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

被引:10
作者
Huang, Jing [1 ]
Bekiaris, Georgios [2 ]
Fitamo, Temesgen [3 ]
Scheutz, Charlotte [3 ]
Bruun, Sander [1 ]
机构
[1] Univ Copenhagen, Dept Plant & Environm Sci, Thorvaldsensvej 40, DK-1871 Frederiksberg, Denmark
[2] Agr Univ Athens, Dept Crop Sci, Iera Odos 75, Athens 11855, Greece
[3] Tech Univ Denmark, Dept Environm Engn, Bldg 115, DK-2800 Lyngby, Denmark
关键词
Anaerobic digestion; Biochemical methane potential (BMP); FTIR-PAS; Urban organic waste; PLSR modeling; INFRARED-SPECTROSCOPY; ENZYMATIC-HYDROLYSIS; CHEMICAL-COMPOSITION; ANAEROBIC-DIGESTION; RAPID-DETERMINATION; FTIR; BIODEGRADABILITY; MATTER; BMP;
D O I
10.1016/j.scitotenv.2021.147959
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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, timeconsuming and challenging. In this study, Fourier transform mid-infrared photoacoustic spectroscopy (FTIRPAS) 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. (c) 2021 Elsevier B.V. All rights reserved. <comment>Superscript/Subscript Available</comment
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页数:6
相关论文
共 28 条
[1]   Defining the biomethane potential (BMP) of solid organic wastes and energy crops: a proposed protocol for batch assays [J].
Angelidaki, I. ;
Alves, M. ;
Bolzonella, D. ;
Borzacconi, L. ;
Campos, J. L. ;
Guwy, A. J. ;
Kalyuzhnyi, S. ;
Jenicek, P. ;
van Lier, J. B. .
WATER SCIENCE AND TECHNOLOGY, 2009, 59 (05) :927-934
[2]   Three different Fourier-transform mid-infrared sampling techniques to characterize bio-organic samples [J].
Bekiaris, Georgios ;
Peltre, Clement ;
Barsberg, Soren T. ;
Bruun, Sander ;
Sorensen, Klavs M. ;
Engelsen, Soren B. ;
Magid, Jakob ;
Hansen, Mette ;
Jensen, Lars S. .
JOURNAL OF ENVIRONMENTAL QUALITY, 2020, 49 (05) :1310-1321
[3]   Rapid estimation of the biochemical methane potential of plant biomasses using Fourier transform mid-infrared photoacoustic spectroscopy [J].
Bekiaris, Georgios ;
Triolo, Jin M. ;
Peltre, Clement ;
Pedersen, Lene ;
Jensen, Lars S. ;
Bruun, Sander .
BIORESOURCE TECHNOLOGY, 2015, 197 :475-481
[4]   FTIR-PAS: A powerful tool for characterising the chemical composition and predicting the labile C fraction of various organic waste products [J].
Bekiaris, Georgios ;
Bruun, Sander ;
Peltre, Clement ;
Houot, Sabine ;
Jensen, Lars S. .
WASTE MANAGEMENT, 2015, 39 :45-56
[5]   Conventional and fourier transform infrared characterization of waste and leachate during municipal solid waste stabilization [J].
Bolyard, Stephanie C. ;
Reinhart, Debra R. ;
Richardson, David .
CHEMOSPHERE, 2019, 227 :34-42
[6]   Characterization of different compost extracts using Fourier-transform infrared spectroscopy (FTIR) and thermal analysis [J].
Carballo, Teresa ;
Gil, Ma Victoria ;
Gomez, Xiomar ;
Gonzalez-Andres, Fernando ;
Moran, Antonio .
BIODEGRADATION, 2008, 19 (06) :815-830
[7]   Predicting the biochemical methane potential of wide range of organic substrates by near infrared spectroscopy [J].
Doublet, J. ;
Boulanger, A. ;
Ponthieux, A. ;
Laroche, C. ;
Poitrenaud, M. ;
Rivero, J. A. Cacho .
BIORESOURCE TECHNOLOGY, 2013, 128 :252-258
[8]   Rapid biochemical methane potential prediction of urban organic waste with near-infrared reflectance spectroscopy [J].
Fitamo, T. ;
Triolo, J. M. ;
Boldrin, A. ;
Scheutz, C. .
WATER RESEARCH, 2017, 119 :242-251
[9]  
George S., 2001, J RAMAN SPECTROSC, VThird
[10]   Biochemical methane potential prediction of plant biomasses: Comparing chemical composition versus near infrared methods and linear versus non-linear models [J].
Godin, Bruno ;
Mayer, Frederic ;
Agneessens, Richard ;
Gerin, Patrick ;
Dardenne, Pierre ;
Delfosse, Philippe ;
Delcarte, Jerome .
BIORESOURCE TECHNOLOGY, 2015, 175 :382-390