Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis. / Huang, Jing; Bekiaris, Georgios; Fitamo, Temesgen; Scheutz, Charlotte; Bruun, Sander.

In: Science of the Total Environment, Vol. 790, 147959, 2021.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Huang, J, Bekiaris, G, Fitamo, T, Scheutz, C & Bruun, S 2021, 'Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis', Science of the Total Environment, vol. 790, 147959. https://doi.org/10.1016/j.scitotenv.2021.147959

APA

Huang, J., Bekiaris, G., Fitamo, T., Scheutz, C., & Bruun, S. (2021). Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis. Science of the Total Environment, 790, [147959]. https://doi.org/10.1016/j.scitotenv.2021.147959

Vancouver

Huang J, Bekiaris G, Fitamo T, Scheutz C, Bruun S. Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis. Science of the Total Environment. 2021;790. 147959. https://doi.org/10.1016/j.scitotenv.2021.147959

Author

Huang, Jing ; Bekiaris, Georgios ; Fitamo, Temesgen ; Scheutz, Charlotte ; Bruun, Sander. / Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis. In: Science of the Total Environment. 2021 ; Vol. 790.

Bibtex

@article{d9efd208d2f94935b0f79a01882d1df7,
title = "Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis",
abstract = "Biochemical methane potential (BMP) assays are widely used to assess feedsocks in oder to control the process of biogas production. However, the continuous evaluation of feedstocks using a BMP assay is expensive, time-consuming and challenging. In this study, Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was used to predict the BMP values of 87 urban organic waste (UOW) samples derived from different sources in Denmark. The developed model of BMP prediction showed a coefficient of determination (R2) of 0.86 and a root mean square error (RMSE) of 59.3 mL CH4/g VS in prediction. The interpretation of the regression coefficients used in the calibration showed a positive correlation with BMP for relatively easily degradable compounds, such as aliphatics, most likely lipids and amides most likely in proteins, while a negative correlation was found with lignin and hemicellulose.",
keywords = "Anaerobic digestion, Biochemical methane potential (BMP), FTIR-PAS, PLSR modeling, Urban organic waste",
author = "Jing Huang and Georgios Bekiaris and Temesgen Fitamo and Charlotte Scheutz and Sander Bruun",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2021",
doi = "10.1016/j.scitotenv.2021.147959",
language = "English",
volume = "790",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Prediction of biochemical methane potential of urban organic waste using Fourier transform mid-infrared photoacoustic spectroscopy and multivariate analysis

AU - Huang, Jing

AU - Bekiaris, Georgios

AU - Fitamo, Temesgen

AU - Scheutz, Charlotte

AU - Bruun, Sander

N1 - Publisher Copyright: © 2021 Elsevier B.V.

PY - 2021

Y1 - 2021

N2 - Biochemical methane potential (BMP) assays are widely used to assess feedsocks in oder to control the process of biogas production. However, the continuous evaluation of feedstocks using a BMP assay is expensive, time-consuming and challenging. In this study, Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was used to predict the BMP values of 87 urban organic waste (UOW) samples derived from different sources in Denmark. The developed model of BMP prediction showed a coefficient of determination (R2) of 0.86 and a root mean square error (RMSE) of 59.3 mL CH4/g VS in prediction. The interpretation of the regression coefficients used in the calibration showed a positive correlation with BMP for relatively easily degradable compounds, such as aliphatics, most likely lipids and amides most likely in proteins, while a negative correlation was found with lignin and hemicellulose.

AB - Biochemical methane potential (BMP) assays are widely used to assess feedsocks in oder to control the process of biogas production. However, the continuous evaluation of feedstocks using a BMP assay is expensive, time-consuming and challenging. In this study, Fourier transform mid-infrared photoacoustic spectroscopy (FTIR-PAS) was used to predict the BMP values of 87 urban organic waste (UOW) samples derived from different sources in Denmark. The developed model of BMP prediction showed a coefficient of determination (R2) of 0.86 and a root mean square error (RMSE) of 59.3 mL CH4/g VS in prediction. The interpretation of the regression coefficients used in the calibration showed a positive correlation with BMP for relatively easily degradable compounds, such as aliphatics, most likely lipids and amides most likely in proteins, while a negative correlation was found with lignin and hemicellulose.

KW - Anaerobic digestion

KW - Biochemical methane potential (BMP)

KW - FTIR-PAS

KW - PLSR modeling

KW - Urban organic waste

U2 - 10.1016/j.scitotenv.2021.147959

DO - 10.1016/j.scitotenv.2021.147959

M3 - Journal article

C2 - 34102444

AN - SCOPUS:85107313920

VL - 790

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

M1 - 147959

ER -

ID: 276650649