As crucial step of lignocellulosic materials processing, pretreatments are carried out to break the structure of lignocellulose and make components accessible for further conversions. Today, several delignificant methods have been developed at industrial level (i.e., steam explosion, alkali washing, dilute acid hydrolysis, ammonia fiber explosion, organosolv extraction, wet oxidation), each of them inducing chemical/physical modification on biomass structure, depending on the amount of degraded lignin and on the overall effect on vegetal matrices. NIR Spectroscopy with chemometric analysis based on Cluster Analysis and Principal Component Analysis, has allowed to perform a qualitative study on banana rachis, a lignocellulosic residue of agricultural production, submitted to different delignificant pretreatments. In particular, Organosolv (ethil-acetate, ethanol and acetone) pretreatment, oxidative delignification with sodium hypochlorite, electro-chemically activated (ECA) solution of active chlorine has been carried out, and compared with non-treated banana rachis samples, with the aim to evidenced similarity or differences in sample structures. FT-NIR diffuse reflectance spectra of treated and non-treated rachis samples were collected with a NIRFLex N-500 (Büchi, Switzerland). All the chemometric analyses including math pretreatments, calibration and validation were performed using NIRCal 5.4 (Büchi, Switzerland). Calibration was performed with 66 samples using all data points in the near infrared region from 8,000 to 4000 cm−1, while the remaining 32 were used for blockwise cross validation. Cluster calibrations have permitted to clearly group samples submitted to the different delignificant agents, to different time of treatments and to different combinations of treatments. FT-NIR spectra combined with multivariate cluster analysis has shown to have great potential as an analytical tool for qualitatively characterizing lignocellulosic samples and lay the ground for successive quantitative determinations.
Potential of NIR Spectroscopy to classify different delignificant pre-treatments on lignocellulosic biomass: the case study of banana rachis
Stefania Costa;Paola Pedrini;Elena Tamburini
2016
Abstract
As crucial step of lignocellulosic materials processing, pretreatments are carried out to break the structure of lignocellulose and make components accessible for further conversions. Today, several delignificant methods have been developed at industrial level (i.e., steam explosion, alkali washing, dilute acid hydrolysis, ammonia fiber explosion, organosolv extraction, wet oxidation), each of them inducing chemical/physical modification on biomass structure, depending on the amount of degraded lignin and on the overall effect on vegetal matrices. NIR Spectroscopy with chemometric analysis based on Cluster Analysis and Principal Component Analysis, has allowed to perform a qualitative study on banana rachis, a lignocellulosic residue of agricultural production, submitted to different delignificant pretreatments. In particular, Organosolv (ethil-acetate, ethanol and acetone) pretreatment, oxidative delignification with sodium hypochlorite, electro-chemically activated (ECA) solution of active chlorine has been carried out, and compared with non-treated banana rachis samples, with the aim to evidenced similarity or differences in sample structures. FT-NIR diffuse reflectance spectra of treated and non-treated rachis samples were collected with a NIRFLex N-500 (Büchi, Switzerland). All the chemometric analyses including math pretreatments, calibration and validation were performed using NIRCal 5.4 (Büchi, Switzerland). Calibration was performed with 66 samples using all data points in the near infrared region from 8,000 to 4000 cm−1, while the remaining 32 were used for blockwise cross validation. Cluster calibrations have permitted to clearly group samples submitted to the different delignificant agents, to different time of treatments and to different combinations of treatments. FT-NIR spectra combined with multivariate cluster analysis has shown to have great potential as an analytical tool for qualitatively characterizing lignocellulosic samples and lay the ground for successive quantitative determinations.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
