Monitoring the Composting Process of Olive Oil Industry Waste: Benchtop FT-NIR vs. Miniaturized NIR Spectrometer

Miniaturized near-infrared (NIR) spectrometers are revolutionizing the agrifood industry thanks to their compact size and ultra-fast analysis capabilities. This work compares the analytical performance of a handheld NIR spectrometer and a benchtop FTNIR for the determination of several parameters, n...

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Detalles Bibliográficos
Autores: Peña-Rueda, Marta, Domínguez-Vidal, Ana, Aranda, Víctor, Ayora-Cañada, María José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/6903
Acceso en línea:https://doi.org/10.3390/agronomy14123061
https://hdl.handle.net/10953/6903
Access Level:acceso abierto
Palabra clave:olive mill waste
compost
FT-NIR
handheld NIR spectrometer
support vector machine regression
partial least squares regression
Química de Suelos (2511.04)
Descripción
Sumario:Miniaturized near-infrared (NIR) spectrometers are revolutionizing the agrifood industry thanks to their compact size and ultra-fast analysis capabilities. This work compares the analytical performance of a handheld NIR spectrometer and a benchtop FTNIR for the determination of several parameters, namely, pH, electrical conductivity (EC25), C/N ratio, and organic matter as LOI (loss-on-ignition) in compost. Samples were collected at different stages of maturity from a full-scale facility that processes olive mill semi-solid residue together with olive tree pruning residue and animal manure. Using an FT-NIR spectrometer, satisfactory predictions (RPD > 2.0) were obtained with both partial least squares (PLS) and support vector machine (SVM) regression, SVM clearly being superior in the case of pH (RMSEP = 0.26; RPD = 3.8). The superior performance of the FTNIR spectrometer in comparison with the handheld spectrometer was essentially due to the extended spectral range, especially for pH. In general, when analyzing intact samples with the miniaturized spectrometer, sample rotation decreased RMSEP values (~20%). Nevertheless, a fast and simple assessment of compost quality with reasonable prediction performance can also be achieved on intact samples by averaging static measurements acquired at different sample positions.