9 ± 64.1 μmol/L) was the main species of TDN, with NH 4 + −N and dissolved organic nitrogen accounting for only 2.5 and 19.7%, respectively. DSi was attributed to silicate weathering, while riverine NO 3 − −N exhibited a significant influence from anthropogenic inputs. About 71.7% of NH 4 + −N was retained or converted to NO 3 − −N by nitration along the river. Evidence from the significant correlation (p < 0.05) between NO 3 − −N/NH 4 + −N and d-excess suggests that the evaporation process accelerated by damming promotes nitrification. Through the anthropogenic net nitrogen input model, atmospheric nitrogen deposition was the primary factor affecting nitrogen flux in TGR river water, highlighting the critical impact of urbanization. The estimated contribution fluxes of stored nitrogen from 1997 to 2020 exhibited a limited contribution ratio and decrease yearly, supporting that water level rise from damming promotes the release of stored nitrogen. This study enhances the comprehension of the anthropogenic impacts on the nutrient biogeochemical cycle in damming rivers, providing enlightenment for environmental health management in large reservoirs.

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Multi-elements linear discriminant analysis of herbaceous and woody plants in southwest china karst region using orthogonal partial least squares model

Zhao,

Han,

et al. 2024

Plant Ecol

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New tracer for anthropogenic pollution in the atmosphere: Stable potassium isotopes in rainwater

Cited by 14 publications

References 67 publications

The key role of major and trace elements in the formation of five common urinary stones

The key role of major and trace elements in the formation of five common urinary stones

Nutrient Dynamics under the Coupling Effects of Damming and Urbanization in the Three Gorges Reservoir: Status, Sources, and Driving Factors

Multi-elements linear discriminant analysis of herbaceous and woody plants in southwest china karst region using orthogonal partial least squares model

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