Power plant intake quantification of wheat straw composition for 2nd generation bioethanol optimization - A Near Infrared Spectroscopy (NIRS) feasibility study

Bioresource Technology

Volumn 101, Issue 4, 2010, Pages 1199-1205

  Lomborg, Carina J ^a   Thomsen, Mette H ^b   Jensen, Erik Steen ^b,c   Esbensen, Kim H ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^c SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

2nd generation bioethanol; Near Infrared Spectroscopy; Sugar analysis; Theory of sampling; Wheat straw

Indexed keywords

2ND GENERATION BIOETHANOL; ARABINANS; BIO-ETHANOL PRODUCTION; CHEMOMETRIC MULTIVARIATE CALIBRATION; DATA SETS; FEASIBILITY STUDIES; POTENTIAL METHODS; PRE-SELECTED; PREDICTION ACCURACY; SAMPLE PREPARATION; SUGAR ANALYSIS; WHEAT STRAW; WHEAT STRAWS;

BIOETHANOL; CELLULOSE; ETHANOL; GRINDING (COMMINUTION); INFRARED DEVICES; LIGNIN; NEAR INFRARED SPECTROSCOPY; POWER PLANT INTAKES; RESOURCE ALLOCATION; SPECTRUM ANALYSIS; SUGAR (SUCROSE); SUGARS;

INFRARED SPECTROSCOPY;

ALCOHOL; ARABINAN; CELLULOSE; GLUCAN; HEMICELLULOSE; LIGNIN; UNCLASSIFIED DRUG; XYLAN;

ACCURACY ASSESSMENT; BIOFUEL; CELLULOSE; CHEMOSYNTHESIS; ETHANOL; EXPERIMENTAL STUDY; FERMENTATION; LABORATORY METHOD; LIGNIN; NEAR INFRARED; OPTIMIZATION; POWER PLANT; PRECISION; QUANTITATIVE ANALYSIS; REACTION KINETICS; THEORETICAL STUDY; WHEAT;

ACCURACY; ANALYTICAL ERROR; ARTICLE; BIOENERGY; CALIBRATION; CHEMICAL COMPOSITION; FEASIBILITY STUDY; FERMENTATION; NEAR INFRARED SPECTROSCOPY; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; STRAW; WHEAT;

BIOFUELS; CALIBRATION; ETHANOL; FEASIBILITY STUDIES; LEAST-SQUARES ANALYSIS; LIGNIN; MODELS, CHEMICAL; MULTIVARIATE ANALYSIS; ONLINE SYSTEMS; PARTICULATE MATTER; POLYSACCHARIDES; POWER PLANTS; REPRODUCIBILITY OF RESULTS; SPECTROSCOPY, NEAR-INFRARED; TRITICUM; XYLANS;

CELLULOSE; ETHANOL; GRINDING; INFRARED SPECTROSCOPY; LIGNINS; POWER PLANTS; SAMPLING; SUGAR; WHEAT STRAW;

TRITICUM AESTIVUM;

EID: 71049189291     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2009.09.027     Document Type: Article

References (29)

1. Beebe K.R., Pell R.J., and Seascholtz M.B. Chemometrics A Practical Guide (1998), John Wiley & Sons, USA
2. Bjørsvik H.R., and Martens H. Data analysis: calibration of NIR instruments by PLS regression. In: Burns D.A., and Ciurczak E.W. (Eds). Handbook of Near-Infrared Analysis. third ed. (2008), CRC Press, Boca Raton 189
3. Drapcho C.M., Nhuan N.P., and Walker T.H. Biofuels Engineering Process Technology (2008), McGraw Hill, USA
4. Esbensen K.H. Multivariate Analysis in Practice: An Introduction to Multivariate Data Analysis and Experimental Design. fifth ed. (2002), CAMO Press, Norway (Reprint of book from 2001)
5. Esbensen K.H., Friis-Petersen H.H., Petersen L., Holm-Nielsen J.B., and Mortensen P.P. Representative process sampling-in practice: variographic analysis and estimation of total sampling errors (TSE). Chemom. Intell. Lab. Syst. 88 (2006) 41
6. EU Resolution, 2008. Promotion of the use of Energy from renewable energy sources (P6_TA(2008)0609).
7. Faughey G.J., and Sharma H.S.S. A preliminary evaluation of near infrared spectroscopy for assessing physical and chemical characteristics of flax fibre. J. Near Infrared Spectrosc. 8 (2000) 61-69
8. Gy P. Sampling for Analytical Purposes (1998), John Wiley & Sons, Chichester, England
9. Gy P. Part IV: 50 years of sampling theory - a personal history. Chemom. Intell. Lab. Syst. 74 (2004) 49
10. Hames B.R., Thomas S.R., Sluiter A.D., Roth C.J., and Templeton D.W. Rapid biomass analysis, new tools for compositional analysis of corn stover feedstocks and process intermediates from ethanol production. Appl. Biochem. Biotechnol. 105-108 (2003) 5-16
11. Hruschka W.R. Data analysis: wavelength selection methods. In: Williams P., and Norris K. (Eds). Near-infrared Technology in the Agricultural and Food Industries. second ed. (2001), American Association of Cereal Chemistry, Inc., St. Paul, USA 39
12. Jin S., and Chen H. Near-infrared analysis of the chemical composition of rice straw. Indust. Crops Prod. 26 (2007) 207-211
13. Larsen J., Petersen M.Ø., Thirup L., Li H.W., and Iversen F.K. The IBUS process - lignocellulosic bioethanol close to a commercial reality. Chem. Eng. Technol. 31 (2008) 765-772
14. Lomborg, C.J., 2009. Process Analytical Technologies in Applied Biotechnology - biomass conversion, 2nd generation bioethanol & speciality product fermentation. Ph.D. Thesis, Aalborg University, Denmark.
15. Martens H., and Martens M. Modified jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR). Food Qual. Pref. 11 (2000) 5-16
16. Martens H., and Næs T. Multivariate Calibration (1991), Biddles Ltd., Great Britain
17. Miller C.E. In: Bakeev K.A. (Ed). Process Analytical Technology (2005), Blackwell Publishing, UK 226
18. Oliveira L., Evtuguin D.V., Cordeiro N., Silvestre A.J.D., and Soares de Silva A.M. Chemical composition and lignin structural features of banana plant leaf sheath and rachis. In: Hu Q. (Ed). Characterization of Lignocellulosic Materials (2008), Wiley-Blackwell
19. Petersen L., Dahl C.K., and Esbensen K.H. Representative mass reduction in sampling - a critical survey of techniques and hardware. Chemom. Intell. Lab. Syst. 74 (2004) 95-114
20. Petersen L., Minkkinen P., and Esbensen K.M. Representative sampling for reliable data analysis: theory of sampling. Chemom. Intell. Lab. Syst. 77 (2005) 261-277
21. Reeves J.B., Blosser T.H., and Colenbrander V.F. Analysis of silage composition by near infrared reflectance spectroscopy. Opt. Agricul. 1379 (1991) 28-38
22. Richardson A.D., and Reeves III J.B. Quantitative reflectance spectroscopy as an alternative to traditional wet lab analysis of foliar chemistry: near-infrared and mid-infrared calibrations compared. Canadian J. Forest Res. 35 (2005) 1122-1130
23. Savitzky A., and Golay M.J.E. Smoothing and differentiation of data by simplified least squares procedure. Anal. Chem. 36 (1964) 1627-1639
24. Sohn M., Himmelsbach D.S., Barton II F.E., Griffey C.A., Books W., and Hicks K.B. Near-infrared analysis of ground barley for use as a feedstock for fuel ethanol production. Appl. Spectrosc. 61 (2007) 1178-1183
25. Taherzadeh M.J., and Karimi K. Bioethanol: market and production processes. In: Nag A. (Ed). Biofuels Refining and Performance (2008), Mc Graw Hill, USA 76
26. Thomsen M.H., Thygesen A., Jørgensen H., Larsen J., Christensen B.H., and Thomsen A.B. Preliminary results on optimization of pilot scale pretreatment of wheat straw used in coproduction of bioethanol and electricity. Appl. Biochem. Biotechnol. 129-132 (2006) 448-460
27. Westad F., and Martens H. Variable selection in near infrared spectroscopy based on significance testing in partial least squares regression. J. Near Infrared Spectrosc. 8 (2000) 117-124
28. Yang J., Zhang J., Huang Z., Zhu O., and Wang L. Remobilization of carbon reserves is improved by controlled soil-drying. Crop Sci. 40 (2000) 1645-1655
29. Zeaiter M., Roger J.-M., and Bellon-Maurel V. Robustness of models developed by multivariate calibration. Part II: the influence of pre-processing methods. Trends Anal. Chem. 24 (2005) 437-445