Rapid estimation of the biochemical methane potential of plant biomasses using Fourier transform mid-infrared photoacoustic spectroscopy

被引:36
作者
Bekiaris, Georgios [1 ]
Triolo, Jin M. [2 ]
Peltre, Clement [1 ]
Pedersen, Lene [2 ]
Jensen, Lars S. [1 ]
Bruun, Sander [1 ]
机构
[1] Univ Copenhagen, Fac Sci, Dept Plant & Environm Sci, DK-1871 Frederiksberg C, Denmark
[2] Univ Southern Denmark, Inst Chem Engn Biotechnol & Environm Technol, Fac Engn, DK-5230 Odense M, Denmark
关键词
FTIR-photoacoustic spectroscopy; Biochemical methane potential (BMP); Prediction; Calibration model; ENZYMATIC-HYDROLYSIS; CHEMICAL-COMPOSITION; CELLULOSE; FTIR; LIGNIN; WASTES; SOIL;
D O I
10.1016/j.biortech.2015.08.050
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
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). (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:475 / 481
页数:7
相关论文
共 35 条
[21]   INFRARED SPECTRA OF CRYSTALLINE POLYSACCHARIDES .2. NATIVE CELLULOSES IN THE REGION FROM 640 TO 1700 CM.-1 [J].
LIANG, CY ;
MARCHESSAULT, RH .
JOURNAL OF POLYMER SCIENCE, 1959, 39 (135) :269-278
[22]   Near Infrared Spectroscopy as a Screening Tool for Sugar Release and Chemical Composition of Wheat Straw [J].
Lindedam, J. ;
Bruun, S. ;
DeMartini, J. ;
Jorgensen, H. ;
Felby, C. ;
Yang, B. ;
Wyman, C. E. ;
Magid, J. .
JOURNAL OF BIOBASED MATERIALS AND BIOENERGY, 2010, 4 (04) :378-383
[23]   Substrate and enzyme characteristics that limit cellulose hydrolysis [J].
Mansfield, SD ;
Mooney, C ;
Saddler, JN .
BIOTECHNOLOGY PROGRESS, 1999, 15 (05) :804-816
[24]   Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR) [J].
Martens, H ;
Martens, M .
FOOD QUALITY AND PREFERENCE, 2000, 11 (1-2) :5-16
[25]  
McClelland J.F., 2002, HDB VIBRATIONAL SPEC, P1
[26]   Phase behaviour and crystallinity of plant cuticular waxes studied by Fourier transform infrared spectroscopy [J].
Merk S. ;
Blume A. ;
Riederer M. .
Planta, 1997, 204 (1) :44-53
[27]   Effect of hemicellulose and lignin on enzymatic hydrolysis of cellulose from brewer's spent grain [J].
Mussatto, Solange I. ;
Fernandes, Marcela ;
Milagres, Adriane M. F. ;
Roberto, Ines C. .
ENZYME AND MICROBIAL TECHNOLOGY, 2008, 43 (02) :124-129
[28]   FTIR studies of the changes in wood chemistry following decay by brown-rot and white-rot fungi [J].
Pandey, KK ;
Pitman, AJ .
INTERNATIONAL BIODETERIORATION & BIODEGRADATION, 2003, 52 (03) :151-160
[29]   Biodegradation and biological treatments of cellulose, hemicellulose and lignin: An overview [J].
Pérez J. ;
Muñoz-Dorado J. ;
De La Rubia T. ;
Martínez J. .
International Microbiology, 2002, 5 (2) :53-63
[30]   SMOOTHING + DIFFERENTIATION OF DATA BY SIMPLIFIED LEAST SQUARES PROCEDURES [J].
SAVITZKY, A ;
GOLAY, MJE .
ANALYTICAL CHEMISTRY, 1964, 36 (08) :1627-&