Rapid quantification of lignite sulfur content: Combining optical and X-ray approaches

Kagiliery, Julia; Chakraborty, Somsubhra; Acree, Autumn; Weindorf, David C.; Brevik, Eric C.; Jelinski, Nicolas A.; Li, Bin; Jordan, Cynthia

doi:10.1016/j.coal.2019.103336

Cited by 19 publications

(5 citation statements)

References 26 publications

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“…The samples were dried at 20 °C until at constant weight, then ground to fine powder with an agate mortar and a pestle. Samples were massed to infinite thickness on a Prolene thin film placed directly over the instrument aperture mounted in a portable test stand configuration [ 64 ]. The instrument was initialized with a 316 stainless steel alloy and operated on line power (115 VAC) at 10–40 keV for 45 s/beam in Geochem Mode .…”

Section: Methodsmentioning

confidence: 99%

Heavy Metal-Resistant Filamentous Fungi as Potential Mercury Bioremediators

Văcar

Covaci

Chakraborty

et al. 2021

JoF

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Filamentous fungi native to heavy metals (HMs) contaminated sites have great potential for bioremediation, yet are still often underexploited. This research aimed to assess the HMs resistance and Hg remediation capacity of fungi isolated from the rhizosphere of plants resident on highly Hg-contaminated substrate. Analysis of Hg, Pb, Cu, Zn, and Cd concentrations by X-ray spectrometry generated the ecological risk of the rhizosphere soil. A total of 32 HM-resistant fungal isolates were molecularly identified. Their resistance spectrum for the investigated elements was characterized by tolerance indices (TIs) and minimum inhibitory concentrations (MICs). Clustering analysis of TIs was coupled with isolates’ phylogeny to evaluate HMs resistance patterns. The bioremediation potential of five isolates’ live biomasses, in 100 mg/L Hg2+ aqueous solution over 48 h at 120 r/min, was quantified by atomic absorption spectrometry. New species or genera that were previously unrelated to Hg-contaminated substrates were identified. Ascomycota representatives were common, diverse, and exhibited varied HMs resistance spectra, especially towards the elements with ecological risk, in contrast to Mucoromycota-recovered isolates. HMs resistance patterns were similar within phylogenetically related clades, although isolate specific resistance occurred. Cladosporium sp., Didymella glomerata, Fusarium oxysporum, Phoma costaricensis, and Sarocladium kiliense isolates displayed very high MIC (mg/L) for Hg (140–200), in addition to Pb (1568), Cu (381), Zn (2092–2353), or Cd (337). The Hg biosorption capacity of these highly Hg-resistant species ranged from 33.8 to 54.9 mg/g dry weight, with a removal capacity from 47% to 97%. Thus, the fungi identified herein showed great potential as bioremediators for highly Hg-contaminated aqueous substrates.

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Section: Methodsmentioning

confidence: 99%

Heavy Metal-Resistant Filamentous Fungi as Potential Mercury Bioremediators

Văcar

Covaci

Chakraborty

et al. 2021

JoF

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“…Morgan et al (Morgan et al, 2009) used the last ones for the forecast of SOC in their works. The combined use of XRF and NixPro, described in a number of works (Morgan et al, 2009;Kagiliery et al, 2019;, makes it possible to obtain a model with an accuracy of R 2 = 0.81. In general, the authors conclude that NixPro in combination with additional soil predictors -texture, clay content, etc., is a fairly reliable tool in addressing the above issues (Zhu et al, 2011;Swetha R. K. & Chakraborty, 2021).…”

Section: Discussionmentioning

confidence: 99%

Use of visual-diagnostic color parameters of soils and optical reflectometry for determination of organic carbon content

Herts¹,

Khomenchuk²,

Kononchuk³

et al. 2022

Journ. Geol., Geogr., and Geoec..

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To get additional tools for the assessment of carbon sequestration, along with the visual assessment of soil coloration with the applying of A. H. Munsell’s atlas, the analysis of color and spectral characteristics of soil using portable colorimeter NixPro and reflectometer Our Sci Reflectometer was carried out in this study. Elemental analysis of soil samples using X-ray fluorescence analysis was performed and the content of organic carbon was estimated. The spectral range of reflected light, which correlates most with the content of organic soil substance, was singled out. Based on the data, received by methods of reflectometry and colorimetry, prognostic regression models were constructed. A multiple linear regression equation with a statistically authentic luminosity predictor (L*) (R2=0.61) was obtained. It allows describing the link between the content of the organic substance in the studied soils and the parameters of the color setting system CIELab, as well as the equation describing 69 % of the data link dispersion between the integrated reflection coefficient and the organic carbon content of the soil. The link between the integral reflection coefficient and the total organic substance content was found. The most correlated spectral range with the content of organic substance – 500–632 nm was singled out. Regression models, which were based exclusively on the spectral data of pre-treated H2O2 soils, increased their predictability by 8–10 %. Approaches that can complement the tools for rapid determination of the organic carbon content in the soil were presented in the work. Researchers are expanding their arsenal of technical support for estimation of color or spectral coefficients of light reflection, based on which it is possible to conduct geospatial analysis and determine the content of the organic substance in low-humus soils with a probability of 69 %.

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“…For in-field applications, further studies are still needed to assess the other factors that can influence the pXRF results, such as water content, anatomy of leaves, cellulose, and lignin contents. Additionally, the nutritional status should be assessed combining pXRF with other proximal sensors (e.g., Vis-NIR, NixPro), as such techniques have been proven to enhance predictive models in coal and soils [68,69]. Especially for crops in which foliar fertilization is necessary, the pXRF can be a useful tool for decision-making.…”

Section: Correlation Between Pxrf and Ad For Each Cropmentioning

confidence: 99%

Foliar Elemental Analysis of Brazilian Crops via Portable X-ray Fluorescence Spectrometry

Borges

Weindorf

Carvalho

et al. 2020

Sensors

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Foliar analysis is very important for the nutritional management of crops and as a supplemental parameter for soil fertilizer recommendation. The elemental composition of plants is traditionally obtained by laboratory-based methods after acid digestion of ground and sieved leaf samples. This analysis is time-consuming and generates toxic waste. By comparison, portable X-ray fluorescence (pXRF) spectrometry is a promising technology for rapid characterization of plants, eliminating such constraints. This worked aimed to assess the pXRF performance for elemental quantification of leaf samples from important Brazilian crops. For that, 614 samples from 28 plant species were collected across different regions of Brazil. Ground and sieved samples were analyzed after acid digestion (AD), followed by quantification via inductively coupled plasma optical emission spectroscopy (ICP-OES) to determine the concentration of macronutrients (P, K, Ca, Mg, and S) and micronutrients (Fe, Zn, Mn, and Cu). The same plant nutrients were directly analyzed on ground leaf samples via pXRF. Four certified reference materials (CRMs) for plants were used for quality assurance control. Except for Mg, a very strong correlation was observed between pXRF and AD for all plant-nutrients and crops. The relationship between methods was nutrient- and crop-dependent. In particular, eucalyptus displayed optimal correlations for all elements, except for Mg. Opposite to eucalyptus, sugarcane showed the worst correlations for all the evaluated elements, except for S, which had a very strong correlation coefficient. Results demonstrate that for many crops, pXRF can reasonably quantify the concentration of macro- and micronutrients on ground and sieved leaf samples. Undoubtedly, this will contribute to enhance crop management strategies concomitant with increasing food quality and food security.

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Rapid quantification of lignite sulfur content: Combining optical and X-ray approaches

Cited by 19 publications

References 26 publications

Heavy Metal-Resistant Filamentous Fungi as Potential Mercury Bioremediators

Heavy Metal-Resistant Filamentous Fungi as Potential Mercury Bioremediators

Use of visual-diagnostic color parameters of soils and optical reflectometry for determination of organic carbon content

Foliar Elemental Analysis of Brazilian Crops via Portable X-ray Fluorescence Spectrometry

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