An innovative approach based on hyperspectral imaging (HSI) combined with chemometrics for soil phytoremediation monitoring

摘要

An innovative approach, based on hyperspectral imaging (HSI) coupled with chemometrics, allowing the detection ofarsenic (As) in the hyper-accumulator fern Pteris Vittata L., is presented in this study. The aim of this work was toinvestigate the possibility of monitoring by HSI the As sequestration capacity of plants grown on As-contaminated soils,in order to perform soil remediation. The proposed approach is based on the acquisition by HSI in the SWIR range(1000-2500 nm) of fern leaves, followed by the implementation of a classification model based on Partial Least SquareDiscriminant Analysis (PLS-DA). Following this procedure, false color maps, representative of the chemical elementsdistribution on the leaves were obtained, where As is clearly detected without performing any chemical analysis. Theproposed approach is not invasive and not destructive. Comparative evaluations were carried out analyzing Pteris VittataL. leaves collected from plants grown on natural soils containing different As concentrations. To evaluate reliability,robustness and analytical correctness of the proposed HSI approach, micro X-ray fluorescence (μXRF) analyses werecarried out on the same samples in order to quantitatively and topologically assess As presence in the leaves of theplants. The achieved results are very promising for monitoring the phytoremediation process by detecting and controllingthe uptake of As plants growing on contaminated soils.