Near-infrared spectroscopic analysis for rapid evaluation of major chemical components in sugarcane bagasse

Main Article Content

S. Kasemsumran
S. Jungtheerapanich
K. Ngowsuwan
W. Thanapase
S. Miyata

Abstract

In this study, near-infrared (NIR) spectroscopy was employed to determine cellulose in terms of glucan, hemicellulose in terms of xylan, and lignin contents in sugarcane bagasse as biomass for energy purpose utilization. We investigated by using three sample groups which were consisting of (A) twenty simulated samples prepared by mixing cellulose, hemicellulose, and lignin standards in many ratios to expand the range of contents for these analyses, (B) forty-seven sugarcane bagasse samples of wild species of Saccharum spontaneum and Erianthus, and their hybrids obtained from Khon Kaen Field Crops Research Center, and (C) seventy sugarcane bagasse samples collected from various sugar factories in Thailand. All samples were measured in the NIR region of 1,100–2,500 nm using reflectance mode. Partial least square (PLS) regression models for the quantitative determination of glucan, xylan, and lignin contents in sugarcane bagasse samples were calculated from data of NIR spectra and of analyzed contents detected by reference methods. The best PLS calibration models for cellulose (correlation coefficient (R) = 0.94, standard error of prediction (SEP) = 4.31%), xylan (R = 0.88, SEP = 1.50%), and lignin (R = 0.94, SEP = 2.08%) in sugarcane bagasse samples obtained from the model using actual bagasse samples, in which they developed from multiplicative scattering correction, second derivative, and second derivative pretreated NIR spectra, respectively. This study shows that the matrix of actual sugarcane bagasse in the NIR calibration model was necessary for getting the accurate results than those obtained by using a more comprehensive concentration range of analyzes obtained from the NIR calibration model, including the simulated samples. Essentially, NIR spectroscopy can be used to predict the necessary chemical constituents of sugarcane bagasse prior to converting biomass to substitute energy with fast detecting and reducing the use of chemicals.

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References

Arni, S.A. 2018. Extraction and isolation methods for lignin separation from sugarcane bagasse: a review. Ind. Crops Prod. 115: 330–339.

Asagekar, S.D. and V.K. Joshi. 2014. Characteristics of sugarcane fibres. Indian J. Fibre Text. Res. 39: 180–184.

Betancur, G.J.V. and N. Pereira Jr. 2010. Sugarcane bagasse as feedstock for second generation ethanol production. Part I: diluted acid pretreatment optimization. Electron. J. Biotechnol. 13(3): 1–9.

Dashtban, M., H. Schraft and W. Qin. 2009. Fungal bioconversion of lignocellulosic residues; opportunities & perspectives. Int. J. Biol. Sci. 5(6): 578–595.

Dias, M.O.S., T.L. Junqueira, O. Cavalett, M.P. Cunha, C.D.F. Jesus, C.E.V. Rossell, R.M. Filho and A. Bonomi. 2012. Integrated versus stand-alone second generation ethanol production from sugarcane bagasse and trash. Bioresour. Technol. 103: 152–161.

Esbensen, K.H. 2010. Multivariate Data Analysis–In Practice. 5th Edition. CAMO Process AS, Oslo, Norway.

Haghdan, S., S. Renneckar and G.D. Smith. 2016. Sources of lignin, pp. 1–11. In: O. Faruk and M. Sain, (Eds.), Lignin in Polymer Composites. William Andrew, Waltham, Massachusetts, USA.

Iiyama, K. and A.F.A. Wallis. 1989. Effect of acetyl bromide treatment on the ultraviolet spectra of lignin model compounds. Holzforschung. 43: 309–316.

Khaenson, W., S. Maneewan and C. Punlek. 2018. Assessment of the environmental impact of biomass electricity generation in Thailand. Int. J. Renew. Energy Res. 8(1): 302–312.

Liu, L., X.P. Ye, A.R. Womac and S. Sokhansanj. 2010. Variability of biomass chemical composition and rapid analysis using FT-NIR techniques. Carbohydr. Polym. 81: 820–829.

Matt, A.S., F. Agblevor, M. Collins and D.K. Johnson. 1996. Composition analysis of biomass feedstocks by near infrared reflectance spectroscopy. Biomass Bioenergy. 11(5): 365–370.

Mussatto, S., G. Dragone, G.J.M. Rocha and I. Roberto. 2006. Optimum operating conditions for Brewer’s spent grain soda pulping. Carbohydr. Polym. 64: 22–28.

Nicole, L., H.L. Seung, W.C. Hyun, K.J. Myong and A. Nicolus. 2008. Enhanced discrimination and calibration of biomass NIR spectral data using non-linear kernel methods. Bioresour. Technol. 99: 8445–8452.

Okano, K., Y. Iida, M. Samsuri, B. Prasetya, T. Usagawa and T. Watanabe. 2006. Comparison of in vitro digestibility and chemical composition among sugarcane bagasses treated by four white‐rot fungi. Anim. Sci. J. 77(3): 308–313.

Phumichai, T., T. Tonusin, R. Rungtumnan, S. Chotchutima and S. Kasemsumran. 2020. Rubber wood properties testing for biomass energy by using visible-near infrared spectroscopy. Thai J. Agric. Sci. 53(2): 67–75.

Phuphaphud, A., K. Saengprachatanarug, J. Posom and K. Maraphum. 2019. Prediction of the fiber content of sugarcane stalk by direct scanning using visible-shortwave near infrared spectroscopy. Vib. Spectrosc. 101: 71–80.

Ratanasumarn, N. and P. Chitprasert. 2020. Cosmetic potential of lignin extracts from alkaline-treated sugarcane bagasse: optimization of extraction conditions using response surface methodology. Int. J. Biol. Macromol. 153: 138–145.

Rocha, G.J.M., V.M. Nascimento, A.R. Gonçalves, V.F.N. Silva and C. Martín. 2015. Influence of mixed sugarcane bagasse samples evaluated by elemental and physical-chemical composition. Ind. Crops Prod. 64: 52–58.

Rodríguez-Zúňiga, U.F., C.S. Farinas, R.L. Carneiro, G.M. da Silva, A.J.G. Cruz, R. de Lima Camargo Giordano, R. de Campos Giordano and M.P. de Arruda Ribeiro. 2014. Fast determination of the composition of pretreated sugarcane bagasse using near-infrared spectroscopy. Bioenergy Res. 7: 1441–1453.

Santo, M.E., C.A. Rezende, O.D. Bernardinelli, N. Pereira Jr., A.A.S. Curvelo, E.R. deAzevedo, F.E.G. Guimarães and I. Polikarpov. 2018. Structural and compositional changes in sugarcane bagasse subjected to hydrothermal and organosolv pretreatments and their impacts on enzymatic. Ind. Crops Prod. 113: 64–74.

Sluiter, A., B. Hames, R. Ruiz, C. Scarlata, J. Sluiter, D. Templeton and D. Crocker. 2008. Determination of Structural Carbohydrates and Lignin in Biomass. National Renewable Energy Laboratory, USA.

Soccol, C.R., L.P.S. Vandenberghe, A.B.P. Medeiros, S.G. Karp, M. Buckeridge, L.P. Ramos, A.P. Pitare-lo, V. Ferreira-Leitão, L.M.F. Gottschalk, M.A. Ferrara, E.P.S. Bom, P. Moraes, J.A. Araújo and F.A.G. Torres. 2010. Bioethanol from lignocelluloses: status and perspectives in Brazil. Bioresour. Technol. 101: 4820–4835.

Williams, P., J. Antoniszyn and M. Manley. 2019. Near Infrared Technology: Getting the Best Out of Light. AFRICAN SUN MeDIA, Stellenbosch, South Africa. Wolfrum, E.J. and A.D. Sluiter. 2009. Improved multivariate calibration models for corn stover feedstock and dilute-acid pretreated corn stover. Cellulose. 16: 567–576.

Workman Jr., J. and L. Weyer. 2008. Practical Guide to Interpretive Near-Infrared Spectroscopy. CRC Press, Inc., Florida, USA.

Wu, L., M. Li, J. Huang, H. Zhang, W. Zou, S. Hu, Y. Li, C. Fan, R. Zhang, H. Jing, L. Peng and S. Feng. 2015. A near infrared spectroscopic assay for stalk soluble sugars, bagasse enzymatic saccharification and wall polymers in sweet sorghum. Bioresour. Technol. 177: 118–124.

Xu, C., F. Liu, Md. A. Alam, H. Chen, Y. Xhang, C. Liang, H. Xu, S. Huang, J. Xu and Z. Wang. 2020. Comparative study on the properties of lignin isolated from different pretreated sugarcane bagasse and its inhibitory effects on enzymatic hydrolysis. Int. J. Biol. Macromol. 146: 132–140.