Título : Estimation of phosphorus content and dynamics during composting: Use of near infrared spectroscopy |
Autor : Gálvez-Sola, Luis N. Morales-Socuéllamos, Javier Mayoral, A.M. Marhuenda-Egea, F.C. Martinez-Sabater, E. Pérez Murcia, Mª Dolores  Bustamante, Maria Angeles  Paredes, C. Moral, R. |
Editor : Elsevier |
Departamento: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Fecha de publicación: 2009-10 |
URI : https://hdl.handle.net/11000/34229 |
Resumen :
The content and chemical forms of P in compost are essential variables for its proper management with an agricultural purpose, especially considering the increasing P over-fertilization in agrosystems. In this study, the estimation of P content and dynamics in different composting scenarios was developed using near infrared reflectance spectroscopy (NIRS) coupled with a statistical tool for calibration, a penalized signal regression. Samples were analyzed on total P and partitioned using NaOH-solution 31P NMR spectroscopy quantifying pyrophosphate, orthophosphate, orthophosphate diesters, phospholipids, and orthophosphate monoesters pools. According to the results obtained, total P content (r2 = 0.99 and root mean square error of cross-validation = 0.53) and P forms can be estimated during composting using NIRS, as well as in the mature product, orthophosphate and orthophosphate monoesters being the most abundant P forms throughout the experiment. Penalized signal regression allows detecting the significant wavenumbers in each composting period, and also with the different P pools in the composting pile depending on time.
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Palabras clave/Materias: Compost P forms P NMR spectroscopy NIR spectroscopy Multivariate calibration |
Área de conocimiento : CDU: Ciencias puras y naturales: Generalidades sobre las ciencias puras: Ciencias del medio ambiente |
Tipo de documento : info:eu-repo/semantics/article |
Derechos de acceso: info:eu-repo/semantics/closedAccess |
DOI : https://doi.org/10.1016/j.chemosphere.2009.09.059 |
Aparece en las colecciones: Artículos Estadística, Matemáticas e Informática
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