Studies of kidney stones using INAA, EDXRF and XRD techniques

Srivastava, Alok Kumar; Swain, K. K.; Vashisht, B.; Aggarwal, P.; Mete, Uttam; Acharya, R.; Wagh, D. N.; Reddy, Α. V. R.

doi:10.1007/s10967-014-2939-y

Cited by 8 publications

(8 citation statements)

References 10 publications

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“…The Zn concentration was found to be the highest in apatite. A positive correlation was suggested by Srivastava et al [2] and Lin et al [6] between Zn and Ca, was found in this study (table 4). The least amount of Zn was found in struvite, which also had no Ca and the highest Br concentration.…”

Section: Resultssupporting

confidence: 83%

“…It is estimated that 8.8% of the population in the USA suffers from kidney stone disease [1] and that 15% of global populations are expected to have stone formation, regardless of race and ethnicity [2]. …”

Section: Introductionmentioning

confidence: 99%

“…Those elements contribute to the formation by being either inhibitors or matrix components. High levels of strontium (Sr) and zinc (Zn) have been found where the concentration of calcium (Ca) was high, and a positive correlation found between Zn and Sr [2, 6]. Calcium oxalate kidney stones usually contain higher concentrations of all elements in comparison to uric acid and xanthine stones [3].…”

Section: Introductionmentioning

confidence: 99%

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Neutron activation analysis with a Monte Carlo simulation for kidney stones

Sahiner

Srivastava

McCollough

et al. 2015

Biomed. Phys. Eng. Express

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Mechanistic questions regarding kidney stone formation have led researchers to look for the presence of trace elements. Neutron activation analysis is able to identify elements at parts-per-million concentrations. Four different types of kidney stones were irradiated with thermal neutrons to produce radioisotopes. Gamma spectroscopy of samples at different counting times was used to reduce identification errors by correlating results with the half-life of identified elements. For more precise identification, Monte Carlo simulation was used to cross-check the identification process. The simulation showed promising results that could lead to fast and accurate identification of trace elements as the simulation code is improved. Sodium (Na), potassium (K), calcium (Ca), bromine (Br), samarium (Sm), zinc (Zn), cadmium (Cd), ytterbium (Yb), gold (Au), cobalt (Co), and manganese (Mn) were identified as being present in the stones, by both the experimentally measured gamma spectrum and the simulation. Among these, Ca, Br, and Zn were found to be of potential clinical relevance via a literature review. Concentrations of the elements were compared to those noted in the literature. For uric acid stones, a correlation with the literature was found for Zn and Ca. A negative correlation was found between Zn and Br for non-uric acid stones. More samples are needed to test for statistical significance.

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Section: Resultssupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Neutron activation analysis with a Monte Carlo simulation for kidney stones

Sahiner

Srivastava

McCollough

et al. 2015

Biomed. Phys. Eng. Express

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“…Fergusson (1990) found that some ferritic soils have bismuth concentrations of up to 10 mg kg -1 , whereas Tyler and Olsson (2005) found bismuth concentrations of 92 mg kg -1 in raw humus soil. Table 4 details the mineral content and description of fifteen iron ore samples obtained by X-ray diffraction (Preeti and Singh, 2007;Srivastava, 2014). The trace mineral calcite (CaCO 3 ) was monitored and found to be present in all samples.…”

Section: Atomic Absorption Spectrometer (Aas) Analytical Resultsmentioning

confidence: 99%

Mineral determination and radiological risk caused by geological formations from Iron Ore in Wadi Sawawin, Duba, Saudi Arabia

Alharbi¹

2016

Int. J. Phys. Sci.

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Fifteen iron ore samples collected from Wadi Sawawin, Duba, Saudi Arabia were analysed using X-ray diffraction in order to determine mineral composition. Atomic absorption analysis was used to determine concentrations of Al, Ca, Fe, K, Mg, Bi, Pb, Th and U. Natural radioactivity concentrations were determined using gamma-ray spectrometry based on a hyper pure germanium (HPGe) detector; concentrations ranged from 1.89±0.39 to 4.50±0.53 Bq kg -1 , 1.21±0.16 to 3.60±0.56 Bq kg -1 and detection level to 10.33±1.32 Bq kg -1 for 226 Ra, 232Th and 40 K, respectively. In order to assess the potential radiological risks to human health, the absorbed dose rate, radium equivalent activity, annual absorbed dose and external hazards were determined and compared to limits recommended by UNSCEAR. Results were within recommended safe ranges, meaning that the area under study is radiologically safe for habitation and that local iron ores are radiologically safe to be used as construction materials.

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“…Srivastava et al (2012) employed INAA and EDXRF techniques to quantify Ca, Na, K, Mn, Co, Cr, Zn, Br, and Sm in kidney stones taken from Indian patients. The same group (Srivastava et al 2014) also applied instrumental neutron activation analysis (INAA), EDXRF and XRD techniques to analyze kidney stones extracted from Indian patients. Particularly, EDXRF was employed to investigate the level of Ca in stones.…”

Section: Studies On Stones Using Ftir Spectroscopymentioning

confidence: 99%

Analysis of stones formed in the human gall bladder and kidney using advanced spectroscopic techniques

Singh¹,

Jaswal²,

Sharma³

et al. 2020

Biophys Rev

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Stone diseases (gallstones and kidney stones) are extremely painful and often cause death. The prime aim of biomedical research in this area has been determination of factors resulting in stone formation inside the gallbladder and urinary tract. Many theories have been put forward to explain the mechanism of stone formation and their growth; however, their complete cycle of pathogenesis is still under debate. Several factors are responsible for stone formation; however, much emphasis is placed on the determination of elemental and molecular composition of the stones. In the present review article, we describe different kinds of spectroscopic techniques such as Fourier transform infrared spectroscopy (FTIR), X-ray fluorescence (XRF) spectroscopy, time-of-flight secondary ion mass spectrometry (TOF-SIMS), and laser-induced breakdown spectroscopy (LIBS) and highlight their use in the analysis of stone diseases. We have summarized work done on gallstones and kidney stones using these advanced techniques particularly over the last 10 years. We have also briefly elaborated the basics of stone formations inside the human body and their complications for a better understanding of the subject.

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Studies of kidney stones using INAA, EDXRF and XRD techniques

Cited by 8 publications

References 10 publications

Neutron activation analysis with a Monte Carlo simulation for kidney stones

Neutron activation analysis with a Monte Carlo simulation for kidney stones

Mineral determination and radiological risk caused by geological formations from Iron Ore in Wadi Sawawin, Duba, Saudi Arabia

Analysis of stones formed in the human gall bladder and kidney using advanced spectroscopic techniques

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