Elemental assessment of vegetation via portable X-ray fluorescence (PXRF) spectrometry
| Autor: | David C. Weindorf, Bin Li, Dorina Podar, Candice McGladdery, Bogdan Duda, Laura Paulette, Delaina Pearson, Nana Yaw O. Kusi, Somsubhra Chakraborty |
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| Rok vydání: | 2017 |
| Předmět: |
Environmental Engineering
Coefficient of determination 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences law.invention law Soil Pollutants Waste Management and Disposal 0105 earth and related environmental sciences Romania X-Rays Atomic emission spectroscopy Spectrometry X-Ray Emission 04 agricultural and veterinary sciences General Medicine Vegetation Certified reference materials Elemental analysis Environmental chemistry Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Inductively coupled plasma Atomic absorption spectroscopy Environmental Monitoring |
| Zdroj: | Journal of environmental management. 210 |
| ISSN: | 1095-8630 |
| Popis: | Elemental concentrations in vegetation are of critical importance, whether establishing plant essential element concentrations (toxicity vs. deficiency) or investigating deleterious elements (e.g., heavy metals) differentially extracted from the soil by plants. Traditionally, elemental analysis of vegetation has been facilitated by acid digestion followed by quantification via inductively coupled plasma (ICP) or atomic absorption (AA) spectroscopy. Previous studies have utilized portable X-ray fluorescence (PXRF) spectroscopy to quantify elements in soils, but few have evaluated the vegetation. In this study, a PXRF spectrometer was employed to scan 228 organic material samples (thatch, deciduous leaves, grasses, tree bark, and herbaceous plants) from smelter-impacted areas of Romania, as well as National Institute of Standards and Technology (NIST) certified reference materials, to demonstrate the application of PXRF for elemental determination in vegetation. Samples were scanned in three conditions: as received from the field (moist), oven dry (70 °C), and dried and powdered to pass a 2 mm sieve. Performance metrics of PXRF models relative to ICP atomic emission spectroscopy were developed to asses optimal scanning conditions. Thatch and bark samples showed the highest mean PXRF and ICP concentrations (e.g., Zn, Pb, Cd, Fe), with the exceptions of K and Cl. Validation statistics indicate that the stable validation predictive capacity of PXRF increased in the following order: oven dry intact |
| Databáze: | OpenAIRE |
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