2020
DOI: 10.3390/s20092509
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Foliar Elemental Analysis of Brazilian Crops via Portable X-ray Fluorescence Spectrometry

Abstract: 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… Show more

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Cited by 23 publications
(9 citation statements)
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“…First, plant samples were oven-dried at 70 • C and finely ground. In 2018, the P concentration was measured using XRF according to the manufacturer's instruction (34). In 2019, the samples were dry-ashed using a muffle furnace at 550 • C for 2 h and then dissolved in 0.5 M HCl.…”
Section: Plant P Concentrationmentioning
confidence: 99%
“…First, plant samples were oven-dried at 70 • C and finely ground. In 2018, the P concentration was measured using XRF according to the manufacturer's instruction (34). In 2019, the samples were dry-ashed using a muffle furnace at 550 • C for 2 h and then dissolved in 0.5 M HCl.…”
Section: Plant P Concentrationmentioning
confidence: 99%
“…8) should have strong potential to correct the effect caused by sample thickness. The strong correlation for Zn was likely due to the robust sensitivity for Zn detection via pXRF and the relatively high Zn concentration in the samples used for calibration 54 . The standardized pXRF As concentrations also decreased with increasing sample mass per unit area with an R 2 value of 0.878 (Fig.…”
Section: Standardized Pxrf Determined Concentrations Versus Sample Ma...mentioning
confidence: 99%
“…A rough calculation shows that those analyses for SOC produced approximately 401.3 kg and 1,433.3 L of toxic residuals per year, which were dumped in the sewerage network (Afonso et al, 2003). Other issues of traditional soil analyses are timeconsuming and not cost-efficient (Fang et al, 2018;Jaconi et al, 2019;Borges et al, 2020).…”
Section: Introductionmentioning
confidence: 99%