Rapid estimation of the biochemical methane potential of plant biomasses using Fourier transform mid-infrared photoacoustic spectroscopy. (December 2015)

• Record Type: Journal Article
• Authors: Bekiaris, Georgios; Triolo, Jin M.; Peltre, Clément; Pedersen, Lene; Jensen, Lars S.; Bruun, Sander
• Is Part Of: Bioresource technology. Volume 197(2015)
• Page Start: 475
• Page End: 481
• Publication Date: 2015-12
• Subjects: FTIR-photoacoustic spectroscopy -- Biochemical methane potential (BMP) -- Prediction -- Calibration model; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2015.08.050
• Languages: English
• ISSNs: 0960-8524

Abstract

Highlights: Mid-infrared FTIR photoacoustic spectra identified two classes of feedstock. Samples with higher content in lignin and hemicellulose had lower BMP. The prediction of BMP was as efficient as NIR. Positive correlation of easily degradable compounds with BMP was found. Negative correlation of BMP with lignin and hemicellulose was observed. Abstract: Biochemical methane potential (BMP) is a very important characteristic of a given feedstock for optimisation of its use in biogas production. However, the long digestion time needed to determine BMP is the main limitation for the use of this assay during the operation of anaerobic digesters to produce biogas. Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was used to predict the BMP of 87 plant biomasses. The developed calibration model was able to explain 81% of the variance in the measured BMP of a selected test set with a root mean square error (RMSE) of 40 NL CH4 kg −1 of volatile solids (VS) and a ratio of performance to deviation (RPD) of 2.38. The interpretation of the regression coefficients used in the calibration revealed a positive correlation of BMP with easily degradable compounds (amorphous cellulose, hemicellulose and aliphatic compounds) and a negative correlation with inhibitors of cellulose hydrolysis (lignin, hemicellulose).