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

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 deve...

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Bibliographic Details
Published in:Chemosphere (Oxford) 2010, Vol.78 (1), p.13-21
Main Authors: Galvez-Sola, L., Morales, J., Mayoral, A.M., Marhuenda-Egea, F.C., Martinez-Sabater, E., Perez-Murcia, M.D., Bustamante, M.A., Paredes, C., Moral, R.
Format: Article
Language:English
Subjects:
31P NMR spectroscopy
Agriculture
Compost
composting
food processing wastes
grape pomace
grape stems
grapes
Magnetic Resonance Spectroscopy
Multivariate calibration
near-infrared spectroscopy
NIR spectroscopy
nutrient content
organophosphorus compounds
P forms
phosphates
Phosphates - analysis
phospholipids
phosphorus
Phosphorus - analysis
Phosphorus - chemistry
plant residues
Regression Analysis
Soil
Spectroscopy, Near-Infrared - methods
winemaking
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Summary: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 ( r 2 = 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.
ISSN:0045-6535
1879-1298
DOI:10.1016/j.chemosphere.2009.09.059