Open Access

ARTICLE

Application of Wavelength Selection Combined with DS Algorithm for Model Transfer between NIR Instruments

Honghong Wang¹, Zhixin Xiong^1,*, Yunchao Hu¹, Zhijian Liu¹, Long Liang²

1 College of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing, 210037, China
2 Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry, Nanjing, 210042, China

* Corresponding Author: Zhixin Xiong. Email:

(This article belongs to the Special Issue: Process and Engineering of Lignocellulose Utilization)

Journal of Renewable Materials 2023, 11(6), 2713-2727. https://doi.org/10.32604/jrm.2023.025817

Received 01 August 2022; Accepted 17 October 2022; Issue published 27 April 2023

Abstract

This study aims to realize the sharing of near-infrared analysis models of lignin and holocellulose content in pulp wood on two different batches of spectrometers and proposes a combined algorithm of SPA-DS, MCUVE-DS and SiPLS-DS. The Successive Projection Algorithm (SPA), the Monte-Carlo of Uninformative Variable Elimination (MCUVE) and the Synergy Interval Partial Least Squares (SiPLS) algorithms are respectively used to reduce the adverse effects of redundant information in the transmission process of the full spectrum DS algorithm model. These three algorithms can improve model transfer accuracy and efficiency and reduce the manpower and material consumption required for modeling. These results show that the modeling effects of the characteristic wavelengths screened by the SPA, MCUVE and SiPLS algorithms are all greatly improved compared with the full-spectrum modeling, in which the SPA-PLS result in the best prediction with RPDs above 6.5 for both components. The three wavelength selection methods combined with the DS algorithm are used to transfer the models of the two instruments. Among them, the MCUVE combined with the DS algorithm has the best transfer effect. After the model transfer, the RMSEP of lignin is 0.701, and the RMSEP of holocellulose is 0.839, which was improved significantly than the full-spectrum model transfer of 0.759 and 0.918.

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Keywords

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