Near-infrared analysis and model optimization about main Chemical Components of pulpwood in Hainan Province
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In order to improve the utilization of pulpwood in Hainan Province, alleviate the shortage of pulping materials, reduce pollution and overall costs in Chinese pulping and papermaking industry, this study aimed to use near- infrared spectroscopy to realize the rapid analysis of holocellulose and Klason lignin content in pulpwood. A holographic grating near-infrared pectrometer, with a simple structure and easy modification, was used to collect the near-infrared spectrum of 205 samples of pulpwood common in Hainan (E.urophlla× E.tereticornis, Eucalyptus urophylla×grandis, Eucalyptus urophylla, Acacia mangium, Acacia crassicarpa Benth.), and the content of holocellulose and Klason lignin were measured ccording to the traditional laboratory methods. Suitable pretreatment methods were selected in combination with partial least squares (PLS) to establish analysis models of holocellulose and Klason lignin. Then genetic algorithm was used to eliminate the irrelevant variables and clarify the feature absorption of holocellulose and Klason lignin in order to optimize the models. The holocellulose model was established by pretreatment methods of smoothing, vector normalization, first derivative of the original spectrum, with 1150.3~2362.0nm bands participated in modeling. The RMSEP value of the model was 0.55% and the absolute deviation range was -0.91~0.87%. The Klason lignin model was established by pretreatment methods of smoothing, multiplicative scatter correction(MSC), second derivative of the original spectrum, with 1137.6~1872.5nm and 2131.0~2424.1nm bands participated in modeling. The RMSEP value of the model was 0.45% and the absolute deviation range was -0.76~0.79%. The RPD values of the two models were 4.71 and 3.47, respectively, which can meet the industrial needs of online rapid analysis. At the same time, this study provides a theoretical basis for the establishment of a near-infrared characterization system for pulpwood.
Keywords: near-infrared; Genetic Algorithm; characteristic wavelengths; holocellulose; Klason lignin
ID: 3486598