Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Vis-NIR Reflectance Spectroscopy and PLSR to Predict PCB Content in Severely Contaminated Soils: A Perspective Approach |
| Abstract | : Soil reclamation from polychlorinated biphenyls (PCBs) requires careful analysis in terms of their concentrations and spatial distribution. Conventional laboratory analysis, even if providing the careful evaluation of PCBs, is costly and time-consuming. Therefore, rapid and cost-effective techniques to replace traditional analytical approaches are required. The utility of visible-near infrared (vis-NIR) reflectance spectroscopy in conjunction with partial least square regression (PLSR) analysis was evaluated in this study. Spectral reflectance was measured in the laboratory on 28 soil samples collected in a highly contaminated area of southern Italy and chemically analysed to determine eighteen PCB congeners, their sum (PCBs18), and extractable organic halogen content (EOX). Spectroscopic data were pre-processed prior to data analysis by combining different methods. Using PLSR analysis, significant relationships were observed between the predicted and the measured content of PCBs18, EOX, and the percentage of several isomeric classes of PCBs. Although rigorous models could not be calibrated, due to the limited number of samples, the preliminary results of this study demonstrated that vis-NIR reflectance spectroscopy, coupled with PLSR, can be considered a promising method for a rapid and cost-effective prediction of PCBs. |
| Source | Applied sciences 12 (16) |
| Keywords | polychlorinated biphenyls; soil contamination; reflectance spectroscopy; PLSR |
| Journal | Applied sciences |
| Editor | Molecular Diversity Preservation International, Basel, |
| Year | 2022 |
| Type | Articolo in rivista |
| DOI | 10.3390/app12168283 |
| Authors | Leone N. (1); Ancona V. (1); Galeone C. (1,2); Massarelli C. (1); Uricchio V.F. (1); Leone A.P. (3) |
| Text | 470790 2022 10.3390/app12168283 Scopus 2 s2.0 85136547755 ISI Web of Science WOS 000846329900001 polychlorinated biphenyls; soil contamination; reflectance spectroscopy; PLSR Vis NIR Reflectance Spectroscopy and PLSR to Predict PCB Content in Severely Contaminated Soils A Perspective Approach Leone N. 1 ; Ancona V. 1 ; Galeone C. 1,2 ; Massarelli C. 1 ; Uricchio V.F. 1 ; Leone A.P. 3 1 Water Research Institute, National Research Council IRSA CNR , 70132 Bari, Italy; 2 Department of Biology, University of Bari Aldo Moro, 70126 Bari, Italy; 3 Institute for Mediterranean Agriculture and Forest System, National Research Council ISAFoM CNR , 80055 Portici, Italy. Soil reclamation from polychlorinated biphenyls PCBs requires careful analysis in terms of their concentrations and spatial distribution. Conventional laboratory analysis, even if providing the careful evaluation of PCBs, is costly and time consuming. Therefore, rapid and cost effective techniques to replace traditional analytical approaches are required. The utility of visible near infrared vis NIR reflectance spectroscopy in conjunction with partial least square regression PLSR analysis was evaluated in this study. Spectral reflectance was measured in the laboratory on 28 soil samples collected in a highly contaminated area of southern Italy and chemically analysed to determine eighteen PCB congeners, their sum PCBs18 , and extractable organic halogen content EOX . Spectroscopic data were pre processed prior to data analysis by combining different methods. Using PLSR analysis, significant relationships were observed between the predicted and the measured content of PCBs18, EOX, and the percentage of several isomeric classes of PCBs. Although rigorous models could not be calibrated, due to the limited number of samples, the preliminary results of this study demonstrated that vis NIR reflectance spectroscopy, coupled with PLSR, can be considered a promising method for a rapid and cost effective prediction of PCBs. 12 Published version https //www.mdpi.com/2076 3417/12/16/8283 15/08/2022 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution CC BY license Vis NIR Reflectance Spectroscopy and PLSR to Predict PCB Content in Severely Contaminated Soils A Perspective Approach applsci_12_08283_1_.pdf Articolo in rivista Molecular Diversity Preservation International 2076 3417 Applied sciences Applied sciences Appl. sci. Applied sciences. cirogaleone GALEONE CIRO natalialeone LEONE NATALIA antoniopasquale.leone LEONE ANTONIO PASQUALE vitofelice.uricchio URICCHIO VITO FELICE valeria.ancona ANCONA VALERIA carmine.massarelli MASSARELLI CARMINE |