X-ray fluorescence and gamma-ray spectrometry combined with multivariate analysis for topographic studies in agricultural soil

Castilhos, Natara D.B. de; Melquíades, Fábio Luiz; Thomaz, Edivaldo Lopes

doi:10.1016/j.apradiso.2014.09.013

Cited by 16 publications

(10 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, to correlate a great amount of data with these techniques, it is necessary to employ statistical tools, such as Principal Component Multivariate Analysis (PCA) [16]. Nowadays, PCA has been applied to soils and their fractions for studies on organic matter [17], compaction and texture [18], mineralogy and elemental analysis [19,20], resulting in the efficient discrimination of samples that present a large number of variables.…”

Section: Introductionmentioning

confidence: 99%

Can the Granulometric Soil Fractions Attenuate the Radiation Differently from the Whole Soil?

Prandel

Saab

Tonial

et al. 2021

Braz. arch. biol. technol.

View full text Add to dashboard Cite

The purpose of this research was to discriminate soil fractions using mineralogical and elemental analyses and to show those fractions that present greater contribution to the soil mass attenuation coefficient (μ) as well as their partial cross-sections for photoelectric absorption (PA), coherent scattering (CS) and incoherent scattering (IS). Soil samples from different places of Brazil classified as Yellow Argisol, Yellow Latosol and Gray Argisol were submitted to elemental and mineralogical analyses through energy dispersive X-ray fluorescence (EDXRF) and Rietveld Method with X-ray diffraction data (RM-XRD). The mixture rule was utilized to calculate μ of each soil. The EDXRF analysis showed as predominant elements Si, Al, Fe and Ti oxides. The highest contents were Si (914.3 to 981.3 g kg -1 ) in the sand fractions, Al (507.9 to 543.7 g kg -1 ) and Fe (32.5 to 76.7 g kg -1 ) in the clay fractions, and Ti (18.0 to 59.0 g kg -1 ) in the silt fractions. The RM-XRD allowed identifying that the sand fractions are predominantly made of quartz (913.3 to 995.0 g kg -1 ), while the clay greatest portion is made of kaolinite (465.0 to 660.6 g kg -1 ) and halloysite (169.0 to 385.0 g kg -1 ). The main effect responsible for μ was IS (50 to 61.4%) followed by PA (28 to 40.1%) and CS (9.9 to 10.6%). By using the principal component analysis (PC-1: 57.5% and PC-2: 20.9%), the samples were differentiated through the discrimination between physical, chemical and mineralogical properties. The results obtained suggest that general information about the radiation interaction in soils can be obtained through the elemental and mineralogical analyses of their fractions. HIGHLIGHTS Semi-quantitative elemental analysis of the soils was accomplished through EDXRF. The µ, PA, CS and IS of hardsetting soil fractions was calculated by using the XCOM computer code. The mineralogical composition was determined by the RM-XRD. With PCA was possible to discriminate soil fractions and to correlate µ, PA, CS and IS.

show abstract

Section: Introductionmentioning

confidence: 99%

Can the Granulometric Soil Fractions Attenuate the Radiation Differently from the Whole Soil?

Prandel

Saab

Tonial

et al. 2021

Braz. arch. biol. technol.

View full text Add to dashboard Cite

show abstract

“…EDXRF spectrometry is applicable for production quality control, ecological environment monitoring, geological surveying (including the applications of µ-EDXRF), food safety, and heritage analysis, among others [4 , 5] . The method is being used worldwide because of its robustness, fast screening, and the possibility to be used in-situ and with different matrices [6] , [7] , [8] , [9] . The present research aims to describe the method named “ EDXRF for recovering the unknown samples ” being documented or published for the first time.…”

Section: Methods Overviewmentioning

confidence: 99%

Recovering and restitution of unknown, unidentified, and unlabeled samples in laboratories using EDXRF analysis

et al. 2021

View full text Add to dashboard Cite

This Study presents a method to recover and label unknown samples in a nuclear laboratory using Energy Dispersive X-Ray Fluorescence (EDXRF) spectrometry based on spectra differentiation and analysis. This method was found to be a new powerful tool that can be used in different laboratories where a certain number of samples cannot be identified because they have never been identified, their labeling and identification cannot be assessed because of degradation, and/or any other causes. The method was found to be simple, timely appropriate, not expensive, and powerful in identifying and recover the information needed for a sample. The EDXRF spectrometry method for recovering unknown samples in laboratories was based on the following three main points: EDXRF method allows the elemental characterization of any sample without clear identification in a laboratory; The displaying of several samples’ spectra on the same graph allows direct comparison and identification when the sample's data overlap one of the stored data; and The identification of the unknown sample based on the EDXRF results: The faster method being the overlapping comparison while the elemental characterization-based identification needs high skilled expertise in X-ray fluorescence analysis.

show abstract

“…de Castilhos and co-workers 11 obtained the limits of detection of 0.03 and 0.26 ppm for 238 U and 232 Th, respectively. de Castilhos and co-workers 11 obtained the limits of detection of 0.03 and 0.26 ppm for 238 U and 232 Th, respectively.…”

Section: Introductionmentioning

confidence: 95%

Direct determination of uranium and thorium in minerals by time-of-flight mass spectrometry with pulsed glow discharge

et al. 2015

View full text Add to dashboard Cite

A direct method of uranium and thorium determination in non-conducting geological samples using timeof-flight mass spectrometry with pulsed glow discharge was proposed. The following rock specimens were analysed: metamict zircon, metamict rinkite, metamict samarskite (Y-Fe-niobate), pyrochlore and jacinth.For sample sputtering a combined hollow cathode cell of high purity aluminium or tantalum hollow cathodes was used. Powdered or monolith samples were pressed into the surface of the powdered metal prior to analysis. Model samples (artificial mixtures of oxides) were proposed for calibration; additionally, relative sensitivity factors, internal standardisation and standard additions were employed.For validation, IAEA artificially prepared uranium ore reference material was analysed. For additional validation, the obtained results for real mineral samples were compared to the results of inductively coupled plasma optical emission spectrometry after sample dissolution and semi-quantitative data of energy dispersive X-ray spectrometry. Limits of detection (3s) for the designed method were 0.3 ppm for uranium and 0.5 ppm for thorium, which is comparable to laser ablation inductively coupled plasma mass spectrometry. The method was also tested for capability to measure isotope ratios for lead and uranium without specific isotope calibration. Acquired isotopic ratios of uranium and lead corresponded to their natural abundances within the experimental error.

show abstract

X-ray fluorescence and gamma-ray spectrometry combined with multivariate analysis for topographic studies in agricultural soil

Cited by 16 publications

References 34 publications

Can the Granulometric Soil Fractions Attenuate the Radiation Differently from the Whole Soil?

Can the Granulometric Soil Fractions Attenuate the Radiation Differently from the Whole Soil?

Recovering and restitution of unknown, unidentified, and unlabeled samples in laboratories using EDXRF analysis

Direct determination of uranium and thorium in minerals by time-of-flight mass spectrometry with pulsed glow discharge

Contact Info

Product

Resources

About