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Estimation of phosphorus content and dynamics during composting: Use of near infrared spectroscopy


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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.
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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