Estimation of parameters in sewage sludge by near-infrared reflectance spectroscopy (NIRS) using several regression tools

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Title: Estimation of parameters in sewage sludge by near-infrared reflectance spectroscopy (NIRS) using several regression tools
Authors: Gálvez Sola, Luis | Morales, Javier | Mayoral, Asunción M. | Paredes, Concepción | Bustamante, María A. | Marhuenda Egea, Frutos Carlos | Barber, J. Xavier | Moral, Raúl
Research Group/s: Grupo de Fotoquímica y Electroquímica de Semiconductores (GFES)
Center, Department or Service: Universidad de Alicante. Departamento de Agroquímica y Bioquímica
Keywords: NIRS | Biosolids | Partial least square regression (PLSR) | Penalized signal regression (PSR) | Chemical properties | Heavy metals
Knowledge Area: Bioquímica y Biología Molecular
Issue Date: 15-Jun-2013
Publisher: Elsevier
Citation: Talanta. 2013, 110: 81-88. doi:10.1016/j.talanta.2013.02.009
Abstract: Sewage sludge application to agricultural soils is a common practice in several countries in the European Union. Nevertheless, the application dose constitutes an essential aspect that must be taken into account in order to minimize environmental impacts. In this study, near infrared reflectance spectroscopy (NIRS) was used to estimate in sewage sludge samples several parameters related to agronomic and environmental issues, such as the contents in organic matter, nitrogen and other nutrients, metals and carbon fractions, among others. In our study (using 380 biosolid samples), two regression models were fitted: the common partial least square regression (PLSR) and the penalized signal regression (PSR). Using PLSR, NIRS became a feasible tool to estimate several parameters with good goodness of fit, such as total organic matter, total organic carbon, total nitrogen, water-soluble carbon, extractable organic carbon, fulvic acid-like carbon, electrical conductivity, Mg, Fe and Cr, among other parameters, in sewage sludge samples. For parameters such as C/N ratio, humic acid-like carbon, humification index, the percentage of humic acid-like carbon, the polymerization ratio, P, K, Cu, Pb, Zn, Ni and Hg, the performance of NIRS calibrations developed with PLSR was not sufficiently good. Nevertheless, the use of PSR provided successful calibrations for all parameters.
Sponsor: This work has been financed by the Ministerio de Ciencia e Innovación (currently Economía y Competitividad) of Spain and European Regional Development Funds (FEDER, “Una manera de hacer Europa”) (Project AGL2009-12371-C02-01) and also by the Generalitat Valenciana (ACOMP/2010/177).
ISSN: 0039-9140 (Print) | 1873-3573 (Online)
DOI: 10.1016/j.talanta.2013.02.009
Language: eng
Type: info:eu-repo/semantics/article
Peer Review: si
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Appears in Collections:INV - GFES - Artículos de Revistas

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