Monitoring the Composting Process of Olive Oil Industry Waste: Benchtop FT-NIR vs. Miniaturized NIR Spectrometer DOI Creative Commons
Marta P. Rueda, Ana Domínguez‐Vidal,

V. Aranda

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 3061 - 3061

Published: Dec. 22, 2024

Miniaturized near-infrared (NIR) spectrometers are revolutionizing the agri-food industry thanks to their compact size and ultra-fast analysis capabilities. This work compares analytical performance of a handheld NIR spectrometer benchtop FT-NIR for determination several parameters, namely, pH, electrical conductivity (EC25), C/N ratio, organic matter as LOI (loss-on-ignition) in compost. Samples were collected at different stages maturity from full-scale facility that processes olive mill semi-solid residue together with tree pruning animal manure. Using an spectrometer, satisfactory predictions (RPD > 2.0) obtained both partial least squares (PLS) support vector machine (SVM) regression, SVM clearly being superior case pH (RMSEP = 0.26; RPD 3.8). The comparison was essentially due extended spectral range, especially pH. In general, when analyzing intact samples miniaturized sample rotation decreased RMSEP values (~20%). Nevertheless, fast simple assessment compost quality reasonable prediction can also be achieved on by averaging static measurements acquired positions.

Language: Английский

Elucidating the Clay-Mediated Fixation Mechanism of Humic Acids in Composting Systems Using Liquid Chromatography-Mass Spectrometry and Spectroscopic Techniques DOI

Bingqi Shen,

Xu Zhang,

Weiye Tao

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Monitoring the Composting Process of Olive Oil Industry Waste: Benchtop FT-NIR vs. Miniaturized NIR Spectrometer DOI Creative Commons
Marta P. Rueda, Ana Domínguez‐Vidal,

V. Aranda

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(12), P. 3061 - 3061

Published: Dec. 22, 2024

Miniaturized near-infrared (NIR) spectrometers are revolutionizing the agri-food industry thanks to their compact size and ultra-fast analysis capabilities. This work compares analytical performance of a handheld NIR spectrometer benchtop FT-NIR for determination several parameters, namely, pH, electrical conductivity (EC25), C/N ratio, organic matter as LOI (loss-on-ignition) in compost. Samples were collected at different stages maturity from full-scale facility that processes olive mill semi-solid residue together with tree pruning animal manure. Using an spectrometer, satisfactory predictions (RPD > 2.0) obtained both partial least squares (PLS) support vector machine (SVM) regression, SVM clearly being superior case pH (RMSEP = 0.26; RPD 3.8). The comparison was essentially due extended spectral range, especially pH. In general, when analyzing intact samples miniaturized sample rotation decreased RMSEP values (~20%). Nevertheless, fast simple assessment compost quality reasonable prediction can also be achieved on by averaging static measurements acquired positions.

Language: Английский

Citations

0