메뉴 건너뛰기




Volumn 117, Issue , 2014, Pages 194-201

Use of NIRS to predict composition and bioethanol yield from cell wall structural components of sweet sorghum biomass

Author keywords

Biofuel; Cellulose; Lignin; Multivariate analytical validation; Near infrared spectroscopy; Saccharine sorghum

Indexed keywords


EID: 84904401094     PISSN: 0026265X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.microc.2014.06.029     Document Type: Article
Times cited : (35)

References (43)
  • 1
    • 79960375267 scopus 로고    scopus 로고
    • How to ensure greenhouse gas emission reductions by increasing the use of biofuels? - Suitability of the European Union sustainability criteria
    • Soimakallio S., Koponen K. How to ensure greenhouse gas emission reductions by increasing the use of biofuels? - Suitability of the European Union sustainability criteria. Biomass Bioenergy 2011, 35:3504-3513.
    • (2011) Biomass Bioenergy , vol.35 , pp. 3504-3513
    • Soimakallio, S.1    Koponen, K.2
  • 2
    • 39649109238 scopus 로고    scopus 로고
    • Biofuels in Brazil: an overview
    • Nass L.L., Pereira P.P.A., Ellis D. Biofuels in Brazil: an overview. Crop Sci. 2007, 47:2228-2237.
    • (2007) Crop Sci. , vol.47 , pp. 2228-2237
    • Nass, L.L.1    Pereira, P.P.A.2    Ellis, D.3
  • 6
    • 85027952469 scopus 로고    scopus 로고
    • Trends in bioconversion of lignocellulose: biofuels, platform chemicals & biorefinery concept
    • Menon V., Rao M. Trends in bioconversion of lignocellulose: biofuels, platform chemicals & biorefinery concept. Prog. Energy Combust. Sci. 2012, 38:522-550.
    • (2012) Prog. Energy Combust. Sci. , vol.38 , pp. 522-550
    • Menon, V.1    Rao, M.2
  • 8
    • 58749111053 scopus 로고    scopus 로고
    • Biomass yield and changes in chemical composition of sweet sorghum cultivars grown for biofuel
    • Zhao Y.L., Dolat A., Steinberger Y., Wang X., Osman A., Xie G.H. Biomass yield and changes in chemical composition of sweet sorghum cultivars grown for biofuel. Field Crop Res. 2009, 111:55-64.
    • (2009) Field Crop Res. , vol.111 , pp. 55-64
    • Zhao, Y.L.1    Dolat, A.2    Steinberger, Y.3    Wang, X.4    Osman, A.5    Xie, G.H.6
  • 10
  • 11
    • 84878724916 scopus 로고    scopus 로고
    • Ethanol production potential of sweet sorghum assessed using forage fiber analysis procedures
    • Han K.J., Pitman W.D., Kim M., Day D.F., Alison M.W., McCormick M.E., Aita G. Ethanol production potential of sweet sorghum assessed using forage fiber analysis procedures. GCB Bioenergy 2013, 5:358-366.
    • (2013) GCB Bioenergy , vol.5 , pp. 358-366
    • Han, K.J.1    Pitman, W.D.2    Kim, M.3    Day, D.F.4    Alison, M.W.5    McCormick, M.E.6    Aita, G.7
  • 12
    • 67449096894 scopus 로고    scopus 로고
    • Sweet sorghum as feedstock for ethanol production: enzymatic hydrolysis of steam-pretreated bagasse
    • Balint S., Reczey J., Somorai Z., Kadar Z., Dienes D., Reczey K. Sweet sorghum as feedstock for ethanol production: enzymatic hydrolysis of steam-pretreated bagasse. Appl. Biochem. Biotechnol. 2009, 153:151-162.
    • (2009) Appl. Biochem. Biotechnol. , vol.153 , pp. 151-162
    • Balint, S.1    Reczey, J.2    Somorai, Z.3    Kadar, Z.4    Dienes, D.5    Reczey, K.6
  • 13
    • 79959315358 scopus 로고    scopus 로고
    • Bioethanol production from sweet sorghum bagasse by Mucor hiemalis
    • Goshadrou A., Karimi K., Taherzadeh M.J. Bioethanol production from sweet sorghum bagasse by Mucor hiemalis. Ind. Crop. Prod. 2011, 34:1219-1225.
    • (2011) Ind. Crop. Prod. , vol.34 , pp. 1219-1225
    • Goshadrou, A.1    Karimi, K.2    Taherzadeh, M.J.3
  • 14
    • 79961183586 scopus 로고    scopus 로고
    • Near-infrared analysis of sweet sorghum bagasse
    • Roberts C.A., Houx J.H., Fritschi F.B. Near-infrared analysis of sweet sorghum bagasse. Crop Sci. 2011, 51:2284-2288.
    • (2011) Crop Sci. , vol.51 , pp. 2284-2288
    • Roberts, C.A.1    Houx, J.H.2    Fritschi, F.B.3
  • 15
    • 63549104722 scopus 로고    scopus 로고
    • Forage quality and composition measurements as predictors of ethanol yield from maize (Zea mays L.) stover
    • Lorenz A.J., Anex R.P., Isci A., Coors J.G., de Leon N., Weimer P.J. Forage quality and composition measurements as predictors of ethanol yield from maize (Zea mays L.) stover. Biotechnol. Biofuels 2009, 2:1-8.
    • (2009) Biotechnol. Biofuels , vol.2 , pp. 1-8
    • Lorenz, A.J.1    Anex, R.P.2    Isci, A.3    Coors, J.G.4    de Leon, N.5    Weimer, P.J.6
  • 17
    • 57149105906 scopus 로고    scopus 로고
    • Genetic improvement of sorghum as a biofuel feedstock: II. QTL for stem and leaf structural carbohydrates
    • Murray S.C., Rooney W.L., Mitchell S.E., Sharma A., Klein P.E., Mullet J.E., Kresovich S. Genetic improvement of sorghum as a biofuel feedstock: II. QTL for stem and leaf structural carbohydrates. Crop Sci. 2008, 48:2180-2193.
    • (2008) Crop Sci. , vol.48 , pp. 2180-2193
    • Murray, S.C.1    Rooney, W.L.2    Mitchell, S.E.3    Sharma, A.4    Klein, P.E.5    Mullet, J.E.6    Kresovich, S.7
  • 18
    • 77956505312 scopus 로고    scopus 로고
    • Compositional analysis of lignocellulosic feedstocks. 1. Review and description of methods
    • Sluiter J.B., Ruiz R.O., Scarlata C.J., Sluiter A.D., Templeton D.W. Compositional analysis of lignocellulosic feedstocks. 1. Review and description of methods. J. Agric. Food Chem. 2010, 58:9042-9053.
    • (2010) J. Agric. Food Chem. , vol.58 , pp. 9042-9053
    • Sluiter, J.B.1    Ruiz, R.O.2    Scarlata, C.J.3    Sluiter, A.D.4    Templeton, D.W.5
  • 19
    • 0037847612 scopus 로고    scopus 로고
    • Rapid biomass analysis - new tools for compositional analysis of corn stover feedstocks and process intermediates from ethanol production
    • Hames B.R., Thomas S.R., Sluiter A.D., Roth C.J., Templeton D.W. Rapid biomass analysis - new tools for compositional analysis of corn stover feedstocks and process intermediates from ethanol production. Appl. Biochem. Biotechnol. 2003, 105:5-16.
    • (2003) Appl. Biochem. Biotechnol. , vol.105 , pp. 5-16
    • Hames, B.R.1    Thomas, S.R.2    Sluiter, A.D.3    Roth, C.J.4    Templeton, D.W.5
  • 20
    • 84871982986 scopus 로고    scopus 로고
    • Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: a mini-review
    • Xu F., Yu J., Tesso T., Dowell F., Wang D. Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: a mini-review. Appl. Energy 2013, 104:801-809.
    • (2013) Appl. Energy , vol.104 , pp. 801-809
    • Xu, F.1    Yu, J.2    Tesso, T.3    Dowell, F.4    Wang, D.5
  • 21
  • 22
    • 78650803176 scopus 로고    scopus 로고
    • A rapid and sensitive method for the evaluation of cereal grains in bioethanol production using near infrared reflectance spectroscopy
    • Pohl F., Senn T. A rapid and sensitive method for the evaluation of cereal grains in bioethanol production using near infrared reflectance spectroscopy. Bioresour. Technol. 2011, 102:2834-2841.
    • (2011) Bioresour. Technol. , vol.102 , pp. 2834-2841
    • Pohl, F.1    Senn, T.2
  • 24
    • 84861345572 scopus 로고    scopus 로고
    • Prediction of the ethanol yield of dry-grind maize grain using near infrared spectroscopy
    • Hao X., Thelen K., Gao J. Prediction of the ethanol yield of dry-grind maize grain using near infrared spectroscopy. Biosyst. Eng. 2012, 112:161-170.
    • (2012) Biosyst. Eng. , vol.112 , pp. 161-170
    • Hao, X.1    Thelen, K.2    Gao, J.3
  • 26
    • 69249171029 scopus 로고    scopus 로고
    • State of the art of figures of merit in multivariate calibration
    • Valderrama P., Braga J.W.B., Poppi R.J. State of the art of figures of merit in multivariate calibration. Quim. Nova 2009, 32:1278-1287.
    • (2009) Quim. Nova , vol.32 , pp. 1278-1287
    • Valderrama, P.1    Braga, J.W.B.2    Poppi, R.J.3
  • 27
    • 35449008441 scopus 로고    scopus 로고
    • Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy
    • Valderrama P., Braga J.W.B., Poppi R.J. Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy. J. Agric. Food Chem. 2007, 55:8331-8338.
    • (2007) J. Agric. Food Chem. , vol.55 , pp. 8331-8338
    • Valderrama, P.1    Braga, J.W.B.2    Poppi, R.J.3
  • 28
    • 84856364379 scopus 로고    scopus 로고
    • Development and analytical validation of a multivariate calibration method for determination of amoxicillin in suspension formulations by near infrared spectroscopy
    • Silva M.A.M., Ferreira M.H., Braga J.W.B., Sena M.M. Development and analytical validation of a multivariate calibration method for determination of amoxicillin in suspension formulations by near infrared spectroscopy. Talanta 2012, 89:342-351.
    • (2012) Talanta , vol.89 , pp. 342-351
    • Silva, M.A.M.1    Ferreira, M.H.2    Braga, J.W.B.3    Sena, M.M.4
  • 29
    • 84876089972 scopus 로고    scopus 로고
    • Development and validation of a chemometric method for direct determination of hydrochlorothiazide in pharmaceutical samples by diffuse reflectance near infrared spectroscopy
    • Ferreira M.H., Braga J.W.B., Sena M.M. Development and validation of a chemometric method for direct determination of hydrochlorothiazide in pharmaceutical samples by diffuse reflectance near infrared spectroscopy. Microchem. J. 2013, 109:158-164.
    • (2013) Microchem. J. , vol.109 , pp. 158-164
    • Ferreira, M.H.1    Braga, J.W.B.2    Sena, M.M.3
  • 30
    • 84876983277 scopus 로고    scopus 로고
    • Development and analytical validation of robust near-infrared multivariate calibration models for the quality inspection control of mozzarella cheese
    • Botelho B.G., Mendes B.A.P., Sena M.S. Development and analytical validation of robust near-infrared multivariate calibration models for the quality inspection control of mozzarella cheese. Food Anal. Methods 2013, 6:881-891.
    • (2013) Food Anal. Methods , vol.6 , pp. 881-891
    • Botelho, B.G.1    Mendes, B.A.P.2    Sena, M.S.3
  • 32
    • 26844478214 scopus 로고    scopus 로고
    • A procedure to assess linearity by ordinary least squares method
    • Souza S.V.C., Junqueira R.G. A procedure to assess linearity by ordinary least squares method. Anal. Chim. Acta. 2005, 552:25-35.
    • (2005) Anal. Chim. Acta. , vol.552 , pp. 25-35
    • Souza, S.V.C.1    Junqueira, R.G.2
  • 34
    • 84904395835 scopus 로고    scopus 로고
    • Ankom Technology
    • (accessed in November 2013)
    • Ankom Technology (accessed in November 2013). http://www.ankom.com/procedures.aspx.
  • 35
    • 84880183612 scopus 로고    scopus 로고
    • A near infrared spectroscopy study of the structural modifications of lime (Tilia cordata Mill.) wood during hydro-thermal treatment
    • Popescu C.M., Popescu M.C. A near infrared spectroscopy study of the structural modifications of lime (Tilia cordata Mill.) wood during hydro-thermal treatment. Spectrochim. Acta A 2013, 115:227-233.
    • (2013) Spectrochim. Acta A , vol.115 , pp. 227-233
    • Popescu, C.M.1    Popescu, M.C.2
  • 37
    • 84894887900 scopus 로고
    • Computer aided design of experiments
    • Kennard R.W., Stone L.A. Computer aided design of experiments. Technometrics 1969, 11:137-148.
    • (1969) Technometrics , vol.11 , pp. 137-148
    • Kennard, R.W.1    Stone, L.A.2
  • 38
    • 0024701578 scopus 로고
    • Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra
    • Barnes R.J., Dhanoa M.S., Lister S.J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl. Spectrosc. 1989, 43:772-777.
    • (1989) Appl. Spectrosc. , vol.43 , pp. 772-777
    • Barnes, R.J.1    Dhanoa, M.S.2    Lister, S.J.3
  • 39
    • 63049100737 scopus 로고    scopus 로고
    • Critical factors limiting the interpretation of regression vectors in multivariate calibration
    • Brown C.D., Green R.L. Critical factors limiting the interpretation of regression vectors in multivariate calibration. TrAC Trends Anal. Chem. 2009, 28:506-514.
    • (2009) TrAC Trends Anal. Chem. , vol.28 , pp. 506-514
    • Brown, C.D.1    Green, R.L.2
  • 40
    • 84904405154 scopus 로고    scopus 로고
    • Secretaria de Defesa Agropecuária
    • Ministério da Agricultura Pecuária e Abastecimento (MAPA)(Brazil)
    • Ministério da Agricultura Pecuária e Abastecimento (MAPA) Secretaria de Defesa Agropecuária. Instrução Normativa No 24 2009, (Brazil).
    • (2009) Instrução Normativa No 24
  • 41
    • 84904098870 scopus 로고
    • Protocol for the design, conduct and interpretation of method-performance studies: Revised 1994
    • Horwitz W. Protocol for the design, conduct and interpretation of method-performance studies: Revised 1994. Pure Appl. Chem. 1995, 67:331-343.
    • (1995) Pure Appl. Chem. , vol.67 , pp. 331-343
    • Horwitz, W.1
  • 42
    • 84876735815 scopus 로고    scopus 로고
    • Ministério da Agricultura Pecuária e Abastecimento (MAPA)Manual da Garantia da Qualidade, Brasília, Brazil
    • Ministério da Agricultura Pecuária e Abastecimento (MAPA) Secretaria de Defesa Agropecuária 2011, Manual da Garantia da Qualidade, Brasília, Brazil.
    • (2011) Secretaria de Defesa Agropecuária
  • 43
    • 0001392735 scopus 로고    scopus 로고
    • Implementation of near-infrared technology
    • American Association of Cereal Chemists Inc., St. Paul, USA, P. Williams, K. Norris (Eds.)
    • Williams P. Implementation of near-infrared technology. Near-Infrared Technology in the Agricultural and Food Industries 2001, American Association of Cereal Chemists Inc., St. Paul, USA. 2nd ed. P. Williams, K. Norris (Eds.).
    • (2001) Near-Infrared Technology in the Agricultural and Food Industries
    • Williams, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.