Determination of trace element concentrations in organic materials of “intermediate-thickness” <i>via</i> portable X-ray fluorescence spectrometry

Zhou, Shubin; Cheng, Qiuming; Weindorf, David C.; Yang, Biying; Yuan, Zheng; Yang, Jie

doi:10.1039/d2ja00213b

Cited by 11 publications

(4 citation statements)

References 54 publications

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“…The sieved soil samples were collected in a homemade sample cup with a diameter of 23 mm and a height of 25 mm [ 42 ]. The sample cup was sealed by polyethylene films (tens of mm, with nearly no compositional interference and high X-ray transmission rate), which have been used in previous studies for protecting the pXRF detection window [ 43 , 44 ]. The sample cup was placed in a test stand and then underwent PXRF analysis (aperture up) using line power at 220 VAC [ 45 ].…”

Section: Methodsmentioning

confidence: 99%

Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost

Fu,

Zhang,

Yuan

et al. 2024

Sensors

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In the study of the inversion of soil multi-species heavy metal element concentrations using hyperspectral techniques, the selection of feature bands is very important. However, interactions among soil elements can lead to redundancy and instability of spectral features. In this study, heavy metal elements (Pb, Zn, Mn, and As) in entisols around a mining area in Harbin, Heilongjiang Province, China, were studied. To optimise the combination of spectral indices and their weights, radar plots of characteristic-band Pearson coefficients (RCBP) were used to screen three-band spectral index combinations of Pb, Zn, Mn, and As elements, while the Catboost algorithm was used to invert the concentrations of each element. The correlations of Fe with the four heavy metals were analysed from both concentration and characteristic band perspectives, while the effect of spectral inversion was further evaluated via spatial analysis. It was found that the regression model for the inversion of the Zn elemental concentration based on the optimised spectral index combinations had the best fit, with R2 = 0.8786 for the test set, followed by Mn (R2 = 0.8576), As (R2 = 0.7916), and Pb (R2 = 0.6022). As far as the characteristic bands are concerned, the best correlations of Fe with the Pb, Zn, Mn and As elements were 0.837, 0.711, 0.542 and 0.303, respectively. The spatial distribution and correlation of the spectral inversion concentrations of the As and Mn elements with the measured concentrations were consistent, and there were some differences in the results for Zn and Pb. Therefore, hyperspectral techniques and analysis of Fe elements have potential applications in the inversion of entisols heavy metal concentrations and can improve the quality monitoring efficiency of these soils.

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Section: Methodsmentioning

confidence: 99%

Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost

Fu,

Zhang,

Yuan

et al. 2024

Sensors

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“…The XRFS analysis of organic samples in which the low- Z elements C, H, N and O predominate generally requires an increased sample mass per unit area (sample thickness) in the sample cup than the analysis of soil and rock samples. Zhou et al 174 developed a mass-correction model for quantification of As, Cu, Fe and Zn in thicker samples of organic materials. When 39 organic materials including animal tissue, fungi and plants were analysed, the measured concentrations decreased with increasing sample thickness in a power-law relationship.…”

Section: Analysis Of Soils Plants and Related Materialsmentioning

confidence: 99%

Atomic spectrometry update – a review of advances in environmental analysis

Bacon,

Butler,

Cairns

et al. 2024

J. Anal. At. Spectrom.

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“…A number of publications have focused on analysis with portable XRF spectrometer devices for a range of applications . Zhou and co-workers 158 investigated the impact of surface thickness for portable XRF spectrometers and developed a model to counteract any matrix effects. A variety of organic samples (fungi, vegetation and animal tissues, n = 39) were selected and analysed for As, Cu, Fe and Zn.…”

Section: Progress With Analytical Techniquesmentioning

confidence: 99%

Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages

Patriarca,

Barlow,

Cross

et al. 2024

J. Anal. At. Spectrom.

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Determination of trace element concentrations in organic materials of “intermediate-thickness” via portable X-ray fluorescence spectrometry

Abstract: This research explored the feasibility of using portable X-ray fluorescence (pXRF) spectrometry to quantify Fe, Cu, Zn, and As concentrations in dried and ground organic materials (fungi, vegetation, and animal...

Cited by 11 publications

References 54 publications

Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost

Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost

Atomic spectrometry update – a review of advances in environmental analysis

Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages

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