Matrix correction with Compton to Rayleigh ratio in a plant–soil–rock interface analysis using a laboratory micro‐XRF

Abstract

Biogeochemistry interface process in a plant–soil (rock) system normally takes a key role in environmental processes. It involves complex mediums relating with complex crucial physical, chemical, and biological interactions. Accurate description of element distribution characteristics in interfaces and combination media is the prerequisite for revealing elements transfer and transformation processes. In situ micro‐X‐ray fluorescence is used here to describe the localizations of elements in a bryophyte–soil–rock interface involving biological (plant) and geological (soil and rock) matrixes. It is shown that matrix effects get great influence on the localization characteristics in this interface. Spectra without matrix corrections shows that Zn, Cu, Fe, Ca, and K reach maximum concentrations in different interface layers. Compton to Rayleigh ratio (Com/Ray), relating with mean atomic number (mean Z) and mass attenuation coefficients, has been applied in matrix correction, whereas other correction methods like multiplied or divided by Com or Ray were compared here too. The results show that the correction method with Ray*Ray/Com is more suitable for describing reasonable Ca, Mn, Fe, Zn, Cu, and Pb localization characteristics in this interface, whereas correction with Ray/Com is better for K. The localization characters after ideal corrections show that K, Ca, Pb, Zn, and Cu reach their maximum peaks at the soil layer in the interface, which are much more reasonable than the results without corrections.

Non-Destructive Micro X-Ray Fluorescence Quantitative Analysis Of Geological Materials

“…19 Shen and coworkers applied Compton to Rayleigh ratio in matrix correction to obtain reasonable relative localization characters for some interested elements (e.g., K, Ca, Mn, Fe, Cu, Zn, and Pb) in a biological-geological interface analysis using µXRF. 40 More recently, Wang and coworkers investigated the matrix effect correction methods of an in situ energy dispersive XRF analysis for different matrix rock samples using Monte Carlo simulations (17 types of rock samples) and experimental verification (10 types of rock samples), in which both Cu and Zn were selected as target elements. A matrix effect correction method was established, which allowed for the fast measurement of the target element contents in different rock samples in one type of rock.…”

Determinação do estado nutricional da soja >i<in situ>/i< por fluorescência de raios X

“…x ̅ j = média da j-ésima coluna dos dados; S j = desvio padrão da coluna O Compton (Rh Kα), normalmente, é utilizado para correção da matriz de amostras, i.e. minimiza o efeito da composição da amostra, quando estas possuem matriz similar (SHEN et al, 2019). No Modelo 2 da Figura 19, a correção pelo compton foi feita através da intensidade Kα de cada elemento, dividida pelo Compton Rh Kα da amostra.…”